Course Overview
This course provides practical coverage of Docker containerization and Kubernetes application deployment and management. It begins with container fundamentals, Docker architecture, containers, images, networking, Dockerfiles, and essential Docker commands before progressing to Kubernetes architecture and core components.
The Kubernetes modules cover cluster management, kubectl, Pods, Deployments, scaling, Services, Ingress, storage, configuration, security, and scheduling. The course also includes microservices observability using Fluentd, Elasticsearch, Prometheus, and Grafana, along with an optional Jenkins-based CI/CD use case. CKAD examination preparation topics are included as an optional module.
Course Objective
- Understand the evolution of containerization and microservices architecture.
- Explain Docker architecture, container lifecycle, images, networking, and Dockerfile instructions.
- Build, manage, and deploy Docker images and containers using Docker CLI.
- Understand Kubernetes architecture, cluster components, and container runtime integrations.
- Create, configure, manage, and troubleshoot Kubernetes Pods using kubectl and YAML manifests.
- Deploy applications using Deployments and implement scaling, rolling updates, and rollback strategies.
- Configure Kubernetes Services, Ingress, Network Policies, and persistent storage.
- Manage application configuration using ConfigMaps, Secrets, Service Accounts, and Custom Resource Definitions.
- Apply Kubernetes security, authentication, authorization, RBAC, and scheduling configurations.
- Implement application observability using Fluentd, Elasticsearch, Prometheus, and Grafana, and understand Jenkins-based CI/CD deployment workflows.
Pre-requisites
- Have basic exposure to Linux operating systems and commands.
- Be comfortable using the VI editor.
- Have familiarity with cloud computing concepts.
- Have basic awareness of Amazon Web Services (AWS).
Course Curriculum
