Welcome to from-docker-to-kubernetes

Master Container Technologies

Your Journey to Container Mastery

A comprehensive, hands-on guide to mastering Docker and Kubernetes. From basic containers to advanced orchestration.

intro

Why Learn Containerization and Orchestration?

From Docker to Kubernetes is an open-source learning resource designed to help you master containerization and orchestration technologies. This hands-on guide takes you through a progressive journey — starting with Docker fundamentals and advancing to real-world Kubernetes deployments.

Whether you're a developer, DevOps engineer, or technology enthusiast, this resource will help you build modern cloud-native workflows that power today's most innovative applications.

Learning Path Overview

Docker Fundamentals

Master the building blocks of containerization before moving to multi-container orchestration

Kubernetes Orchestration

Scale your container knowledge to manage distributed applications across clusters

Real-world Deployments

Apply container technology to solve actual production challenges

Security & Best Practices

Implement industry standards for secure, efficient containerized applications

Docker Fundamentals

Docker is the gateway to containerization. Our comprehensive coverage includes:

Core Container Concepts

Container Fundamentals

  • Container architecture: How containers work at a technical level
  • Linux primitives: Namespaces, cgroups, and union filesystems
  • OCI specifications: Industry standards for container formats and runtimes
  • Container isolation: Process, network, and filesystem boundaries
  • Container lifecycle: Creation, running, pausing, stopping, and removal

Working with Containers

  • Container commands: Mastering the Docker CLI
  • Interactive shells: Connecting to running containers
  • Container inspection: Viewing metadata and runtime information
  • Resource constraints: Setting CPU, memory, and other limits
  • Privileged containers: Use cases and security implications
  • Container networking basics: Exposing ports and basic connectivity

Dockerfile Mastery

  • Dockerfile syntax: Commands, arguments, and best practices
  • Base images: Selecting and creating minimal base images
  • Layer optimization: Minimizing image size and build time
  • Build context: Understanding what gets sent to the Docker daemon
  • Multi-stage builds: Separating build and runtime environments
  • BuildKit features: Enhanced building capabilities

Image Management

  • Image tagging: Versioning strategies and conventions
  • Image inspection: Analyzing image contents and metadata
  • Image storage: Local and remote registries
  • Image signing: Ensuring supply chain integrity
  • Caching strategies: Optimizing builds with layer caching
  • Image cleanup: Managing disk space and removing unused images

Advanced Docker Features

Networking

  • Network drivers: Bridge, host, overlay, macvlan, and none
  • User-defined networks: Creating isolated network environments
  • Container DNS: Service discovery within Docker networks
  • Network topologies: Common patterns and their use cases
  • Container-to-container communication: Direct links and networks
  • Exposing services: Port publishing and routing mesh
  • Network security: Isolation and access controls

Storage & Volumes

  • Volume types: Named volumes, bind mounts, and tmpfs mounts
  • Volume drivers: Local and remote storage options
  • Data persistence: Strategies for stateful applications
  • Backup and restore: Protecting volume data
  • Shared storage: Accessing the same data across containers
  • Storage performance: Optimizing I/O for containerized applications

Docker Compose

  • Compose file structure: YAML configuration for multi-container apps
  • Service definitions: Configuring container options declaratively
  • Dependencies: Managing startup order and service relationships
  • Environment variables: Configuration and secrets management
  • Networks & volumes: Defining persistent resources
  • Scaling services: Running multiple instances of containers
  • Compose extensions: Reusing configuration with extensions

Advanced Topics

  • Docker contexts: Managing multiple Docker environments
  • Docker content trust: Signed image verification
  • Resource monitoring: Tracking container performance
  • Logging drivers: Configuring container log management
  • Health checks: Implementing container health monitoring
  • Docker security scanning: Finding vulnerabilities in images
  • Docker Swarm: Built-in orchestration capabilities

Kubernetes Orchestration

Kubernetes takes container management to the next level, enabling scalable, resilient applications:

Core Kubernetes Concepts

Architecture & Components

  • Control plane: API Server, etcd, Scheduler, Controller Manager
  • Worker nodes: kubelet, container runtime, kube-proxy
  • Cluster models: Single node, multi-node, high availability
  • Communication patterns: How components interact
  • API versioning: Understanding Kubernetes API evolution
  • Kubernetes distributions: Differences between implementations

