Easy Agile Podcast Ep.23: How to navigate your cloud migration journey

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?

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"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 🎧

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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!

In this episode, we dive deep into the challenges of aligning teams with strategic goals across organisations of all sizes. From fast-growing startups to large enterprises, teams everywhere struggle with the same fundamental issue: translating high-level objectives into actionable work that drives real value.

Our guest Andreas Wengenmayer, Practice Lead for Enterprise Strategy and Planning at catworkx (the #2 Atlassian partner worldwide and #1 in EMEA), shares his 11 years of experience helping organisations bridge the gap between strategic vision and team execution.

Want to see these concepts in action? Andreas and Hayley hosted an interactive webinar where they demonstrated practical techniques for strategic goal alignment using Easy Agile Programs. Watch the recording here→

About Our Guest

Andreas Wengenmayer is the Practice Lead for Enterprise Strategy and Planning at catworkx, one of the leading Atlassian Platinum Solution Partners globally and the #1 in EMEA. With over a decade of hands-on experience helping enterprise teams scale agile effectively, Andreas specialises in bridging the gap between strategy and execution. His work focuses on guiding organisations through complex transformation programs, optimising portfolio planning practices, and helping teams adopt frameworks like SAFe with clarity and purpose. Known for blending pragmatic insight with systems thinking, Andreas brings stories from the field - ranging from fast-moving startups to complex, multinational enterprises.

Transcript

Note: This transcript has been lightly edited for clarity, readability, and flow while preserving the authentic conversation and insights shared.

Recognising the signs - when teams aren't aligned

Hayley Rodd: Awesome to have you here. So I'm going to start with a bit of a reality check. We've worked in organisations across the spectrum from really fast-growing startups to really big enterprises. From your experience, when you walk into a PI planning or quarterly planning session, and I'm sure they're pretty hectic, what are the telltale signs that teams aren't truly aligned on what success looks like?

Andreas Wengenmayer: That's a great question - one I hear frequently. You can imagine, especially post-COVID when teams returned to in-person planning sessions. Back in 2017, we'd have huge arenas with hundreds of people in one place. People are happy to see each other, excited to chat with colleagues from different locations. This became even more pronounced after COVID, when everyone was working from home more frequently. That's a good sign - the mood is positive.

But you also notice some teams under pressure. They'd rather be working on actual deliverables. They know they have to be there, and it takes two full days to complete all the planning. Meanwhile, they're carrying a mental backlog - technical debt, unfinished work from the previous PI, catching up on delayed items.

This is what I often observe: teams get bogged down discussing minor details. People debate specifics, and you can see they're frustrated about something deeper - but they're not addressing the root cause. This creates its own negative momentum and can derail otherwise solid planning sessions.

Teams get bogged down discussing minor details. People debate specifics, and you can see they're frustrated about something deeper - but they're not addressing the root cause. This creates its own negative momentum and can derail otherwise solid planning sessions.

Sometimes you have to step in and ask what's really underneath. What's the actual cause? People say, "Yeah, I have to be here because that's the format, but I'm not engaged." Maybe it didn't work well in the past and there's lingering skepticism.

The prevailing attitude then becomes: "This isn't really collaborative. Leadership plans from the top anyway. The outcomes are predetermined - here's the plan, just make it work and update your boards." When people feel they can't meaningfully contribute or influence direction, they simply go through the motions.

My favourite example happens at the end when teams must formulate their objectives. It becomes a box-checking exercise - create something that satisfies the coach or Release Train Engineer so everyone can "get back to real work."

What good alignment actually looks like

Hayley Rodd: You've touched on so many things there. I can imagine walking into that room and feeling the pressure. People getting caught up in minor details rather than talking about root causes, or not asking the five whys to get to that root cause. You also touched on getting buy-in across the organisation. When people are really nailing it, when alignment is really there, what does that room feel like?

Andreas Wengenmayer: Yes, I've fortunately experienced those environments, and they're actually more common than you might think. When companies genuinely commit to grassroots planning, truly investing the time it requires, and ensure teams aren't overwhelmed from the start with everything marked "priority zero," you create the foundation for successful planning.

When companies genuinely commit to grassroots planning, truly investing the time it requires, and ensure teams aren't overwhelmed from the start with everything marked "priority zero," you create the foundation for successful planning.

You can see it immediately in people's body language and interactions. The energy in the room is palpable. If people appear resigned or intimidated, afraid to speak up, that's typically a red flag. The opposite creates magic.

Think about high-performing teams, like being a Scrum Master with an exceptional group. The best teams aren't just collections of highly skilled individuals in specific roles.

