Docker & Kubernetes Online Training: Master Containers & Orchestration

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Docker & Kubernetes

Course Overview

The Docker & Kubernetes course is designed to provide comprehensive knowledge and hands-on experience with containerization and orchestration technologies. Docker simplifies the process of packaging and deploying applications within containers, while Kubernetes manages the orchestration of these containers, ensuring scalability, resilience, and efficient resource utilization. This course covers the fundamentals, best practices, and practical applications of Docker and Kubernetes in modern software development and deployment.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Description

The course begins with an introduction to Docker, explaining containerization concepts and the Docker ecosystem. Participants will learn how to create, manage, and deploy applications using Docker containers. Subsequently, the focus shifts to Kubernetes, covering container orchestration, scaling applications, managing deployments, and maintaining containerized environments. Hands-on labs and real-world scenarios will be explored to reinforce theoretical concepts and ensure practical proficiency.

Course Objectives

The primary objectives of the Docker & Kubernetes course are as follows:

Understanding Containerization: Provide a solid understanding of containerization concepts, Docker architecture, and container deployment.
Docker Basics: Familiarize participants with Docker commands, container creation, and Docker Compose for multi-container applications.
Container Orchestration: Introduce Kubernetes as a container orchestration platform and cover its key components and features.
Deployment and Scaling: Teach the deployment and scaling of applications using Kubernetes, ensuring optimal resource utilization.
Service Discovery and Load Balancing: Explore Kubernetes features for service discovery, load balancing, and managing application networking.
Configuration Management: Cover configuration management and the use of ConfigMaps and Secrets in Kubernetes.
Monitoring and Logging: Introduce monitoring and logging practices for containerized applications in Kubernetes environments.
Best Practices: Share best practices for designing, deploying, and managing applications in Docker and Kubernetes environments.

Prerequisites

- Basic understanding of Linux operating system.
- Familiarity with command line interface (CLI).
- Knowledge of containerization concepts.
- Understanding of virtualization and cloud computing.
- Awareness of microservices architecture.
- Experience with using and navigating code editors or IDEs.

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Course Curriculum

Introduction to Docker

What is Docker?
Installing Docker
Docker Architecture
Understanding Images and Containers

Basic Docker Commands

Running Containers
Stopping and Restarting Containers
Removing Containers and Images
Docker Help Commands

Dockerfile Basics

Writing a Dockerfile
Building Docker Images
Dockerfile Instructions (FROM, RUN, CMD, EXPOSE, etc.)

Docker Hub

Pushing and Pulling Images
Managing Repositories

Docker Compose

Introduction to Docker Compose
Defining Services in docker-compose.yml
Running Multi-Container Applications

Docker Networking

Networking Basics
Bridge Networks
Host Networks
Overlay Networks

Docker Volumes

Volume Management
Mounting Volumes
Bind Mounts

Docker Swarm

Introduction to Orchestration
Initializing a Swarm
Deploying Services to Swarm

Advanced Dockerfile Techniques

Multi-Stage Builds
Best Practices for Optimizing Dockerfiles

Docker Security

Security Best Practices
Image Vulnerability Scanning
Docker Bench for Security

CI/CD with Docker

Integrating Docker with Jenkins
Building CI/CD Pipelines
Automating Deployments with Docker

Advanced Networking and Storage

Custom Network Drivers
Persistent Storage with Docker Volumes

Introduction to Kubernetes

What is Kubernetes?
Kubernetes Architecture
Setting Up a Kubernetes Cluster

Basic Kubernetes Concepts

Pods
Deployments
Services

Kubernetes CLI (kubectl)

Basic kubectl Commands
Managing Pods and Deployments

ConfigMaps and Secrets

Storing Configuration Data
Managing Sensitive Data

Kubernetes Networking

Networking Basics
Service Types
Ingress Controllers

Kubernetes Storage

Persistent Volumes and Claims
Storage Classes

Deployments and StatefulSets

Deployment Strategies
Stateful Applications

Monitoring and Logging

Setting Up Prometheus and Grafana
Using ELK Stack for Logging

Kubernetes Security

RBAC and Network Policies
Pod Security Policies

Advanced Deployments and Scaling

Blue-Green Deployments and Canary Releases
Horizontal and Vertical Pod Autoscaling

