DevOps Chat: App Modernization and Service Virtualization with IBM’s Matt Tarnawsky

While everyone wants to focus on building a new app, the fact is there are many, many apps already out there. They need to be maintained, updated and modernized. How do you upgrade these legacy apps to new infrastructure, frameworks, languages and more? App modernization is a thing.

In this DevOps Chat we speak with Matt Tarnawsky of IBM about app modernization and service virtualization, testing and more.

As usual, the streaming audio is immediately below, followed by the transcript of our conversation.

Transcript

Alan Shimel: Hey everyone. Alan Shimel, DevOps.com, and you’re listening to another DevOps Chat. In this episode of DevOps Chat we’re going to spend time talking about app modernization, testing, service virtualization. We will see what else kind of gets dragged in within our time frame.

Our guest, you know, who’s going to serve as the expert today, Matt Tarnawsky. Matt, hopefully I didn’t mess that up too bad. Matt is with IBM. And Matt, welcome to DevOps Chat.

Matt Tarnawsky: Thank you, Alan. Good to be here.

Shimel: Absolutely. Pleasure to have you here. So Matt, first of all, I did not mangle your name too badly, I hope.

Tarnawsky: No, you got it pretty good.

Shimel: Fantastic. So Matt, following our tradition here on DevOps Chat, we like our guests to introduce themselves. So why don’t you tell us a little bit about your current role at IBM and also a little bit about your own personal journey that led you to be here today.

Tarnawsky: Sure thing. So I am the product manager for IBM’s Rational Test Workbench and Rational Test Virtualization Server, specializing in API testing and service specialization. In terms of how I got here, I have had an interesting journey, starting off with working with a lot of the circuit boards and SPGAs, working with those and then testing those as well.

I ended up migrating across to working with a small company called Green Hat Software building, AGI testing and service specialization tools. We were acquired by IBM several years ago and I’ve been enjoying the journey ever since.

Shimel: Good for you. That’s a great story met. And you know, it’s fairly – it’s more usual than unusual in the IT space when you see someone – when we look at the arc of our careers, five years from now who knows what we will be working on. It may not even exist or we even know about it today. So it’s kind of right par for the course.

So Matt, as I mentioned earlier, I wanted to talk a little bit about app modernization. In my mind, anyway, it’s a loaded – that phrase is a loaded phrase. We hear it bandied out about a lot but when you talk to people – to some people they are talking about, “Well, I am modernizing my existing app. So I’m taking my legacy applications and modernizing them for new infrastructures, new delivery methods, new imports, what have you.” So really about modernizing your existing legacy applications.

To other people, though, it’s more about modernizing the way you develop, deploy, and manage applications. So modern – application modernization. Of course, no matter how we are talking about it, testing plays a vital role in this. So why don’t we first do a little level set. You know, Matt, what you – when you hear app modernization, what does it mean to you?

Tarnawsky: So to me, it encompasses a lot of things you mentioned _____ _____ _____ _____ people talk about is, how to do I _____ _____ my app to new markets, new interfaces. That can be things like mobile. It can be things like presenting apps _____ _____ _____. And that often does require _____ _____ _____ _____ their interfaces to actually bring them into the _____ away from our systems that they may have had in the past.

But often, it also means they want to look at the faster methods of delivery, new development styles. These things often go hand in hand. You often can’t get those faster methods of development with rapid feedback and everything else without looking at, how do we change our entire development life cycle; trying to be stuck in a waterfall method doesn’t really get you that same acceleration that you can get when you start looking at, how do we automate everything and moved to DevOps.

Shimel: Got it. Got it. Now you broke up there a little bit back on – and I’m hoping people listening will be able to catch all of that. But let’s – so we may fill in. But let’s talk a little bit about the role of testing and that framework of app modernization. Obviously, testing is important, but how so and in what context?

Tarnawsky: So I actually see – you know, if we are taking older, monolithic applications and looking to migrate them towards micro-services, it’s a great opportunity for testing. You are putting things into small units that can be tested on their own. You get things like – let’s say you’re migrating to a _____  based _____ based service, you get the opportunity to describe it with _____ Swiger or _____ or open API. And you’ve got a contract there that you can then test against.This means that things now have the parameters, the what needs to be tested, how to test it, and it can be imported into many different test tools to help them start testing, but it’s smaller bits of functionality. So it’s a great opportunity to break things up and really look at how those can be worked with at a smaller level.

At the same time though, it also introduces new opportunities for more complex interactions that we didn’t previously anticipate. So let’s just say you’ve taken that big monolith. You want to expose micro-services to the rest of the world or indeed to other teams in your organization well, suddenly the integration that you had relied on in the past might not be the same ones that you are looking at using in the future. You need to start looking at how we test not just those smaller levels of the micro-services, but also looking at how we test each of those integrations over time.

One of my customers has a great analogy that they like to use in terms of the testing. They said when you’re testing a car, you don’t just test the car. You test little pieces of it. So you might start off by testing the spark plug. Then you might say we will integrate some pieces and see how those work together. We test the engine out. Then at some point in the future, we will put the engine in the car and we will test that as – you know taking it for a test drive, taking it for a spin, and make sure the entire end-to-end system works as well.

Shimel: Excellent. Excellent. Actually, that’s a great analogy. Great analogy. So Matt, another phrase we hear, and we’ve all been hearing it, a lot of us, in IT for a long time now, is service virtualization. I think people have a better handle on what we mean when we talk about service virtualization. But again, let’s lay a foundation. When you talk about service virtualization, especially in terms of app modernization and testing, what does that mean to you?

