Implementing a CI/CD pipeline and then employing best practices is usually a win-win combination when it comes to productivity, cost-efficiency, and security. However, there are certain factors that can result in flawed integration, testing, and unreliable security footprint.
Let’s examine those potential CI/CD pitfalls and how you can avoid them in production.
Validation
Continuous integration mechanisms can have multiple builds deployed at a particular point in time. To ensure a stable build without any code quality issues, an effective validation methodology, such as white or black box testing, is required to track failure areas. A validation framework will seamlessly integrate code commits, automating the CI system and reducing the overhead for detecting issues.
Rollbacks
Implementing rollback mechanisms is an important aspect to consider when building a successful CI/CD pipeline. They provide options to restore to a previous change/state in case of a disaster or code failure. Typically, rollbacks re-deploy older releases to safeguard the Kubernetes cluster in the production.
Automated Testing
In a continuous delivery (CD) pipeline, automated testing plays a crucial role in streamlining the software delivery lifecycle. Without an automated workflow, randomized unplanned testing can give rise to inefficient builds affecting the code readability and maintainability in production.