Easy Agile Podcast Ep.23: How to navigate your cloud migration journey
"Having gone through a cloud migration at Splunk, Greg share's some insightful key learnings, challenges and opportunities" - Chloe Hall
Greg Warner has been involved with the Atlassian ecosystem since 2006 and is a frequent speaker at Atlassian events. Greg has worked as a senior consultant for a solution partner, supported Jira and Confluence at Amazon, and in his current role at Splunk, executed a cloud migration to Atlassian Enterprise Cloud for over 10,000 of his colleagues.
In this episode, Greg and Chloe discuss the cloud migration journey:
📌 The mental shift to cloud migration and how to think beyond the technical side
📌 How to navigate the journey without a roadmap to follow
📌 The four pillars to success for your cloud migration journey
📌 Finding the right time to migrate & thinking about future opportunities beyond your migration
📌 The unexpected value that can come from a cloud migration
+ more!
📲 Subscribe/Listen on your favourite podcasting app.
Thanks, Greg and Chloe!
Transcript
Chloe Hall:
Hey everyone and welcome back to the Easy Agile Podcast. So I'm Chloe, Marketing Coordinator at Easy Agile, and I'll be your host for today's episode. So before we begin, we'd like to acknowledge the traditional custodians of the land from which I am recording today, the Wodiwodi people of the Dharawal-speaking nation and pay our respects to elders past, present, and emerging. We extend that same respect to all Aboriginal and to Australia Islander peoples who are tuning in today.
Chloe Hall:
So we have a very exciting guest on the podcast today. This guest has been involved with the Atlassian ecosystem since 2006 and is a frequent speaker at Atlassian events. He has worked as a senior consultant for a solution partner, supported Jira and Confluence at Amazon and at his current role at Splunk, executed a cloud migration to Atlassian Enterprise Cloud for over 10,000 colleagues. So welcome to the Easy Agile podcast, Greg Warner.
Chloe Hall:
How are you?
Greg Warner:
Good, and thank you for having me.
Chloe Hall:
No worries. It's great to have you here today.
Greg Warner:
This is one of my favorite topics. We talk about cloud migration and yeah, I hope I can explain why.
Chloe Hall:
Yes, that's exactly what we want for you because I remember when we met at Team 22, you were just so passionate about cloud migration and had so many insights to share and I was very intrigued as well.
Greg Warner:
To give it a bit background about myself.
Chloe Hall:
Yeah.
Greg Warner:
I haven't always been a cloud person. So you mentioned before about being involved since 2006. I was involved early days with when Jira had the several different flavors of standard and professional, when you'd order an enterprise license for Atlassian and they'd send you a shirt. That was one of the difference between one of the licenses. So based a lot in the server versions, over many years. I looked at the cloud as being the poorer cousin, if you like.
Greg Warner:
I'd been to several Atlassian summits and later Team events where there was always things of what was happening in cloud but not necessarily server. I participated in writing exam questions for Atlassian certification program for both server and DC. For me, in the last 18 months, two years now, to make this fundamental shift from being certainly a proponent of what we do doing on server in DC to now absolutely cloud first and that is the definite direction that we as a company have chosen and certainly why I'm so passionate about speaking to other enterprise customers about their cloud migration journey.
Chloe Hall:
Wow. So what do you think it was that you were like, okay, let's migrate to the cloud, as you were so involved in the server DC part of it? What was it that grabbed your attention?
Greg Warner:
I joined Splunk in 2019 and it wasn't all roses in regards to how we maintained Jira and Confluence. It wasn't uncommon to have outages that would last hours. For two systems that were just so critical to our business operations to have that, I was kind of dumbfounded but I thought, hey, I've been here before. I have seen this. And so it was a slow methodical approach to root cause our problems, get us to a version that was in long-term support, and then take a breather.
Greg Warner:
Once we got to that point where we didn't have outages, we kind of think of what the future would be. And for me, that future was exactly what I'd done before, what I'd done at Amazon, which is where we would move all of our on-prem infrastructure, Jira, Confluence, and Crowd to public cloud, whether it would be a AWS or GCP, something of that flavor. I'd done that before. I knew how we were going to do that to the extent that I'd even held meetings in my team about how we were going to stand up the infrastructure, what the design was going to be.
Greg Warner:
But there was probably one pivotal conversation that was with our CIO and it was in one of those, just passing by, and he's like, "Greg, I've seen the plans and the funding requests." He's like, "But have you considered Atlassian Cloud?" Now, the immediate personal reaction to me was like, we are not going to do that because I'd seen the iterations. I'd seen it over time. I'd worked for a solution partner. I'd worked with customers in cloud, never really thought we could be enterprise-ready. So my immediate reaction was not going to do that. I said, "I'm not going to answer that question right now." I said, "I don't know enough to give you an answer."
Greg Warner:
And I'm absolutely glad I did that because I would've put a foot in mu mouth had I given the immediate response that was... So yeah, I took that question, went and did some analysis, spoke to our technical account manager at the time, and really looked at what had been going on and where was cloud today? Where was it in its maturity? And the actual monumental thing for me was that I think it's actually ready. People make excuses for why they can't do it, but there are a bunch of reasons why you should. And if we look at us as a company, with our own products that we are moving our own customers to cloud, and we are using cloud services, like Google Workspace and Zoom and a variety of SaaS applications. What was so different about what we did in engineering that couldn't go to cloud? And that was like, okay, I think the CIO was actually asking me a much bigger question here.
Greg Warner:
So the result of that was yes, we decided that it was the right time for Splunk to move. And that is a monumental shift. And I know there's a lot of Jira admins out there that are like, if you do this, you're putting your own jobs at risk. The answer is no, you're not. And even within my team, when we had we'd discussed this, there was emotional connection to maintaining on-premise infrastructure and were we giving our own jobs away if we do this? There's all those... No.
Greg Warner:
And there have actually been two people in my team that got actually promoted through the work of our cloud migration that otherwise wouldn't have because they could demonstrate the skills. But that's kind of like the backstory about how we decided to go to cloud. And I think as we are thinking about it, there is a mental shift first. Before you even go down the technical path about how you would do it, change your own mind so that it's open so that you're ready for it as well.
Chloe Hall:
Yeah, I love that. It's so good. And I think just the fact that you didn't respond to your CIO, did you say that?
Greg Warner:
Yep.
Chloe Hall:
That you didn't respond to your CIO straight away and you weren't like, "No, I don't want to do that." You actually stepped away, took that time to do your research, and think maybe cloud is the better option for Splunk, which is just so great and really created that mental shift in yourself. So when you say that your employees, like everyone kind of has that beef that, oh, we're going to lose our job if we move from on-prem to cloud and those employees ended up getting promoted. How did their roles change?
Greg Warner:
When we moved from on-prem to cloud, you no longer have to maintain the plumbing, right?
Chloe Hall:
Yeah.
Greg Warner:
You no longer have to maintain all the plumbing that's supporting Jira, Confluence, BitBucket, whatever is going to move. Now we thought that was the piece that's actually providing value to the organization. And it wasn't until we went to cloud, we actually realized it wasn't. Like what we can do now is different. And that's what my team has done. They've up-leveled.
Greg Warner:
So in the times since we moved from Jira, Confluence on-prem to cloud, we now get involved a lot more with the business analysis and understanding what our project teams want. So when someone from engineering is requesting something that has an integration or a workflow, we've got more time to spend on that than are we going to upgrade? Are we on the current feature release? Is there a bug we have to close? Log for J as a prime example where the extent of where we covered was logging a call with the Atlassian enterprise support and then telling us, "Yep, it's done."
Greg Warner:
Whereas other colleagues within the ecosystem that I spoke to spent a week dealing with that, right? Dealing with patching and upgrades. So the value for our team in the work we do has shifted up. We've also done Jira advanced roadmaps in that time. So we've been able to provide things we would've never got to because we're too busy to the plumbing, to the extent now that we have a very small footprint of on-prem that remains and that's primarily FedRAMP and IO5. It's not quite certified yet. It's going to get there. So we have a very small footprint and I'm the one who has to do the upgrades and now you look at it like, oh my god, that's going to be this couple-week tasks we going to do where I could do all this other better work that's waiting for us in cloud. You don't realize it until you have it removed how much you used to do.
Greg Warner:
And so we used to do two upgrades of Jira year and two upgrades of Confluence a year. We put that down to about a month's work of each. By the time you do all of your testing and you're staging and then do that. So you're really looking at four months of the year you were spending doing upgrades. We don't have that anymore. It's completely gone. And so now we make sure that we do things cloud first. We don't bring across behaviors that we were doing on-prem into cloud. So that's probably one thing we learned was that don't implement server DC in cloud.
Chloe Hall:
Yeah, that's so great. It seems like it's opened up a lot more opportunity for you as well. So I think something that I kind of want to look into and understand a bit more is that people focus a lot on the technical aspect of the cloud migration. What other aspects do you think need to be considered?
Greg Warner:
Certainly people. I mentioned at the very front here the mental mindset and that really started with my team, to get their mind around how we're going to do this cloud migration. There isn't necessarily yet a roadmap that says these are all the steps need to take to get ready for your cloud migration. So we had to invent some of those and one of those two was, what did we want to get out of the cloud migration?
Greg Warner:
I speak to other Atlassian customers. You talk about they're running a project, the project is the cloud migration, the start and the end is the cloud migration day. No, completely wrong. The cloud migration actually has a beginning, a middle, and an end. What you're talking about here, about this first changes is in the beginning, and that should be we're moving to cloud because it should be fundamentally better than what we have today.
Greg Warner:
If it's not better, there's no value in doing the activity. So we started with a vision and that vision was that all of the core things had to work from day one and they had to work better. So create issue, edit issue, up to issue, that just needs to work. There should be no argument whether it does or does not. That needs to work and work better. Create a page, edit a page, share a page. That stuff needs to work in Confluence without any problems. We also need to make sure that there are people in the organization who this could be a fundamental change of how they work, depending on how much they work with Jira and Confluence. So appreciating that there is some change management and some communications that needs to be ready as you do your cloud migration to ensure that your vision is going to work, but also acknowledging you will break some things. You're not going to be able to do a cloud migration and shift you from A to B without nothing.
Greg Warner:
It will go wrong. So we were aware of that and for that, what I would always tell people was that we're really fixed on the vision of making it sure it's better than it was today, but flexible on the details, how we get there. We will probably find different ways as we go along because things will change. Cloud changes itself. You'll discover things you didn't know before. There was a Jira admin that made a decision 10 years ago, you now found that. So yeah, very, very fixed on that vision that day one that we had to have this unboxing experience that when people got to use Jira and Conference Cloud for the first time, they could see why we'd spent so much effort to make sure it was polished and things just worked. And as you went a bit further out, there might be things to do with apps that might not be quite the same.
Greg Warner:
That's okay. And then further out, things you just ultimately can't control. And for that, we had 76 integrations of teams that had written automations from all over the company. We're never going to get to find out what they do, but we knew that some of those would probably break. And so just dealing with some change control and allowing those people to know this is coming, what the rest endpoints will be, how to set up their API keys. We did a lot of that, but we did have one integration that broke and that integration broke because the entire team was on PTO or leave that week. We can't avoid that one. But it was good to see other teams actually jumped in because they'd been involved in updating theirs to go help fix that. So that was okay. We had one integration that we really gave the white glove support to and that was for... We have a Salesforce to Jira integration that's a revenue-generating integration.
Greg Warner:
We gave that a lot of attention to make sure that just worked. But the 76 others, we provided a runbook. The runbook was essentially teams, you do things like this. So they knew how to change and update to the new system. But yeah, certainly the beginning, middle and end. The beginning is all those shifts that you're going to have to change and probably some history about design decisions. The middle is in fact your cloud migration and the end, middle to the end is everything you do with it afterwards. So that's where the real value comes from in your cloud migration. It's once you're in, what can we do with it?
Greg Warner:
And we are towards the end of that now. There have been things that I couldn't have planned for that people have done. So we did your advanced roadmaps, saving the forest there, but also we're encouraging our staff to extend the platform. That used to be really difficult and we've worked with Atlassian to understand what should that look like? And we've settled on using it Atlassian Forge. And so now we have our first app this week, in UAT, in Atlassian Cloud to solve business problems that we have. That's a custom Atlassian Forge app. And we're encouraging our engineers to build those and so they can extend and get that real value through the cloud migration.
Chloe Hall:
Yeah, wow. You've come so far and it's nice to hear that you're towards the end of it and all the opportunities are coming with it and you're seeing all the value. It's all paying off as well. I think I just want to go back to that moment where you talk about there isn't essentially a roadmap outlay. There isn't someone or something to follow where it says this is where you need to start. These are the steps to cloud migration. And I think a lot of people, that's what they fear. They're like, we're not sure exactly where to start. We're not sure what roadmap we'll follow. How do you navigate that in a way?
Greg Warner:
So I get back to that when I talked about the vision. We said we're fixing the vision flexible details. Early on when we signed for cloud migration, it was in the first week after we'd signed for it, that same CIO asked me, "Greg, what's our date? When are we moving? Because you've sold me that this is so much better. Where's the action? When are we get this?" And we took a good six weeks after we signed to actually understand the tooling that's available. So for Jira, there's really two options. There's the Jira site import and the Jira cloud migration assistant. And on Confluence side, there's one that's called the Confluence cloud migration assistant. Better kind of understand how those technologies work. And for a couple weeks there, my team actually considered if we did the migration ourself, we could probably save the company a bunch of money and we would own it.
Greg Warner:
We would know how this thing worked. We got about four weeks in and decided that was a terrible idea. Do not do that. Any enterprise customers I talk about that say we're going to do it ourselves, do not do that. Do not do that. And part of the reason is that there's really four pillars to success for your cloud migration. Jira migration, Confluence migration, apps, and users. And we did not know how to do apps and users and we probably could have gotten away with Confluence and Jira. But we said, look, this is something that we actually need to have a partner involved. And so we did ask for partners to provide their way of doing it, knowing what they knew about us. And we did provide as much detail as we can. We had two partners actually provided completely different methodologies how to get there.
Greg Warner:
So this is that flexible on the details, but we really had to make a decision on what worked for us. So when it really came down to Jira, would we do a big bang approach and just switch it over in the course of a weekend or did we want to do cohort by cohort over time? And we decided for us, because we are a 24/7 organization that's supporting our customers, doing the big bang switchover, that was the best way to do it. So that's one of the reasons we chose the partner we did. But that partner didn't necessarily have a roadmap of where they want to go. But we did then explain what we want to get out of this. That was the first thing, was about it needs to happen on a weekend. So that then filters down what your choices are. The ecosystem apps part is really important to make sure that one, there may have been apps installed in your system that have been there for 10 years and you're not sure why they're there anymore because it was four Jira admins ago.
