To truly understand DevOps, we need to understand the DevOps lifecycle. The DevOps lifecycle consists of the following phases:
- Continuous development
- Continuous testing
- Continuous integration
- Continuous deployment
- Continuous monitoring
Starting the continuous development phase involves coding and planning the software. As everything is agile, developers decide on the software vision and start product coding immediately. For continuous development, developers can choose their own set of tools. For example, they can use any version control tool for managing the code.
Next comes continuous testing. Here, developers keep testing the product for bugs. To ensure efficiency during testing, teams deploy testing automation tools such as JUnit, Selenium, etc. These automation tools let developers run multiple test cases at any given time.
In continuous integration, teams focus on frequently adding source code changes. In this phase, the code goes through both unit and integration testing. Teams also focus on code review and packaging. This means a high-quality code release that adds new functionality to the product or fixes a bug(s). To achieve continuous integrations, the DevOps team use tools such as Jenkins, which fetches code from the Git repository and prepares the build around it.
The next phase is continuous deployment. In this phase, the code is deployed to production servers. Tools such as containerization tools and configuration management are used to achieve continuous deployment. Here, configuration management ensures the application’s performance and functional requirements. In other words, this ensures server deployments, configuration consistency across servers, and scheduling updates. Some popular tools include SaltStack and Ansible. As for containerization, a tool such as Docker ensures consistency across deployment environments. It is also critical to create a non-failure environment and remove any scope of bugs/errors.
With deployment done, teams need to monitor application performance continuously. In the Continuous monitoring phase, critical software data is recorded and analyzed to see if it works properly. Tools such as ELK Stack, New Relic, etc., let teams analyze and monitor bugs.