Embracing DevOps principles and culture is key to keeping pace with cloud-native competitors. That’s why one of the concluding recommendations is to build the governance model, processes, and culture for DevOps. So, what should your governance model look like? What are the key considerations for ensuring that your move to greater automation and a DevOps culture truly deliver on the promise of agility, scalability and speed?

Your governance model should be structured around the following six components:

  • Automating for Compliance by Design
  • Automated Insights
  • Continuous Monitoring
  • Automated Provisioning – based on Cloud Design Principles
  • Integrated Continuous Integration/Continuous Delivery (CI/CD)
  • Enhancing the Cloud Ops Governance Team


Use all the DevOps services or choose just what you need to complement your existing workflows:

  • Azure Board: Deliver value to your users faster using proven agile tools to plan, track, and discuss work across your teams.
  • Azure Pipelines: Build, test, and deploy with CI/CD that works with any language, platform, and cloud. Connect to GitHub or any other Git provider and deploy continuously.
  • Azure Repos: Get unlimited, cloud-hosted private Git repos and collaborate to build better code with pull requests and advanced file management.
  • Azure Test Plans: Test and ship with confidence using manual and exploratory testing tools.
  • Azure Artifacts: Create, host, and share packages with your team, and add artifacts to your CI/CD pipelines with a single click.


In a world of nightly or weekend regression runs, the volume of testing has increased substantially. And with this increased volume of testing comes the need for test automation. DevOps can simply not succeed if it still requires a large number of test cases to be run manually.

With DevOps, quality becomes everybody’s concern.

Test automation is a tough skill to acquire. It’s technically complex and the main pitfall for the majority of DevOps projects. A test automation engineer needs to have a good understanding of not only application functionality but the underlying technical landscape, test automation tools, and how scripts can be created in parallel with development. They also need to know how scripts can be executed with the help of CI/CD tools and collaborate well with both development and operations.

development and test automation engineers need to work together to help the automation tester to develop test scripts and maximize the test coverage. These scripts and code, supported by CI/CD tools, are used to generate builds automatically, deploy them and test them.


Continuous delivery is a series of practices designed to ensure that code can be rapidly and safely deployed to production by delivering every change to a production-like environment and ensuring business applications and services function as expected through rigorous automated testing. Since every change is delivered to a staging environment using complete automation, you can have confidence the application can be deployed to production with a push of a button when the business is ready.

Continuous deployment is the next step of continuous delivery: Every change that passes the automated tests is deployed to production automatically. Continuous deployment should be the goal of most companies that are not constrained by regulatory or other requirements.


Is your organization ready to make the shift from a more traditional method like Waterfall to DevOps, Scrum, or Kanban?

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