Kubernetes A-to-Z Series: Complete Learning Path
Kubernetes A-to-Z Series: Complete Learning Path
This is a comprehensive 24-part blog series that will guide readers from Kubernetes basics to advanced production-ready concepts. Each post includes practical examples, command cheatsheets, and real-world scenarios.
📖 Recommended Reading Order
Follow this sequence for the best learning experience. Each post builds upon concepts from previous ones:
Part 1: Foundation & Core Concepts (Start Here)
- K is for Kubernetes: Understanding the Basics and Architecture
- C is for Containers: Docker Fundamentals Before Kubernetes
- P is for Pods: The Basic Building Blocks of Kubernetes
Part 2: Core Workloads & Management (Coming Next)
- D is for Deployments: Managing Application Lifecycle (Next to read)
- S is for Services: Networking and Service Discovery
- R is for ReplicaSets: Ensuring High Availability
💡 Pro Tip: Complete Part 1 before moving to Part 2. Each part builds on the previous one!
🔢 Reading Sequence by Post Number
📋 Series Progress Tracker
Part 1: Foundation & Core Concepts
-
K is for Kubernetes: Understanding the Basics and Architecture
- What is Kubernetes and why it matters
- Kubernetes architecture and components
- Control plane vs worker nodes
- Basic cluster setup and tools
- Status: ✅ Complete
-
C is for Containers: Docker Fundamentals Before Kubernetes
- Container basics and Docker fundamentals
- Container images and registries
- Dockerfile best practices
- Container networking and storage basics
- Status: ✅ Complete
-
P is for Pods: The Basic Building Blocks of Kubernetes
- Understanding pods and their lifecycle
- Multi-container pods patterns
- Pod networking and storage
- Pod health checks and probes
- Status: ✅ Complete
Part 2: Core Workloads & Management
-
D is for Deployments: Managing Application Lifecycle
- Deployment concepts and strategies
- Rolling updates and rollbacks
- Deployment patterns and best practices
- Blue-green and canary deployments
- Status: ✅ Complete
-
S is for Services: Networking and Service Discovery
- Service types and use cases
- ClusterIP, NodePort, LoadBalancer
- Service discovery mechanisms
- Headless services and DNS
- Status: ✅ Complete
-
R is for ReplicaSets: Ensuring High Availability
- ReplicaSet concepts and management
- Scaling applications manually and automatically
- Pod disruption budgets
- Availability zones and distribution
- Status: ✅ Complete
-
J is for Jobs and CronJobs: Batch Processing in Kubernetes
- One-off tasks and scheduled workflows
- Parallelism and completions
- Handling failures and retries
- Cleanup policies
- Status: ✅ Complete
Part 3: Configuration & Storage
-
N is for Namespaces: Organizing Your Cluster
- Namespace concepts and isolation
- Resource quotas and limits
- Network policies and RBAC
- Multi-tenant cluster design
- Status: ✅ Complete
-
V is for Volumes: Persistent Storage in Kubernetes
- Storage concepts and volume types
- PersistentVolumes and PersistentVolumeClaims
- Storage classes and dynamic provisioning
- Stateful applications and storage patterns
- Status: ✅ Complete
-
M is for ConfigMaps and Secrets: Managing Configuration
- Configuration management patterns
- ConfigMaps for non-sensitive data
- Secrets for sensitive information
- Environment-specific configurations
- Status: ✅ Complete
Part 4: Advanced Concepts
-
I is for Ingress: Managing External Access
- Ingress controllers and resources
- Path-based and host-based routing
- TLS termination and SSL certificates
- Advanced routing patterns
- Status: ✅ Complete
-
H is for Helm: Package Management for Kubernetes
- Helm charts and repositories
- Creating and managing charts
- Values and templating
- Chart dependencies and versioning
- Status: ✅ Complete
-
O is for Operators: Extending Kubernetes Functionality
- Operator pattern and CRDs
- Building custom operators
- Operator Lifecycle Manager (OLM)
- Popular operators in the ecosystem
- Status: ✅ Complete
-
Y is for YAML: Mastering the Language of Kubernetes
- YAML syntax and structure
- Common pitfalls and validation
- Multi-document files
- Tools for linting and diffing
- Status: ✅ Complete
Part 5: Operations & Monitoring
-
L is for Logging and Monitoring: Observability in Kubernetes
- Logging architectures and tools
- Metrics collection with Prometheus
- Distributed tracing with Jaeger
- Dashboards and alerting
- Status: ✅ Complete
-
T is for Troubleshooting: Common Issues and Solutions
- Debugging pod issues
- Network troubleshooting
- Storage problems and solutions
- Performance optimization
- Status: ✅ Complete
-
Q is for Quality Assurance: Testing in Kubernetes
- Testing strategies for Kubernetes
- Unit, integration, and end-to-end testing
- Chaos engineering principles
- CI/CD integration
- Status: ✅ Complete
-
U is for Upgrades: Managing Cluster Lifecycle
- Version skew policies
- Node draining and maintenance
- Kubeadm upgrades
- Blue/green cluster upgrades
- Status: ✅ Complete
Part 6: Security & Production
-
A is for Authentication and RBAC: Securing Your Cluster
- Authentication mechanisms
- Role-Based Access Control (RBAC)
- Network policies and security contexts
- Pod security standards
- Status: ✅ Complete
-
F is for Federation: Multi-Cluster Management
- Multi-cluster architectures
- Cluster federation and service mesh
- Disaster recovery and backup strategies
- Cross-cluster communication
- Status: ✅ Complete
-
Z is for Zero-Downtime Deployments: Advanced Strategies
- Advanced deployment patterns
- GitOps and continuous delivery
- Progressive delivery with Flagger
- Service mesh integration
- Status: ✅ Complete
-
G is for GitOps: Modern Deployment Workflows
- GitOps principles and benefits
- ArgoCD vs FluxCD comparison
- Repository structures and strategies
- Image automation and progressive delivery
- Status: ✅ Complete
-
B is for Best Practices: Building Secure and Reliable Apps
- Resource requests and limits
- Liveness and readiness probes
- Security contexts and non-root users
- 12-factor app principles in Kubernetes
- Status: ✅ Complete
-
E is for Etcd: Understanding the Brain of Kubernetes
- Key-value store concepts
- Consistency and consensus (Raft)
- Backup and restore strategies
- High availability and performance
- Status: ✅ Complete
🎯 Learning Path Progression
Beginner Level (Parts 1-2)
- Understanding containers and Kubernetes basics
- Core concepts: pods, deployments, services
- Basic cluster operations and management
Intermediate Level (Parts 3-4)
- Configuration management and storage
- Advanced networking with ingress
- Package management with Helm
- Custom resources and operators
Advanced Level (Parts 5-6)
- Monitoring, logging, and observability
- Troubleshooting and performance optimization
- Security and multi-cluster management
- Production-ready deployment strategies
📚 Each Post Includes
- Conceptual explanations with real-world analogies
- Step-by-step tutorials with practical examples
- Command reference with copy-paste examples
- Best practices and common pitfalls
- Troubleshooting tips for common issues
- Further reading and additional resources
🔧 Prerequisites
- Basic understanding of Linux/command line
- Familiarity with container concepts (helpful but not required)
- Curiosity about modern application deployment
📅 Publishing Schedule
This series will be published over the coming weeks, with each part building upon the previous ones. Readers are encouraged to follow along sequentially for the best learning experience.
Last Updated: November 24, 2025 Series Status: ✅ Complete