Tarnawsky: So service virtualization is where we take some sort of interface that we might have had that could be something silent rest. It could be something like Mqueue. It could be a legacy mainframe interface like Kicks. We provide some sort of mock that is going to handle the interactions with the interface. That can be coupled on the rest of the application. It starts to be providing us – I’m sorry.

It starts providing us with the ability to look around and – I’m sorry about that. Got myself a little bit jumbled there.

Shimel: No problem.

Tarnawsky: Basically, it gives us the ability to remove restrictions from ourselves. So if we had legacy items in our environment that we might not have in the cloud yet, well actually, we can do is we can say, well, look, that mainframe connection, that SAP connection, whatever it might be that’s in our current on-prem environment, we can virtualize that, we can house something that sits in the cloud. And in fact, our developers can have an entire environment in the cloud that is no longer linked to those legacy systems.

Shimel: Fair enough. So how does this all play out then, Matt? Right? So now we’ve got our little parts here and we’ve defined what we mean by this. In your world, where are you seeing sort of rubber meets the road, if you will, in terms of organizations deploying, employing, doing this kind of stuff? Make sense?

Tarnawsky: So we see all sorts of things. We do see people looking at that – we want to do a migration. So we are going to record various pieces of environment and have them available to replay. Just very, very basic style of creating virtual services, but it can be effective. And indeed, they can do the same sort of thing for their API testing as well and just say, “Have we migrated this correctly? Does it still have the same functionality we had last week when we had it on-prem as we got on the cloud now?”

That’s a very effective way to look at things. But equally, we see all sorts of interesting stories come up from customers, whether that’s looking to virtualize the way a third party – so we’ve seen customers look at things like Apple Pay or Experian or whatever, where they have to pay every time, they had that third-party service. Or indeed, that might just don’t have control over it and they want to simulate what happens if that third-party service responds or throws an error code or whatever.

We see customers who do some really – one of my favorite stories comes from a customer who was looking at testing out their credit card issuing systems. Now, you can imagine that as you’re looking at issuing a credit card, at some point you’re going to print a credit card. Now, just imagine test automation for that sort of thing. Do you really want credit cards popping out of the machine? No you want to be able to test things effectively, but not have these physical dependencies.

So what they did what they looked at the traffic that was going through that credit card machine, the issuing machine. They said, here we got a point where we can virtualize some things in our environment and remove this dependency that we currently have. We don’t want to print real credit cards. It’s a waste of time, waste of resources, and in fact, it slows that test automation down. So if we can virtualize that out, we can get faster feedback back to the development team. So that’s exactly what they did.

Shimel: So Matt, we recently did a webinar over on DevOps.com you are probably aware of it, modernizing testing as apps re-architect. Is this the kind of stuff we are talking about?

Tarnawsky: Very much so. You want to make sure that your testing stays in pace with that re-architecting of the apps. A lot of that does come down to developers delivering fast from the cloud. And tests more and more need to be automated. That doesn’t remove the value of exploratory manual testing or anything like that. But we do see that need for testing to become more and more automated in the future as well, as this change happens.

Shimel: Absolutely. You know, another thing, and I get this a lot, Matt, when I’m traveling around the world. Is this a sort of – not to use the – abuse the term, but first world problems, right? Is this where… In terms of the market, is it sophisticated, large enterprises who already have legacy infrastructures, a history of service virtualization and so forth? Or is this something that’s really kind of more grassroots that’s happening across the board, across the globe, as organizations are starting to move to app modernization and dealing with the realities of having to test around this stuff?

Tarnawsky: So we see all sorts. Actually, the example I gave you earlier, the bank that was looking at the credit cards, was a fairly new bank here in the UK.

Shimel: It was? Okay.

Tarnawsky: They were – that they are very much based on looking at how they can do things in the cloud, trying to keep things as modern as they can. They are looking for all the latest techniques, all the newest tools that can help speed up their development and their time-to-market. So yes, we do have a number of customers using this stuff for legacy enterprise systems. They are looking to virtualize the way a mainframe, for example.

But equally, we see other customers come to us and say, “I want to accelerate my development and my testing as fast as we can. What can you do to help us?”

Shimel: Good.  Interesting. You know, Matt, I mentioned when we started that the time goes pretty quick. We are coming up on the end of our time frame here. But for people who maybe want to get more information on this, where can they – where can we dig? I mean, I should mention that the webinar I referenced earlier is available on DevOps.com and YouTube, a recording of it along with the slides. So people who are interested there should absolutely head on over and get that. We will try to include the URL in our show notes for today’s podcast.

But where else should they go, Matt? How do people get smart on this?

Tarnawsky: So I would invite them to come on to IBM.com, searching for Rational Test Workbench or Rational Test Virtualization Server, depending on whether they are interested in test automation or service virtualization, as a starting point. And we’ve got loads of white papers. We’ve got customer stories. We’ve got all sorts of things you can look at for more information just to see how other people have been doing things.

Shimel: Fantastic. Matt Tarnawsky, thanks for being our guest on DevOps Chat today. Pleasure to have you on. Hopefully we will have you on again soon.

Tarnawsky: And thank you very much for having me.

Shimel: All right Matt. Hey, this is Alan Shimel for DevOps.com. You just listen to another DevOps Chat. Have a great day, everyone.