Pods & Workloads

  • Pods: The fundamental unit of deployment
  • Multi-container pods: Sidecar, adapter, and ambassador patterns
  • Pod lifecycle: Creation, scheduling, termination
  • Deployments: Managing replica sets and rollouts
  • StatefulSets: Running stateful applications
  • DaemonSets: Node-level services and agents
  • Jobs & CronJobs: Batch processing and scheduled tasks
  • ReplicaSets: Low-level pod replication controllers

Configuration

  • ConfigMaps: Managing configuration data
  • Secrets: Storing sensitive information
  • Environment variables: Pod configuration injection
  • Resource requests & limits: CPU and memory specifications
  • Pod disruption budgets: Ensuring availability during updates
  • Namespaces: Logical isolation of resources
  • Labels & annotations: Metadata for organization and tooling

Networking Fundamentals

  • Kubernetes networking model: Key principles and requirements
  • Pod networking: How pods communicate
  • Services: Stable endpoints for pod access
  • Service types: ClusterIP, NodePort, LoadBalancer, ExternalName
  • Network policies: Pod-level firewalls
  • DNS resolution: Service discovery mechanisms
  • CNI plugins: Configuring the cluster network

Advanced Kubernetes Features

Advanced Deployment

  • Rolling updates: Progressive application rollouts
  • Blue/green deployments: Zero-downtime environment switching
  • Canary releases: Testing with partial traffic
  • Feature flags: Decoupling deployment from release
  • Helm charts: Packaging Kubernetes applications
  • Kustomize: Configuration customization without templates
  • GitOps workflows: Git-centered deployment patterns

Storage & Persistence

  • Persistent Volumes (PV): Cluster-level storage resources
  • Persistent Volume Claims (PVC): Storage requests
  • Storage Classes: Dynamic provisioning
  • Volume snapshot & restore: Data protection strategies
  • StatefulSet storage: Stable storage for stateful apps
  • CSI drivers: Pluggable storage integration
  • Storage performance: Optimizing for different workloads

Advanced Networking

  • Ingress controllers: HTTP/HTTPS routing to services
  • Ingress resources: Route configuration
  • Service mesh: Istio, Linkerd, and similar technologies
  • Mutual TLS: Service-to-service encryption
  • East-west traffic: Internal service communication
  • North-south traffic: External client communication
  • Load balancing algorithms: Traffic distribution strategies

Observability & Operations

  • Logging architecture: Cluster and application logs
  • Metrics collection: Prometheus integration
  • Visualization: Grafana dashboards
  • Distributed tracing: Understanding request flows
  • Alerting: Proactive notification systems
  • Debugging techniques: Troubleshooting pods and services
  • Resource monitoring: Capacity and utilization tracking

Security & Compliance

Docker Security

  • Container isolation: Security boundaries and limitations
  • Rootless containers: Running without root privileges
  • Security scanning: Finding vulnerabilities in images
  • Runtime security: Monitoring for suspicious behavior
  • Secrets management: Protecting sensitive data
  • Docker Bench for Security: Applying best practices
  • Content trust: Signing and verifying images

Kubernetes Security

  • Authentication mechanisms: Certificates, tokens, OIDC
  • Authorization: RBAC, ABAC, Node, Webhook
  • Admission controllers: Validating and mutating requests
  • Pod security standards: Baseline, restricted, privileged
  • Pod security context: User IDs, group IDs, capabilities
  • Network policies: Microsegmentation
  • Secret encryption: Protecting sensitive data at rest
  • Security scanning: Vulnerability management

Advanced Topics

Extending Kubernetes

  • Custom Resource Definitions (CRDs): Extending the API
  • Operators: Automating application operations
  • Custom controllers: Implementing business logic
  • Webhooks: Modifying and validating API requests
  • API aggregation: Adding custom API servers
  • Operator SDK: Building operators efficiently
  • Kubernetes Gateway API: Next-gen networking

Production Readiness

  • High availability configurations: Resilient control planes
  • Multi-cluster management: Federation and fleet management
  • Disaster recovery: Backup and restore strategies
  • Upgrade strategies: Minimizing downtime during upgrades
  • Resource optimization: Right-sizing workloads
  • Cost management: Controlling cloud expenses
  • Compliance: Meeting regulatory requirements

