Learn Kubernetes Deployment Model

Pod security, SecurityContext, runtime hardening, Pod Security Standards, seccomp, Linux capabilities, non-root execution, read-only filesystem, host namespace risk, and production hardening workflow.

Admission control, policy-as-code, validating admission policy, mutating admission policy, admission webhooks, Pod Security Admission, OPA Gatekeeper, Kyverno, governance rollout, exception handling, and failure modelling.

Supply chain security for Kubernetes delivery, image identity, digest pinning, SBOM, provenance, SLSA, signing, attestation, admission enforcement, vulnerability policy, CI/CD identity, registry trust, and deployment governance.

Observability foundations for Kubernetes, including metrics, logs, events, traces, audit records, resource metrics pipeline, kube-state-metrics, OpenTelemetry, Prometheus, dashboard design, alerting, correlation, and production signal strategy.

Production debugging for Kubernetes systems, including a systematic triage method across Pods, Nodes, Services, DNS, networking, storage, resources, rollout state, events, logs, ephemeral containers, and incident evidence collection.

Reliability engineering for Kubernetes platforms, including SLOs, SLIs, error budgets, availability thinking, probes, graceful shutdown, disruption budgets, rollout reliability, dependency failure, blast radius, resilience patterns, and failure modelling.

Kubernetes upgrade engineering, version skew, API deprecation, compatibility management, control-plane upgrade sequencing, node upgrade strategy, add-on compatibility, preflight validation, rollback limits, and enterprise upgrade governance.

GitOps delivery model for Kubernetes, including declarative desired state, source of truth, pull-based reconciliation, drift detection, promotion strategy, environment topology, secret handling, policy integration, rollback, multi-cluster delivery, and enterprise operating model.

Helm, Kustomize, and Kubernetes package management for production platforms, including chart design, values contracts, overlays, templating boundaries, GitOps integration, governance, testing, anti-patterns, and decision frameworks.

CustomResourceDefinitions, custom controllers, operators, and platform APIs, including Kubernetes API extension design, spec/status contracts, reconciliation loops, finalizers, conditions, conversion, governance, testing, and operator anti-patterns.

Multi-cluster, multi-tenant, and enterprise Kubernetes topology design, including tenancy isolation models, fleet governance, namespace architecture, cluster-per-boundary decisions, multi-region strategy, policy distribution, and operational failure modelling.

Platform engineering and Internal Developer Platform design for Kubernetes, including golden paths, paved roads, self-service workflows, platform APIs, developer experience, governance without bottlenecks, reliability, security, cost, and product operating model.

Capstone design for a production-grade Kubernetes deployment platform, including architecture synthesis, invariants, workload onboarding, GitOps delivery, security, observability, reliability, governance, maturity assessment, and final review checklist.