7 Best Practices in Kubernetes

The growing use of containers has led to a subsequent rise in the demand for Container Orchestration Platforms like Kubernetes. Using containers to package applications has dramatically streamlined the process of shipping applications from Development to Production. No doubt, Kubernetes as a platform orchestrator by introducing its profound ways has further simplified the process.

1. Use Namespaces

Kubernetes provides an efficient resource for large teams to isolate their work called a Namespace. You should leverage the ability of namespaces to separate different teams’ work on a single Kubernetes cluster. Namespaces also help in isolating individual applications so that managing them becomes easier.

2. Use Secrets and Configmaps

Most applications require configuration details including some confidential data like secret keys, passwords, or userids. A quick solution is to pass these details via environment variables.

3. Leverage RBAC features

Kubernetes has implemented a rather rich feature of RBAC to define individuals, teams, or applications’ access to the cluster. Kubernetes Roles is a resource to specify the allowed actions in the cluster. These roles are bound to Users or Applications (Service Accounts) using RoleBindings. This way of defining restricted access to clusters implements a layer of access management.

4. Specify Resource Limits

It is a good practice to set resource usage limits for applications. It allows keeping the resources of the cluster under check and eliminates opportunities for excessive drainage of resources by a single application, which can seriously impact the performance of other applications. These limits of CPU or Memory usage can be defined for each container in the spec of a Kubernetes Pod/Deployment/StatefulSet.

5. Use of initContainers

An initContainer exhibits an attractive feature. It runs to completion before the main application container is started. For this reason, people see it as a potential helper that can run custom utilities and setup code that is not a part of the main image.

6. Use readiness & liveness Probes

Kubernetes Probes are defined for Pods. Readiness Probe checks whether a pod is ready to accept traffic or not. A Pod is considered ready when all of its containers are ready. This information is important as it is used to decide whether or not to add a Pod from the list of load-balanced servers behind a Kubernetes Service.

7. Monitoring & Logging

Keeping an eye on the Kubernetes Cluster produces better management and quicker debugging in times of a breakdown. Hence, one should have a reliable monitoring and logging mechanism in place for a transparent view of the entire cluster.

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