Container Management with Docker and Kubernetes

Mastering Containerized Applications for Scalable, Secure, and Efficient Deployment

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Weeks

About

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 .dockerignore to 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.yml files.
- Defining multi-container applications.
- Managing services with docker-compose up/down.
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.

Participant’s Eligibility

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 Fee: INR ~~16,998~~ USD ~~224~~

Discounted Fee: INR 8,499 USD 112

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies