CI CD A Guide to Maturity Continuous Integration is a development by Ryan Krull Standard Bank Engineering

One of the main principles of CI/CD is to integrate changes into the primary shared repository early and often. This helps avoid costly integration problems down the line when multiple developers attempt to merge large, divergent, and conflicting changes into the main branch of the repository in preparation for release. Typically, CI/CD systems are set to monitor and test the changes committed to only one or a few branches. A primary goal of a CI/CD pipeline is to build confidence in your changes and minimize the chance of unexpected impact.

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. Decisions are decentralized to the team and component ownership is defined which gives teams the ability to build in quality and to plan for sustainable product and process improvements.

This enables developers to focus on the code, while operations focus on the underlying infrastructure. This results in an environment that is more resilient, scalable, and secure. Getting continuous testing right results in improved code quality, accelerated time-to-market, a continuous feedback mechanism, and eliminates the disconnect between development, testing, and operations. The goal of CI/CD is to deliver better quality software by preventing issues before they occur by testing earlier. This comes from the ability to identify defects and quality issues on smaller changes in code, earlier in the process.

ci cd maturity model

This helps to avoid the integration problems that can occur when multiple developers are working on different parts of the codebase. The Ci Cd maturity model is based on the premise that organizations can improve their ability to deliver software quickly and reliably by implementing CI and CD practices. The model is designed to help organizations measure their progress and identify areas where they can make improvements. The continuous delivery maturity model has five steps – base, beginner, intermediate, advanced, and expert. There are also five categories–Culture and Organization, Design and Architecture, Build and Deploy, Test and Verification, Information and Reporting. Different types can fall under various levels, although it is desirable to maintain them somewhat close to each other.

Technology drives culture

If you do not have a consolidated DevOps practice at this level, bring your future operations team in to build familiarity. Your organization is committed to decentralization and will employ “teams of teams”. Across the different levels of maturity, people will be implementing tools for automated testing, metrics and feedback. CI maturity is important because it helps to ensure the quality and effectiveness of a company’s software development process.

ci cd maturity model

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 ci cd maturity model 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.

This makes it possible to detect certain problematic changes before they block other team members. Frequently, teams start using their pipelines for deployment, but begin making exceptions when problems occur and there is pressure to resolve them quickly. Putting your fix through the pipeline (or just using the CI/CD system to rollback) will also prevent the next deployment from erasing an ad hoc hotfix that was applied directly to production. The pipeline protects the validity of your deployments regardless of whether this was a regular, planned release, or a fast fix to resolve an ongoing issue. This use of the CI/CD system is yet another reason to work to keep your pipeline fast.

Go lean with Agile & Git

3Pillar Global uses DevOps as a critical part of our digital product development. Download our Free DevOps guide where we discuss the benefits and common challenges experienced with DevOps or watch our on-demand webinar “Is DevOps Right For You?”. 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.

  • At this level you will most likely start to look at gradually automating parts of the acceptance testing.
  • Its adoption is also well understood to be fundamental before beginning a DevOps initiative.
  • 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.
  • The best way to include the whole organization in the change is to establish a solid platform with some important prerequisites that will enable the organization to evolve in the right direction.
  • At this stage it might also become necessary to scale out the build to multiple machines for parallel processing and for specific target environments.
  • Typically, CI/CD systems are set to monitor and test the changes committed to only one or a few branches.
  • In above model “Test and Verification” area talks about having automated functional tests, integration tests.

The journey that started with the Agile movement a decade ago is finally getting a strong foothold in the industry. Business leaders now have begun to embrace the fact that there is a new way of thinking about software development. IT can once again start pushing innovation instead of restraining it by expensive, slow, unpredictable and outdated processes. There are many ways to enter this new era and here we will describe a structured approach to attaining the best results.

A business leader’s guide to

Applications are architected as products, instead of solutions for projects. Migrate plan – this will vary depending on your organization, but you should have a migration plan in place. Whether that’s to migrate one application first, or several, you should have this established. Start building your secured CI-CD pipeline if you don’t have one already and don’t forget that what you are doing today with VMs will end up quite different in the future. Developers may have learned about Agile Manifesto and adopted Scrum Framework without necessarily including Operations.

ci cd maturity model

The application is designed to have imported data for testing purposes. Below we outline the architecture and design best practices that you should strive for. A report by Gartner indicated that by 2022, three-quarters of DevOps initiatives will fail to meet expectations due to an organization’s inability to resolve issues around organizational and cultural change.

DevOps Maturity Model – Assess & Monitor your DevOps journey

CI/CD pipelines help shepherd changes through automated testing cycles, out to staging environments, and finally to production. The more comprehensive your testing pipelines are, the more confident you can be that changes won’t introduce unforeseen side effects into your production deployment. However, since each change must go through this process, keeping your pipelines fast and dependable is incredibly important. By plotting where you and your team sit against each of the pillars, you can also identify any areas that need more investment to bring you up to par before you start progressing to the next stage. Finally, sharing a maturity model with business stakeholders will also help to set reasonable expectations and communicate the benefits derived from CI/CD without reaching expert levels. Using a continuous deliverymaturity model can facilitate discussions on what you want to achieve with CI/CD and will help you map out a step-by-step approach to implementing the various elements.

ci cd maturity model

A basic delivery pipeline is in place covering all the stages from source control to production. The result is a system that is totally reproducible from source control, from the O/S and all the way up to application. Doing this enables you to reduce a lot of complexity and cost in other tools and techniques for e.g. disaster recovery that serves to ensure that the production environment is reproducible. 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. At the advanced level, the team will have the competence and confidence it needs to be responsible for changes all the way to production.

Amplify feedback for faster resolution

It might be time to check in on how your teams are doing and identify areas for improvement. 19% of respondents in your category said they deploy code to production weekly. Another way to excel in ‘flow’ is by moving to distributed version control systems like Git, which is all about quick iterations, branching and merging – all things you need in a lean DevOps environment.Learn more here. The first step in moving to DevOps is to pull from agile principles – people first, then process and tools. The DevOps Maturity Model allows you to view DevOps practices in a new light. Let’s examine the role of this model in bringing about a change, be it gaining the right perspective on DevOps practices or using them optimally.

Maturity and beyond

A company that is at a low level of CI maturity is likely to experience problems with quality and delivery. By contrast, a company that is at a high level of CI maturity is likely to have a more streamlined and efficient software development process. We’ve put together a high-level CI / CD Maturity guide to help with these challenges.

We see DevOps as a lifecycle with each phase flowing into the other to break down silos and inform key stakeholders along the way. You plan the work, then build it, continuously integrate it, deploy it, finally support the end product and provide feedback back into the system. Building an automated delivery pipeline doesn’t have to happen overnight.

There are some straightforward steps you can take to improve speed, like scaling out your CI/CD infrastructure and optimizing tests. However, as time goes on, you may be forced to make critical decisions about the relative value of different tests and the stage or order where they are run. Sometimes, paring down your test suite by removing tests with low value or with indeterminate conclusions is the smartest way to maintain the speed required by a heavily used pipelines.

DevOps Maturity is a pattern that establishes the position of an organization in the DevOps process, and by extension, also determines what more needs to be done to achieve certain pre-defined, aspired outcomes. Embracing DevOps as a continuous journey and not a destination is crucial to attaining DevOps maturity. DevOps has transformed the way the IT industry operates by redefining the paradigms of workflow and method chain. As DevOps enters its second decade, the scope and focus of its application are expanding well beyond product delivery. One of the major impediments in any organization’s DevOps transition is the outlook of using it as a goal or a destination.