Monitoring pipelines with AIOps

In this section, we will study AI-driven technology that will help developers in monitoring and improving their CI/CD pipelines. Let's recap on the principle of a pipeline first. A pipeline should be seen as a workflow: it guides code through a process where it's tested and eventually deployed to a platform. Following this process, code will be pushed to different levels in the promotion path: development, testing, acceptance, and production. This process can be automated.

At the start of this process, and thus the pipeline, there is a repository where the various components of systems are stored. Since everything is code, the repository will hold code for applications, infrastructure components, configuration templates, and scripts to launch APIs. While building a system through a pipeline, DevOps software will make sure that the appropriate components are pulled from the repository and compiled into packages that can be deployed. A common...