Greg Warner:
Nobody knows what's there. But if they don't have a cloud migration pathway, you really should consider they're probably going to hit their end because there is no equivalent. So you can rule them out. Identify the ones that do have a business process with them. And for that, Salesforce for us, we had to find a cloud-first connect that would work. So that meant that we knew that was going forward. But really, I think the key thing that we invented that we didn't know about was that we created this thing called an App Burn Down. And that's where we looked at all the apps we had. We had about 40 apps. We said, okay, which ones are not going to go to cloud? Which ones don't have a migration pathway? Which ones are going to replace something else? And so we started to remove apps over the course of about three months.
Greg Warner:
So people would see that we're starting to get away from on-prem design decisions and old ways of doing things. But we also said, but once we get to cloud, this is the pathway out of it. So that we said, look, we're going to turn this app off but you're going to get this one instead, which is the cloud-first app. So people could see how we're going to make the jump over the river to get there. But it meant that we would, over time, identify apps that weren't used. If we turned them off and nothing happened, it's fine. But also we did come across some where they were critical to a business use. And so if we didn't have an answer for those yet, it gave us time to find one. And with your user base, typically it's your colleagues, that's going to be your most critical customers. They're going to ask, okay, you're turning it off. When do I get the functionality back?
Greg Warner:
And by doing that App Burn Down over time, that does buy you time to then have that answer. So it's a much easier conversation than I'm simply turning off functionality, I don't have an answer for you yet. There are things like that. It wasn't necessarily a roadmap, but working with a solution partner is absolutely the right way to go. Don't try and do it yourself. They also work with Atlassian and they have far better reach into getting some of these answers than you can possibly ever have. And I have on at least three different occasions where our solution partner did go and speak directly with an ecosystem partner to find out what's the path forward. How can we make this work? So it is good. The migration is really a three-way collaboration between yourself, your solution partner, and Atlassian. And you all have the same goals. You want to get to cloud and it does work really well.
Chloe Hall:
Wow. Yeah. So sounds like hope everyone got that advice. Definitely don't take this on your own. Reach out to solution partner. And I really like how you said you went to two different solution partners and you found out what their ideas were, which ways they wanted to take you, so you could kind of explore your options, work out what was the best route for Splunk. And it's worked very well for you as well. Having that support I think as well. Yeah. Sorry, you go.
Greg Warner:
The choice of the partner is really important and it's probably one of the earliest decisions that we made to get that one right. And I remember several times thinking about, have we got the right people on board? Did we speak to... And it was an interview process to the extent that when we had our final day after we'd been working with Atlassian and with our partner for six months, one month after our migration was completed and we're all done, we had one final Zoom call with all of us and took a photo and did that. But it kind of felt like a breakup, to be honest, because we'd been in each other's faces for six months and working. We're now all saying goodbye. We might not see each other. It was like the weirdest feeling. But it did work. And so yeah, it is a real fundamental choice.
Greg Warner:
Just take the time, make sure they understand what we want to do, make sure you understand how they're going to do it. But yeah, if we have done it ourselves, we would've got ourselves all caught up in knots, wouldn't have been a successful migration or so. I'm a technical guy. I want to solve it. I want to be like... But I think the actual right answer was no, you don't need to know how this works 100% because you're going to do this hopefully just once. And so focus on the real business value things about dealing with stakeholders and the change and making design decisions that are really important for you because you're going to own those probably the next decade rather than worrying about how do I get my data from A to Z?
Chloe Hall:
Yeah. It definitely would've felt like a breakup for you because you would've been working side by side for so long, dealing with so much. Are you still in contact with them or...
Greg Warner:
Yeah, we had this fundamental thing we always said is we're always, if there's a problem, we're always cautiously optimistic, we're going to solve it. We did engineering challenges that we went through, but I did say right early on is, the ecosystem is only big and we're all going to bump into each other at some point. So yeah, let's make sure that we're still friends at the end of this. And I didn't realize how important that was until later when I was in New York for Christmas and I arranged to meet the project manager that worked for us. She lives in New York, so how about I meet you so... So we met each other at the hotel and she's like, "I have never met a customer outside of work to do this." Yeah, I gave the story about it felt like a breakup, but she did say that at the beginning you said we'll be friends after.
Greg Warner:
Yeah it is because it can be really hard. I've been on the consultant side where you kind of have to have some hard conversations and sometimes... You want to make sure that everyone understands the problem. You're trying to make it better so that at the end of it, you can still be friends like that. That is the thing. There probably will be engagements later on that you might need them again. So you want to make sure that you have your choice of best in breed partner to choose from. You have those relationships. They understand what you want to choose. So yeah, it is really important to choose the right partner. Don't necessarily based on price but choose the partner that's going to work for you, understands what you're trying to get out of your cloud migration and they'll be there in the future when you need them for another cloud migration or a much more gnarly project. Try and be friends at the end of it.
Chloe Hall:
And definitely it's good that you have that friendship now because they have that understanding about your business and what you want and the value of it. So if you do need help again, it's a lot easier to bring them on board straight away. So now that you've performed a cloud migration and you're coming towards the end of it, do you look at the process any differently to when you were at the very beginning?
Greg Warner:
Yeah, I thought we were just executing a data migration just yeah, on-prem to cloud.
Chloe Hall:
Yeah.
Greg Warner:
Pretty straightforward, nothing big. I was pleasantly surprised as we're making some of these decisions as we went along, that it was more than that. There were business processes that we could improve. There was the beginning, the middle, and end. I didn't realize that until actually after the end. So when we did our cloud migration, it was actually the week before Thanksgiving in the US. It was November 19. And even that decision was made in just going for a walk at lunchtime. When should we really do this? And I kind of came down again, spoke to my project manager and said, "How about we do this in the cloud migration the week before Thanksgiving?" Because 50% of our workforce is located in the US and a large proportion of that will be on leave or PTO before.
Greg Warner:
So by doing it over a weekend before then we're ensuring that... Like when you open a new restaurant. You don't want to have all of your tables full on the first night. We knew that we were going to have everybody using Jira and Confluence day one after a migration because we're going to break some stuff. They actually turned out to be really exceptionally good idea. And I encouraged people to find... Look at your data and work out when is low time to do this? I've been involved in Jira and Confluence for a long time and just thought it's task tracker and it's a wiki. There's nothing there that I don't really know about. But one of the decisions we made was actually that when we completed the data migration and it was ready to go, I always said if we waited, do we get a better result? And the answer was no.
Greg Warner:
We should make this available to people now. And so we opened it up on a Sunday morning in the US, which was starting to be business hours in Australia. We started making teams aware that they can now go ahead and use Jira and Confluence. And it was the feedback that we immediately got from those teams that were starting to use Jira service management in cloud for the first time, about, "Wow, this is so much better than it was on-prem." And people said, "I can actually see the attention to detail you've made on fields and descriptions and the changes you've made." And it started to impact people's workday that this was better than it was. I didn't expect that to come back. And so I have a montage that we share with the team of all these Slack messages from people saying, "This is really good. This is much better than we had before."
Greg Warner:
What I didn't also realize is that when we moved from on-prem to cloud is the data that we had became more usable and accessible. Hadn't planned that. It seems obvious now, but when we put it in cloud and it has all the security controls around it and now no longer has the requirements of things like VPN to get access to it, people could build new things to use it to be able to interact with your issues, to interact with pages. And so we started with 76 integrations and over space of three months now we had this big jump in the first three months up to about a hundred something and now we're going to Forge And what it means is people who have had this need to be able to get to the data can now get to it. I didn't see that coming. I just thought we were just server cloud. But yeah, having a more accessible has led to improvements in the way that our teams are working but also how they use it in other applications that just simply wasn't available before.
Chloe Hall:
Yeah. Wow. That's great. And it's good that you were able to receive that feedback straight away from the teams that you had in Australia. I think that's really good and it sounds like it's created such a good opportunity for you at Splunk as well now that you're on cloud.
Greg Warner:
Yeah, it's certainly a business leader that can propel you forward and I eagerly come in now and look at what are other teams going to do with it. And so when we had the first team that said they want to build a Forge app, I'm like, Sure. We should not discourage that at all. Extend the platform. That's why we spent the money and time to do it. What can you do with it now? And we did certainly make Atlassian aware on the product side, like how we're using it and where we'd like to see improvements. If you look at the server DC comparison, I used to be that person that would look at the new features in cloud and ask that question about, when is that new feature coming to on-prem? To going to being that customer who's now, I have that feature today, right? And I'm using it because we don't wait for it.
Greg Warner:
So you mentioned about things you didn't plan from the roadmap. There are design decisions that I talk to enterprise customers that I need to make aware of about. One of them is to do with release tracks. In enterprise cloud, you can choose to bunch up the change to cloud and then they get released periodically every two weeks, every month. When I looked at that, came back to one of our principles about don't implement server in cloud, why would we do that? Atlassian has far more data points on whether this works for customers at scale than we do. So why would we hold back functionality? So as a result we don't do release tracks. We let all of the new functionality get delivered to us as Atlassian sees fit. And the result of that is our own engineering staff, our own support staff who use Jira, get the notifications about new products and features and this is fantastic.
Greg Warner:
Again, why would we implement server, which is where you would bunch up all your changes and then go forward? The other thing too about our cloud migration journey is don't be blinked that you're just doing a cloud migration today and then the project ends. There are things you need to be thinking about as you go along, but what's the impact in the future? So for us, we have multiple sites. Enterprise customer have multiple sites. So there are design decisions that we've made so that we can, in the future, do cloud to cloud migration. You will move sites. Your organization could be bought or could be buying companies. So you do mergers and acquisitions. And so as part of that, we have some runbooks now that talk about using the cloud-to-cloud tooling so we can move a Jira project from a site here to a site there, how we'd move users here and users there.
Greg Warner:
And that actually came about through the assistance with our TAM, not focusing just always on the cloud migration date but also what's that look like six months later? What's it look 12 months later? So that you don't perform your cloud migration and then lock yourself in a corner that later on now I have to unwind something. I had the opportunity to fix it. So yeah, I do encourage migration customers to also think six months, 12 months beyond their cloud migration. But what could also happen and then speak to your solution partner about design decisions today that could affect you in the future.
Chloe Hall:
Yeah. So you definitely need to be thinking future-focus when you're doing this cloud migration. I know you've addressed a lot of the opportunities that came out of the cloud migration. Was there anything else that was an unexpected value that came from it that you wanted to share?
Greg Warner:
The other value is make it more accessible. We have seen people use it in different places that we hadn't thought about. So some of the things that we were doing before, we had to have a company-owned asset to get on the VPN and just things like that. That actually restricted people in where they could do work. Whereas now we've, as long as you've got a computer or mobile device connected to the Internet, absolutely you can use a mobile device support, you can get access to it. Approvals that used to be done on a computer are now done on a mobile device. Those things. But I think the integrations has been probably been the one thing I'm most... We're not the catalyst. We kind of pushed it along but seeing people get real use out of it and using the data for other purposes. We have seen people build some microservices that use the data from Jira that we couldn't do before. Again, you're just unlocking that potential by making it more usable and accessible.
Chloe Hall:
After going through the whole migration journey and, like you said, you're coming towards the end of it, what were the things that stood out to you that you're like, okay, they didn't go so well? Maybe if I was to do this again, how would I do this better next time?
Greg Warner:
So I get back to that day one unboxing experience. You know you want to give it that best experience. And we delivered that for people in Australia and APAC as we opened it and they got to use Jira for the first time and it worked fine. And that is mainly the result of a lot of emphasis on the Jira piece because we said, we know this is going to be hard. It's got workflows, issue schemes, notifications schemes. This is going to be hard.
Greg Warner:
So we started that one really early and then probably about 60% down through our migration journey, we started on Confluence. We thought how hard can Confluence be. It's a bunch of spaces and pages. It can't be that hard. We actually hit some migration challenges with the engineering tooling with Confluence, which meant that the Confluence UAT was delayed. The Jira UAT was fantastic. Ran for a month. We found some problems, got fixed, got answers. We were really confident that was going to be fine.
Greg Warner:
And then we hit this Confluence piece. We're like, wow, this is going to be a challenge. And there was at least one time I could think of. It was a Saturday morning at breakfast where our solution partner sent me a Slack message about, I think we've got a problem here with some tooling. What are we going to do? Towards the middle of the day, I was kind of scratching my head. This could be a real blocker. We actually worked with Atlassian, came up with the engineering solution, cleared that out. That was good to see, like in the space of 12 to 24 hours, there was a solution. But what it meant was that it delayed the Confluence UAT and it made a week. And there was something we found to do with the new Confluence editor and third-party apps right at the end of that week. And we had to really negotiate with our stakeholders to make this go ahead.
Greg Warner:
Because again, if we'd waited, we'd get a better result. No, we really should go. We know that there's this problem. It's not system-wide but it affects a small group people. So we did it. But for about a hundred people they have this really bad Confluence experience because of this thing. And so for me, I couldn't deliver on that thing I promised, which was a day one experience that was going to be better than what it had before.
Greg Warner:
Now we did work with Atlassian and app vendors to get some mitigation so it wasn't as bad on day five. It wasn't day one but it wasn't perfect. But I would certainly encourage people to make sure that you do treat Jira and Confluence with as much importance as each other. They do go together. When I did our cloud migration, we did it on a weekend and I remember coming back after dropping my kids at school on Tuesday and sitting in the car park. I was like, wow, we actually pulled that off.
Greg Warner:
If we'd propose to the company to move your company email system and your finance system on a weekend, the answer would be no because it's too big a hat. But what we'd said is we're going to move all of our Atlassian stack in a weekend, which really is two big systems, Jira and Confluence. So if I had the time again, we would've started Confluence much, much earlier and then we wouldn't have the need to rush it at the end. And that really did result in a bad day one experience for those people. We have worked with Atlassian since then. We're getting that resolved. We know other Atlassian guys have the same problem. I would start early and don't underestimate the complexity that could happen. There will be some things outside of your control.
Greg Warner:
I talk about this Confluence problem and the migration tooling, which is actually do at scale. Not every customer will see it. We saw it, I conducted customer interviews when we were doing our solution partner decision and the customer actually told me this. Like I should have started Confluence because we had this problem, we wasted some time, and we did it. I even have my notes. But it wasn't until later, same problem, you even had the answer and they told you and you still waited. So I'm spending a few minutes on this podcast talking about it because it happened to me. It's probably going to happen to the next person. So if I could do one thing and that is just encourage you to start it earlier. You're going to end up with a much, much better migration and hopefully can deliver on that day one experience that I couldn't do.
Chloe Hall:
Yeah, no I'm so glad that you've shared that with the Easy Agile audience as well because now they know and hopefully the same mistake won't keep getting repeated. Well, Greg, my final question for you today, and I don't know if you want that to be your answer, but I think it's really good just for the audience, if there's one key takeaway that they can go away with them today from the podcast, what would be that one piece of advice for everyone listening to start their migration journey?
