Both local and cloud software infrastructure should have monitoring, maintenance, and improvement. At first, we will have an initial discussion of the main project requirement. We will create and reconcile a plan for the software development cycle (SDLC) with you as a business or product owner.

But the planning process doesn’t end there. It will be repeated periodically in the future between the feedback loop and the new delivery pipeline. It aims to shorten the systems development life cycle, automate deployment, track and fix bugs in real-time, and provide continuous and faster delivery with high-quality software.

Here we assess project milestones, the need of reassigning the load, configuration architecture, security recommendations, database layers, DevOps services, automation types. Further DevOps tasks and processes depend on this stage.

Here engineers design the solution, a secure automation environment for continuous solution development and integration. After the solution architecture stage, we will work with one DevOps automation pipeline:

• CI pipeline. Continuous integration pipeline provides full version control. New versions of the code are initially integrated into the test version of the application and run integration tests.
• CD pipeline. If your project hasn’t many risks and could be covered with autotests, we will choose a continuous delivery pipeline. This scenario is typical for a cloud application.
• Combine CI/CD pipelines for the best results.

All code versions are carefully stored with special tools. It helps quickly improve the solution after deployment and monitoring at the next delivery time.

At this stage, there is a consistent build-out in your environment. We take elements from different repositories and combine them to build a complete solution.

DevOps engineers ensure the quality of implementing solution elements using automation testing tools, pull requests, and code review. If there are some performance, usage, or integration issues, they deliver correction requirements. The cycle of running automated and manual (if required) tests will repeat until the issue is fixed.

When the testing stage is passed, new features are integrated automatically into the already existing architecture. We package the solution and deploy it from the development server to the production server.

Once the solution is deployed, an operations team performs activities such as configuring servers and provisioning them with the required resources.

We monitor the entire solution environment. It allows us to identify specific issues of specific releases and understand the impact on end-users. So, we collect needed insights, enter this information in reports and move back to the planning stage.