The ability to observe several Custom Resource Definition (CRD) modifications using a unified mechanism represents a powerful optimization technique in Kubernetes controller development. Traditionally, each CRD would necessitate a dedicated watcher, consuming resources and increasing management overhead. This centralized approach consolidates these individual processes into a single, efficient system.
Employing a shared informer for multiple CRDs offers benefits such as reduced resource consumption within the Kubernetes cluster, simplified code management, and improved scalability for controllers that manage a large number of custom resources. Prior to its adoption, controller implementations often struggled with the complexities of managing numerous independent informers, particularly as the number of CRDs under management increased. This approach provides a more streamlined and efficient alternative.
