By Ray Bernardi | 7 April 2021

I have a question for the IBM i shops out there. What are we waiting for? Why aren’t we doing DevOps yet? I’m going to suggest that a lot of shops fall into the “if it ain’t broke, don’t fix it” category. That’s pretty much been the culture of traditional IBM i shops. It’s also the reason IBM i shops lag behind in innovation and adopting new technology and techniques. That leads to the incorrect assumption that the platform is old and can’t respond to business needs. Nothing could be further from the truth. 

Yet, I talk to businesses that are leaving the platform because they need to modernize. They are willing to take the risk of a complete rip and replace of their business systems. Why? Because they want the software running on the IBM i to be as agile as their open world software is. They want to be able to use the same pipeline for changes no matter where the code lives. They want to automate the process and implement DevOps. 

Summary

1. It’s the technical debt 
2. What cultural divide?
3. Making Git ‘smart’ about native IBM i components 
4. One CI/CD pipeline to rule them all
5. True DevOps with Git on IBM i 
1. It’s the technical debt

The problem is not the platform. The problem is technical debt. Their code is old, their database has not been updated to DDL, they still use old clunky change management systems developed decades ago that are incapable of meeting the new agile requirements they face. They have no idea how to automate what’s happening on the IBM i or how to interface it with the tools they are using like Jenkins, Jira, Git and so on.

2. What cultural divide?

The other issue is culture. The IBM i has been around for a long time. A lot of people see what’s happening in the open world, and have no idea that can all apply to the IBM i. The answer is in tooling and automation.

Why not use the same tools the open world uses? Where is your source control for your IBM i right now? Is it contained within an outdated change management system? Why not use Git for your native code? That’s probably where all the open code is stored and you probably have people who know Git pretty well.

Here’s the problem. Most IBM i developers haven’t used Git. Branching, merging and the Git workflow are foreign to them. They don’t think it can work for them. Try telling an IBM i developer that from now on, when they make a change, they need to pull their source from a Git branch, see how far you get.

That’s where tooling comes in. A modern change management system like ARCAD knows about Git. It uses webhooks during branch creation and creates associated development libraries on the IBM i automatically. It then puts the source in those development libraries during checkout, ready to edit and compile. Not much different.

With that kind of tooling in place, how would an IBM i developer use Git to do the pull? They simply checkout the source, that’s it. The tooling does the rest. It’s just a menu option or a right click. When they are done making their changes, another menu option or right click pushes back to the branch. It’s the same workflow they’re used to (now), they checkout, edit, compile, test and deliver the change. The difference is Git is behind the scenes.

Did you notice in the above paragraph I said they can take a menu option? There’s an implication there that an IBM i developer that uses 5250 can also do this. That implication is true. Green screen development with Git as the source control is fully supported by ARCAD. That’s serious integration.


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3. Making Git ‘smart’ about native IBM i components
Ok then… next issue. Git has no clue what an IBM i is. It has no idea what a PF or a Table is. It has no clue about dependencies. So, how can a build with IBM i components possibly work? By passing what’s changed to a tool that knows the IBM i, that’s how.
At ARCAD we call that tool Builder. It’s a smart IBM i build. If you change a table using Git as your source code repository, Git will pass what you changed to Builder. Builder will then identify all related components and recompile them automatically, in the correct order, in the correct development libraries. Again, automation is the key here. You don’t need a make file, or to script every change. It’s done for you.
The best part is your source is always available on your IBM i. ARCAD using Git will push source to the correct libraries as needed. Developers work on the IBM i in libraries with source files that are all native to them. RDi and 5250 are both supported.
4. One CI/CD pipeline to rule them all
So, with this kind of tooling, your IBM i code can follow the same pipeline as your open source. Are you starting to see the light here? Now we can use the same type of automation for IBM i code that’s used for open code. This opens the door to true DevOps on the IBM i.
For example, you could use Jira to create a task. ARCADs interface with Jira will create the related maintenance report at the appropriate time. That could be when a developer drags the task from Backlog, to In-Development on a Kanban board as shown here.

A branch is created for the developer and using ARCAD Skipper, they develop as they do now, no big changes, no new workflow, no huge learning curve, no slow down in productivity.

When they are ready, they push the change and automation takes over. The branch is updated in the Git repository. The push event triggers a webhook, something has happened, and action is needed. What kind of action? Let’s examine some possibilities. Take a look at the illustration below.

That’s an example of an automated pipeline for IBM i code moving into a unit test environment. This is Jenkins shown in this example. When the developer did the push, Git and Builder together created everything needed. During Integration, the source code was copied from development to a test environment on the IBM i. Objects were either moved or compiled into the test area, that’s a choice you make.
Once the source and objects are in place, the pipeline triggers ARCAD Code Checker. Code Checker automatically examines the source code for quality and security standards that you can set. It’s the first step of the quality gate for your IBM i code.
ARCAD iUnit can then test the procedures in your programs to make sure they still function as expected. Then ARCAD Verifier can run full regression tests over the environment to see if the change had any unexpected results you could not have predicted. All this is automated.
You get reports and results all along the way. You can view them from your automation tool, like Jenkins, so you have one place to look for issues. All this because a developer took a menu option or did a right click in RDi. Can you imagine the time savings?
So without changing things too much for your development teams, this could be your IBM i workflow.