Greg Warner:
The first thing to do is to prioritize it. So if you're an Atlassian customer that's using on-prem Jira or Confluence and you don't have a timeline and you don't have a priority to your cloud migration, start there. Open up the task, which is start to investigate Atlassian Cloud and choose a date. Because yeah, there will come a situation down the track where you might be asked by your CIO and so it's better to have an answer prepared already. I would encourage people to start to look at it because it is the future. If you look across the industry, people are moving to SaaS. It's really a question. Do you want to maintain and be that customer wondering when that feature's coming to cloud or do you want to be that customer in cloud who has it today? We have seen a monumental shift to when we moved to cloud in functionality, availability, all the good things that cloud delivers. And it's one of the biggest promoter... The person that used to write exam questions for servers now saying go to cloud.
Greg Warner:
Absolutely. So when I've spoken to other enterprise customers, particularly at Team, I said like, when do you plan your cloud migration? I was like, wow, we're going to start it in three years. I'm like, three years? You need to go back to the office next week and start like 12 months because yeah you will... There is absolutely a competitive advantage to doing it. And it's not just me being now as biggest cloud opponents. We see it, we see it every day and for me, this is one of the most influential projects I've been involved in with Atlassian since 2006. This one here is going to have a long-lasting effect at Splunk for a long time and I'm happy to speak to yourself at Easy Agile and others about it and here at their cloud journey because I want to go to Team next year. I want to make sure we have these conversations in the whole way about, I got that one thing. It's either I started my Confluence migration earlier or I actually put in a timeline of when we should start our cloud migrations.
Chloe Hall:
Yeah, beautiful. That is some great advice to take away, Greg. And so honestly, thank you so much for coming on the podcast today. You have provided some brilliant insights, takeaways, and also because there is no roadmap, I feel like your guidance is so good for those who are looking to start their cloud migration. Yeah. We really appreciate you sharing your knowledge.
Greg Warner:
All right. Thanks for having me on. Thank you for listening.
Chloe Hall:
No worries.
Related Episodes
- Podcast
Easy Agile Podcast Ep.19 Combining Ikigai and OKRs to help agile teams achieve great results
In this episode, I was joined by Leandro Barreto - Lead Software Engineer at Miro.
Leandro is responsible for helping engineering and product teams to be more productive through metrics and KPIs with a focus on increasing their operational efficiency. Before moving to Europe, Leandro worked for an Atlassian partner company in Brazil as Head of Technical Sales.
In this episode, we spoke about;
- Ikigai - what is it and how do you achieve it?
- The benefits of OKRs
- How can we combine agile, Ikigai and OKRs?
- How Ikigai can help agile teams achieve great results and stay motivated
I hope you enjoy today's episode as much as I did recording it.
Transcript
Robert O’Farrell:
Welcome, everyone, to the Easy Agile Podcast. We have an episode today with Leandro Barreto who is a lead software engineer at Miro. I'm your host for today, Robert O'Farrel. I'm the Growth tech lead at Easy Agile. Before we kick off this podcast, I'd like to acknowledge the traditional custodians of the land from which we broadcast today, the people of the Duruwa-speaking country. We pay our respects to Elders past, present, and emerging and extend the same respect to all Aboriginal and Torres Islander, and First Nations people joining us today on the podcast.
Robert O’Farrell:
Leandro currently works as a lead software engineer at Miro where his responsibility is to help engineering and product teams to be more productive through metrics and KPIs with a focus on increasing their operational efficiency. Before moving to Europe, he worked for an Atlassian partner company in Brazil and acted as a head of technical sales with the mission to increase the service offers in Latin America. Welcome, Leandro. It's great to have you here today.
Leandro Barreto:
Yeah. Thanks, Rob. Thanks also for the Easy Agile for the invite. It's a pleasure to be here today.
Robert O’Farrell:
Fantastic. You're here to talk about Ikigai, objectives and key results or OKRs in Agile, so let's kick it off. Ikigai, what is it? Can you give us a brief or a long explanation of what it is?
Leandro Barreto:
Yeah, of course, of course. So, Ikigai I use it to say is a philosophy of life that means like a reason for being or the meaning of life. So, the world Ikigai originates from a village in Southern Japan, where the average life expectancy of people is over 100 years old. So, Ikigai is basically divided in four components. The first, things you love. Second, something that you are good at, then something that pays you well. And finally, something that the worlds need. So, when you put it all together, then you have the Ikigai, but this is not easy. So, let me explain a little bit of each of these companies.
Leandro Barreto:
So, the first thing is something that you love, something that makes you be present, something that you must ask yourself what do you really enjoy in doing? What makes you happy? What holds your intention that makes you lose time and forget about time? So, for example, reading, dancing, singing, painting, learning, teaching, et cetera. So, maybe it's a little bit difficult to answer right now, but understanding and seeking what you love must is fundamental so that you can have a healthy balance between learning, putting it in practice, testing, failing, trying again, and keep the circle repeating itself.
Leandro Barreto:
So, an example that I can give you is, for example, I had a jujitsu teacher that no matter the day, he was always training. And one day, I remember I got my arm hurt. And in the next day, I had a message from him like 6:00 in the morning, he was asking if I was okay. And I was waking up and he was texting me like, "Hey, are you okay? Are you going to be able to train today?" And I was like, "Whoa, take it easy, man." This is very funny because our class is 6:00 p.m. And he was punctually at the tatami or dojo. I don't know the English word for that.
Robert O’Farrell:
Yeah, dojo. We have dojo. Yeah.
Leandro Barreto:
Dojo. Awesome. Yeah. And he was always punctual. And after the classes, he always said that he wants to get home earlier after the classes because he has private classes. So, from morning to night, he always keeps training and you can see the passion in his eyes when he talks about jujitsu. "It's a passion for me". A little bit exaggerated.
Robert O’Farrell:
Something that definitely got him up in the morning and kept him going throughout the day to the late evening, by the sounds of it.
Leandro Barreto:
Exactly. Yes. And then, you have the second component, which is something that you are good at. Something that you can always improve with yourself. So, for example, what you are really good at. It's quite hard to answer, but what the people say is that I'm do... something correct or what they say something positive that what I do. So, for example, I remember the book Outliers by Malcolm Gladwell that says that usually, you have to spend 10,000 hours in something practicing to be good at.
Leandro Barreto:
So, don't take it as an obstacle but as a motivation to keep going, and understand this part of what you are good at. It's a good way to improve. And the third part is what pays you well? So, money is what... Some people say that "Hey, money don't bring... It's not... how can I say that?
Robert O’Farrell:
Money doesn't bring happiness?
Leandro Barreto:
Yeah, exactly. But it puts a roof in your head. It makes you provide a good life for your family. It makes you travel. It makes you have a hobby. So, according to Maslow, for example, one of the bases of human beings is to start thinking about security. So, we have to have this security in order we can improve as a person. So, money helps you to achieve it. Yeah. So, find something that makes your life as comfortable as you desire to, as you wish to. So, otherwise, you'll always be looking for something that you never had. So, for example, time.
Leandro Barreto:
So, you will spend so much time thinking how can you have more money? And here's the glitch, you will never be paid because you will be stuck on your daily basis thinking on how to get money instead of how to improve your skills to get money. Right? And then, you have the what the world needs. So, here, the idea is to find a proposal for what do you do and what is value to the society, your proposal. And sometimes it's quite difficult to find precisely because of the plurality of positions and responsibilities that we have nowadays. And even more today with the full expansion of technology that every month we have new positions to be filled by companies that needs different type of skills, soft skills and hard skills.
Leandro Barreto:
And here, the keyword is to serve. So, I will give a personal example. For example, one of the things that I missed most when I was a young teenager was having someone who could help me to explore the technology so I can get a job. So, it was in the early 2000 and it was quite hard.
Robert O’Farrell:
Yes, very much so.
Leandro Barreto:
The internet is starting, everything is new.
Robert O’Farrell:
People on dial-up, internet was slow.
Leandro Barreto:
Do you remember that sound like prshh?
Robert O’Farrell:
Oh, yeah. It comes to me in my dreams I think. I heard it so many times in that era.
Leandro Barreto:
My family and my friends, they wasn't in the IT field. So, there is no one to help me that. So, I had to learn it by myself. Seems impossible. But it took me time to learn it and enter in a company with a good position let's say that gives me money and the possibility to learn much more faster. So, since 2013, I dedicate part of my time to teach young people, acting as a mentor to help them enter in this market so they can learn new skills. I can open paths for them, put in contact with the right people, people which is going to be important for them, and all aiming to accelerate their dev development and giving them the opportunity.
Leandro Barreto:
And this for me is very meaningful because I'm helping those who don't have any references also, and sometimes don't have a chance. And the more I serve them, the more I earn and I grow with them. So, I came across like when I was introduced to Ikigai for example, another personal example.
Robert O’Farrell:
Sorry. Before we get to that, just reiterating. So, the four components, so there's something that you really lose time in doing, something that you get into the flow of doing very easily. And then, the second component is the thing that you are very confident in doing, something that you do quite well. The third one, being something that pays you well, and the fourth one, being something where there's a need for it. So, just reiterating that. That's correct?
Leandro Barreto:
Correct. Correct.
Robert O’Farrell:
So, I guess getting to that, our second question that like for yourself, you can apply obviously in a business sense, but in a personal sense, what's been your journey there, and do you believe you've achieved Ikigai, I guess, would be my next question?
Leandro Barreto:
Yeah. Well, actually personally, I have some things that's very clear in my life. I'm still not there, but let's say that I'm in the process.
Robert O’Farrell:
Work in progress
Leandro Barreto:
Exactly. Work in progress. So, I have clear goals and I have clear in my mind where I want to go in a few years, so I don't get disencouraged if the weather is cold or warm, if the stock market goes up or down. And the only thing that I focus is to be 1% better than I was yesterday. And this provides me a security that prevents me to wasting time and things that doesn't make any sense or simply doesn't matter for me in the future. So, I take my career very, and also my personal life very serious on that point. So, yeah, let's say that work in progress.
Robert O’Farrell:
I love that word security that you use there. It draws a parallel, I think, to a word that we also use when it comes to that plan that we have, which is that focus element, making sure that we do the things that matter. Do you think that it's also given you a sense of focus too on what you take on and what you say yes to and what you say no to with regards to your personal and professional development?
Leandro Barreto:
Yeah, absolutely. Absolutely. When you know where you want to go, it's more easy to say yes or no to something that came up to you. Another personal example that I remember was something like 12 years ago, 12 to 13 years ago, my focus was to learn Java, for example, Java programming. Because I know in the midterm, I would like to be a Java architect. So, I have to improve my skills on that programming language.
Leandro Barreto:
So, during that time, the company that I was working was making some changes and then they asked me, "Hey, I know you are good at Java. You are learning, but we need you to start learning this another language, Ruby on Rails during that time. But you have to at least for the moment, forget Java." And then, I was like, "Mm-mm. No, no."
Robert O’Farrell:
It's not what I want to do.
Leandro Barreto:
Exactly. I totally understand that was a company's decision. But during that point, it begins to separate my focus on what I want to achieve from the company's purpose. So, it doesn't make any sense to continue on that company. I asked to leave. And again, best decision ever, because then I entered in another company that I learned so much. And then, in three years I became a Java architect.
Robert O’Farrell:
Yeah. That's a fantastic example of that focus. I'm quite curious out of those four components that you mentioned before, what have you found quite easy, I guess, to achieve or to at least get clarity around personally? And what have you found more challenging?
Leandro Barreto:
Good question. Good question. Yeah. So, learning something that you don't know, it's always a challenge but when you have a desire or a clear focus where you want to go in a few years, things start to be clarified for you. For example, in 2014, I did extension of my MBA in United States to learn about entrepreneurship and things that for me was really, really important. But totally new field, I have no idea what to expect but it provides me the vision to... I always had the idea to have my own company in other words. So, I know that in short term, not in short term, but in midterm at least five years to four years, during that period of time, I would like to have my company.
Leandro Barreto:
So, after I did this MBA, I came back to Brazil, and then I started to put myself in situations that makes me learn these new things. And in 2016, I open up our restaurant in Brazil. So, when you have an objective, things, and it's quite funny because the universe starts to help you.
Robert O’Farrell:
You make your own luck in a lot of regards too, I think.
Leandro Barreto:
Yeah.
Robert O’Farrell:
So, if you had somebody who was looking to learn about Ikigai and came to you for some, for your experience and your advice in how to apply it to their lives, what do you think your advice to someone would be who doesn't know much about it?
Leandro Barreto:
Good question. Great question. So, one tip that I, or advice that I can give is, and I think that this is fantastic and I apply it in my daily basis. Don't waste time in small decisions on a daily basis because every day we have thousands of decisions to make and our brain capacity is limited daily, at least daily. So, there are some times that we feel like mentally exhausted after, for example, you have six meetings in a row in a day. In the end of the day, you were totally tired. Right? And I once read that the greatest minds don't waste time thinking on small things, for example, Steve Jobs always wore the same jeans and t-shirt every day. And he didn't need to think to use it. He just took it and reuse it.
Leandro Barreto:
So, during that time, what I did in 2018, more or less when I was presented to Ikigai. So, what I did, I lived alone in an apartment in Brazil. So, I decided to change it, my life. What I did, I donated my entire wardrobe of clothes with things that I almost never used. And I was only wear eight t-shirts and two jeans.
Robert O’Farrell:
Quite a collection.
Leandro Barreto:
So, I avoid making those small decisions, especially in the morning, because in the morning, you have a clear mind and you don't have to spend those in small things, because if you think on small things, probably it'll grow during the day. So, for example, another thing that helped me a lot is plan the week. So, Google Calendar exists to be used, right?
Robert O’Farrell:
Yeah. Yes.
Leandro Barreto:
So, everything that is very important for you, events or plans that need to be done, put on the calendar. And also, talking about the clothes, separate your clothes a day earlier before you go into bed. So, you wake up more calmly, you drink your coffee calmly, and you focus your efforts on what really matters. And once you have freed your mind from thinking about these small things, you can focus your time and energy on learning new things or getting things done the way it should be. And whether it's learning a new language or a new skill, or you can also read a book in the morning because you have free time, let's say. You can focus on what matters to you exactly.
Robert O’Farrell:
Yeah. I'm quite curious about this aspect of finding something that you really get consumed by. And I think in this digital age, we have so many things that distract us. Our phone has a lot of notifications where we have a lot of information at our beck and call and sometimes it can be overwhelming to know what we should focus on, and I guess what we can really get passionate about. I'm curious, do you have any insight into that as to how people can find that thing that they just lose themselves in and that they're super passionate about?
Leandro Barreto:
Yeah, absolutely. Absolutely. Another thing that worked very well for me is to turn off all the notifications.
