Kubernetes & Containers

Overview

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Kubernetes has become the standard for container orchestration, but it’s also one of the most complex systems to operate. This series covers Kubernetes evolution, operational patterns that work in production, the mature ecosystem around containers, and how organizations at scale manage containerized infrastructure.

Whether you’re adopting containers or optimizing existing deployments, understanding these patterns separates smooth operations from constant firefighting.

What You’ll Find Here

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Kubernetes Releases: Analyzing new Kubernetes versions, feature removals, and improvements—understanding what matters for your clusters.

Production Patterns: Real-world deployment patterns, multi-cluster strategies, network policies, and resource management in production systems.

Service Mesh Evolution: How service meshes (Istio, Linkerd) add observability and reliability, and when they’re worth the complexity.

Operator Development: Building Kubernetes operators to automate complex application lifecycle management and stateful workload orchestration.

Container Ecosystem: Docker alternatives, image registries, vulnerability scanning, and supply chain security for containers.

Cost Optimization: Resource management, node rightsizing, cluster scaling, and optimizing Kubernetes costs.

Learning Path

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1. Master Kubernetes basics — understand pods, services, deployments, and core abstractions
2. Learn production patterns — network policies, resource limits, logging, and monitoring
3. Explore advanced architectures — multi-cluster, service mesh, and operator patterns
4. Understand the ecosystem — observability tools, container runtimes, and supporting infrastructure
5. Optimize for production — cost, security, and operational efficiency at scale

Key Topics Covered

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• Core Kubernetes: Pods, services, deployments, statefulsets, and native resources
• Networking: CNI, network policies, ingress, load balancing, and service discovery
• Storage: Persistent volumes, storage classes, backup strategies, and stateful workloads
• Operators & CRDs: Custom resources, operator frameworks, and lifecycle management
• Service Mesh: Istio, Linkerd, Envoy, and observability/security benefits
• Observability: Prometheus, Grafana, Jaeger, distributed tracing, and cluster monitoring
• Security: RBAC, network policies, pod security policies, and secrets management
• Container Runtimes: containerd, CRI-O, and alternatives to Docker

Related Series

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Explore complementary areas: Cloud Operations (operating containerized infrastructure), Cloud Platform Watch (managed Kubernetes services from cloud providers)