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The Continuous Delivery Maturity Model

All teams need some form of build automation whether they use shell scripts or dedicated build scripting frameworks like Maven, Ant, VBScript or MSBuild. In this environment the team will track changes to the build process as well as changes to source code and dependencies. Modifying the build process requires approval, so access to the official build machines and build server configuration is restricted. In the report, 75% report using or intending to use these tools to improve their operations process. Our team of highly-skilled professionals and the Opsera platform can empower you to deliver smart software solutions faster and safer. Customize and automate any CI/CD toolchain, build declarative pipelines, and view unified analytics and logs across your entire software delivery process.

Feature flagging, so that new features can be turned on and off, or controlled to a subset of users. This should at least tell you if your application can be loaded by the hosting environment and can load the start page. If you have a good Continuous Integration process in place, you can start using the generated artefact to deploy that to an environment as the next state of enlightenment in your DevOps continuous delivery maturity model way of working. This requires the teams to abolish silos and work as cross-functional teams. JCGs serve the Java, SOA, Agile and Telecom communities with daily news written by domain experts, articles, tutorials, reviews, announcements, code snippets and open source projects. Ways you can improve your organization’s performance against DORA metrics to achieve faster and more agile deployments.

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The work the organization does is sliced up to smaller batches, so it may be released frequently. The organization has a good understanding of the flow of work from the business all the way through to customers, and makes this flow of work visible to everyone in the org. QCon London brings together the world’s most innovative senior software engineers across multiple domains to share their real-world implementation of emerging trends and practices. Your maturity model creates a spectrum upon which organizations can place themselves, as well as set a target for the future. Tobias Palmborg, Believes that Continuous Delivery describes the vision that scrum, XP and the agile manifesto once set out to be. Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd.

continuous delivery maturity model

The levels are not strict and mandatory stages that needs to be passed in sequence, but rather should serve as a base for evaluation and planning. Continuous Delivery is all about seeing the big picture, to consider all aspects that affect the ability to develop and release your software. For any non-trivial business of reasonable size this will unfortunately include quite a lot of steps and activities. These are questions that inevitably will come up when you start looking at implementing Continuous Delivery. Download our Free DevOps guide where we discuss the benefits and common challenges experienced with DevOps or contact us. Serverless Architectures – Reduces the maintenance of infrastructure and allows the use of more flexible and reliable practices, with increased agility and reduced TCO.

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The CMMI Institute also included more information on how to demonstrate ROI, so leaders can get other executives on board. Performance benchmarks and goals outlined in the CMMI can help businesses ensure all projects and processes are cost-effective or profitable. The CMMI was developed by the Software Engineering Institute at Carnegie Mellon University as a process improvement tool for projects, divisions, or organizations.

  • It might be time to check in on how your teams are doing and identify areas for improvement.
  • If a system is built with continuous delivery principles and a rapid release mind set from the beginning, the journey will be much smoother.
  • The purpose of the maturity model is to highlight these five essential categories, and to give you an understanding of how mature your company is.
  • ” How do you start with Continuous Delivery, and how do you transform your organization to ensure sustainable results.
  • In this category we want to show the importance of handling this information correctly when adopting Continuous Delivery.

Modules give a better structure for development, build and deployment but are typically not individually releasable like components. Doing this will also naturally drive an API managed approach to describe internal dependencies and also influence applying a structured approach to manage 3rd party libraries. To ensure repeatability and control, database changes are done through code or scripts stored in version control, fully automated, versioned, and performed as part of the deployment process.

As already evident, there are countless axes that you can focus on in assessing your DevOps journey. Continuous Integration integrates the new/changed code into the current system after each check-in without any manual steps. This can be realized by using a workflow orchestrator such as Jenkins or VSTS where you can configure a pipeline to do that for you. Best practices for Continuous Integration are having a build that can be used for all environments and using a microservice architecture. In the most ideal situation you want to automatically up- and down-scale the continuous integration services based on how much you are using them. This release however is still a manual process and require an explicit push of a button.

To excel in ‘flow’ teams need to make work visible across all teams, limit work in progress, and reduce handoffs to start thinking as a system, not a silo. Build and deployment is of course core to Continuous Delivery and this is where a lot of tools and automation come into the pipeline; this is what is most is commonly perceived when Continuous Delivery is discussed. In this category we will describe a logical maturity progression to give structure and understanding to the different parts and levels it includes. Prior to this role, Jiani was the General Manager of Industrial Sector for Persistent Systems. Jiani has extensive experience in management consulting, marketing, product development and technology management. She also holds expertise in building and growing a business with P&L responsibility and leading teams in business strategy, offering & product development, go-to-market, and sales execution.

Dev and ops teams use a common set of tools but don’t have visibility into each others’ work. In applying better accountability, your teams take the correct step to view product development questions and answers, and testing more seriously, which leads to better processing and business decisions. All changes (code, configuration, environments, etc.) triggers the feedback mechanisms.

Performance, incorporate that in your change management process, and iterate on changes rapidly. The problem is not that the testing is inherently faulty, it’s that testing remains an afterthought for so many project managers, developers, and product managers. Most software testing approaches are failing to keep pace with advancements in software development. And yet, paradoxically, the importance of testing continues to increase as software becomes more complex. How to improve your test automation maturity model within a development pipeline, and why adding machine learning can improve your automation suite?