Robert O’Farrell:
Get a dumb phone just so you don't have that level of notifications coming through. Yeah.
Leandro Barreto:
Yeah. Because I read... I don't remember where exactly, but your brain took something like 15 minutes to focus on something. So, if you don't spend 15 minutes of your time, focus on what needs to be done. You cannot focus at all. So, what I usually do, I turn off all of the notifications from my phone. So, the principal one, I just took it off and I don't care about notifications. Also, one thing that I noticed is that when I, for example, when I had Apple Watch. In the Apple Watch, even if you turn the notifications on or off, the iPhone, it keeps doing on the phone. Oh, my God. So, this is one simple device that I can say, because otherwise, you will enter in a black hole in a community and social media and news, and then you'll lose yourself.
Robert O’Farrell:
Yeah. I found that personally with the Apple Watch, having something on your wrist that vibrates is incredibly distracting. And I was always very big champion of technology, but that was one area where I just moved away from it, went back to a mechanical watch, just didn't want that level of interruption when I was trying to focus on things. So, I think it's a really key insight to focus.
Leandro Barreto:
Yeah. In addition to that, when you, for example, when you are in a meeting with someone and you are actually expecting a message for, I don't know, maybe your family, and then it pops up on your phone and you are in a meeting, and then you take a look into the watch and the people notice that you are not paying attention because you are looking into watch. No matter why you are looking, if it's a message or et cetera, you do provide a psychology... How can I say that in English? Oh, my God. Psychology interference. Let's say it.
Robert O’Farrell:
Yep. Psychological interference.
Leandro Barreto:
Interference. Yeah. Thank you. That will provide a negative influence to other people. So, yeah, that's why you made the right choice to move into the-
Robert O’Farrell:
Yeah. I've heard some people that will actually ask people to leave their phones outside when they go into meetings or leave their laptop outside so that you're present and that you are engaged in the conversation. Because I think even the mere fact that you have your phone near you is a distraction. Even if there's no notifications, its presence is enough to ensure that you're not 100% present in the conversation, which I think is quite interesting from how we focus and our dependency on that rush that we get or that endorphin rush of getting that ping on the phone or that notification.
Leandro Barreto:
Exactly.
Robert O’Farrell:
I thought we could move on to talk about objective and key results. Or for those people that may not have come across this term before, OKRs are collaborative goal-setting methodology and used by teams and individuals to set challenging and ambitious goals with measurable results. So, to break that down further, the objective part of the OKR is simply what is to be achieved and the KR part of it, which is key results, benchmark and monitor how we get to the objective. So, getting to the heart of setting successful OKR is establishing it clear and compelling why. Is there a secret formula to creating a powerful why to get everyone on board?
Leandro Barreto:
Yeah. Great question. So, OKRs, it's all about action and execution. And I think the secret formula, let's say it's having a well-defined proposal and also everyone engaged in seeking the result as the main objective. So, companies in my opinion are made of living ecosystem called human beings. And every human being has its own desires, proposals, goals. And en suite, unite all of the objectives of both the companies and all the people together. That's when we can achieve best results. And that's why some companies are focused on the cultural fit.
Leandro Barreto:
And this is one thing that I see growing a lot in the HR area, companies and persons that must, which the cultural fit must match. It basically means that the person has the same values and desires to achieve results as most of the people in the company or what the company understand as their force that they need to keep growing as a company. And I have seen many technically good people failing in selection, in process selection, simply because they don't adhere to cultural fit. And this is much more than a psychological issue because you don't know how to say like people that cannot work as a group.
Leandro Barreto:
So, it's better for the company to hire someone who can play as a team instead of someone who is like the lonely wolf that keeps working alone. And the results is for only him and not for the entire company. So, yeah, this is the classic example that I can see. And also, one thing that is good for that is nowadays, our fault tolerance is quite good because today at least serious companies don't punish failures. So, they even encourage you to learn.
Leandro Barreto:
And the Spotify models, I remember they say like, "Fail fast and learn fast." So, that was the fail wall was born. So, where everyone shared their failures and they can learn as a team, as a clan, guild. And this is quite beautiful because you can create such an environment where everyone can learn and grow together because humans can fail. And this is normal.
Robert O’Farrell:
Do you think that-
Leandro Barreto:
And-
Robert O’Farrell:
Sorry, I'm just curious. Do you think that companies are more focused around the why these days, or that why has become more important in their measure of success? And you mentioned cultural fit and I love this idea that more companies are much more sensitive to what is their company culture and how does this person work within, or are they going to fit into this company culture? Because the existing people in that company are aligned around their why. And if someone is coming in and doesn't align with that, they understand the impact on their success. So, do you think that company's becoming more and more aware of this and more sensitive to this?
Leandro Barreto:
Yes. I think they are. So, as far as they have the right people in the right environment with the right proposal, no matter the why they will find it blindly, let's say. I think it's like a sense of behavior for the people. Because if you see someone from, as your peer, let's say, that's running to an objective that was defined by the company. And you are aligned with your values and goals. You will follow it.
Leandro Barreto:
So, this is good for both persons as human beings and also for the company because they show the proposal, they show what is the why we must be, for example, the first selling company for our product in the market, why, and then people who is working on it, they will take it as a personal objective. And this is when you make the connection between the company's objective and the people's objective because when the company grows with this why, with this north star, the people will grow together with you.
Robert O’Farrell:
I completely agree. I'm quite curious too from the opposite point of view. Do you think that employees are becoming more aware of understanding the company's why before they join the company? Because we've seen with the pandemic that a lot of companies are now moving to this remote recruitment. And so, the possibilities for employees to work for a much broader range of companies now have increased. And do you think that employees are now finding better wire alignment when they're looking for new jobs because they do have a broader pool to play in per se?
Leandro Barreto:
Absolutely. Absolutely. I think that's why Glassdoor is so popular. So, when you are invited for a meeting or for an interview, you can see everything from the company. Like from salary to feedbacks from the people who works there or is not working anymore. And then, you can see if there's a match. And this is quite funny because like 10 years ago, which is not so popular, we are blindly thinking to work, let's say, in a position like software development. So, I have to be a software developer. I have to be a...
Leandro Barreto:
So, it was more focused on the position instead of the purpose. And now we are seeing the opposite. Now, the people are looking for the purpose, what the company can help me achieve. And it's more like a win-win-
Robert O’Farrell:
Situation.
Leandro Barreto:
... situation let's say, situation. Exactly.
Robert O’Farrell:
Yeah, I couldn't agree more. And I think also a lot of people are really focused on how the company takes care of them as a person. They're very sensitive to the fact that they are committing their time to that company. So, there has to be that alignment around professional goals and personal goals. And I think that it's a great shift to see, to come back to the OKR side of things. I'm curious about what benefits do setting OKRs within an organization give or provide?
Leandro Barreto:
Yeah. I think OKRs, they are very, very simple. They do not require a specific knowledge to implement it. So, when you have the people committed and engaged to the goal and the why they want to achieve, then the implementation and using of OKRs became naturally. So, company can benefit because he's straight to the point. He's like, "Objective, it's the direction. And the key results are yes or no." So, keep it simple. That's the main benefit of the companies.
Robert O’Farrell:
Yeah. I love that. The fact that there's no gray area. You either succeed or you don't, and there's a lot of clarity around that as well.
Leandro Barreto:
Exactly.
Robert O’Farrell:
I think that with that aspect of OKRs, in your experience, have you seen OKRs set that tend to stretch the team further than they normally would be stretched in terms of what they attempt to achieve than companies that don't set OKRs from your experience?
Leandro Barreto:
Yes, but I think it matters on what the company, what's the culture of the company, because I have seen companies that is setting OKRS in the good way, but I have seen companies that is setting OKRS because it's fancy. When it's fancy, you don't have a clear objective. You don't have a clear vision. You don't have the right people. And then, it's very tricky and you will never achieve what you are proposing.
Robert O’Farrell:
I'm curious to dig into that a bit more to get your insight on that. Because as somebody who would come into a company that might be setting OKRs, how would you determine that the OKRs are probably not as clearly defined or that they're implementing a process that don't necessarily have the depth or the belief in doing? So, how would somebody come in and determine that?
Leandro Barreto:
Good question. Good question. So, the idea to have a objective is like to have something that can be... How can I say that, can provide you like a, not a fear, but it's going to be like, provides you a direction for, but the people who sees it, they think like, "Hey, this is quite hard to achieve I think." So, one example for Google, for example. So, Google in 2008, they tend to launch the Google Chrome. And as I remember, the first year was like, "Hey, this is the objective." Like, "Hey, we want to launch the best browser in the world." And the key result is the number of users because the users will tell you if the browser is good or not.
Leandro Barreto:
In the first year, they didn't achieve the key result. But the second year, they rise at the bar again, like, "Hey, now we are much than double the objective." And the second year, they still didn't achieve it. But it was very, very close to it. And the third year, they pass it. So, keep in mind that the objectives must be something that seems like a challenge, a huge challenge, but at the same time, it's very inspirational.
Robert O’Farrell:
Inspirational.
Leandro Barreto:
Inspirational. Thank you so much. For those who are working on it. So, I think this is most of the point.
Robert O’Farrell:
Yes. And what do you see as some of the pitfalls when setting OKRs for an organization?
Leandro Barreto:
Awesome. Awesome. So, the pitfalls from my perspective, there are some common mistakes when implementing OKR. So, for example, as I said, not having a clear vision of the goal, so people cannot engage. And especially when you have senior engineers because they don't want to work in something that don't bring purpose for them. Right? So, this is the first one, for example. The second one could be like a system that supports the monitoring of the results. So, you cannot follow up, which is quite important to keep following it if you are, we are close to achieve it. Yes or no? So, a good point.
Leandro Barreto:
And one thing that seems quite strange, but it's very, very common in the market is that your product is not finished yet. One personal example that I faced not quite recently, but do you play video games?
Robert O’Farrell:
When I get the time. I have two young boys, so I get very little time to do that these days. But yeah, I do.
Leandro Barreto:
Yeah. I love doing, I don't have also time, but when I have a litle bit of time, I can spend. So, this little time I try to spend in the best game that I found in the market. And here is the point because some years ago, there was a game that was released and before released, there was several gaming platforms, new sites, and et cetera, that was telling us that, "Here is the game challen... no, the game changing for the gaming market, because it's going to be very good. The marketing for this game was really, really good. And the game was like highest expectations for that. It was always in the top. "Hey, you have to play this because it's going to be very great. You are going to be having a great experience on that."
Leandro Barreto:
And the funny thing is that after they launch it, a few hours later, I notice some YouTubers who start testing the game. They began to post videos about so much bugs that they are facing. And within a week, the game had to stop selling because that was a disaster.
Robert O’Farrell:
Yeah.
Leandro Barreto:
And... Yeah.
Robert O’Farrell:
I was just going to say, I can think of a few games that come to mind that fit that criteria.
Leandro Barreto:
Yeah. Probably we are thinking the same, but I can say it, so.
Robert O’Farrell:
Yeah. Yeah. Do you find that people get OKRs and KPIs confused within an organization? Or have you ever come across any examples of that, where people misunderstand the purpose of between the two of them?
Leandro Barreto:
Yes. One thing that came up to my mind is the key result is a simple measure to understand if you are going in the right direction to your objective or not, but KPIs is it's more a performance index for performing for your team. For example, if they are performing in a good way, if we have the right resources for delivering something. And so, I think this is mainly the difference is the KPI, it's a measure for you to, maybe to bonus, to create a bonus for your team or et cetera. And the KR must be not linked to bonus or salary, et cetera. Must be like a direction. Something that, yes, we are achieving it or not. Or if not, what we have to do to correct the direction.
Robert O’Farrell:
Yeah. Fantastic. So, coming around to Agile, I'm curious about this marrying of the two, of OKRs and Agile together. How can we combine Agile and OKRs in your experience and your understanding to achieve results that drive high performance?
Leandro Barreto:
Awesome. So, as the Agile manifesto says, "People over process," so I believe whenever you maintain a fail-safe environment along with a good leadership, you can get the most of your team. So, connecting what I said earlier regarding the Ikigai and when you have a good leader, for example, in a safe environment and colleagues or peers who shares the same values and goals as you, then you can extract maximum efficiency because high-efficiency teams are teams that are focused and committed with the company results, and that will achieve great business results. Sorry.
Robert O’Farrell:
I also love that aspect with the OKRs, with that clear definition, too, that Agile, that processes is that sprint by sprint activity where you're going back and you're looping around and looking at the results of that sprint and going back to the customer and getting customer feedback and that real alignment around what you're trying to achieve as well, to give you that clarity of focus that when you are going through that sprint process, you're coming back and saying, "Okay, are we acting on the initiatives that have come out of these key results that contribute to that OKR?"
Leandro Barreto:
Exactly. And also, adding to that, that's why we have the goal for the sprint, right? So, we have the direction for the sprint. So, every sprint you can measure if you are achieving this goal or not.
Robert O’Farrell:
And I love it as a mechanism, too, to link back to that, that why piece to really give a clarity around why, which I think a lot of software development sometimes doesn't focus as much as they can on. So, I'm curious, so how can Ikigai mix into this? So, we've talked about that at the start and we talked about the components of it and it was a great framework about understanding a purpose, but how can we use that to achieve better results and stay motivated as a team?
Leandro Barreto:
Great question and also quite difficult. But yeah, I believe there are two thin lines that eventually met in the future. For example, the first one is like the individual as a person. So, how he seems himself in, within the organization and how can benefit, how this relationship can benefit from this win-win relationship. And also, the second one is like the individual as a professional. So, based on the skills that he already has. How can he help the company achieve the results more efficiently?
Leandro Barreto:
So, in a given timeline, these two lines will cross and then you will be able to extract excellent results because you will have a person with excellent internal knowledge, internal as a person, and also engaged with the companies is seeking as a greater objective, as a north star, and also helping your peers to grow all together.
Leandro Barreto:
And I think this is quite like a smile. When you smile at someone unconsciously, you make the other people smile too. So, when you have someone who is genuinely working with a proposal, that person will contaminate other in a good way. And then, you have a continuous string of people delivering consistent results. And I think this is the most important.
Robert O’Farrell:
Have you experienced that yourself where you see someone working with purpose and contaminate or infect how you... infect is again, not a great word, but inspired is probably the best word there, inspired the people around them to work in a similar fashion. Has that something that you've witnessed yourself?
Leandro Barreto:
Yes, yes. I remember back in the company that I was working in Brazil, that was my first day. I was like, "Hmm, there's something strange here," because everyone is so passionate on delivering their best results for their customer, that this thought influenced me in a positive way to start being like hungry for good results, not only for the company but for me as an individual, as someone who have to learn and teach others. And nowadays, I see these companies, it's achieving a great results with a great leader because even if we have a good team, we have to get someone who is a servant leader, who you can follow and maybe follow blindly in a good way. But yeah, I experience it.
