Spinnaker Summit 2019 Preview: Most open source software isn’t one size fits all, and Spinnaker is no different. While it captures the most general use cases of software delivery, most organizations find that it lacks some features they need to automate their entire delivery pipeline, such as integrations with internal tooling or compliance systems.
Out of the box (figuratively), Spinnaker provides Run Job and Webhook stages that teams can use to build custom integrations to help fill any void and enable adoption by a wide range of users.
Ethan Rogers, staff software engineer with Armory, joins us on DevOps Chat to share a preview of his Spinnaker Summit 2019 talk on Spinnaker extensibility. Ethan shares how Run Job and Webhook stages are used to build custom stages to capture any number of use cases with no code and simple configuration. He also covers situations when it’s necessary to write code.
Ethan’s talk, “Making Spinnaker Your Own,” is on Saturday, Nov. 16, 3:45 PM, at Spinnaker Summit 2019 in San Diego. Separately, Ethan appears on the “State of the Kubernetes V2 Provider…” panel Friday, Nov. 15 at 2:30 PM.
As usual, the streaming audio is immediately below, followed by the transcript of our conversation.
Transcript
Mitch Ashley: Hi, everyone. This is Mitch Ashley with DevOps.com and you’re listening to another DevOps Chat podcast. Today, I’m joined by Ethan Rogers. Ethan is a staff software engineer and also a speaker at Armory. He’s gonna be talking at the upcoming Spinnaker Summit 2019 in San Diego. Now, Ethan’s gonna be talking about making Spinnaker your own, that’s his talk, and then he’s also gonna be on a panel about the state of Kubernetes V2 Provider, plus improved rollout strategies for deploying Kubernetes using Spinnaker.
So, let’s get started. Ethan, welcome to DevOps Chat.
Ethan Rogers: Thank you so much for having me. I’m really excited to be here and get to talk about Spinnaker.
Ashley: Wow. Absolutely. Great topic. I know you’re passionate about it, so fantastic to have you. Would you just introduce yourself? Tell us a little bit about you, what kinda work that you do and a little bit about Armory, the company that you work for?
Rogers: Yes. So, like Mitch said, my name is Ethan Rogers, I’m a staff software engineer at Armory. I’ve been actually working on the Spinnaker project for about the last three years. I’ve been at Armory for a year and a half, and then a year and a half before that, I was working for my previous company where we were, you know, I was part of a team for delivery and developer experience. And, you know, we were using Kubernetes for this new project that we were working on and looking for a way to deploy and got involved in Spinnaker super early on. So, I’ve kind of been a part of the community ever since then and it’s been a really great experience so far.
Yeah, so, that is actually kind of how I found Armory. Closer to the end of my time at my last job, I met the founders, DROdio, Ben and Isaac, and they had just—eh, within probably six to nine months started Armory. And we kinda hit it off. I had a really good relationship with the founders and it was kind of an opportunity to go keep working on Spinnaker full time, which is something I was interested in.
So, Armory, just a little bit about us—we’re bringing Spinnaker to the enterprise. So, what we’re doing is taking open source Spinnaker and, you know, on top of offering stuff like support and training, we also offer layers on top of open source Spinnaker, various different extensions and features that make it more aligned with what the enterprise is looking for today.
Ashley: Mm-hmm. Very good. Well, that explains, I know there’s yourself, but there’s also some other folks that are speaking at the conference.
Now, your topic, you gave a nice introduction about how you got involved with Spinnaker—how long ago was that, when you started using it?
Rogers: Yeah, it was about three years ago, kind of before the—like, right when the first version of the Kubernetes provider landed. I think, at the time, I didn’t realize how early we were. It kind of explains a lot of the PRs I had to submit when I first got involved.
Ashley: I’ll bet, I’ll bet. Do you write any code, submit any code or are you primarily on the usage end of Spinnaker?