The best teams are those who communicate openly, genuinely enjoy each other's company, maintain positive energy, and actively support one another. This dynamic enables remarkable achievements. Maybe someone knows a contact in another tribe, release train, or department who can provide crucial answers and facilitate communication. Communication is absolutely fundamental.

That collaborative spirit is the hallmark of truly effective teams.

Hayley Rodd: Absolutely. We would know it in our day-to-day work, right? If your teams aren't communicating, if they're too overburdened as you said, it's not a good place to start. But if you can get that starting point right, if you can get that communication right, so many things will flow after that.

Andreas Wengenmayer: Absolutely. Looking back at any planning cycle, the real test is: did you plan the right things? You only know at the quarter's end whether you estimated capacity accurately.

Here's the crucial question: How does your organisation respond when goals aren't met? Do stakeholders focus on finding solutions? Do team members feel safe asking probing questions and seeking answers? Or does the blame game begin, searching for scapegoats?

How does your organisation respond when goals aren't met? Do stakeholders focus on finding solutions? Do team members feel safe asking probing questions and seeking answers? Or does the blame game begin, searching for scapegoats?

When you're permitted, encouraged, even, to be genuinely open and honest, you become much better at assessing realistic capacity. What makes stakeholders universally happy is predictability. You want confidence that your plans will actually materialise, that your commitments will be fulfilled.

Success breeds success, creating a positive foundation for the next PI. It's a continuous cycle that can spiral upward toward excellence or downward toward dysfunction.

The startup vs. enterprise spectrum

Hayley Rodd: Let's talk about the two ends of the spectrum. You've got a lot of experience, so I love hearing about this. Small companies will often say, "We're agile, we can pivot quickly, we don't need formal goal setting." Then enterprises are going all out on OKRs, cascading objectives, saying they're aligned because they've got those things in place. Yet both struggle with the same core problem. What's really going on?

Andreas Wengenmayer: You're absolutely right. I've been in agile projects since 2014, 11 years now, and I've seen a lot of companies pre-COVID, post-COVID, different sizes.

Starting with the really small ones, startup companies - what's really astonishing is that some very small startup companies tend to become overly complex, which is amazing. Some want solutions that are way too overblown. Basically, they need a sailing boat, but they're thinking about ordering an aircraft carrier.

Some startups want solutions that are way too overblown. Basically, they need a sailing boat, but they're thinking about ordering an aircraft carrier.

Maybe that's part of startup CEO culture - where everyone's a CEO on LinkedIn, and they think, "We're corporate, we have to be like that." They mostly get to their senses in the end, but small companies tend to be overly complex and overblown when it comes to technology, tooling, and organisation.

On the other end, large corporations sometimes seem to try their best to become truly agile - living the values everywhere. Still, it's a challenge. In most cases, there's some kind of hybrid planning going on. There's still a roadmap, which is good, but at some level, some people still stick to classical approaches, have some waterfall going on in the back.

I personally have never seen, for example, a full SAFe organisation where it's done truly at every level. There's a good balance and it should be healthy, but it all comes down to execution.

I feel like mid-sized companies are often the healthiest when it comes to that.

There's a balance of method and tooling, but you still need a solid understanding of goal setting and tracking. This includes pivoting when goals aren't right and learning from how you did things in the past. The gap between management and teams isn't that huge, and it's easier to bridge.

Avoiding death by KPI

Hayley Rodd: You've touched on so many fundamental things around getting the method and tooling right, but also that cultural aspect. I love the insight around mid-size organisations often striking that balance well. When we're thinking about the enterprise risk - which could be "death by KPI" or OKR, do you agree? Can you paint a picture of what that looks like and how it actually makes teams less focused?

Andreas Wengenmayer: Absolutely. There is such a thing as "death by KPI." KPIs are important to get a clear picture - you do need metrics, and there's merit to it. But as always, it's about choosing the right KPIs, the right metrics.

My favourite example is comparing story points across teams or ARTs. You measure velocity, and I have to repeat again and again: it's only individual to one team. You shouldn't compare it to another team or across tribes or ARTs - that doesn't work because you're creating the wrong incentives.

You see what will happen: "Well, okay, my stakeholders want higher amounts of story points. Let's estimate the stories bigger." Of course, that's a continuous loop, but it doesn't give you anything. Story points as a metric are just guidance for a team to get a better feeling for estimations.

You see what will happen: "Well, okay, my stakeholders want higher amounts of story points. Let's estimate the stories bigger." Of course, that's a continuous loop, but it doesn't give you anything. Story points as a metric are just guidance for a team to get a better feeling for estimations.

