DevOps-2: Deployment Automation & Kubernetes

Goals

• Automate application deployments and integrate containerization into the delivery process
• Deploy, manage, and scale containerized applications using Kubernetes

This module is designed for:

• Aspiring DevOps engineers looking to build hands-on experience with Docker and Kubernetes
• Developers who want to automate deployments and run applications in containers
• System and infrastructure engineers transitioning to cloud-native and Kubernetes environments
• Cloud engineers working with container orchestration platforms (EKS, AKS, GKE)
• DevOps practitioners seeking to strengthen deployment automation and scaling skills
• Learners with basic Linux, networking, or CI/CD knowledge who want practical container orchestration skills

By the end of this module, learners will be able to:

• Automate application deployments using modern deployment strategies
• Build, containerize, and manage applications with Docker
• Integrate containerization into CI/CD pipelines
• Deploy and manage applications on Kubernetes
• Use Helm to package and release Kubernetes applications
• Configure rolling updates, rollbacks, and deployment strategies
• Implement scaling, autoscaling, and resource management in Kubernetes
• Confidently manage containerized workloads in production-like environments

1. Deployment Automation

• Deployment strategies: rolling, blue-green, canary
• Automating deployments with Ansible
• CI/CD pipeline configuration for multiple environments

2. Containerization with Docker

• Docker architecture and core concepts
• Creating Dockerfiles and managing images
• Integrating Docker into CI/CD pipelines

3. Kubernetes Fundamentals

• Kubernetes architecture and control plane components
• Core resources: Pods, Deployments, Services
• kubectl command-line operations

4. Pods and Deployments

• Creating and managing single- and multi-container Pods
• Rolling updates and rollbacks
• Configuring deployment strategies in Kubernetes

5. Helm for Kubernetes

• Introduction to Helm and charts
• Packaging and deploying Kubernetes applications

6. Scaling and Resource Management

• Horizontal and vertical scaling
• Resource requests, limits, and namespaces
• Autoscaling using metrics
• Managing resource quotas