Continuous Delivery Maturity Models

Shift-left security strategy and little to no automation, so all testing is done manually. Eric Minick is a lead consultant at UrbanCode where he helps customers implement continuous delivery. Eric has been at the forefront of Continuous Integration and Delivery for 8+ years as a developer, tester and consultant.

How mature are your Continuous Delivery and Release practices? Where can you get the most improvement based on your specific problems and needs? In recent years the role of automation in software development has expanded dramatically.

How to Recognize If You’re at This Level

The first step to achieve Continuous Delivery is Continuous Integration. Continuous Integration is the art of integrating different sources into a single outcome and evaluate if the combination of changes work without issues. First one is Initial where Dev and Ops are separately handled. Second phase is Managed where the agility is imbued in Development element and automation is started in the Ops element.

By now, most organizations will have achieved some level of DevOps implementation in their software journey. By the optimization phase, the organization is fully on-board and owns solid DevOps processes and culture. This stage is about optimizing your DevOps, improving CI/CD, and enhancing performance based on data. There are no longer team silos, and the achievements are visible.


In this category we will describe a logical maturity progression to give structure and understanding to the different parts and levels it includes. DevOps is not just continuous integration and continuous delivery (CI/CD) but a much broader strategy. In addition to CI/CD, culture, testing, architecture, collaboration, and build process, are several other fundamental areas for DevOps maturity that you must focus on when adopting a DevOps approach in your organization. Tricentis products help accelerate testing of all your applications, data, and business processes and integrate with tools across your delivery pipeline. To maintain a consistent release train, the team must automate test suites that verify software quality and use parallel deployment environments for software versions.

continuous delivery maturity model

Today on the podcast, Wes Reisz speaks with Kaiser about why she feels these three approaches to dealing with software complexity are so complementary. AIOps – The need for AIOps has arisen out of the ever-increasing complexity and scale of IT Operations. You surely must have completed your DevOps journey by this point… The reality is there really is no end to the path towards DevOps maturity.

Build & Deploy

The application is built only once, using a dedicated server, and the output artifact can be deployed without the need to rebuild for each different environment. Each artifact is tagged and versioned so the build can be traced across the pipeline. With every build run, metrics are gathered and analyzed so the process can be improved. Their process is well-defined, and everyone understands not only their role but also which steps to take to improve their performance in that role. Every day is a new opportunity to do things a little bit better. Being at this level can also lead to a feeling of frustration, as technical teams have far more metric data than management.

continuous delivery maturity model

Nowadays Terraform is one of the pioneer tools used to manage modern infrastructure. DevOps transformation, automation, data, and metrics are my preferred areas. Here is another attempt to the maturity model that picks the best pieces from each of those. The model explains different stages and helps teams to improve by moving from a lower stage to a higher one.

DevOps is about continuous improvement, and with each new day, DevOps continues to evolve. Many organizations are now releasing code to production weekly, daily, or even hourly. As a result, testing and maintenance need to be performed much more quickly to maintain the desired cadence. All deployment environments and dev boxes are production-like and live only while required by creating them on-demand and automatically, including all required adjustments.

All teams throughout the organization understand and operate according to DevOps practices, and automation replaces all manual processes. During this phase, agile performance metrics get implemented, and results get measured with feedback taken into account. In addition, the product-oriented approach overtakes project-oriented thinking, and security team members are also a part of the product team.

Andreas Rehn is an Enterprise Architect and a strong advocate for Continuous Delivery, DevOps, Agile and Lean methods in systems development. 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. Many organizations in the software industry have fallen into a state where they have set processes that are used across the organization and teams. Every team is not the same, so why are their processes all the same? In this article we’re going to explore what it can mean for teams to have individualized processes that are formed by the context of the work they are doing and of the team itself.