InfoQ Live August Learn how cloud architectures help organizations take care of application and cloud security, observability, availability and elasticity. A team at this level has largely committed to their DevOps journey but may not be seeing promised returns yet. Some changes have certainly improved things for the team, but some feel like a lot of busy work for little gain. Your DevOps journey will never end, and in fact, to maintain DevOps maturity you will need to constantly find ways to optimize your processes. Lack of expertise, poor training, and several other challenges could lead to the inefficient implementation of CI/CD pipelines.

Feature “kill switches” provide the safety of turning off any buggy features without having to redeploy code. Testing in production gives QA teams increased confidence that the code will perform as intended in real environments. Finally, providing the shipping granularity for end users based on their certain characteristics allows for increased testing or rollout granularity, experimentation and customization. Teams’ focus can move beyond moving bits from different target environments to growing customer value, with shared visibility and governance across Dev and Ops along the way.

Culture & Organization

NISI has recently released the Continuous Delivery 3.0 maturity model, or CD3M. The Maturity Model guides the improvements of Continuous Delivery pipelines and/or software development processes in software organizations. The CD3M maturity model has five levels from Foundation level towards Expert level .

continuous delivery maturity model

Teams, for example, can use dashboards during stand-ups to guide the day’s work. They can also use business performance dashboards as a single source of truth for broader observation about your business as a whole. As your DevOps team matures, it will steadily increase the speed and rate of deployments.


If you’ve been practicing DevOps for a while, it might be time to assess your maturity level. Senior developer and architect with experience in operations of large system. Strong believer that Continuous Delivery and DevOps is the natural step in the evolution of Agile and Lean movement. Wants to change the way we look at systems development today, moving it to the next level where we focus more time on developing features than doing manually repetitive tasks.

Continuous Integration And The Release Maturity Model

Multiple processes are consolidated and all changes, bugs, new features, emergency fixes, etc, follow the same path to production. We believe in a more productive future, where Agile, Product and Cloud meet and process and technology converge for better business results and increased speed to market. The goal of this guide is to first and foremost highlight the practices required for CD. As you continue to build out the pipeline, your team will need to collaborate more closely with other functions and start taking more responsibility for delivering your software. To do that, they need visibility of how the software performs in production and for the rest of the organization to be bought into the approach.

These teams use tools to improve software robustness, detect rare failure conditions before they affect users and automate complex big data systems. A successful on-call process depends on the composition of the team, the services they manage, and the team’s collective knowledge of the services. This is where team autonomy comes into play; for example, allowing each DevOps team to create its own on-call system, which should reflect the needs and capabilities of the team. By breaking down the quantitative performance metrics of a service or application, your DevOps team can identify the most appropriate alert type for each metric. For instance, the team could set an alert to notify on-call responders if web transaction times go above half a millisecond, or if the error rate goes higher than 0.20%.

In each maturity level a number of practices needs to be implemented to advance the CD 3.0 pipeline. At the same time, delays in delivery can result in lagging behind the competition. These factors are increasingly presenting themselves as significant business risks highlighting the importance of implementing continuous testing. To ensure rapid release cadence, there is no branching in source control, and no feature branch lives longer than a day. All changes related to the application are stored in version control, including infrastructure, configuration, and database. Releases are disconnected from deployment, and features can be hidden using flags or configuration values.

Instead of attempting to take a giant step, mature teams take many little ones. Continuous Integration is a software practice that require developers to commit their code to the main workspace, at least once, possibly several times a day. Its expected that the developers have run unit tests in their local environment before committing the source code. Whenever possible, your DevOps teams should automate tasks with CLIs and reduce toil as their development ecosystem grows by replacing manual instrumentation with an automated setup. Unit tests tell you about the health of your codebase and enable your development teams to achieve quick wins. Fostering collaboration in this manner also mitigates the risk of friction.

Instead of having a separate process, disaster recovery is simply done by pushing out the last release from the pipeline like any other release. This together with virtualization gives extreme flexibility in setting up test and production environments with minimum manual effort. Using the DevOps maturity model, you can identify your organization’s strengths and weaknesses and focus your training on key areas that need improvement, allowing you to more easily advance to the next level. Before diving into the levels of the DevOps maturity model, let’s examine the key tenets of DevOps that all mature organizations have in common, so you can better gauge where you stand. By this point, compliance and quality assurance are so built into the development process that they sign off on code shortly after it’s written. An extensive, high-quality suite of tests means that deployments happen very soon after code has been finished.

SLOs are also a powerful mechanism for codifying the goals of your DevOps team and helping the team to achieve greater velocity. By focusing on metrics like the Four Golden Signals, you’ll get proof of measurable improvements that you can share throughout your organization to gain momentum on your DevOps journey. In today’s software landscape, organizations large and small are under constant pressure to modernize their practices—to break down their monoliths, automate their pipelines, and reduce overall toil. To get there, most shift to a DevOps practice, but it’s a rare team that can complete this journey on its own. The tools and technology your teams use can drive better automation and collaboration between teams. In DevOps assessment, adapting more responsibility for building and maintaining the services that are created and offered is paramount.

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