You want predictability - you want to meet a certain range. So it's not a great KPI when it comes to monitoring progress across teams. They have better KPIs in place.

Other metrics tend to create what I call bureaucracy. If you spend too much time creating reports, you have less time to create anything of value.

Hayley Rodd: I think there's so much in what you're saying about people being realistic and honest, open to pivoting or changing a goal if it's not the right one. Admitting to that is really difficult because no one wants to admit that what they set out to do is failing. But understanding that failure can sometimes be a benefit - you can learn from that. There's so much in that cultural aspect, right?

Andreas Wengenmayer: Absolutely. Coming back to goals rather than KPIs - KPIs are like being on a boat in your control room. You see what the engine is doing, the temperature - those are KPIs. Goals, on the other hand, are the course that you set.

KPIs are like being on a boat in your control room. You see what the engine is doing, the temperature - those are KPIs. Goals, on the other hand, are the course that you set.

You could be a small company like a startup - you're in a canoe, you're rowing. Or you're a large company - you're like a big freighter. Still, if you don't set the right course, the right goal, you will never reach your destination. Your team can be as proficient and perfectly working as they could be. If the course isn't right, hopefully you have enough provisions on board to survive a long journey.

Where organisations get stuck in goal setting

Hayley Rodd: Where do organisations typically get stuck? Is it defining the goals, communicating the goals, or translating them into action - that execution point you made before?

Andreas Wengenmayer: It could be basically any one of those. If you have a smaller or mid-size company, it's easier to communicate - you don't have to bridge as huge a gap. But still, you have high-level goals that have to be translated into real work. Real value is created in the teams.

If you have a high-level goal that's highly abstract and sounds good on paper - "increase customer satisfaction," "create better products," "make the world a better place" - people still have to understand: What does that mean to my daily work? If I'm a developer, what's my stake in that? How can I contribute?

If you have a high-level goal that's highly abstract and sounds good on paper - "increase customer satisfaction," "create better products," "make the world a better place" - people still have to understand: What does that mean to my daily work? If I'm a developer, what's my stake in that? How can I contribute?

That's when communication and breaking down goals becomes really important. Breaking them down the right way, having them visible and transparent, and creating that feeling of contribution. You make it visible that you're not just working for yourself or your team, but you're really contributing. You understand what you're working on and why you're doing it. Purpose is critical.

Bridging the strategy-to-sprint gap

Hayley Rodd: That's a really good segue into the next question about translating strategic vision into team-level objectives that people can grab onto and execute. Leadership will often say something like "increase customer satisfaction," and teams are left going, "What does that mean for me in my sprint this week?" How does an organisation bridge that gap between the high-level leadership view and what we can do in our sprints as a team?

Andreas Wengenmayer: First of all, you as company management need to take the time. There have been, and still are, a lot of approaches with company values, putting posters on walls, creating marketing. Those are all values - that's what a company is like. Then you link it with your products, services - great services, customer satisfaction. Okay. Then comes the real challenge: we want to succeed and create the next service, software solution, or product.

The goal is clear on a high level, but how do we break it down? That's when the real work comes into play - breaking down the goals into smaller pieces.

It's like building a LEGO space station when I was a kid. You have the picture on the box in the beginning - 'Oh, that's what we're going to build.' Then you have to start putting together all the small pieces. You need a plan, you need the little pictures of the steps. You start with the big picture, then you're breaking it down one piece at a time. You create different parts, and they come together at the end. Same goes for goals.

It's like building a LEGO space station. You have the picture on the box in the beginning - 'Oh, that's what we're going to build.' Then you have to start putting together all the small pieces. You need a plan, you need the little pictures of the steps. You start with the big picture, then you're breaking it down one piece at a time. You create different parts, and they come together at the end. Same goes for goals.

Hayley Rodd: Nice. A colleague of mine often says you eat an elephant one bite at a time - similar thing, right? When you see that big goal, it's really overwhelming. But if you can break it down into those chunks and smaller pieces, it becomes so much more manageable and achievable. People can get behind that vision.

Managing moving targets

Hayley Rodd: In fast-moving environments, goals often shift. We're agile, we're always moving. How do you help teams stay connected to a moving target without either ignoring changes or constantly thrashing around?

Andreas Wengenmayer: Back in the nineties and early 2000s, there was a computer game that wasted a lot of time in offices where you were shooting at geese in Scottish Highlands. It was a big phenomenon because people were trying to get the next high score.

