@tank/kubernetes-mastery

Diagnose Kubernetes pod failures like CrashLoopBackOff or pending states by applying kubectl-oriented diagnostics to identify root causes and generate safe remediation plans. This approach uses YAML-first reasoning to evaluate workloads and configuration without risky cluster changes.

Configure Kubernetes autoscaling and probes by applying controller-aware recommendations and safe rollout practices. This ensures workloads scale correctly and pass health checks, maintaining production readiness across single-cluster and multi-cluster environments.

Set up Kubernetes RBAC and Pod Security Standards by applying YAML-first reasoning to define role bindings and security policies. This secures cluster operations and workloads by ensuring safe configuration practices across deployments.

Yes, you can use Helm and GitOps workflows to manage Kubernetes application releases. This networking and delivery approach ensures reliable application exposure and release by integrating Kustomize and DNS configurations across your clusters.

Yes, this approach works for multi-cluster Kubernetes environments and observability. It diagnoses cluster operations and deployment problems across single-cluster and multi-cluster setups, applying debugging patterns for comprehensive production troubleshooting.

Kubernetes deployments fail during rollout due to misconfigured controllers, probes, or RBAC settings. Fix them safely by applying controller-aware recommendations and safe rollout practices to turn failing rollouts into clear diagnoses and remediation plans.