The Continuous Delivery Maturity Model

The Continuous Delivery Maturity Model

In this article, we’ll look at how to use the gin framework to create a simple Go application. We will also learn how to use CircleCI, a continuous deployment tool, to automate testing and deployment. Its adoption is also well understood to be fundamental before beginning a DevOps initiative. Some might say it is the best proxy for measuring the entire DevOps initiative.

continuous delivery maturity model

A better understanding of process and automation, followed by continuous improvement. You need to find the best architecture that complements your DevOps maturity goals and requirements, as no architecture equally suits all the DevOps environments and infrastructure. To determine the DevOps maturity of an organization, there is a set of parameters that you need to measure. These parameters are important to identify which direction the organization is heading in the long run to implement DevOps. It consists of assessing all current capabilities, identifying areas of opportunity, and creating a step-by-step plan for achieving DevOps. As you are now aware of the fundamental principles required for DevOps maturity, the next step is to determine your organization’s current position and which level to ascend to.

As organizations progress in DevOps journey, the competitive edge becomes a pressing demand calling for faster release cycles and digital innovation demands a strong pitch. 3) DevOps Maturity by Infrastructure – Determines DevOps maturity by ability to ease infrastructure using capabilities around automation, streamlining and enabling self-service to provision environments, among other tasks. Collaboration is one of the most crucial aspects of DevOps maturity that requires understanding each team member’s role and sharing the tools and resources available to reach a common objective.

What is Continuous Deployment?

These tests give both the engineering and QA teams more confidence that code does what it says and doesn’t break anything. Another characteristic of advanced continuous delivery maturity is the use of quantitative measures of software performance and quality, along with metrics that track the health and consistency of the CD process. Identify and monitor key performance indicators for better control over software acceptance and rollback criteria in test and in live production. For example, continually monitored application performance KPIs enable an CD system to automatically roll back a release that exhibits problems in production.

Evolving DevOps to Enable Quality at Speed Software –

Evolving DevOps to Enable Quality at Speed Software.

Posted: Wed, 26 Oct 2022 10:04:18 GMT [source]

With this model we aim to be broader, to extend the concept beyond automation and spotlight all the key aspects you need to consider for a successful Continuous Delivery implementation across the entire organization. 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. It is best practice to try to automate the build and testing processes in order to find bugs early and not waste time with needless manual activities. However, it is important to have a well-defined process before automating. Automating an undefined or non-optimal process will only further exacerbate any inherent flaws in the process. Also, the pipeline must also be designed to be scalable over time so that new features and requirements in the automated build process can be added transparently.

You can also use continuous feedback from production to inform hypothesis-driven development . Moving to intermediate the level of automation requires you to establish a common information model that standardizes the meaning of concepts and how they are connected. This model will typically give answers to questions like; what is a component? Automatic reporting and feedback on events is implemented and at this level it will also become natural to store historical reports connected to e.g. builds or other events. This gives management crucial information to make good decisions on how to adjust the process and optimize for e.g. flow and capacity.

Taking your DevOps strategy to the next level

The Integration happened closer to production and any failure is now expensive to fix. Each of these Continuous Delivery maturity models mentioned define their own maturity levels. For example, Base, Beginner, Intermediate, Advanced, Expert are used by InfoQ. ThoughtWorks uses CMMI-Dev maturity levels but does not segregate them into different areas. Maturity Models allow a team or organization to assess its methods and process against a clearly defined benchmark.

Service virtualization is leveraged for testing components that are unavailable or difficult to access for development purposes. Applications are architected as products, instead of solutions for projects. The testing team does not need to wait until the end of sprint/release to verify quality.

Systematically Evolving an Organization’s Infrastructure

Continuous Deployment – Continuous deployment goes one step further than continuous delivery, with each build forgoes a manual check, and is automatically pushed to production. This has the potential to greatly accelerate the delivery of features to end-users. Continuous deployment also frees up developers’ valuable time by eliminating yet another layer of manual testing. However, this approach carries significant risk if adequate testing is not in place.

  • Feedback on database performance and deployment for each release.
  • Continuous Delivery presents a compelling vision of builds that are automatically deployed and tested until ready for production.
  • What tools did you have in mind to “[…] provide dynamic self-service useful information and customized dashboards.”
  • Because of this, it also requires proper communication and planning.