Rogers: Yeah, so, I’m actually a developer by training. I got my degree in computer science, and transitioned pretty early on in my career into the ops side of things. So, I’m pretty fluent in both. I actually do write a lot of code. These days a lot less, just because of the role I’m in. At Armory, I do a lot more higher level stuff like BitTorrent, but I still try to get a few PRs submitted every week. I lead a couple of initiatives in the Kubernetes provider itself, so I do a little bit of everything.
Ashley: Well, I won’t ask you which is the dark side, ops or developing—no, I’m just kidding. It’s DevOps, it’s all together now, right?
Rogers: [Laughter] Yep.
Ashley: Okay. So, let’s jump into what you’re gonna be talking about. And, of course, we’re not gonna cover it all here, but I know that you’re focusing on kinda how open source, you usually don’t just use it out of the box, if you wanna use that term. I know it’s free and downloaded.
Rogers: Mm-hmm.
Ashley: But that you have to do some customizations to kinda get it working in your environment, and we’re talking about Spinnaker here. What’s your experience working with customers? What’s their expectation when they start to use Spinnaker and what do you have to kinda help them get started with?
Rogers: Yeah. So, the interesting thing about Spinnaker open source is that it’s actually, like, a very small part of what Spinnaker is at Netflix. For anyone listening who doesn’t know, Spinnaker was a project that was born out of Netflix. They built it, it was the next iteration in deployment technology from a project called Asgard.
Ashley: Mm-hmm.
Rogers: And one of the driving principles of Spinnaker was making it extendible. And the primary reason for that was because Netflix has a lot of kind of internal workflows and things that they like to—that make their development experience better, that don’t necessarily apply to the broader community.
And so, when you start using open source Spinnaker kind of out of the box, there are a lot of things that I think most companies want, right? The same reason that Netflix has those, the things that don’t apply to the community but work for them, every other company has something like that.
Ashley: Mm-hmm.
Rogers: So, when I was at my previous company, we had this workflow around our Docker images where we would add labels to our Docker images and then we wanted those labels to show up in the Kubernetes manifest where those images were deployed.
So, that was something that wasn’t available in Spinnaker out of the box, but we were able to use some of the extension methods to actually go grab that information and inject that stuff, which is kind of the basis of the talk I’m giving around Run Job.
Ashley: Okay, great. Well, let’s explain that, then, because I know you’re gonna be talking about Run Job and about Webhook Stages. What is Run Job, what is Webhook?
Rogers: Sure, yeah. So, just kind of, at a high level, Run Job and Webhook are ways that you can extend Spinnaker to kind of make it—to do the things that it doesn’t do out of the box that you need it to.
Ashley: Mm-hmm.
Rogers: There are more complicated ways to extend Spinnaker that involve actually taking the code and writing Java code, but we found that the majority of users or operators, I should probably say, are not super familiar with Java. So, that’s a pretty—it’s fraught with friction, I would say.
Ashley: Yeah, it’s a whole other ball of wax, right?
Rogers: Yeah, exactly. Yeah. So, the Run Job stage and the Webhook stage give kind of a lower friction way of extending Spinnaker. So, the Webhook stage is a stage within Spinnaker that lets you call out to some API. There’s the, you know, I select it as a stage in my pipeline via drop down and I configure it there. There’s also what we call preconfigured Webhooks or custom Webhooks that allow you to actually configure this as part of Spinnaker’s configuration, and then it shows up like it’s a native stage.
Ashley: Mm-hmm.
Rogers: So, under the hood, it’s still calling out to APIs. It’s as if you’ve configured it in line, but it shows up and, to the end user, actually looks like it’s part of Spinnaker itself.
Ashley: Very nice. So, what are some of the most common uses of that to extend integrations into other things? Is it internal third party tools, internal custom software people who built, is there, you know, typically—the typical use cases for this?
Rogers: I think that we usually end up seeing people integrating more with internal systems than, say, hosted services like GitHub or other—I don’t know, GitHub’s probably the easiest example. New Relic is another one that we see.
