Kubernetes Production Patterns
Master production-grade Kubernetes with architecture patterns, deployment strategies, networking, storage, security, monitoring, and operational best practices for enterprise environments.
Kubernetes Fundamentals
start here: no prior Kubernetes knowledge needed
Architecture Patterns
design patterns for scalable and resilient applications
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Microservices Architecture
service decomposition, API gateways, service mesh, domain-driven design
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Multi-Cluster Architecture
federation, cluster federation v2, multicluster networking, disaster recovery
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Hybrid Cloud Architecture
on-premise + cloud integration, cluster bridging, unified management
Deployment Strategies
strategies for zero-downtime and safe deployments
Networking
CNI, service mesh, ingress, network policies
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Kubernetes Networking
CNI, Service, Ingress, NetworkPolicy, DNS, service discovery
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Ingress Controllers
NGINX, Traefik, HAProxy, AWS ALB, GCE Ingress, Istio Gateway
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Service Mesh
Istio, Linkerd, Consul, mTLS, traffic management, observability
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CNI Comparison
Calico, Flannel, Weave, Cilium, Antrea, performance comparison
Storage
persistent storage, CSI, backups, data management
Security
secure your Kubernetes clusters
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Kubernetes Security
RBAC, security contexts, pod security policies, OPA, secrets management
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RBAC Best Practices
roles, clusterroles, bindings, service accounts, least privilege
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OPA & Gatekeeper
policy as code, admission control, constraint templates, validation
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Network Security
network policies, zero-trust, mTLS, firewall, egress filtering
Monitoring & Observability
metrics, logs, traces, and dashboards
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Monitoring Stack
Prometheus, Grafana, AlertManager, node exporters, kube-state-metrics
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Logging with EFK/ELK
Elasticsearch, Fluentd, Kibana, log collection, aggregation, analysis
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Distributed Tracing
Jaeger, Zipkin, OpenTelemetry, trace collection, performance analysis
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Alerting Best Practices
alert rules, receiver configuration, on-call management, runbooks
Operational Best Practices
manage Kubernetes in production
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Cluster Autoscaling
cluster autoscaler, HPA, VPA, resource optimization, cost management
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Resource Management
resource requests, limits, quotas, limit ranges, burst management
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Node Maintenance
draining, cordoning, OS updates, cluster upgrades, node taints/tolerations
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Cost Optimization
resource optimization, spot instances, committed use discounts, rightsizing
CI/CD & Automation
automated build, test, and deployment pipelines
Troubleshooting & Debugging
solving common Kubernetes issues
Interview & Real-World Scenarios
ace your Kubernetes interview