Former Head of Development at one of europes largest online gaming company. Tobias is currently implementing Continuous Delivery projects at several customers. Susanne Kaiser is a software consultant working ci cd maturity model with teams on microservice adoption. Recently, she’s brought together Domain-Driven Design, Wardley Mapping, and Team Topologies into a conversation about helping teams adopt a fast flow of change.

Hosting Project

Instead, they receive new code from developers or QA with little knowledge of how it works or how it to deploy it. Then they’re on the hook for trying to fit it into the rest of the system. An operations employee might need to touch dozens of individual servers to make sure they work with the new code. These teams use tools to improve software robustness, detect rare failure conditions before they affect users and automate complex big data systems.

continuous delivery maturity model

DevOps is considered by most to be a cultural shift rather than a technological one. Enabling the benefits of DevOps requires deep collaboration across functions, as well as a pervasive mentality that embraces rapid failure. Most importantly, getting buy-in from all stakeholders is critical to ensure that the transition isn’t perceived as negative or purposefully sabotaged by members of the organization. In short, changes at this level are ones of refinement, not tectonic shifts.

Must-Have Steps for Production Debugging in Any Language

If you have a continuous integration pipeline, you’re a DevOps organization. Eventually, organizations will have to make security an integral part of their DevOps process and take it closer to all application development stages. This is the most critical aspect of principles of DevOps culture.

The model outlines a framework where you rate yourself on a scale of 0 to 3 under various parameters such as Build, Deploy, test and database. The last step is Continuous Deployment where part of the product can reach customers as soon as the it is deemed fit. This prompted us to not just fix what was broken but to introduce a new paradigm to deployment – Continuous Deployment. More such benefits of DevOps are part of the Maturity model that gives you the ability to witness the full DevOps potential. DevOps Maturity Model is a conceptual model that determines where an organization stands in the DevOps course, which direction it is heading, and decides what you need to do to achieve desired outcomes.

This Maturity Model aims to give structure and understanding to some of the key aspects you need to consider when adopting Continuous Delivery in your organization. Edge Computing – The edge offers several advantages–cost savings, low latency, improved security protections, and real-time access to accurate information. Organizations adopting this approach will need to find a way to extend DevOps to the edge. The application is designed to easily extract sanitized production data.

Zero to One and Beyond: HackerEarth’s journey to Continuous Delivery

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. Moving to beginner level, teams stabilize over projects and the organization has typically begun to remove boundaries by including test with development. Multiple backlogs are naturally consolidated into one per team and basic agile methods are adopted which gives stronger teams that share the pain when bad things happen. That said, there are some trends and technologies on the horizon that will extend the current scope and capabilities of DevOps. This will continue to push your organization to keep pace or phase out. The list of processes below represents an extremely high level of maturity in your continuous testing capabilities and will ensure you are achieving the maximum value DevOps can offer.

In the IT world, the best known of these is the capability maturity model , a five-level evolutionary path of increasingly organized and systematically more mature software development processes. Moving to expert level in this category typically includes improving the real time information service to provide dynamic self-service useful information and customized dashboards. As a result of this you can also start cross referencing and correlating reports and metrics across different organizational boundaries,. This information lets you broaden the perspective for continuous improvement and more easy verify expected business results from changes.

Infrastructure as Code Maturity Model

Unless you know what is broken, you can never be sure when is fixed. There are many methods to assess where you stand in your journey towards continuous delivery. We built our self assessment based on the maturity model laid by Jez Humble in his book Continuous Delivery. Continuous testing involves performing tests at each stage of the software development life cycle to continuously identify and eliminate errors at the earliest possible stage. It is crucial to automate the testing and constantly evaluate and validate the test coverage to achieve perfect harmony between speed and accuracy in deployments.

At a base level you will have a code base that is version controlled and scripted builds are run regularly on a dedicated build server. The deployment process is manual or semi-manual with some parts scripted and rudimentarily documented in some way. At the intermediate level you will achieve more extended team collaboration when e.g. DBA, CM and Operations are beginning to be a part of the team or at least frequently consulted by the team. Multiple processes are consolidated and all changes, bugs, new features, emergency fixes, etc, follow the same path to production.

Enjoy access to millions of ebooks, audiobooks, magazines, and more from Scribd. Deploying is the core of how you release your application changes. In this blog post, we will be exposing maturity level checklists for different DevOps areas so you have an idea where you at in terms of Continuous Delivery.

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