Helm and Operators

Introduction to Helm
Writing and Deploying Helm Charts
Kubernetes Operators

Advanced Cluster Management

High Availability Clusters
Cluster Federation

Introduction to Terraform

What is Terraform?
Installing Terraform
Terraform Basics: Providers, Resources, and Modules

Writing Terraform Configuration

Basic Syntax and Structure
Creating Resources

Terraform State Management

Understanding Terraform State
Remote State Storage

Basic Commands

init, plan, apply, destroy
Terraform CLI

Variables and Outputs

Defining and Using Variables
Output Values

Terraform Modules

Creating and Using Modules
Organizing Configuration with Modules

Provisioning Infrastructure

AWS, Azure, and GCP Resources
Managing Infrastructure with Terraform

Terraform and Version Control

Using Git with Terraform
Collaboration Best Practices

Advanced State Management

State Locking and Consistency
Managing State Files

Advanced Modules and Workspaces

Nested Modules
Using Workspaces for Environments

Terraform with CI/CD

Integrating Terraform with Jenkins
Automating Terraform Workflows

Best Practices and Advanced Techniques

Managing and Organizing Code
Terraform Testing and Validation
Multi-Cloud Deployments

Introduction to Helm

What is Helm?
Installing Helm
Helm Architecture

Basic Helm Commands

Helm Repositories
Creating and Managing Helm Charts
Installing and Upgrading Releases

Writing Helm Charts

Chart Structure
Templates and Values
Functions and Pipelines

Managing Dependencies

Chart Dependencies
Using Requirements.yaml
Managing Dependencies with Helm

Helm Releases

Managing Releases
Rollbacks and Upgrades
Release Lifecycle Hooks

Advanced Chart Development

Advanced Templating Techniques
Using Go Templates

Helm Security

Chart Verification
Using Helm with RBAC

Continuous Delivery with Helm

Integrating Helm with CI/CD Pipelines
Helm and GitOps

Introduction to ArgoCD

What is ArgoCD?
Installing ArgoCD
ArgoCD Architecture

Basic ArgoCD Concepts

Applications
Projects
Repositories

ArgoCD CLI and UI

Using ArgoCD CLI
Navigating the ArgoCD UI

Deploying Applications with ArgoCD

Application Definitions
Sync Policies
Automated Sync

ArgoCD and GitOps

Introduction to GitOps
Using ArgoCD for GitOps

Managing Application Lifecycles

Sync and Rollback Strategies
Application Health Monitoring

Advanced Application Management

ArgoCD ApplicationSets
Managing Multiple Clusters

ArgoCD Security

RBAC in ArgoCD
Securing ArgoCD Deployments

Integrating ArgoCD with CI/CD

ArgoCD and Jenkins
Advanced GitOps Workflows

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Who can learn this course

This course is suitable for a diverse range of individuals, including:

DevOps Engineers: Professionals involved in the development and operations lifecycle, aiming to streamline application deployment and management.
Software Developers: Those looking to containerize and deploy applications consistently across different environments using Docker and Kubernetes.
System Administrators: Individuals responsible for maintaining and scaling applications in production environments.
IT Operations Professionals: Those interested in automating deployment, scaling, and management of containerized applications.
Cloud Architects: Professionals designing cloud-native applications and leveraging containerization and orchestration for scalability.
Students and Enthusiasts: Individuals keen on acquiring skills in containerization and orchestration for modern software development practices.

The Docker & Kubernetes course is designed to cater to both beginners and professionals with some prior knowledge, offering a comprehensive understanding of these technologies for efficient and scalable application deployment.

Average package of course (Docker & Kubernetes)

100% Avg
salary hike

2.45 - 5L Avg
Package

Training Features

Comprehensive Course Curriculum

Elevate your career with essential soft skills training for effective communication, leadership, and professional success.

Experienced Industry Professionals

Learn from trainers with extensive experience in the industry, offering real-world insights.

24/7 Learning Access

Enjoy round-the-clock access to course materials and resources for flexible learning.

Comprehensive Placement Programs

Benefit from specialized programs focused on securing job opportunities post-training.

Hands-on Practice

Learn by doing with hands-on practice, mastering skills through real-world projects

Lab Facility with Expert Mentors

State-of-the-art lab facility, guided by experienced mentors, ensures hands-on learning excellence in every session

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Reviews

Completed the AWS DevOps course, gaining in-depth knowledge of Docker and Kubernetes, along with tools like Ansible, Jenkins, and Terraform for easy retention.

Dinu Dinesh