Master containerization and orchestration
Docker and Kubernetes are essential technologies for modern application deployment and orchestration. Docker enables you to package applications and their dependencies into containers, ensuring consistency across environments. Kubernetes orchestrates these containers at scale, handling deployment, scaling, and management. As you master these technologies, you will learn to containerize applications, create Docker images, manage container lifecycles, deploy to Kubernetes clusters, configure services and ingress, implement auto-scaling, and manage production workloads. These skills are crucial for DevOps engineers, cloud engineers, and backend developers. Docker and Kubernetes are used by virtually every tech company for deploying microservices, ensuring high availability, and managing infrastructure. The learning curve can be steep, but these skills are highly valuable and in extreme demand.
6-8 weeks
Containers vs VMs, Docker architecture, installation
Pulling images, running containers, lifecycle
Creating images, layers, best practices
Multi-container apps, docker-compose.yml
6-8 weeks
Data persistence, networks, port mapping
Optimizing images, build stages
Docker Hub, private registries, image management
Image scanning, secrets, rootless containers
8-10 weeks
Master, nodes, pods, control plane
Creating pods, deployments, replica sets
ClusterIP, NodePort, LoadBalancer, service discovery
Configuration management, sensitive data
10-12 weeks
Stateful applications, persistent storage
Ingress controllers, routing, SSL/TLS
Package management, charts, releases
HPA, VPA, cluster autoscaler
6-8 weeks
Metrics collection, PromQL, alerts
Dashboards, visualization, monitoring
ELK/EFK stack, centralized logging
Distributed tracing, Jaeger, OpenTelemetry
6-8 weeks
Role-based access control, security policies
GitOps, ArgoCD, automated deployments
CNI, network policies, service mesh
Debugging, logs, common issues