But I think where, in most cases, Spinnaker has integrations for the public stuff out of the box, but obviously, if the tool’s internal to your company, you don’t have that. So, that is usually where we see it. So, I think there was one company that I had talked to that was, they had this internal integration testing suite or load testing suite that they wanted to call out to, and they used the Webhook stage to make that call and kick off those tests.
Ashley: Mm-hmm. Great, great. Now, I understand you can do a lot of this without writing code, is that correct?
Rogers: Yeah. Yeah.
Ashley: So, what does that entail? What kind of a—what’s the configuration process look like to tie, let’s use that example that you gave of someone that wrote their own test framework of some kind that they wanna call out to in a Webhook stage?
Rogers: Yeah. So, I guess I should probably back up and clarify my answer a little bit.
Ashley: Okay.
Rogers: So, at some level, you will need to write code. The question is whether or not you actually have to write that into Spinnaker itself.
Ashley: Okay.
Rogers: One of the, I guess we can call it native extensions, which is essentially using Spinnaker as a library and writing Java and doing some spring magic to make it happen.
Ashley: Mm-hmm.
Rogers: So, if you were to use a Webhook or a Run Job stage, for that matter, you would have to write a little code. But the benefit of that, if it’s a Webhook the service, whatever service that you’re trying to connect to can be written in whatever language that you want, right? So, if it’s Go, if it’s Python, if it’s Ruby, if it’s—you know, whatever you wanna do, the service is running in the API as the contract that you expect.
Ashley: Mm-hmm.
Rogers: And so, with the Webhook stage, all you’re doing is making a call. You know, you could argue that writing a cURL command is writing code, but I think a lot of people are familiar enough with that, that it’s a pretty low overhead.
Ashley: Mm-hmm.
Rogers: So, if you can make a call in your terminal, you can make a call from Spinnaker with the Webhook stage.
The Run Job stage is actually a little more interesting, because what it allows you to do is run a container as if it were a script that you might be running. So, a really common pattern for doing custom logic in CI systems specifically is, I have a container, the container has all my dependencies and it has a script that I need to run. And we just run it like a one shot, you know—once this script finishes, if it fails, the pipeline fails. If it succeeds, the pipeline continues. And then, like, the world is really open, the world is your oyster at that point, because you can write the script in whatever you are most comfortable writing, and then you can run that within Spinnaker.
One of the more interesting things that we did with the Run Job stage is that you can actually output—you can output these special markers in your logs and Spinnaker will go grab those and inject them back into the pipeline so that you can use them in downstream stages. So, maybe your job is going off and collecting some information for you. You can actually use that in, like, say, your deploy stages or a downstream Run Job stage or Webhook stage as, like, arguments you pass down.
Ashley: It’s almost used like the log is like an asynchronous message bus, to make it more complicated than it is, but a super simple version of that.
Rogers: Yeah, yeah.
Ashley: Some down stage version where you could look at what happened before it and take appropriate action.
Rogers: Yeah. Yeah, and that’s really—you know, we heard, the motivation kind of behind that feature is, we heard a lot of users, like, you know, they wanna be able to extend Spinnaker, but they don’t wanna write Java code, you know? And containers, for the Run Job stage specifically, containers are obviously super prolific in our industry today. I’ve built my career off of Kubernetes and containers, so.
Ashley: Mm-hmm.
Rogers: Containers are kind of like the perfect medium for being able to do this, because you can contain everything that you need—[Laughter] you can contain everything that you need in this container, and then, because Spinnaker can run containers in Kubernetes, it’s kind of like a natural fit, right?
Ashley: Mm-hmm.
Rogers: We can kind of take advantage of the fact that it doesn’t matter what your code is, the interface that we need is a container and then the logs, and we can get all of that information out.
Ashley: I’m curious—this is totally a side question, but did you learn anything in college about containers and that kind of thing in software architectures, or is this something that you really started in after you graduated?
