In a DevOps environment, release management refers to the process of planning, coordinating and deploying software releases to production environments. The goal of release management is to ensure that new features, bug fixes, and enhancements are delivered to end-users in a reliable, efficient, and timely manner.
Release management is a critical component of DevOps, as it helps to ensure that software is delivered to end-users in a timely and reliable manner, while minimizing the risk of errors and downtime. So, in this article we'll cover:
Release management in software development and IT operations is a system for managing the entire software delivery lifecycle — from planning to building to testing to deployment. For both ITIL and DevOps, this is the general process. However, DevOps encourages more collaboration and visibility throughout the entire delivery process, shortening feedback loops and encouraging simpler, faster release management.
While the general concept of release management doesn’t really change across ITIL® and DevOps, the approaches different in two key ways:
Let’s look at how release management manifests itself for ITIL and DevOps teams:
The process for release management in ITIL 4 is to schedule and maintain the integrity of new deployments, all the way from planning to release. In ITIL, the IT operations team will receive code from the software developers and decide when and how to deliver the service while maintaining uptime for existing services.
In DevOps, release management is also about planning, scheduling and controlling the software development and delivery process. But, in DevOps, both developers and IT operations collaborate from the beginning of the process to the end — allowing for fewer, shorter feedback loops and faster releases.
DevOps teams share accountability for the services they deliver, own their code and take on-call responsibilities. With software developers and IT professionals involved in the entire delivery lifecycle and on-call, incidents are detected and resolved faster – both during the release process and after.
Release management involves several stages, including planning, testing, deployment and monitoring. The processes are typically broken into three phases:
Note that depending on your business model, this new piece of software may or may not go directly to the customers. In some scenarios, you might release something to production from a developer standpoint, but from a sales standpoint or aligning with a particular timeline, you might choose to wait on releasing that code to the overall user base. Or, perhaps you take a middle step, like only releasing a beta to a smaller pool of users.
With definitions clarified, let’s go over a few key DevOps philosophies and how they apply to release management best practices.
How do you know when software is ready to ship? Clear acceptance requirements in both releases and testing will to more reliable releases. The criteria for a successful release can’t be subjective. If it is, you can’t learn from your mistakes and continue to iterate on the release management process to figure out what works best.
Product owners, quality managers and release managers need to define key release metrics and agree to acceptance criteria before moving forward with any new project.
The best release managers will constantly work to reduce two significant events:
Proactive testing, active monitoring and real-time collaborative alerting can help you identify issues during a release – many times before a customer will even notice. Coupled with a collaborative incident response plan, the team can quickly resolve incidents and continue along toward a successful release.
(Understand continuous monitoring.)
Constant upkeep of the staging environment and keeping it as close as possible to your production environment can ensure for more successful releases. Everyone from product owners to QA should be combing through staging and running tests to identify any issues with a new deployment.
As long as your staging environment is nearly identical to production, you can easily find issues in staging before deploying the code to production. A well-designed staging environment will:
The shift-left idea is common in DevOps. By moving QA, automation and testing earlier in the development lifecycle, the DevOps team can identify potential issues faster. This reduces the amount of time spent in feedback loops and allows the delivery pipeline to continue moving forward.
The more you can integrate testing with development workflows, the easier it will be to maintain a consistent CI/CD pipeline.
(Learn about DevSecOps, which formally brings security into the DevOps paradigm.)
The #1 rule in DevOps? Automate anything that can improve the efficiency of your people, processes and technology.
Whether it’s on the software development, QA or IT operations side of the fence, automation should be used to reduce human error and make day-to-day operations easier for your people. Allowing your team to spend more time on strategic thinking and less time on day-to-day tasks, you’ll be able to consistently deliver reliable services to your customers.
In programming, an immutable object’s state can’t be modified once it has been created. Immutable programming causes teams to deploy entirely new configurations instead of modifying existing ones, you’ll reduce errors and bugs that could appear from changing current configurations. This causes releases to be inherently more reliable – leading to happier customers and employees.
DevOps processes naturally lead to a better release management structure — creating best practices for collaboration and testing throughout the entire delivery lifecycle. While people tend to focus on automation as the key value in DevOps, the automation should always be geared toward improving the efficiency of your people. As people reduce human error and create operational efficiency, they naturally begin to release reliable services quickly.
These DevOps release management best practices are just the starting point. As technology evolves and people continue to learn, our release management processes need to change too. The continuous improvement of people, processes and technology is essential to any successful DevOps release management structure.
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