Robert O’Farrell:
That's fantastic. But I'm interested, is there anything that you wanted to talk about personally with regards to either of those three topics or even outside of that, that has been inspirational, I think, in your professional development, in your personal life?
Leandro Barreto:
Yeah, absolutely. Absolutely. I think Leandro five years ago was totally different person. And when I started looking, not only by myself inside me, but also outside and the opportunities that the world can give me and how can I serve back this, or how can I provide this back to the world? This is very funny because good things start to happen. For example, I never imagined to be working here in Amsterdam. And now, I'm here in Amsterdam, working in a great company with great people, delivering such great results, which is giving me a lot of knowledge to keep learning and keep the wheel turning on, keep the cycle.
Leandro Barreto:
And I think today, like performing the best Leandro's version ever, maybe tomorrow, a little bit more, and I can provide this knowledge to other person and I can also learn from other persons, from other people. And that's very exciting. I think that's what motivates me to wake up in the morning, do my sport things like running and jujitsu, and then let's do the work.
Robert O’Farrell:
That's fantastic. I love that, that reflection on the past five years, how far you've come. It sounds like you've had a lot of inspiration from a number of different sources, but is there something in there that you think was key to that? Or was it just a general progression over that time?
Leandro Barreto:
Yeah. Yeah. Actually, I tried to focus on people who have positive influence on others. So, I try to be more not equal because if you are equal, so you are the same person, so it doesn't provide value to the others, but try to be quite different in your own way. So, yeah, basically, that's what motivates me to get different sources of references and trying to be the best version of myself.
Robert O’Farrell:
That's fantastic. I love this mix of the philosophical, which is for me, the Ikigai, and the concrete, well, not concrete, but the workflow aspect of the Agile side of things coming together. Have you traditionally worked in Agile methodologies or did you transition between that may be starting, because if you're from the 2000s, so you probably touched on Waterfall at some point in the past and then came into Agile. Was that your professional progression over that time?
Leandro Barreto:
Yeah. Yeah. Actually, I worked a lot with the Waterfall methodology in 2008, when I was introduced to the Agile methodology with Scrum... no, actually 2009, then I saw. "Hey, this is very, very interesting." Let's learn more about it. And then, during this time, I keep working both with the Waterfall methodology and the Agile methodology. And the more I work it with the Waterfall, the more value I saw in the [inaudible 00:54:24]-
Robert O’Farrell:
In Agile. Yeah.
Leandro Barreto:
Yeah. And that was quite fantastic because then I also learn about SAFe and how to scale it, and yeah.
Robert O’Farrell:
I'm quite curious, like because we had a similar path in that regard and I reflect on where we are with OKRs and Agile, and it's interesting that Agile brought us closer to our customer and we speak to our customer on a more regular basis, which I thought was a massive win over Waterfall where you might have months and months of development, and you've got a requirement that you're trying to put into code, and then suddenly, you have this big delivery and that's when you talk to the customer. And usually, the customer comes back and says, "We want all these things changed." And it's a real pain.
Robert O’Farrell:
Agile was instrumental in that, but then going up from there and putting that layer of why on top of that, which I think is, again, one of those big fundamental shifts on how we focus on what we are doing. Do you see anything emerging from your experience, your professional experience that is tackling another key challenge with regards to, I guess, how we work and how we deliver value?
Leandro Barreto:
Yes. And for example, the customer, they want to see value on what is going to be delivered. They don't want to spend six months to wait something to be delivered. So, I think that's why cloud start being so popular, like SaaS companies, because when you are working on something that is on cloud, for example, you always have the last version. And no matter the day or the hour of the day, there will come new features. And usually, it's transparent for you. And internally from the engineering perspective, the more you deliver, the more quickly you can correct and the more you can understand the market.
Leandro Barreto:
And also, that's why some strategies, some release strategies came up so popular like Canary release. So, you deliver a few things to a particular person, and then you can test it. And if they provides you good or bad feedback, you have time to correct it. So, that's why it became so popular. So, I think during this time from now on, we must see a lot of SaaS companies starting to growing because things are in real life now, real time now, so I think it's natural.
Leandro Barreto:
By the way, there's a good strategy that was implemented by Spot 5 if I'm not mistaken that was like, but this is more for engineering perspective. They have some robots that keeps doing bad things to the servers.
Robert O’Farrell:
Oh, that's the Chaos Monkey.
Leandro Barreto:
The Chaos Monkey.
Robert O’Farrell:
That was Netflix. Yeah. Yeah.
Leandro Barreto:
Netflix, yeah.
Robert O’Farrell:
Netflix. And it would take down bits of their infrastructure and break things. Yeah, yeah.
Leandro Barreto:
Exactly. It's quite hard to see in some companies, but I think this has become to be more popular during the next couple of months or years, because it will teach the engineers how to deal with that because no one wants to stay working in the weekend. You stay with your family.
Robert O’Farrell:
Yeah. I completely agree. I remember when I first heard about the idea of the Chaos Monkey, that it shocked me that someone would inflict that upon their business and upon, I guess, their systems, but then it only takes a production incident to realize that if you had something like that, that you would've built in some provision should that eventuate. And I think that there's a lot of wisdom to it. And so, I absolutely love the idea. I love this, what you were saying about real-time delivery of value to customers.
Robert O’Farrell:
And I think back to how Agile has really been fundamental in pioneering that, well, not pioneering it per se, but with the release cadence that you get from one to two-week sprints, you're putting yourself in a position where you are delivering more often. And you mentioned Canary deploys, I think within that. Is there any other deployment strategies that you've come across that also support, I guess, that immediate delivery of value to customers?
Leandro Barreto:
Yes. There is another strategy which is called the Blue-Green release, but the difference between it is like the Canary release, you deliver something in the small portions, but the Blue-Green, you, like a switch that you turn on and off.
Robert O’Farrell:
Yes. Yes. Right.
Leandro Barreto:
Yeah, you can test it. You can deliver new version of your environment or your tool, and then everyone can use it. And if something goes failed, then you have the plan B, where you can just turn on and off, and then you can rearrange the traffic to your tool. But this is very technical.
Robert O’Farrell:
Yeah. Very interesting to me, but we might lose a few of our podcast listeners. One last question from me, just within your current professional engagement, were they implementing OKRs before you joined the company? Or was that something that you've seen introduced over that period of time?
Leandro Barreto:
From my current company, they are currently working with OKRs, so I didn't participate and implemented it. So, I'm just more focused on helping the teams in implementing the KRs. There were some companies that I worked in the PEs that I helped to build it, and also to build not only the objective but also the KRs. And the objective, it's you spend so much time because you have to understand where the company wants to be in the future.
Leandro Barreto:
So, you have to know inside what we have, what we can improve, where we can improve, and then we can base it on that, base it on the objective. We can build up to four key results to be more precise in achieving this. Yeah. But it's quite challenging, but at the same time, very exciting.
Robert O’Farrell:
I think that was going to be my question in your experience in seeing a company go from not doing that to then implementing it, what were the real challenges in doing that? And how long did you see that process take before they really got good at doing that? Because it is not only setting the meaningful objectives and obviously measurable key results but also then getting the alignment from the teams around that. What were the big challenges there and how long did you see that process take?
Leandro Barreto:
Yeah. I think it depends from company to company. I remember back in Brazil, I had to work with companies that spent months on deciding, but at the same time, I remember my own company took three months to start implementing it. So, I think it depends on the commitment of the people who is responsible for this objective. So, yeah, depends on the maturity also of the company, the people who is working, and yeah. Because the OKRs are quite old, but at the same time are quite new for people, for the companies. Right? So, this is like very challenging. And how do you balance it?
Leandro Barreto:
There are some people who doesn't know how to set the correct objective. And then, we came up with the same thing that we are discussing earlier. Like if you don't know where you're going to go, if the objective is not clear enough, no matter if you have good people or bad people, the people will not see value on that.
Robert O’Farrell:
Yeah. And you won't get your alignment because people don't either understand or don't believe in the objective.
Leandro Barreto:
Exactly.
Robert O’Farrell:
That's fantastic insight, Leandro. And I really appreciate your time today. Again, is there anything that you'd like to chat about before we wrap it up? I'm just conscious that we have been chatting for about an hour now and gone off script a little bit too.
Leandro Barreto:
Yeah, absolutely. Absolutely. No, actually I'd like to thank you, Rob. Thank you, Agile team, everyone. I don't want to spend much time talking also. It was a pleasure and thanks for invite again. And I hope we can think good things in the future. Like, "Hey, I hope I can provide good insights on this."
Robert O’Farrell:
That's fantastic. You certainly have. I've learned a fair bit today as well. So, I'll be going back to revisit some of the talking points from this chat. So, thank you very much again for your time, Leandro. I really appreciate it. And, yes, have a great day. It's kicking off for you and it's ending for us. So, yeah, really appreciate it, mate.
Leandro Barreto:
Thank you. Thank you. I really appreciate it too. Thanks again. See you. Have a great day.
Robert O’Farrell:
You too. Cheers.
Leandro Barreto:
Cheers.
- Podcast
Easy Agile Podcast Ep.12 Observations on Observability
On this episode of The Easy Agile Podcast, tune in to hear developers Angad, Jared, Jess and Jordan, as they share their thoughts on observability.
Wollongong has a thriving and supportive tech community and in this episode we have brought together some of our locally based Developers from Siligong Valley for a round table chat on all things observability.
💥 What is observability?
💥 How can you improve observability?
💥 What's the end goal?
"This was a great episode to be a part of! Jess and Jordan shared some really interesting points on the newest tech buzzword - observability""
Be sure to subscribe, enjoy the episode 🎧
Transcript
Jared Kells:
Welcome everybody to the Easy Agile podcast. My name's Jared Kells, and I'm a developer here at Easy Agile. Before we begin, Easy Agile would like to acknowledge the traditional custodians of the land from which we broadcast today, the Wodiwodi people of the Dharawal nation, and pay our respects to elders past, present and emerging, and extend that same respect to any aboriginal people listening with us today.
Jared Kells:
So today's podcast is a bit of a technical one. It says on my run sheet here that we're here to talk about some hot topics for engineers in the IT sector. How exciting that we've got a couple of primarily front end engineers and Angad and I are going to share some front end technical stuff and Jess and Jordan are going to be talking a bit about observability. So we'll start by introductions. So I'll pass it over to Jess.
Jess Belliveau:
Cool. Thanks Jared. Thanks for having me one as well. So yeah, my name's Jess Belliveau. I work for Apptio as an infrastructure engineer. Yeah, Jordan?
Jordan Simonovski:
I'm Jordan Simonovski. I work as a systems engineer in the observability team at Atlassian. I'm a bit of a jack of all trades, tech wise. But yeah, working on building out some pretty beefy systems to handle all of our data at Atlassian at the moment. So, that's fun.
Angad Sethi:
Hello everyone. I'm Angad. I'm working for Easy Agile as a software dev. Nothing fancy like you guys.
Jared Kells:
Nothing fancy!
Jess Belliveau:
Don't sell yourself short.
Jared Kells:
Yeah, I'll say. Yeah, so my name's Jared, and yeah, senior developer at Easy Agile, working on our apps. So mainly, I work on programs and road maps. And yeah, they're front end JavaScript heavy apps. So that's where our experience is. I've heard about this thing called observability, which I think is just logs and stuff, right?
Jess Belliveau:
Yeah, yeah. That's it, we'll wrap up!
Jared Kells:
Podcast over! Tell us about observability.
Jess Belliveau:
Yeah okay, I'll, yeah. Well, I thought first I'd do a little thing of why observability, why we talk about this and sort of for people listening, how we got here. We had a little chat before we started recording to try and feel out something that might interest a broader audience that maybe people don't know a lot about. And there's a lot of movements in the broad IT scope, I guess, that you could talk about. There's so many different things now that are just blowing up. Observability is something that's been a hot topic for a couple of years now. And it's something that's a core part of my job and Jordan's job as well. So it's something easy for us to talk about and it's something that you can give an introduction to without getting too technical. So we don't want to get down. This is something that you can go really deep into the weeds, so we picked it as something that hopefully we can explain to you both at a level that might interest the people at home listening as well.
Jess Belliveau:
Jordan and I figured out these four bullet points that we wanted to cover, and maybe I can do the little overview of that, and then I can make Jordan cover the first bullet point, just throw him straight under the bus.
Jordan Simonovski:
Okay!
Jess Belliveau:
So we thought we'd try and describe to you, first of all, what is observability. Because that's a pretty, the term doesn't give you much of what it is. It gives you a little hint, but it'll be good to base line set what are we talking about when we say what is observability. And then why would a development team want observability? Why would a company want observability? Sort of high level, what sort of benefits you get out of it and who may need it, which is a big thing. You can get caught up in these industry hot buzz words and commit to stuff that you might not need, or that sort of stuff.
Jared Kells:
Yep.
Jordan Simonovski:
Yep.
Jess Belliveau:
We thought we'd talk about some easy wins that you get with observability. So some of the real basic stuff you can try and get, and what advantages you get from it. And then we just thought because we're no going to try and get too deep, we could just give a few pointers to some websites and some YouTube talks for further reading that people want to do, and go from there. So yeah, Jordan you want to-
Jared Kells:
Sounds good.
Jess Belliveau:
Yeah. I hopefully, hopefully. We'll see how this goes! And I guess if you guys have questions as well, that's something we should, if there's stuff that you think we don't cover or that you want to know more, ask away.
Jordan Simonovski:
I guess to start with observability, it's a topic I get really excited about, because as someone that's been involved in the dev ops and SRE space for so long, observability's come along and promises to close the loop or close a feedback loop on software delivery. And it feels like it's something we don't really have at the moment. And I get that observability maybe sounds new and shiny, but I think the term itself exists to maybe differentiate itself from what's currently out there. A lot of us working in tech know about monitoring and the loading and things like that. And I think they serve their own purpose and they're not in any way obsolete either. Things like traditional monitoring tools. But observability's come along as a way to understand, I think, the overwhelmingly complex systems that we're building at the moment. A lot of companies are probably moving towards some kind of complicated distributed systems architecture, microservices, other buzz words.
Jordan Simonovski:
But even for things like a traditional kind of monolith. Observability really serves to help us ask new questions from our systems. So the way it tends to get explained is monitoring exits for our known unknowns. With seniority comes the ability to predict, almost, in what way your systems will fail. So you'll know. The longer you're in the industry, you know this, like a Java server fails in x, y, z amount of ways, so we should probably monitor our JVM heap, or whatever it is.
Jared Kells:
I was going to say that!
Jordan Simonovski:
I'll try not to get too much into-
Jared Kells:
Runs out of memory!