Advanced Autoscaling

  • Horizontal Pod Autoscaler: Scaling based on metrics
  • Vertical Pod Autoscaler: Automatic resource adjustment
  • Cluster Autoscaler: Dynamic node provisioning
  • Custom metrics: Scaling on business metrics
  • Predictive scaling: Anticipating load changes
  • Multi-dimensional autoscaling: Combining approaches
  • Scale to zero: Serverless patterns in Kubernetes

DevOps & CI/CD Integration

Containerization and orchestration shine brightest when integrated into modern DevOps workflows:

Continuous Integration & Delivery

CI/CD Pipelines

  • Container-based CI/CD: Building efficient pipelines
  • Multi-stage testing: Unit, integration, and end-to-end tests
  • Image building automation: Constructing and versioning images
  • Artifact management: Storing and distributing images
  • Deployment automation: GitOps and push-based approaches
  • Rollback strategies: Recovering from failed deployments
  • Pipeline optimization: Improving speed and reliability

GitOps & Infrastructure as Code

  • GitOps principles: Git as single source of truth
  • Pull-based deployments: Cluster reconciliation
  • GitOps tools: Flux, ArgoCD, and alternatives
  • Infrastructure as Code: Terraform, Pulumi with containers
  • Policy as Code: OPA, Kyverno, and compliance automation
  • Secret management: Vault, Sealed Secrets integration
  • Progressive delivery: Feature flags and canary releases

Cloud & Platform Integration

Containers work across environments, with specialized features in different clouds:

AWS Container Services

  • Amazon Elastic Container Service (ECS)
  • Amazon Elastic Kubernetes Service (EKS)
  • AWS Fargate (serverless containers)
  • ECR (Elastic Container Registry)
  • AWS App Mesh (service mesh)
  • AWS Proton (deployment platform)

Google Cloud Platform

  • Google Kubernetes Engine (GKE)
  • Cloud Run (serverless containers)
  • Artifact Registry
  • GKE Autopilot
  • Cloud Build
  • Anthos (hybrid/multi-cloud)

Microsoft Azure

  • Azure Kubernetes Service (AKS)
  • Azure Container Instances
  • Azure Container Registry
  • Azure App Service
  • Azure Container Apps
  • Azure Service Fabric

Target Audience

This comprehensive guide is designed for various roles and experience levels:

Developers

Learn to containerize applications, create efficient images, and understand how containers work in production environments

DevOps Engineers

Master container orchestration, implement CI/CD pipelines, and manage infrastructure efficiently using containers

Platform Engineers

Design and implement container platforms that provide self-service capabilities for development teams

Students & Self-learners

Build practical skills in modern cloud-native technologies that are increasingly required in the job market

Learning Path

Our structured learning approach ensures you build knowledge progressively:

Start with core container concepts, Dockerfiles, and basic commands to run single containers.

Learn to connect containers using Docker Compose and container networking.

Understand Kubernetes architecture and deploy basic applications to a cluster.

Master stateful applications, advanced deployment strategies, and custom resources.

Learn security, scaling, monitoring, and other aspects of production deployments.

Implement automated pipelines for building, testing, and deploying containerized applications.

Prerequisites

Hands-on Approach

Getting Started

Ready to begin your container journey? Follow these steps:

Your Next Steps

  1. Install Docker and Kubernetes tools using our installation guide
  2. Learn Docker fundamentals to understand container basics
  3. Build your first container with our hands-on tutorial
  4. Create multi-container applications using Docker Compose
  5. Deploy to Kubernetes to experience container orchestration

Community & Support

Join Our Community

  • GitHub Discussions: Ask questions and share insights
  • Discord Server: Real-time chat with other learners
  • Monthly Webinars: Deep dives on advanced topics
  • Contribution Guidelines: Help improve this resource

Getting Help

  • Troubleshooting Guides: Solutions to common issues
  • FAQ Section: Answers to frequently asked questions
  • Issue Tracker: Report bugs or suggest improvements
  • Email Support: For private inquiries

License

This project is open source and available under the MIT license.