If you think of moving targets, it's a bit like that. Imagine you're doing your work - whether you're a hunter or developer doesn't matter - but you approach, you take aim, and the geese keep flying up. You miss the target. Same thing if you have moving goals.

It's harder to aim and approach them right. What you should avoid as a company or someone in charge is constant interference. Stick to your goals or objectives that were agreed upon during PI planning. Don't change them midterm during a PI.

What you should avoid as a company or someone in charge is constant interference. Stick to your goals or objectives that were agreed upon during PI planning. Don't change them midterm during a PI.

That doesn't mean you can't learn from mistakes or wrong goals. You can adjust them, but you have to adjust them in the right place and time, which is during planning. Of course, if something security-related comes up, you have to act, but it has to be agreed upon, and you still have to communicate it and create understanding.

Keeping goals visible and actionable

Hayley Rodd: Even when goals are well-defined, keeping them visible and actionable throughout a PI is tough. What practices or tools have you found most effective for maintaining connection between daily work and high-level strategic objectives?

Andreas Wengenmayer: Good question. Having the goals present at all times helps a lot. If you just meet for planning, have your goals set, and never look back during the PI, it doesn't do you any good.

That could be a piece of paper on the wall like we had back in the day - and still could be if you're working in the office. Also, choose the right tools to track the goals and create acceptance for tools. Really use them. Look into them - whether it's an OKR tool or some other solution, even PI objectives. Are we still on track?

What really helps is if it's not static but shows progress, and especially shows the link of what you're contributing - like what you achieved in your last sprint and how it plays into the objectives or goals, progress moving ahead. There's always a good feeling - everybody loves a green bar moving ahead or a checklist.

What really helps is if your tool is not static but shows progress, and especially shows the link of what you're contributing - like what you achieved in your last sprint and how it plays into the objectives or goals, progress moving ahead. There's always a good feeling - everybody loves a green bar moving ahead or a checklist.

It helps keep the vision and goals present.

Hayley Rodd: When I was a teenager in my final year of high school here in Australia, I wanted a specific score on my final exams. I had a big poster in front of my desk that I sat at for hours every day studying. Looking back, I didn't know what I was doing - I just wanted to visualise my goal, and I didn't know the psychology behind it. But I'm happy to report I got that mark and above.

I think it was as you were saying - that constant reminder, that piece of paper worked for me. In organisations, we're looking for something a bit more complex sometimes, but I like your "keep it simple" advice. It doesn't always have to be super complex. It can just be a checklist, progress bar, or piece of paper - something that helps you feel connected to the goal and reminds you of it often.

When good work doesn't align with goals

Hayley Rodd: Have you seen situations where teams were delivering lots of work - good work, but it wasn't clearly contributing to company goals? What tends to cause that disconnect?

Andreas Wengenmayer: Yeah, that happens quite a bit. I can think of one example with very technical teams, like in semiconductors. Very smart people - everyone has a PhD in physics, material science. Awesome, smart people who tend to love their job. They're awesome, but they're also perfectionists who can still improve things and want to make them even better.

If you're in the business of producing machines used to produce semiconductors, for example, it's a complex task with a complex supply chain or value chain. You're creating lithography machines to create wafers used by other companies, and in the end, you have a customer planning the release of a new phone.

Your customer waits, the end customer waits, and you have to deliver on time. Sometimes this creates a challenge because teams still want to improve and make it even better. That's when economics come into play - the view of the big picture. You still have to communicate it. You shouldn't discourage such a great team, but you need to get the bigger perspective back to the teams and create acceptance instead of saying, "Hey, stop what you're doing, it's good enough." You don't want that. It all comes back to transparency and communication.

On the other spectrum, what you sometimes have is just too much workload on teams. Time for planning gets cut short, and if you don't take enough time to plan well, no wonder the results don't work out. It's just a lot of busy work - a lot of things getting done, but not necessarily the right things at the right time.

On the other spectrum, what you sometimes have is just too much workload on teams. Time for planning gets cut short, and if you don't take enough time to plan well, no wonder the results don't work out. It's just a lot of busy work - a lot of things getting done, but not necessarily the right things at the right time.

Hayley Rodd: If you don't do that planning at the start, you're setting yourself up for misalignments. If you're not communicating that plan regularly, you're setting yourself up for that busy work and people getting distracted. It's just so common. That planning part is so fundamental to getting it right.

One piece of advice for frustrated leaders

Hayley Rodd: We're on the home stretch now. If you could give one piece of advice to an engineering or product leader who's been frustrated because their teams seem to be going through the motions of PI planning or quarterly planning without real buy-in, what would it be?

