Heads up everybody, there’s a new kid in the software development industry, and its name is DevOps. With its faster time to market, fewer bugs in production, and improved customer satisfaction, DevOps is leaving all other methodologies in the dust.
And with 83% of businesses incorporating DevOps practices in their software journey, the trend is on the up and up. However, many organizations still struggle to implement DevOps effectively, missing out on its full potential.
Here’s where the DevOps Maturity Model comes into play. The DevOps Maturity Model provides a roadmap for organizations to follow in improving their DevOps practices, evaluating the development of the DevOps model along the way.
And here at Instatus, we’ve unraveled the DevOps Maturity Model for you. We’ll explore each stage of its journey, its key metrics, and how to implement it within your business. Let’s get started!
The DevOps Maturity Model is a framework that outlines the stages an organization typically goes through when adopting DevOps strategy and principles. This framework helps businesses evaluate their current level of DevOps maturity.
The model helps create a blueprint of where companies currently stand in their DevOps adoption and what’s needed to progress. As the process is ongoing, it’s necessary to view DevOps maturity as a continuous process rather than an end goal.
Additionally, it focuses on both the technical and cultural changes needed, aiming to help businesses bring their software to market more effectively, within budget, and on schedule (the words every company loves to hear).
The DevOps Maturity Model works on three levels - assessing the current level of skills, identifying growth opportunities, and charting a plan of action to achieve DevOps objectives. Here are the essential components that must be present:
The level of DevOps maturity for an application is determined by how safe and protected the code development process is, from start to finish. It’s essential to conduct thorough building, testing, and security checks, as well as tracking parts of the process that can be automated.
When measuring an organization's DevOps maturity using data, it’s critical to consider the ability of DataOps to automatically update data and verify functionality (ensuring everything is working correctly). This means teams can quickly make changes to the data used by their systems.
We can define DevOps maturity by a company’s ability to simplify infrastructure management through DevOps automation tools, streamlined processes, and self-service capabilities for creating and storing environments. Particularly when collaborating with other businesses.
The DevOps approach equips development teams with the necessary tools and processes to implement new features. And while different maturity models have varying stages and criteria, most frameworks follow a similar progression:
Even though the above stages form a complete DevOps Maturity Model, it’s imperative to keep track of your progress and evaluate maturity at every step of the DevOps lifecycle.
Measuring DevOps maturity requires evaluating cultural, technical, and process-related elements. Using key performance indicators (KPIs) can assist you in gauging the maturity level of a DevOps function.
Here are four fundamental DevOps KPIs for assessing a team’s maturity:
This KPI refers to how long it takes until something goes wrong and how often updates are causing issues. It’s a measure of the reliability of software, so if issues are constantly popping up, it could mean there is a lack of testing or fundamental issues in the code.
MTTD is the average time it takes for a team to detect an issue or incident in their system. If a team is inexperienced, it will take much longer to detect problems. This leads to difficulty in replaying events and identifying the root cause.
As you’ve probably guessed, MTTR highlights the time required to fix an issue or error. An immature team that lacks knowledge will take longer to resolve issues in comparison to a team with a high level of DevOps maturity (as they have shared the necessary know-how).
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Here, the KPI measures the reliability and average length of time between failures during software deployment and after. It’s a necessary metric for evaluating the stability of your product.
If you’re still on the fence about the significance of the DevOps Maturity Model and the assessment framework it provides, let’s take a look at its wide range of business benefits:
As you can see from the above, the DevOps Maturity Model receives feedback at every step and focuses on any specific challenges, helping organizations stay agile and flexible.
Hopefully, by now you’ll understand the business benefits of the DevOps Maturity Model, so let’s delve into what to look for in DevOps maturity. Let’s think about the following points in our DevOps Maturity Model checklist:
Recognizing that DevOps is a culture-centric program that requires cross-functional collaboration amongst diverse teams. Because of this, its approach needs a working culture where everyone operates towards a single goal.
The transition to a DevOps operating model may involve a change in a company’s working culture, which seems easy on paper yet 75% of DevOps initiatives fall short because organizations fail to adapt. It’s why the journey calls for a well-planned approach and flawless strategy.
Automation is a favorite word in DevOps culture, playing a starring role in promoting continuous delivery and deployment tools. By automating repetitive and mundane tasks, companies enhance deployment speed and streamline testing and production.
In a DevOps cycle, automation reduces the need for manual intervention, resulting in less human error while enabling teams to become more efficient and focus on more complex assignments. In a nutshell, automation facilitates faster execution.
As with any successful methodology, collaboration is the key ingredient, and DevOps maturity is no different. Regardless of location, teams must unite, leveraging tools and resources to accomplish shared aims and objectives.
For DevOps maturity assessment, transparency is key, especially in understanding individual roles. To put it simply, efficient communication ensures teams are in sync.
Today’s IT operations focus on processes that encompass the entire Software Development Life Cycle (SDLC). And in particular, DevOps culture places a significant emphasis on relevant procedures that amplify efficient operations.
In a DevOps environment, each stage follows a set of procedures that align with corporate policies and business objectives. With an effective review process, teams can analyze their history and identify what occurred during each coding stage.
Speaking of assessing code failures, while automation can significantly reduce human errors during a release, there are still risks involved with any changes deployed during production.
This risk can be assessed by evaluating how quickly teams recover from failure. The faster the recovery, the more beneficial it is to production. For instance, if issues arise after every release, it’s best to focus on recovery speed, as these problems may harm reputation.
By leveraging the DevOps Maturity Model, you can improve your workflow efficiency, reduce time to market, accelerate release cycles, enhance product quality, and increase testing accuracy, ultimately giving you a competitive advantage.
Having a clear understanding of your current position in your DevOps journey can help identify areas for improvement. Especially in today’s business landscape, where success is determined by the ability to operate at high speeds.
And as with any process, downtime is expected. This is where Instatus comes in.
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