You can see the production line of code on the master branch at the top. Each of the feature branches is a change under development. The feature branches get created from the master branch. Developers work on those feature branches and use the automation we have already talked about. They push to the feature branches. You can also see push events off each of the feature branches, this is not the developer doing this, let me explain.
The developer only pushes back to the feature branch. You can have as many feature branches as you need. The developer can push to them as often as they wish. Now, imagine you’re creating a new release of your software, here is a question for you. When you’re ready to update production, would you prefer doing it change by change, feature by feature, like you did in test? Or would you rather promote the aggregate in one motion as a release? The later sounds a lot easier to me.
That’s what that release branch at the bottom of the diagram is about. It’s there to collect the changes delivered by developers on the feature branches. The push events shown here might be done by your QA department when the change is accepted, for example.
Now remember, a branch has an associated IBM i library. So yes, you would be correct in assuming that when the release branch got created the same thing happened. A library was created to store the release as a whole. The illustration below is a CloudBees pipeline, Jenkins isn’t a requirement, automation is the requirement and there are lots of tools to help you like CloudBees, Azure DevOps and Jenkins.

Once the changes are accepted for the release, the push events shown on the diagram would trigger everything seen above. The process first uses the branch information to determine the correct release library on the IBM i. Before the code is put into the release, it is scrubbed by Code Checker for quality and security compliance. If it passes that test, the source is placed in the release(version) library and compiled during the build. Once the objects are created, ARCAD iUnit tests the procedures again, if that goes well the changes get automatically promoted from the unit test environment, to the QA environment in the Integration step. Then a full regression test is done, and if that goes well, the changes get deployed to a test LPAR.
All that happened because a feature got pulled into the release branch. That’s serious automation and it is true DevOps on the IBM i.
5. True DevOps with Git on IBM i
I’ve been working with the tools I’ve talked about here, and many others, for a long time now. I’ve been talking about DevOps for the IBM i for at least the last 6 years or so. These tools let you shift left. Issues are found early in the development cycle when they cost a lot less to fix. They are redundant; they check things multiple times during the lifecycle of a change, automatically. They automate the steps you now do manually. This is a modern toolset that allows you to treat your IBM i code the same way you do your open code. With agility.
The only thing that confuses me is the rate IBM i shops have adapted to the new ecosystems we are seeing. It’s not the platform; it can handle whatever you throw at it. It’s not the lack of tooling. As you’ve seen here, the tools are available and mature.
This solution allows open and IBM i developers to work together, it includes cross-platform cross reference capabilities, and they can “see” each other. It allows a senior 5250 developer that’s been with the company for years to work like they always have. It allows you to attract new talent because the (young) developers coming out of college today, already know Git, Jira and tools like Jenkins and they will feel at home with it all. This is a solution that works. It’s available today. So what is it then? What are we waiting for? An invitation?
Well then, I formally invite you to examine the rest of the ARCAD site and see what we can do for you and your organization. Now that that’s out of the way, Git Going!!!!

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Ray Bernardi
Senior Consultant, ARCAD Software
Ray is a 30-year IT veteran and currently a Pre/Post Sales technical Support Specialist for ARCAD Software, international ISV and IBM Business Partner. He has been involved with the development and sales of many cutting edge software products throughout his career, with specialist knowledge in Application Lifecycle Management (ALM) products from ARCAD Software covering a broad range of functional areas including enterprise IBM i modernization and DevOps. In addition, Ray is a frequent speaker at COMMON and many other technical conferences around the world and has authored articles in several publications on the subject of application analysis and modernization, SQL, and business intelligence.
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The post Git DevOps going on IBM i – A practitioner’s guide to easy CI/CD on IBM i with Git (or, why are you waiting?) appeared first on ARCAD Software.

When Cloud Meets DevOps on IBM i

We’re witnessing multiple macro trends play out in the IT industry, with the rise of cloud computing and managed services being one of the most compelling storylines in 2021. How software is developed is changing too, with DevOps tools and agile methodologies rapidly becoming the norm. When these two trends converge in our little neck of the woods, it can leave IBM i customers wondering where to go. With their recently formed partnership, ARCAD Software and Connectria have mapped out one path.

A decade ago, companies were still unsure of the cloud. They would dabble with adding development, test, and maybe DR in the cloud, but they kept production systems on premise. That resistance is quickly melting away, as many companies now look to the public cloud platforms as their first choice for production runtimes, especially for new Web and mobile applications, and analytics and AI.