Andreas Wengenmayer: I can resonate with that so well, and many can. I'd say: take the time to find out what's really going on. Investigate the root cause. It's like if you have a house and you're trying to fix a crack in the wall - you can look at the crack and do some superficial fixing or use a thick layer of paint, but you still have to find out what's causing that issue. Maybe something deeper.

You mentioned the five whys - that can be one way, but you have to have some understanding of the right way to approach people. You don't want to put anyone on the spot. Looking for a scapegoat doesn't help anybody.

We need to look at what's behind it, what's causing it. It all comes back to investing enough time for planning, but doing it with purpose. Not doing the whole planning like theatre, where everybody acts their part - that doesn't do you any good.

It all comes back to investing enough time for planning, but doing it with purpose. Not doing the whole planning like theatre, where everybody acts their part - that doesn't do you any good.

People have to understand why they're doing it. There has to be purpose and understanding - enough time, no distractions, and a positive atmosphere where everybody can contribute and be open.

You don't want people saying nothing because they don't dare to criticise or say no.

The connection between goal clarity and team motivation

Hayley Rodd: What's one thing you wish more organisations understood about the connection between goal clarity and team motivation?

Andreas Wengenmayer: We could get back to the boats we mentioned before. You want to arrive at your destination. If you're not clear about the destination, or maybe some people in your rowing boat don't want to go there, they might not join the rowing. If your crew is not invested, it will take you longer to reach a destination, or you won't get there as well.

It's the same thing. Motivation is key, and I don't talk about superficial motivation that just annoys everybody. Motivation is a positive environment where people rely on each other. They really like spending time with those people.

"Hey, I really like to go to lunch with you and talk to you" - not "I'd rather be home and not talk to anybody." You're not annoyed if your teammate asks you a question; you're happy to help. You're feeling safe that when you have a problem or question, you will get help.

That creates the right kind of motivation - that positive environment, and that can make a lot of things happen. It comes back to openness and transparency, not as buzzwords, but to get the clear picture. As a stakeholder, you get the correct current state because you get true answers.

I've seen strange situations in major corporations where people really didn't report what they were working on or show the right results. I've seen complete shadow Jira environments - one for internal use and one for external use with customers. There can be huge misalignments because people didn't dare to show real progress. In the long term, it will backfire. If you don't have trust in your environment, in your company, you will have a hard time.

I've seen strange situations in major corporations where people really didn't report what they were working on or show the right results. I've seen complete shadow Jira environments - one for internal use and one for external use with customers. There can be huge misalignments because people didn't dare to show real progress. In the long term, it will backfire. If you don't have trust in your environment, in your company, you will have a hard time.

Wrapping up

Hayley Rodd: There are so many key themes coming up throughout our conversation. You've talked about ongoing communication across teams, really planning with purpose, getting that context and buy-in to help with motivation, and allowing for radical candour - being really open if something's not working and being okay to call it out. So many cultural and communication elements are critical to the success of quarterly planning, PI planning, and organisations generally. Great takeaways.

We're going to end it there, but I want to end with a teaser for our interactive webinar that you and I are doing together on September 4th, which dives deeper and shows how to operationalise the ideas we've chatted about here using Easy Agile Programs and linking back to the fundamental services that catworkx provides organisations.

Andreas, it's been super wonderful to chat with you. I look forward to our webinar coming up on September 4th.

Andreas Wengenmayer: Thank you so much for having me. Looking forward to September 4th and seeing you again, talking more about tooling, boats, duck hunt, and anything in between.

Ready to transform your strategic planning?

The conversation doesn't end here. Andreas and Hayley hosted an interactive webinar where they showed how you can put these strategic alignment concepts into practice.

They spoke about:

• Practical techniques for breaking down strategic goals into actionable team objectives
• How to maintain goal visibility throughout your PI cycles
• Real-world examples of successful alignment transformations

Watch the webinar recording here →

In this episode, I was joined by Sherif Mansour - Distinguished Product Manager at Atlassian.

We spoke about styles of product management and the traits that make a great product manager. Before exploring the idea of a shared brain and the role of a product engineer.

Sherif has been in software development for over 15 years. During his time at Atlassian, he was responsible for Confluence, a popular content collaboration tool for teams.

Most recently, Sherif spends most of his days trying to solve problems across all of Atlassian’s cloud products. Sherif also played a key role in developing new products at Atlassian such as Stride, Team Calendars and Confluence Questions. Sherif thinks building simple products is hard and so is writing a simple, short bio.

Hope you enjoy the episode as much as I did. Thanks for a great conversation Sherif.