Rogers: I wish I had learned something in college about this. So, I actually, I graduated college in 2013, and got my start writing PHP and doing a lot more software development. But in the back of my head, I’d always been like—I am very interested in servers.
Ashley: Mm-hmm.
Rogers: So, writing the code was interesting to me, but it always seemed like the people with all the power and all the really, people that I looked up to, they were the guys, like, in a shell, deploying software, checking, like, “Is this server overloaded?” It was very much not DevOps, but it was something that really interested me.
Ashley: Sure, yeah.
Rogers: And I—you know, I kind of, I spent probably three years as a software developer without having done that. But once I transitioned kind of into this CI/CD space, that really gave me an opportunity to focus more on ops, while doing some development and, you know, we picked up Kubernetes at my last job, and that’s where it all kind of kicked off.
So, I think we started on Kubernetes 1.4, and that’s really where I learned everything I know about containers and orchestration platforms and stuff like that.
Ashley: Well, it puts you in a really great position, because you can speak to both sides, both audiences, if you will, you know, developers and operations folks.
Rogers: Yeah.
Ashley: And, you know, my experiences before kinda containers and all of this, all the DevOps environment, some of the best developers were engineers who really knew how to write code, but they knew the full stack down to the operating system and the network, right? They kinda knew enough of all of it. Maybe there were really good parts of it, too, besides writing code.
Rogers: Mm-hmm.
Ashley: There’s a lot of, I don’t know, power, if you will, in understanding that full stack and how it works.
Rogers: Yeah. I found that the more you understand about the stack, the better positioned you are to take advantage of it, right, and to actually write better code. You can go back and probably look at the birth of DevOps and see this, but engineers that spend the majority of their time writing code and then throwing it over the wall are more likely to write less performant code, right? Code that is not aware—you know, we wanna write really abstract code, but at some level, you have to be aware of what type of environment you’re running in.
So, if you’re running on a machine that has 128 cores and hundreds of Gigs of RAM, it doesn’t really matter how inefficient your algorithm is, because it’s gonna run fast. You know, it all depends on scale, but … I’ve found that engineers that understand kind of the cloud and the environments they’re running in and what the actual, you know, where are your network boundaries and what are your actual constraints are writing better code, they’re shipping more frequently, they’re iterating—like I said, they’re iterating more quickly and that all of that is super important.
I think the other thing that I’ve found is that it’s a growing process, right? I kind of like to look at it as—well, at least in my personal experience, I’ve found that I have a hard time grasping, kind of, the next level of what I’m doing until I’ve fully understood the previous level. And I think that’s really true for a lot of people, right? Until you’ve got a solid grasp of programming, it’s kind of hard for you to imagine what it would be like to understand ops, right? To understand how your program is actually running on servers.
Ashley: Yeah. I would describe it as kinda context. It helps to know when you understand the environment of what you’re operating in and what you’re doing, what you’re building is going to operate in. And vice versa, right? If you’re in operations or security now, with DevSecOps, understanding now how software is being built. So, it’s the great thing about the accessibility of resources around the cloud and contemporary software architectures and all of that.
Rogers: Yeah.
Ashley: Well, we’re running out of time. I wish we had more time to invest in this, but the great thing is that you have your talk coming up, so that’s where you’re really gonna get into more details about that. And Ethan, I thank you for being on the podcast.
Rogers: Of course, man. Thanks for having me.
Ashley: Absolutely. Ethan Rogers, staff software engineer and also speaker from Armory, he’s speaking at Spinnaker Summit 2019, which is on November 15th through the 19th in San Diego. Now, he has a topic that we were just talking about, “Making Spinnaker Your Own,” that’s on Saturday, November 16th, 3:45. He’s also on the panel about the state of Kubernetes V2 provider. That is on Friday, the day before—the 15th at 2:30.
So, thanks to you, all of our listeners, for joining us for this episode. This is Mitch Ashley with DevOps.com, and you’ve listened to another DevOps Chat podcast. Be careful out there.
— Mitchell Ashley
