Kubernetes Operator Development for Better Usability

Kubernetes operator extends Kubernetes API to manage to maintain third-party software as native Kubernetes objects. Many operators are being built for platform elements like databases, loggers, queues, etc. You can see a number of fit-for-purpose application platforms being created by composing multiple operators together. So, here are the guidelines for Kubernetes operator development. 

Kubernetes Operator Development


1. Design Your Operator with Declarative API: A declarative API allows you to declare or specify the required state of your custom resource. You should prefer a declarative state over any imperative action in the custom resource spec type definition. Therefore, the custom controller code should be written to reconcile the current state with the required state.

2. Use Kubectl as A Primary Interaction Mechanism: When designing your operator, you should support most of its action through Kubectl. In addition, Kubernetes contain various mechanisms such as custom resource definition, custom sub-resources, and aggregated API servers. Before acknowledging introducing a new CLI for your Operator, validate if you can use these mechanisms instead.

3. Determine Your Custom Resource Metrics Collection Strategy: Get a plan for metrics collection of custom resources maintained by your operator. This data is beneficial for understanding the effects of various actions on your custom resources over time. 

4. Make Operator Etcd Dependency Configurable: If your operator requires ETCD for its storage, then it's great to make this dependency configurable through your operator's helm chart. It will allow the platform engineers to install your operator along with other operators. 

So, these are the guidelines for Kubernetes operator development. Use Kubermatic Kubernetes Platform and speed up development cycles. 


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