Mentor Based
Container Management with Docker and Kubernetes
Mastering Containerized Applications for Scalable, Secure, and Efficient Deployment
Early access to e-LMS included
About This Course
The Container Management with Docker and Kubernetes program provides comprehensive training on containerized application deployment, microservices architecture, container security, and orchestration. Participants will gain expertise in Docker containerization, Kubernetes cluster management, CI/CD automation, and cloud-native deployments. This course is designed for developers, DevOps professionals, and cloud engineers.
Aim
To equip participants with hands-on experience in containerization, orchestration, and automation using Docker and Kubernetes, enabling them to build, deploy, and manage scalable applications in cloud and enterprise environments.
Program Objectives
- To introduce participants to containerization concepts and Docker fundamentals.
- To train participants in orchestrating and scaling applications with Kubernetes.
- To develop expertise in CI/CD automation and cloud-native deployments.
- To explore container security, monitoring, and observability in Kubernetes.
- To prepare professionals for Kubernetes and Docker-related roles in DevOps and cloud computing.
Program Structure
Week 1: Introduction to Docker and Containerization
Module 1: Understanding Containers and Docker Basics
- What is Containerization?
- Benefits of containers over traditional virtualization.
- Difference between Containers and Virtual Machines (VMs).
- Introduction to Docker
- Docker architecture: Docker Daemon, Client, and Registry.
- Installing Docker on Windows, macOS, and Linux.
- Working with Docker Images and Containers
- Creating and managing containers.
- Pulling images from Docker Hub.
- Running and stopping containers.
Hands-On Lab:
- Installing Docker and running a sample containerized application.
Module 2: Docker Images, Networking, and Storage
- Building Custom Docker Images
- Writing a Dockerfile and managing layers.
- Using
.dockerignoreto optimize image builds. - Tagging and pushing images to Docker Hub.
- Docker Networking and Storage
- Bridge, Host, Overlay, and Macvlan networks.
- Docker Volumes vs. Bind Mounts.
Hands-On Lab:
- Building a custom Docker image and deploying it with persistent storage.
Week 2: Docker Compose and Kubernetes Fundamentals
Module 3: Multi-Container Applications with Docker Compose
- Orchestrating Containers with Docker Compose
- Writing
docker-compose.ymlfiles. - Defining multi-container applications.
- Managing services with
docker-compose up/down.
- Writing
- Scaling and Load Balancing with Docker Compose
- Horizontal scaling of services.
- Linking containers and environment variables.
Hands-On Lab:
- Deploying a multi-container application with Docker Compose.
Module 4: Introduction to Kubernetes and Container Orchestration
- Why Kubernetes?
- Challenges with standalone Docker and the need for orchestration.
- Key components: Pods, Nodes, Deployments, Services.
- Setting Up a Kubernetes Cluster
- Kubernetes architecture overview.
- Installing Minikube and Kubectl for local testing.
- Deploying a simple Kubernetes application.
Hands-On Lab:
- Setting up a Minikube cluster and deploying a containerized app.
Week 3: Advanced Kubernetes and Production Deployments
Module 5: Kubernetes Networking, Scaling, and Monitoring
- Kubernetes Networking and Service Discovery
- Exposing applications with Services (ClusterIP, NodePort, LoadBalancer).
- Configuring Ingress controllers for routing.
- Scaling and Auto-Healing in Kubernetes
- Horizontal Pod Autoscaler (HPA).
- Liveness and Readiness Probes.
- Monitoring and Logging in Kubernetes
- Using Prometheus and Grafana for monitoring.
- Centralized logging with ELK Stack.
Hands-On Lab:
- Implementing auto-scaling and monitoring in a Kubernetes cluster.
Module 6: CI/CD, Security, and Cloud Deployments with Kubernetes
- CI/CD with Kubernetes and GitOps
- Deploying applications using Jenkins, ArgoCD, and GitHub Actions.
- Blue-Green and Canary deployments.
- Security Best Practices in Kubernetes
- Role-Based Access Control (RBAC).
- Image scanning and security policies.
- Deploying Kubernetes Applications in the Cloud
- Working with AWS EKS, Azure AKS, and Google Kubernetes Engine (GKE).
Hands-On Lab:
- Deploying a Kubernetes application on AWS EKS or Azure AKS.
Who Should Enrol?
- DevOps engineers and cloud architects
- Software developers and IT professionals
- System administrators managing cloud-native environments
- Students and researchers in containerized application development
Program Outcomes
- Mastery of Docker containerization and Kubernetes orchestration
- Hands-on experience in managing Kubernetes clusters in production
- Ability to automate CI/CD pipelines and DevOps workflows
- Expertise in Kubernetes security, networking, and monitoring
- Readiness for Docker Certified Associate (DCA) and Certified Kubernetes Administrator (CKA) certifications
Fee Structure
Standard: ₹16,998 | $224
Discounted: ₹8,499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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