Jordan Simonovski:
Yeah. So that's something that you're expecting to fail at some point. And that's something that you can consider a known unknown. But then, the promise of observability is that we should be shipping enough data to be able to ask new questions. So the way it tends to get talked about, you see, it's an unknown unknown of our system, that we want to find out about and ask new questions from. And that's where I think observability gets introduced, to answer these questions. Is that a good enough answer? You want me to go any further into detail about this stuff? I can talk all day about this.
Jared Kells:
Is it like a [crosstalk 00:08:05]. So just to repeat it back to you, see if I've understood. Is it kind of like if I've got a, traditionally with a Java app, I might log memories. It's because I know JVM's run out of memory and that's a thing that I monitor, but observability is more broad, like going almost over the top with what you monitor and log so that you can-
Jordan Simonovski:
Yeah. And I wouldn't necessarily say it's going over the top. I think it's maybe adding a bit more context to your data. So if any of you have worked with traces before, observability is very similar to the way traces work and just builds on top of the premise of traces, I guess. So you're creating these events, and these events are different transactions that could be happening in your applications, usually submitting some kind of request. And with that request, you can add a whole bunch of context to it. You can add which server this might be running on, which time zone. All of these additional and all the exciters. You can throw in user agency into there if you want to. The idea of observability is that you're not necessarily constrained by high cardinality data. High cardinality data being data sets that can change quite largely, in terms of the kinds of data they represent, or the combinations of data sets that you could have.
Jordan Simonovski:
So if you want shipping metrics on something, on a per user basis and you want to look at how different users are affected by things, that would be considered a high cardinality metric. And a lot of the time it's not something that traditional monitoring companies or metric providers can really give you as a service. That's where you'll start paying insanely huge bills on things like Datadog or whatever it is, because they're now being considered new metrics. Whereas observability, we try and store our data and query it in a way that we can store pretty vast data sets and say, "Cool. We have errors coming from these kinds of users." And you can start to build up correlations on certain things there. You can find out that users from a particular time zone or a particular device would only be experiencing that error. And from there, you can start building up, I think, better ways of understanding how a particular change might have broken things. Or some particular edge cases that you otherwise couldn't pick up on with something like CPU or memory monitoring.
Angad Sethi:
Would it be fair to say-
Jared Kells:
Yeah. It's [crosstalk 00:11:02].
Angad Sethi:
Oh, sorry Jared.
Jared Kells:
No you can-
Angad Sethi:
Would it be fair to say that, so, observability is basically a set of principles or a way to find the unknown unknowns?
Jordan Simonovski:
Yeah.
Angad Sethi:
Oh.
Jess Belliveau:
And better equip you to find, one of the things I find is a lot of people think, you get caught up in thinking observability is a thing that you can deploy and have and tick a box, but I like your choice of word of it being a set of principles or best practices. It's sort of giving you some guidance around these, having good logging coming out of your application. So structured logs. So you're always getting the same log format that you can look at. Tracing, which Jordan talked a little bit about. So giving you that ability to follow how a user is interacting with all the different microservices and possibly seeing where things are going wrong, and metrics as well. So the good thing with metrics is we're turning things a bit around and trying to make an application, instead of doing, and I don't want to get too technical, black box monitoring, where we're on the outside, trying to peer in with probes and checks like that. But the idea with metrics is the application is actually emitting these metrics to inform us what state it is in, thereby making it more observable.
Jess Belliveau:
Yeah, I like your choice of words there, Angad, that it's like these practices, this sort of guide of where to go, which probably leads into this next point of why would a team want to implement it. If you want to start again, Jordan?
Jordan Simonovski:
Yeah, I can start. And I'll give you a bit more time to speak as well, Jess in this one. I won't rant as much.
Jess Belliveau:
Oh, I didn't sign up for that!
Jordan Simonovski:
I think why teams would want it is because, it really depends on your organization and, I guess, the size of the teams you're working in. Most of the time, I would probably say you don't want to build observability yourself in house. It is something that you can, observability capabilities themselves, you won't achieve it just by buying a thing, like you can't buy dev ops, you can't buy Agile, you can't buy observability either.
Jared Kells:
Hang on, hang on. It says on my run sheet to promote Easy Agile, so that sounds like a good segue-
Jess Belliveau:
Unless you want to buy it. If you do want to buy Agile, the [crosstalk 00:13:55] in the marketplace.
Jared Kells:
Yeah, sorry, sorry, yeah! Go on.
Jordan Simonovski:
You can buy tools that make your life a lot easier, and there are a lot of things out there already which do stuff for people and do surface really interesting data that people might want to look at. I think there are a couple of start ups like LightStep and Honeycomb, which give you a really intuitive way of understanding your data in production. But why you would need this kind of stuff is that you want to know the state of your systems at any given point in time, and to build, I guess, good operational hygiene and good production excellence, I guess as Liz Fong-Jones would put it, is you need to be able to close that feedback loop. We have a whole bunch of tools already. So we have CICD systems in place. We have feature flags now, which help us, I guess, decouple deployments from releases. You can deploy code without actually releasing code, and you can actually give that power to your PM's now if you want to, with feature flags, which is great.
Jordan Simonovski:
But what you can also do now is completely close this loop, and as you're deploying an application, you can say, "I want to canary this deployment. I want to deploy this to 10% of my users, maybe users who are opted in for Beta releases or something of our application, and you can actually look at how that's performing before you release it to a wider audience. So it does make deployments a lot safer. It does give you a better understanding of how you're affecting users as well. And there are a whole bunch of tools that you can use to determine this stuff as well. So if you're looking at how a lot of companies are doing SRE at the moment, or understanding what reliable looks like for their applications, you have things like SLO's in place as well. And SLO's-
Jared Kells:
What's an SLO?
Jordan Simonovski:
They're all tied to user experiences. So you're saying, "Can my user perform this particular interaction?" And if you can effectively measure that and know how users are being affected by the changes you're making, you can easily make decisions around whether or not you continue shipping features or if you drop everything and work on reliability to make sure your users aren't affected. So it's this very user centric approach to doing things. I think in terms of closing the loop, observability gives us that data to say, "Yes, this is how users are being affected. This is how, I guess the 99th percentile of our users are fine, but we have 1% who are having adverse issues with our application." And you can really pinpoint stuff from there and say, "Cool. Users with this particular browser or this particular, or where we've deployed this app to," let's say if you have a global deployment of some kind, you've deployed to an island first, because you don't really care what happens to them. You can say, "Oh, we've actually broken stuff for them." And you can roll it back before you impact 100% of your users.
Jared Kells:
Yeah. I liked what you said about the test. I forgot the acronym, but actually testing the end user behavior. That's kind of exciting to me, because we have all these metrics that are a bit useless. They're cool, "Oh, it's using 1% CPU like it always is, now I don't really care," but can a user open up the app and drag an issue around? It's like-
Jess Belliveau:
Yeah, that's a really great example, right?
Jared Kells:
That's what I really care about.
Jess Belliveau:
The 1% CPU thing, you could look at a CPU usage graph and see a deployment, and the CPU usage doesn't change. Is everything healthy or not? You don't know, whereas if you're getting that deeper level info of the user interactions, you could be using 1% CPU to serve HTTP500 errors to the 80% of the customer base, sort of thing.
Angad Sethi:
How do you do that? The SLO's bit, how do you know a user can log in and drag an issue?
Jordan Simonovski:
Yeah. I think that would come with good instrumenting-
Angad Sethi:
Good question?
Jordan Simonovski:
Yeah, it comes down to actually keeping observability in mind when you are developing new features, the same way you would think about logging a particular thing in your code as you're writing, or writing test for your code, as you're writing code as well. You want to think about how you can instrument something and how you can understand how this particular feature is working in production. Because I think as a lot of Agile and dev ops principles are telling us now is that we do want our applications in production. And as developers, our responsibilities don't end when we deploy something. Our responsibility as a developer ends when we've provided value to the business. And you need a way of understanding that you're actually doing that. And that's where, I guess, you do nee do think about observability with a lot of this stuff, and actually measuring your success metrics. So if you do know that your application is successful if your user can log in and drag stuff around, then that's exactly what you want to measure.
Jared Kells:
I think that we have to build-
Jordan Simonovski:
Yeah?
Jared Kells:
Oh, sorry Jordan.
Jordan Simonovski:
No, you go.
Jared Kells:
I was just going to say we have to build our apps with integration testing in mind already. So doing browser based tests around new features. So it would be about building features with that and the same thing in mind but for testing and production.
Jess Belliveau:
Yeah and the actual how, the actual writing code part, there's this really great project, the open telemetry project, which provides all these sort of API's and SDK's that developers can consume, and it's vendor agnostic. So when you talk about the how, like, "How do I do this? How do I instrument things?" Or, "How do I emit metrics?" They provide all these helpful libraries and includes that you can have, because the last thing you want to do is have to roll this custom solution, because you're then just adding to your technical debt. You're trying to make things easier, but you're then relying on, "Well I need to keep Jared Kells employed, because he wrote our log in engine and no one else knows how it works.
Jess Belliveau:
And then the other thing that comes to mind with something like open telemetry as well, and we talked a bit about Datadog. So Datadog is a SaaS vendor that specializes in observability. And you would push your metrics and your logs and your traces to them and they give you a UI to display. If you choose something that's vendor agnostic, let's just use the example of Easy Agile. Let's say they start Datadog and then in six months time, we don't want to use Datadog anymore, we want to use SignalFx or whatever the Splunk one is now.
Jordan Simonovski:
I think NorthX.
Jess Belliveau:
Yeah. You can change your end point, push your same metrics and all that sort of stuff, maybe with a few little tweaks, but the idea is you don't want to tie in to a single thing.
Jordan Simonovski:
Your data structures remain the same.
Jess Belliveau:
Yeah. So that you could almost do it seamlessly without the developers knowing. There's even companies in the past that I think have pushed to multiple vendors. So you could be consuming vendor A and then you want to do a proof of concept with vendor B to see what the experience is like and you just push your data there as well.
Jared Kells:
Yeah. I think our coupling to Datadog will be I all the dashboards and stuff that we've made. It's not so much the data.
Jess Belliveau:
Yeah. That's sort of the big up sell, right. It's how you interact. That's where they want to get their hooks in, is making it easier for you to interpret that data and manipulate it to meet your needs and that sort of stuff.
Jordan Simonovski:
Observability suggests dashboards, right?
Jess Belliveau:
Yeah, perhaps. You used this term as well, Jordan, "production excellence." And when we talk about who needs observability, I was thinking a bit about that while you were talking. And for me, production excellence, or in Apptio we call it production readiness, operational readiness and that sort of stuff is like we want to deploy something to production like what sort of best practices do we want to have in place before we do that? And I think observability is a real great idea, because it's helping you in the future. You don't know what problems you're going to have down the line, but you're equipping your teams to be able to respond to those problems easily. Whereas, we've all probably been there, we've deployed code of production and we have no observability, we have a huge outage. What went wrong? Well, no one knows, but we know this is the fix, and it's hard to learn from that, or you have to learn from that I guess, and protect the user against future stuff, yeah.
Jess Belliveau:
When I think easy wins for observability, the first thing that really comes to mind is this whole idea of structured logging, which is really this idea that your application is you're logging, first of all. Quite important as a baseline starting point, but then you have a structured log format which lets you programmatically pass the logs as well. If you go back in time, maybe logging just looked like plain text with a line, with a timestamp, an error message. Whatever the developer decided to write to the standard out, or to the error file or something like that. Now I think there's a general move to having JSON, an actual formatted blob with that known structure so you can look into it. Tracing's probably not an easy win. That's a little bit harder. You can implement it with open telemetry and libraries and stuff. Requires a bit more understanding of your code base, I guess, and where you want tracing to fire, and that sort of stuff, parsing context through, things like that.
Jordan Simonovski:
I think Atlassian, when you probably just want to know that everything is okay. At a fairly superficial level. Maybe you just want to do some kind of up time on a trend. And then as, I guess, your code might get more complex or your product gets a bit more complex, you can start adding things in there. But I think actually knowing or surfacing the things you know might break. Those would probably be your quickest wins.
Jess Belliveau:
Well, let's mention some things for further reading. If you want to go get the whole picture of the whole, real observability started to get a lot of movement out of the Google SRE book from a few years ago. The Google SRE stuff covers the whole gamut of their soak reliability engineering practice, and observability is a portion of that, there's some great chapters on that. O'Reilly has an observability book, I think, just dedicated to observability now.
Jordan Simonovski:
I think that's still in early release, if people want to google chapters.
Jess Belliveau:
The open telemetry stuff, we'll drop a link to that I think that's really handy to know.
Angad Sethi:
From [inaudible 00:26:12], which is my perspective, as a developer, say I wanted to introduce cornflake use Datadog at Easy Agile. Not very familiar, I'm not very comfortable with it. I know how to navigate, but what's a quick way for me to get started on introducing observability? Sorry to lock my direct job or at my workplace.
Jordan Simonovski:
I would lean, I could be biased here. Jess correct me or give your opinion on this, I would lean heavily towards SLO's for this. And you can have a quick read in the SRE-
Jess Belliveau:
What does SLO stand for, Jordan?
Jordan Simonovski:
Okay, sorry. Buzz words! SLO is a service level objective, not to be confused with service level agreement. An agreement itself is contractual and you can pay people money if you do breach those. An SLO is something you set in your team and you have a target of reliability, because we are getting to the point where we understand that all systems at any point in time are in some kind of degraded state. And yeah, reliability isn't necessarily binary, it's not unreliable or reliable. Most of the time, it's mostly reliable and this gives us a better shared language, I guess. And you can have a read in the SRE handbook by Google, which is free online, which gives you a pretty good understanding of Datadog.
Jordan Simonovski:
I think the last time I used it had a SLO offering. But I think like I was mentioning earlier, you set an SLO on particular functionalities or features of your application. You're saying, "My user can do this 99% of the time," or whatever other reliability target you might want to set. I wouldn't recommend five nines of reliability. You'll probably burn yourself out trying to get there. And you have this target set for yourself. And you know exactly what you're measuring, you're measuring particular types of functionality. And you know when you do breach these, users are being affected. And that's where you can actually start thinking about observability. You can think about, "What other features are we implementing that we can start to measure?" Or, "What user facing things are we implementing that we can start to measure?"
Jordan Simonovski:
Other things you could probably look at are, I think they're all covered in the book anyway, data freshness in a way. You want to make sure the data users are being displayed is relatively fresh. You don't want them looking at stale data, so you can look at measuring things like that as well. But you can pretty much break it down into most functionalities of a website. It's no longer like a ping check, that you're just saying, "Yes, HTTP, okay. My application is fine." You're saying, "My users are actually being affected by things not working." And you can start measuring things from there. And that should give you a better understanding, or a better idea, at least, of where to start with what you want to measure and ow you want to measure it. That would be my opinion on where to get started with this if you do want to introduce it.
