Kubernetes Controller

Kubernetes Controllers are ideal for managing stateless apps and maintaining the correct number of copies, It specify what the cluster should perform by creating and deploying YAML manifests. Controllers increase steady-state accuracy by reducing steady-state errors. As steady-state precision increases, so does stability.

Controllers are in charge of monitoring the cluster’s resources, determining whether they have deviated from the defined state, and making any required changes to bring them back into harmony. They are completely automated components that operate without human involvement.

When to use Kubernetes Controller

One Kubernetes resource type at a time is tracked by a controller. A spec field on these objects indicates the intended state. The task of bringing the present state closer to the intended state falls to the controller or controllers in charge of that resource.
In Kubernetes, a controller often sends messages to the API server that have beneficial side effects. However, the controller may choose to execute the action directly.
Unlike Jobs, certain controllers need modifications to be made to external entities.

Benefits of Kubernetes Controller

An effective solution for controlling services and apps on top of Kubernetes clusters is the Kubernetes Operator. They offer a means of expanding Kubernetes’ capabilities and give developers the ability to easily handle intricate jobs and operations.
A controller tracks at least one Kubernetes resource type. These objects have a spec field that represents the desired state.
Kubernetes controller offers a comprehensive framework for controlling containerized applications at scale.