kubernetes-ops

You can deploy a microservice to Kubernetes by applying a deployment.yaml file using kubectl, which initiates rolling updates for zero downtime. This process incrementally replaces old pods with new ones to maintain continuous availability during the Kubernetes deployment.

To troubleshoot failing pods in a Kubernetes cluster, use kubectl commands to inspect pod logs, describe resources, and check cluster events. This helps identify network issues, configuration errors, or resource constraints affecting your container orchestration workloads.

The best way to configure application settings and secrets in K8s is by using ConfigMaps for non-confidential data and Secrets for sensitive information. This decouples configuration artifacts from image content to maintain portability across Kubernetes deployments.

Yes, you can configure auto-scaling for Kubernetes deployments based on CPU utilization by setting up a Horizontal Pod Autoscaler. This automatically scales the number of pods in a deployment up or down in response to real-time cluster resource demand.

No, this Kubernetes management skill requires no external dependencies or plugins to function. It operates independently to manage K8s deployments, services, and container orchestration tasks directly through built-in scripts and references.