Jared Kells:
We're going to talk a little bit about state and how with some of these, like our very front end heavy applications that we're building, so the applications we build just basically run inside the browser and the traditional state as you would think about it, is just pulling a very simple API that writes some things into the database with some authentication, and that sort of stuff. So in terms of reliability of the services, it's really reliable. Those tiny API's just never have problems, because it's just so simple. And well, they've got plenty of monitoring around it. But all our state is actually, when you say, "Observe the state of the system," for the most part, that's state in a browser. And how do we get observability into that?
Jess Belliveau:
A big thing is really, there's not one thing fits all as well. When we talk about the SLO stuff as well, it's understanding what is important to not so much maybe your company but your team as well. If you're delivering this product, what's important to you specifically? So one SLO that might work for me at Apptio probably isn't going to work for Easy Agile. This is really pushing my knowledge, as well, of front end stuff, but when we say we want to observe the state as well, we don't necessarily mean specifically just the state. You could want to understand with each one of those API's when it's firing, what the request response time is for that API firing. So that might be an important metric. So you can start to see if one of those APIs is introducing latency, and so your user experience is degraded. Like, "Hey when we were on release three, when users were interacting with our service here, it would respond in this percentile latency. We've done a release and since then, now we're seeing it's now in this percentile. Have we degraded performance performance?" Users might not be complaining, but that could be something that the team then can look into, add to a sprint. Hey, I'm using Agile terms now. Watch out!
Jared Kells:
That's a really good example, Jess. Performance issues for us are typically not an API that's performing poorly. It's something in this very complicated front end application is not running in the same order as it used to, or there's some complex interaction we didn't think of, so it's requesting more data than expected. The APIs are returning. They're never slow, for the most part, but we have performance regressions that we may not know about without seeing them or investigating them. The observability is really at the individual user's browser level. That makes sense? I want to know how long did it take for this particular interaction to happen.
Jess Belliveau:
Yeah. I've never done that sort of side of things. As well, the other thing I guess, you could potentially be impacted in as well as then, you're dealing with end user manifestations as well. You could perceive-
Jared Kells:
Yeah sure.
Jess Belliveau:
... Greater performance on their laptop or something, or their ISP or that sort of stuff. It'd be really hard to make sure you're not getting noise from that sort of thing as well.
Jordan Simonovski:
Yeah. There are tools like Sentry, I guess, which do exist to give you a bit more of an understanding what's happening on your front end. The way Sentry tends to work with JavaScript, is you'll upload a minified map of your JS to Sentry, deploy your code and then if something does break or work in a fairly unexpected way, that tends to get surfaced with Sentry will tell you exactly which line this kind of stuff is happening on, and it's a really cool tool for that company stuff. I don't know if it'd give you the right type of insights, I think, in terms of performance or-
Jared Kells:
Yeah, we use a similar tool and it does work for crashes and that sort of thing. And on the observability front, we log actions like state mutations in side the front end, not the actual state change, but just labels that represent that you updated an issue summary or you clicked this button, that sort of thing, and we send those with our crash reports. And it's super helpful having that sort of observability. So I think I know what you guys are talking about. But I'm just [crosstalk 00:35:25], yeah.
Jess Belliveau:
Yeah, that's almost like, I guess, a form of tracing. For me and Jordan, when we talk about tracing, we might be thinking about 12 different microservices sitting in AWS that are all interacting, whereas you're more shifting that. That's sort of all stuff in the browser interacting and just having that history of this is what the user did and how they've ended up-
Jared Kells:
In that state.
Jess Belliveau:
In that state, yeah.
Jordan Simonovski:
I guess even if you don't have a lot of microservices, if you're talking about particular, like you're saying for the most part your API requests are fine but sometimes you have particularly large payloads-
Jared Kells:
We actually have to monitor, I don't know, maybe you can help with this, we actually should be monitoring maybe who we're integrating with. It's actually much more likely that we'll have a performance issue on a Xero API rather than... We don't see it, the browser sees it as well, which is-
Jordan Simonovski:
Yeah, and tracing does solve all of those regressions for you. Most tracing libraries, like if you're running Node apps or whatever on your backend. I can just tell you about Node, because I probably have the most experience writing Node stuff. You pretty much just drop in Didi trace, which is a Datadog library for tracing into your backend and your hook itself into all of, I think, the common libraries that you'll tend to work with, I think. Like if you're working for express or for a lot of just HADP libraries, as well as a few AWS services, it will kind of hook itself into that. And you can actually pinpoint. It will kind of show you on this pretty cool service map exactly which services you're interacting with and where you might be experiencing a regression. And I think traces do serve to surface that information, which is cool. So that could be something worth investigating.
Jess Belliveau:
It's funny. This is a little bit unrelated to observability, but you've just made me think a bit more about how you're saying you're reliant on third party providers as well. And something I think that's really important that sometimes gets missed is so many of us today are relying on third party providers, like AWS is a huge thing. A lot of people writing apps that require AWS services. And I think a lot of the time, people just assume AWS or Jira or whatever, is 100% up time, always available. And they don't write their code in such a way that deals with failures. And I think it's super important. So many times now I've seen people using the AWS API and they don't implement exponential back off. And so they're basically trying to hit the AWS API, it fails or they might get throttled, for example, and then they just go into a fail state and throw an error to the user. But you could potentially improve that user experience, have a retry mechanism automatically built in and that sort of stuff. It doesn't really tie into the observability thing, but it's something.
Jared Kells:
And the users don't care, right? No one cares if it's an AWS problem. It's your problem, right, your app is too slow.
Jess Belliveau:
Well, they're using your app. Exactly right. It reflects on you sort of thing, so it's in your interest to guard against an upstream failure, or at least inform the user when it's that case. Yeah.
Jared Kells:
Well, I think we're going to have to call it, this podcast, because it was an hour ago. We had instructed max 45 minutes.
Jess Belliveau:
We could just keep going. We might need a part two! Maybe we can request [cross talk 00:39:21].
Jared Kells:
Maybe! Yeah.
Jess Belliveau:
Or we'll just start our own podcast! Yeah.
Angad Sethi:
So what were your biggest learnings today, given it's been Angad and I are just learning about observability, Angad what was your biggest learning today about observability? My biggest learning was that observability does not equal Datadog. No, sorry! It was just very fascinating to learn about quantifying the known unknowns. I don't know if that's a good takeaway, but...
Jess Belliveau:
Any takeaway is a good takeaway! What about you, Jared?
Jared Kells:
I think, because I we were going to talk about state management, and part of it was how we have this ability, at the moment to, the way our front ends are architected, we can capture the state of the app and get a customer to send us their state, basically. And we can load it into our app and just see exactly how it was, just the way our state's designed. But what might be even cooler is to build maybe some observability into that front end for support. I'm thinking instead of just having, we have this button to send us out your support information that sends us a bunch of the state, but instead of console logging to the browser log, we could be console logging, logging in our front end somewhere that when they click, "send support information," our customers should be sending us the actions that they performed.
Jared Kells:
Like, "Hey there's a bug, send us your support information." It doesn't have to be a third party service collecting this observability stuff. We could just build into our... So that's what I'm thinking about.
Jess Belliveau:
Yeah, for sure. It'll probably be a lot less intrusive, as well, as some of the third party stuff that I've seen around.
Jared Kells:
Yeah. It's pretty hard with some of these integrations, especially if you're developing apps that get run behind a firewall.
Jess Belliveau:
Yeah
Jared Kells:
You can't just talk to some of these third parties. So yeah, it's cool though. It's really interesting.
Jess Belliveau:
Well, I hope someone out there listening has learned something, and Jordan and I will send some links through, and we can add them, hopefully, to the show notes or something so people can do some more reading and...
Jared Kells:
All thanks!
Jess Belliveau:
Thanks for having us, yeah.
Jared Kells:
Thanks all for your time, and thanks everybody for listening.
Jordan Simonovski:
Thanks everyone.
Angad Sethi:
That was [inaudible 00:41:55].
Jess Belliveau:
Tune in next week!
- Podcast
Easy Agile Podcast Ep.8 Gerald Cadden Strategic Advisor & SAFe Program Consultant at Scaled Agile Inc.
Gerald shared that companies often face the same challenges over & over again when it comes to implementing agile, but the real challenge and most crucial is overcoming a fixed mindset.
"Gerald helps massive companies work better together while keeping teams focused on people and on the customer. I'll be revisiting this episode."
Gerald also highlights the difference between consultants & coaches, and the value of having good mentors + more
I loved this episode and know you will too!Be sure to subscribe, enjoy the episode 🎧
Transcript
Sean Blake:
Hello, and welcome to this episode of the Easy Agile Podcast. Sean Blake here with you today. And we've got a great guest for you it's Gerald Cadden a Strategic Advisor and SAFe Program Consultant Trainer at Scaled Agile, Inc. Gerald is an experienced business, an IT professional, Strategic Advisor and Scaled Agile Program Consultant Trainer SPCT at Scaled Agile. Thanks, Gerald. Welcome to the Easy Agile Podcast. It's really great to have you on as a guest today, and thank you for spending a bit of time with us and sharing your expertise with our audience on the Easy Agile Podcast.
Sean Blake:
So I'm really interested and I'm interested in this story that... For all the guests that we have at the podcast, but can you tell me a little bit about your career today? I find that people find their way to these Agile roles or the Agile industry through so many diverse types of jobs in the past. Some people used to be plumbers or tradies, or they worked in finance or in banking. How did you find your way into working at somewhere like Scaled Agile?
Gerald Cadden:
Good morning, Sean. Thanks for having me here guys. I'm very happy to be here with you guys today. Career things are always an interesting question. I'm 53 and so when I look back I wonder how do I get to where I am? And you can often look at just a series of fortunate events. And I worked in retail shoe stores and then I decided to do something in my life. Did an IT diploma then did a degree and I started working in the IT side. I pretty much started as a developer because that was where the money was and so that's where you wanted to go. I didn't stay as a developer long. Okay. All right. I was a terrible developer so I wasn't good at it. It was frustrating.
Gerald Cadden:
I moved into some pre-sales work and that led me to doing business analysis and I really liked the BA work because I got to work with people and see changes. I could work with the developers, still got to work really directly with the customer which was much more interesting for me. So I spent a lot of time in BA doing the development work, doing business process reengineering my transitioned over to rational unified process. When it was around spent countless hours writing use cases doing your mail diagrams, convincing people on how to make the changes on those. And then Agile came along and I had to make a complete brain switch. So all of this stuff that I'd learned and depended on as a BA suddenly disappeared because Agile didn't require that as an upfront way of working. It required that to be in the background if you wanted it and it was more a collaboration.
Gerald Cadden:
So about 2004, 2005 started working with Agile a lot more by this time I was living in the U.S. So that's where I got my agile experience, stayed there for a long time. Got great experience and then I moved over to working with SAFe around 2011. The catalyst for that as I was working for the large financial firm in New York with a team there. And we were redesigning a large methodology for them to implement Agile at scale. Went to a seminar in 2011 at an Agile conference saw Dean Leffingwell presentation on SAFe and just looked up and went, "Well we can stop working on our methodology. It's done."
Gerald Cadden:
So hardly after that meeting I ran outside and tackled Dean Leffingwell because I wanted him to look at my diagrams and everything and give me some affirmation that I was doing the right thing. Dean is got a very frank face and he pulled his frank face and he looked at me and just said, "You know what? Just use SAFe?" And I'm like, "Yeah, we will." And so I started my SAFe journey around that time and we implemented that financial company and I've been on that journey ever since.
Sean Blake:
So take us back 10 years ago to 2011. And you're working at this financial company, you've heard of this concept of SAFe really for the first time you started to implement it. How did the people at that company respond to you bringing in this new way of thinking this new framework? It sounded you already had the diagrams on the frameworks and the concepts forming in your mind did you find that an easy process? I think I already know the answer, but how complex was that to try and introduce SAFe for the first time into an organization of that magnitude?
Gerald Cadden:
Yeah, this is a very large financial firm, a very old financial firm so very traditional ways of working. So what's interesting is the same challenges SAFe comes up against today they're present before SAFe even began. And so the same challenges of the past management approaches trying to move to faster ways of working was still there. So as we were furiously drawing diagrams in Visio, trying to create models for people to understand it was hard to create a continuum of knowledge and education that would get people to move from the mindset they had to the mindset we wanted them to have. And it was an evolving journey for myself and the team that I was working with. I work with a really great guy and his name is Algona, a very, very smart man.
Gerald Cadden:
And so the two of us we're always scratching our heads as to how to get the management to change their minds. And we focused on education, but it was still a big challenge. I finished on the project as they started with SAFe. I moved to different management role in the company that we continued the work there. Michael Stump he used to work for Scaled Agile I think he works now at a different company, but he continued a lot of that work and did a really good job and they did implement SAFe. They made changes, but they faced all the same challenges. The management mindset overcoming moving away from the silos to a more network structured organization. Just the tooling, just the simple things was still a challenge and there's still a challenge today. So the nature of the organization is still evolving even in the modern day Agile world.
Sean Blake:
You mentioned there that part of the challenge is around mindset and education. Have you found any shortcuts into how you change a team's mindset? The way they approach their work, the way that they approach working with other teams in that organization? I assume the factor of success has a lot to do with, has the team changed their mindset on the way they were working before and now committed to this new way of working? And can you talk to us a little bit about how do you go about changing a team's mindset?
Gerald Cadden:
Maybe I'll change the direction of your question here, because what I've found is usually you don't have to work too hard to change the mindset of a team. Most of the teams are really eager to try new things and be innovative. You only come across some people in teams who may be their career path has got them to a certain point where they're happy with the way the world is and they don't want to change. The mindset you really need to change is around that leadership space and that's still true today. So the teams will readily adapt if management can create the environment that allows them to do it and if they can be empowered. But it's really... If you want to enable the team it's getting the leadership around them to change their mindset, to change the structures that are constraining the teams from doing the best job they can.
Gerald Cadden:
And so that for me was the big discovery as you went along and it's still true today. As Agile has been evolving I've noticed that people don't always put leadership at the top of the list of challenges but for me it's always been at that top of the list. A lot of people want to look at leadership and say things about them unflattering things, but you have to remember these are human beings. And the best way to come to leadership is to really begin with a conversation, help them understand. They know the challenges, but we need to help them understand what's causing the issues that are creating those challenges.Gerald Cadden:
As you work with them and educate them you can to open their minds up a little more. Does that mean they'll actually change? Not necessarily. Political motivations, ideologies other things constrained leadership from moving. But conversations and education I think are the way to really approach leadership. And getting to know them as a person, take an interest in their challenges, take an interest in them as an individual. So create that social bond is an important thing. As a consultant that was always hard to do because as a consultant you're always seen as an external force and it's hard to build that somewhat social relationship with that leadership and build that trust.