Developers face numerous struggles trying to perform traditional, end-to-end integration testing on microservices. For greater API security and clearer boundaries for developers, experts at API World called for developer-focused security tools … After making any javascript or css changes, optimize the project using RequireJS Optimizer. Optimizer combines related scripts ci cd maturity model together into build layers and minifies them via UglifyJS . Continuous Delivery is the ability to get changes of all types—including new features, configuration changes, bug fixes and experiments—into production, or into the hands of users, safely and quickly in a sustainable way. Schedule a demo with one of our specialists and start improving your devops practices.

However, it is also important to constantly increase the test-coverage of the application to build up the confidence in speed with frequent releases. Usually test involves verifying expected functionality according to requirements in different ways but we also want to emphasize the importance of verifying the expected business value of released features. Expert practices will include zero touch continuous deployment to production where every commit can potentially make it all the way to production automatically. At the advanced level you will have split the entire system into self contained components and adopted a strict api-based approach to inter-communication so that each component can be deployed and released individually. With a mature component based architecture, where every component is a self-contained releasable unit with business value, you can achieve small and frequent releases and extremely short release cycles.

DevOps with Clarive

On the other hand some companies need greater central control over the build and release process across their enterprise development groups. These tests are especially valuable when working in a highly component based architecture or when good complete integration tests are difficult to implement or too slow to run frequently. At this level you will most likely start to look at gradually automating parts of the acceptance testing. While integration tests are component specific, acceptance tests typically span over several components and across multiple systems.

The definition of done must also be extended from release to sometime later when business has analyzed the effects of the released feature or change.. Advanced practices include fully automatic acceptance tests and maybe also generating structured acceptance criteria directly from requirements with e.g. specification by example and domains specific languages. If you correlate test coverage with change traceability you can start practicing risk based testing for better value of manual exploratory testing.

  • The application is built to be fully configurable and easily adaptable, by modifying the data file (js/data/data_radar.js).
  • These are questions that inevitably will come up when you start looking at implementing Continuous Delivery.
  • This maturity model will give you a starting point and a base for planning the transformation of the company towards Continuous Delivery.
  • More often than not, they find that this means they fall flat on their faces.
  • How are your doing in your journey into continuous delivery bliss?
  • This stage is about optimizing your DevOps, improving CI/CD, and enhancing performance based on data.

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. Ideally, teams at this level start to involve compliance teams directly in the planning process. Insecure and non-compliant code never makes it into the software at all. The operations team continues to work to fully automate their continuous integration pipeline, ironing out every need for manual intervention.

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Our agile product development solutions advance innovation and drive powerful business outcomes. 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. There are a number of facets common to every mature DevOps culture.

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Now that they’ve started collecting metrics about their team and software performance, teams should critically evaluate those metrics to see which are working well and discard those that don’t. Operations teams should be constantly identifying new ways to automate troublesome manual steps in the deployment process. Engineers should continue to create more and better automated tests.

Rapid Development

Every company is unique and has its own specific challenges when it comes to changing the way things work, like implementing Continuous Delivery. This maturity model will give you a starting point and a base for planning the transformation of the company towards Continuous Delivery. After evaluating your organization according to the model you need to set the goals and identify which practices will give your organization the best outcomes. If there are practices you do not want to adopt you need to analyse the consequences of excluding them. It is also important to decide on an implementation strategy, you can e.g. start small using slack in the existing process to improve one thing at a time.

competition? Adopting a holistic approach to change and continuous

But despite the challenging situation, adopting the DevOps approach ultimately pays off. For instance, one such major challenge is siloed data and operations. That is because shared information and processes for the development, operations, and security teams are compulsory to acquire DevOps maturity.

Shift Left Testing: 6 Essentials for Successful Implementation

Organizations at this level will often deploy code multiple times per day. That’s in contrast to teams at level 1, who deploy once or twice per quarter. While that data is valuable, most members of the team don’t really know what to do with it yet. It’s likely that the project management office still thinks of software releases as big projects. Groups of disparate, unrelated features are bundled together into big projects because releases are still a major event and customers won’t wait for another release. The concept of a minimum viable release is still foreign, and the result continues to be lengthy quality assurance and compliance timelines.

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