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Home » Blogs » Enterprise DevOps » Humans in the Machine of Release Orchestration

Humans in the Machine of Release Orchestration

Avatar photoBy: Kristian Nelson on May 4, 2016 1 Comment

Let’s face it: Most organizations are still struggling to achieve the Nirvana of full gated automation. At first, we automate the core of our DevOps services, the build and the deployment disciplines. Over time, we realize that a templated or framework (or pick your similar terminology) approach toward automation allows for scale as well as predictability, lowering costs. It is here where the lion’s share of variability can be reduced and scalability achieved.

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The next culprit to hit the radar is usually test automation, but this tends to be where the rubber meets the road for the level of work it takes to automate process. So generally minimal work gets done, ascribing to the 80:20 rule that 80 percent is quickly attainable and should be sufficient, the remaining 20 percent is just too hard. But having gotten this deep in the DevOps maturity scale, release orchestration (RO) is usually next up in our continuum of services.

The automation of release orchestration is a different animal than the core of build, deployment or even test automation. Release orchestration is more about automating our process of change management. Invariably the spreadsheets or SharePoints of yesteryear are intended to give way to our preferred vendor’s methodology of reinventing the release wheel in their proprietary toolset (albeit with better results expected). But usually this is the wrong approach as well.

Changing Human Thinking About RO Construction

As I continually repeat, DevOps is about thinking differently about “how we innovate.” (If you need more strategic leadership help in this regard let me know, I am looking.) Consider that our spreadsheets and SharePoints, while impressive, constricted us to thinking about release and change management within the architectural constructs or limitations of the spreadsheet and SharePoint tools. They were task-oriented, less interactive, top-to-bottom lists of what we thought we needed to do in any given release. If we were to truly go back to the drawing board and thought about creating a release without those constraints, or just with the idea of parallel tracking, what might we accomplish?

Digesting the release process with a lean mentality breaks down large sections into more manageable subsections. This reduces risk, and increases speed, particularly if it is coupled with parallel execution. If there truly is a sequential dependency in our tasks, let’s call it out, but when we do, we must ask ourselves whether that dependency is a go/no-go for all activities, or for only some of them. If it is the former, so be it; if it is the latter, then perhaps we can adjust our sections to account for this and run more of them in parallel. Just implementing a parallel mindset can radically reduce the time it takes to run a release from end to end. But we must also ask ourselves, What other key features of any preferred release orchestration toolset can alter how we think?

Changing Human Thinking About RO Execution

The other axis upon which to digest release orchestration is in its real-time interactivity. Consider for a moment that some tasks either cannot or will not ever be fully automated. Some tasks will remain in the province of a human to fulfill. For example, (and I cannot imagine why, but humor me), if we needed to install additional hard drives in bare metal servers during a release, the physical installation would always require a human to do so. With old release orchestration technology we must wait for shared spreadsheet files to be updated by the engineer when he/she completes this task (or any other manual task example you can think of).

With new mobile release orchestration technologies, the engineer could mark them complete (or percentage complete) in real time on his/her mobile device while still in the data center, standing in front of the hard drives/server. How much time does this save, in pure walking to his terminal, logging in and updating a file, emailing it to the change manager, merging it with the current one, etc.. A simple swipe and done. The engineer is now able to provide a great deal more information to the team in real time, and with minimal effort. This gives real-time visibility to the release manager such as has never existed before.

It can also grant them a level of direct interactivity. Imagine the hard drives’ physical installation has been completed, but manual testing is failing. If the engineer has no good way to share the information with the team, risk for overall on-time completion cannot be properly assessed. Proper tooling avoids the scenario where change and release managers are waiting on a task, and drill-down activity is unavailable (picture a spinning icon, rather than a percentage complete on specific task item). Add the dimension of red-yellow-green to track the completion of tasks, whether parallel or not, and we have a dashboard that calls our attention to the problems impacting a release in real time. This is far less possible with older RO technologies until somebody checked their watch and started making phone calls.

Changing Human Thinking About RO Valuation

Now every organization dreams of a release containing nothing but virtualized full-stack deployment for every app (even the legacy ones), where everything from bottom to top is automated during the deployment process. However, some of us living in the real world, still have a few database scripts that must be run manually during a production deploy (don’t ask me why). Or pick your poison in the real world you are contending with, often infrastructure and platform tasks are the last to be fully automated.

So during a release, engineers need to be on hand and ready to go when called upon. If however, we now all subscribe to a tooling solution that acts as a common backbone for our release orchestration … the engineers know exactly when to do something, if they can do it early, and when they can go home afterwards. There is the value proposition for the engineer, less time spent doing tedious work during a weekend, when they would otherwise prefer to be at home.

The value proposition to the release manager is real-time insights into all this activity during a release. The automated tasks flow through just as you would expect them to, with up-to-the-minute status of their progress until completion is reached. The remaining manual tasks provide as-good-as-it-gets status updates, also in real time, and serve as the next target of opportunity for automation prior to future release(s).

Changing Human Thinking About RO Perspective

One thing that always seems to be missing from a number of vendor’s offerings I have reviewed in the release orchestration marketplace, is a view from human centricity. Most release orchestration tooling is obsessed with task management, integrating it with calendar scheduling and designing it for maximum efficiency in getting the next step done. If however, our vendor community would embrace the idea of intelligent calendaring a bit more (a future article will discuss this characteristic more in detail), the offerings could form a more human-centric view of the release orchestration process.

Imagine what it would be like for either an engineer or a change manager to log in to the release orchestration toolset and have a personalized dashboard outlining the tasks that need to be approved, worked on or completed to support the all pending releases for that user (based on integrated workflow and intelligent scheduling). An automated red-yellow-green attention draw, for work that may be behind, on schedule or completed early, would greatly improve the human experience of release orchestration. And an integrated departmental or team-focused view of the work effort from manager or employee-centric views would add to job performance critiques—proof of superior, or inferior performances over time.

This represents only a simple recognition that humans should not be stuck in the machine of release orchestration tooling, slave-to-a-machine-centric view of actions to be completed. Instead, a vendor could recalibrate a more human perspective—a subtle alteration in perspective adds an exponential lift to the value of this release orchestration toolset, and it seems to me, any vendor could be there first … if they wanted to.

To continue the conversation, feel free to contact me …

Filed Under: Enterprise DevOps Tagged With: architecture, automation, enterprise devops, Features, Release Orchestration, RO, testing

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