Sean Blake:
Yeah, that's so true. Isn't it. I remember on an Agile transformation that I was on previously, how Agile coach really would spend just as much time with the leadership team as they would with us the Agile team. And it seems strange that the coach was spending so much time trying to really coach the leadership team on how they should think about this new way of working, but you put it in the right context there it's so important that they create that environment for their people and for their teams to feel safe in trying something new. Yeah, that's really important.
Gerald Cadden:
I think if you looked at how Agile evolves, when you look at the creation of the Agile manifesto and its principles and then the following frameworks like ScrumXP, et cetera it evolved from a team perspective. So everybody made the assumption that we needed to create these things for the teams to follow, but as people worked with teams they found that it wasn't the teams at all the teams adapt, but the management and the structures of the organizations are not adapting. And so that's really where it went.
Gerald Cadden:
I can't recall the number of countless Scrum implementations you worked on and you just hit that ceiling of organizational challenges. And it was always very frustrating for the teams. I think there's a an opposite side to that too is that too many in the Agile world just look at the teams as the center of the world and you can't approach it from that way either the teams are very important to delivering value to the customers, but it's the organization as a whole that delivers value. And I think you really have to sit back and just say, "The teams are part of that how do we change the organization inclusive of the teams?"
Sean Blake:
Okay. That's really interesting. Gerald, you've spoken a bit about teams and mindset, when you go into an organization, a big auto manufacturer or a big airline or a financial services company and they're asking for your help, or they're asking for your training, how do you assess where that organization is up to? What's their level of maturity from an Agile point of view? Do you have organizations that are coming to you who have in their mind that they're ready to go SAFe and then you turn up on day one and it turns out no one has any real idea about what that type of commitment looks like?
Gerald Cadden:
Yeah, it's a good question. Because I think as I look back at the history of this, in 2011, 2012 when SAFe really got going, as you went forward I mean, there was no concept of where to begin. Consultants were just figuring it out for themselves and like most consulting or most methodologies they got engaged in an IT space and at the team level. And people would try to grow from the team level upwards. And at some point we need to know I've struggled a lot with this because I was just trying to figure out where it is that. So my consulting hat was always on to sit down, talk to people about their challenges, find a way to help figure out how to solve the challenges whether it was going to be Scrum or SAFe or whatever is going to be right.
Gerald Cadden:
Those are just tools in the toolbox. But when Scaled Agile as I was working with... Excuse me, as I was working with SAFe, Scaled Agile brought out the implementation roadmap. It produced so much more clarity that came later in my time with SAFe and I wish it had come earlier because it really began to help me clarify that initial thing that we call getting over the tipping point. How to work with the organization you're talking to, work with the right people, understand their challenges, help them understand what causes those problems, which is the more traditional ways of working the traditional management mindset, help them connect SAFe as a way to overcome those challenges and begin to show them. If you looked at the roadmap it's this contiguous step-by-step thing, but what you find in reality is there are gaps between those steps and in those gaps is the time you as a transitional team are having lots of conversation with the management.
Gerald Cadden:
If you put them through a training class they're not going to come out of the class going, "Oh, wow that's it. We know what to do." It takes follow-up conversation. You have to have one-on-ones one on many conversations, cover topics of gains so you can remove the assumptions or sorry the misassumptions. So it's a lot of that kind of work that the roadmap its there for those who are implementing SAFe today use it. It is one of the most helpful tools you'll have.
Sean Blake:
Awesome. Yeah. I think just acknowledging the difference between the tools in the toolbox and then the other fact that you're dealing with humans and you're dealing with attitudes and motivations and behaviors and habits there's two very different things there really. It sounds you need to take them all together on that journey.
Gerald Cadden:
Yeah. A side to that we train so many SPCs like SAFe program consultants. We train them, training them out of classes all the time with us and our partners. The thing that you can, you can teach them about the framework, but you can't necessarily teach them how to be a good consultant or a good... I want to say I use the term consultant and coach, right?
Sean Blake:
Yes.
Gerald Cadden:
Sometimes I like to say a good consultant can be a good coach, but a good coach can't necessarily be a good consultant because there's another world of knowledge you need to have like how do you sit down and talk to executives? How do you learn the patients and the kinds of questions you need to ask, how do you learn to build those relationships and understand how to work the politics? So there are things outside the knowledge of an SPC that they need to gain. So young people coming in and running to do this SPC course I want to prepare you for everything, but it gives you the foundations.
Sean Blake:
So when you're in a organization or you're coaching people to go back to their organization how do you teach them those coaching skills so that when they come in and they've got to learn the politics, they've got to identify the red flags, they've got to manage the dependencies, they've got to bring new teams onto the train. How do you go about equipping that more human and communications of the toolbox really?
Gerald Cadden:I think you can obviously teach the fundamentals of the framework by running through the training courses. But mentoring for me is the way to go. Every time I teach a training class I make it very clear to people when they go back and they're starting a transformation don't go this alone. Find experienced people that have done this and the experience shouldn't just be with SAFe their experience should be having worked with large organizations having experience with the portfolio level if necessary. Simply because there are skills that people develop over years of their career if they don't have at the beginning.
Gerald Cadden:
I mean, if I look back at some of the horrific things I had said in meetings and in front of executives my boss would put his hands up in front of his face because I was young and impulsive and immature and I see that today. So when I first came to the U.S I worked with some younger BAs and they would say things in a meetings and you quickly have to dance around some things to, "We didn't really want to say that right now." So I think mentoring is the skill. We can teach you the tactical skills, but teaching you the political skills, the human skills is something that takes mentoring and time.
Sean Blake:
Mentoring so important in that context. Isn't it?
Gerald Cadden:
Yeah.
Sean Blake:
Okay. So let's rewind 12 months ago to March 2020, a month that's probably burned into a lot of people's mind is the month that COVID changed our lives for the foreseeable future. I know that Easy Agile had a lot of content out there, articles about how to do remote PI Planning, how to help your virtual teams work better together and we didn't know that COVID was coming we just saw this trend happening in the workforce and we had this content available.
Sean Blake:
And then I was checking out our website analytics and we had this huge spike in what I assume were people in these companies trying to work out for the first time, how to do PI Planning virtually, how to keep very literally their release trains on the tracks in a time where people were either leaving the state, working from home for the first time, it's really like someone dropped the bomb in the middle of these release trains and people scrambling on how we are we going to do this virtually now? Did you have a lot of questions at the time on how are we going to do this? And how have you seen companies respond to those challenges?
Gerald Cadden:
Yeah. I remember being in Boulder, Colorado in January of 2020 and I just come back from vacation in Australia and that's when COVID was coming around and you were hearing about things in January, 2020. I was talking with my colleagues and we were wondering how bad this is going to be within two months the world was falling apart. And for us I think a good way to tell that story is to look at what Scaled Agile did. We knew our business that it was very reliant on our partner success and it still is today. And so as we began to see the physical world of PI Planning and training, as we began to see that completely falling apart the company had to quickly adapt.
Gerald Cadden:
We already had a set of priorities set for the PI and we implement Scaled Agile internally in the company. At the time we're running the company as a train itself because it's 170 all people. So they had to reprioritize the different epics, we pushed a new features and it was all about what do we need to change now to keep our partners afloat by getting them online and a really good team at Scaled Agile in a really cross-company effort to get short-term online materials created to keep the partners upright so they could keep teaching. They could find ways to do this, to do PI Planning, to do they're inspecting adapts all online. And so we pushed out a lot of material just simply in the form of PowerPoint slides that they could then incorporate into tools like Mural, Al tool. SAFe collaborate we went about developing this and we've been maturing that over time.
Gerald Cadden:
And so now we're in a world where we have a lot more stability. We saw a big dip like everybody else, but the question is, are you going to come out of that dip? And so what we did notice within probably even the second quarter of that year where the tail end of it we saw it starting to come up again, which our partners starting to teach more online. So the numbers told us that the materials we're producing were working. So for us it was just a great affirmation that organizing yourself the way we did organize yourself, the quick way we could adapt saved us. So Scaled Agile could have gone the way of a lot of companies and not being able to survive because our partners wouldn't have survived. We had the ability to adapt. So it's a great success story from my perspective.
Sean Blake:
Well, that's great. We're all glad you're still around to tell the story.
Gerald Cadden:
Yes we are.
Sean Blake:
And Gerald, whether you're reflecting on companies you've worked with in the past, or maybe even that internal Scaled Agile example you just touched on. Are there specific meetings or ceremonies or checking points that are really important as part of the Agile release train process? What are the things that really for you are mandatory or the most important elements that company should really hold onto during that really set up stage of trying to move towards the Scaled Agile approach?
Gerald Cadden:
So I interpret your question correctly. I think for me when you're implementing the really important things to focus on as a team first of all is the PI Planning. That is the number one thing. It's the first one people want to change because it's two days long and everybody has to come and it can cost companies a quite a significant sum of money to run that every 10 to 12 weeks. And so you will run very quickly as I had in the past in the car company you run very quickly into the financial controller who wants to understand why you're spending $40,000 a quarter on a big two-day meeting. And so they lie, they start questioning every item on the bill, but that's the most significant one.
Gerald Cadden:
PI Planning is significant. The inspect and adapt is the other one simply because at the end if you remove that feedback cycle, what we call closing the loop if you remove that then we have no opportunities to improve. So those two events themselves create the bookends what we get started with and how we close the loop, but there are smaller events that happen in between the team events are obviously all important. But more significant for me is the constant, the event for the product management team or program management team how are you going to filter them, excuse me.
Gerald Cadden:
Who are going to need to get together on a regular basis to ensure that then we call this the Sync. So this is the ART Sync or the POPM Sync. You need to make sure those are happening because those are these more dynamic feedback loops and ensure the progress of good architectural requirements or good features coming through so that when you get to PI Planning the teams have significant things to work on. So if you had to give me my top three events, PI Planning, inspect and adapt, and the ART Sync and product POPM Sync.
Sean Blake:
Awesome. I know there's always that temptation for teams to find the shortcuts and define the workarounds where they don't have to do certain meetings or certain check-ins, but in terms of communication it must be terribly important for these teams to make sure they're still communicating and they don't use the framework as an excuse to stop meeting together and to stop collaborating.
Gerald Cadden:
Yeah. I mean, I went through when I started implementing at the large car company in the U.S I decided to rip the bandaid off. They had several teams working on projects and they weren't doing well, when I looked at the challenges and decided we're going to implement SAFe some of the management they were, "Are you crazy? Why would you do this?" But they trusted me. And so we did rip the bandaid off and we formed them all into a not. We launched set up. And I remember at the end of the PIs some of the management have had a lot of doubts that were coming up after they sat through the PI and they said they just couldn't believe how great that was.
Gerald Cadden:
Even though the first PI was a little chaotic they understood the work and the collaboration, the alignment, just the discussions that took place were far more powerful for them. And teams were happier, they were walking out to a different environment. So it changed the mood a great deal. So I think the teams their ability to be heard in one of the most significant places is during PI Planning, they get that chance to be heard. They get that chance to participate rather than just be at the end where they're told what to do.
Sean Blake:
Mm-hmm (affirmative). So it really empowers the team.
Gerald Cadden:
Yeah. Absolutely.
Sean Blake:
That's great. So as a company moves out of the implementation phase and becomes a little bit more used to the way of doing things what's the best way for them to go about communicating that progress to the wider organization and then really evangelizing this way of working to try and get more teams on board and more Agile release trains set up so that it's really a whole company approach.
Gerald Cadden:
Yeah. A good question. So I think first of all the system demo that we do. So the regular system demos that take place, this is an event where you can invite people to. So when you get to the end of the program increment, the 10, 12, or the eight, 10 or 12 weeks and you're doing your PI system demo that's a chance for you to invite people that may be in the organization who are next on the list and they're going to be doing this, or they're curious, or if you have external suppliers who you're trying to get on board as part of the training have them come. Have them come to these events so they can just participate. They can see what goes on and it takes away some of the fear of what that stuff is. It gives them work much.
Gerald Cadden:
So the system demo whether you do it during the PI, but definitely the PI system demo and you want that one. So more ad hoc things and one of the things that I've seen organizations really fail to do is when they're having success the leadership around the train need to go out and I hate the term evangelize, but go out and show the successes. Get out and talk about this at the next company meeting present where they were and where they are now. But as part of that don't share just the metrics that show greater delivery of value show the human metrics, show how the team went from maybe a certain level of disgruntlement to maybe feeling happier and getting better feedback, show with how the business and technology have come closer together because they're able to collaborate and actually produce value together rather than being at odds because the system makes them at odds.
Sean Blake:Awesome. Gerald is there anything else you'd like to share with our audience before we wrap up the episode? Any tips or words of encouragement, or perhaps some advice for those who are considering scaling up their Agile teams.
Gerald Cadden:
I think that the one piece of advice again, I'll reiterate back to the earlier point I made is as you are going through the implementation process and you're starting to launch your train and train your teams figure out how you're going to support them when you launch. Putting people through an SPC class or through all the other classes they won't come out safe geniuses. They'll have knowledge and they'll have the enthusiasm and have some trepidation as well, but you need good coaching. So figure out as you're beginning the implementation pattern where you're designing the teams et cetera, figure out what your coaching pattern is going to be. Hire the people with the knowledge and the experience work with a partner for the knowledge and experience. They shouldn't stay there forever if you work with consultants.
Gerald Cadden:
Their job should be to come in and empower you not to stay there permanently, but without that coaching and coaching over a couple of PIs your teams tend to run into problems and go backwards. So to keep that momentum moving forward for me it's figure out the coaching pattern. The only other one I would say too is make sure that you get good collaboration between product and the people who are going to be the product management role on architecture, get rid of the grievances, have them work together because those can stifle you. Get in and talk about the environments before you launch. You don't want funny problems when you, "Oh, the architecture is terrible." Okay. Let's talk about that before we launch." So just a couple of things that I think are really important things to focus on before you launch the train.
Sean Blake:
Awesome. I really appreciate that Gerald. I've actually learned a lot in our chat around. It's the same challenges that you had 10 years ago it's the same challenges that we have today. The really the COVID is the challenge of how do you focus on the mindset change. We've talked about the teams are eager to change. There might be a few grumbly voices along the way, but really it's about leadership providing a welcoming and safe environment to foster that change and the difference between being a coach and a consultant, the importance of mentoring. Wow we actually covered a lot of ground didn't we?
Gerald Cadden:
I may get some hate mail for that comment, but...
Sean Blake:
Oh, we'll see. Time will tell. Thanks so much Gerald for joining us on the Easy Agile Podcast. And we appreciate you sharing your expertise with us and the audience for the podcast. Thanks for having you.
Gerald Cadden:
Happy to do it anytime. Thanks for having me here today.
Sean Blake:
Thanks Gerald.