Docker and Kubernetes Essentials
Docker and Kubernetes Essentials course by Flexmind is curated by top industry experts. This Kubernetes course helps you in clearing the Kubernetes Exam on the first attempt. This interactive Docker and Kubernetes Essentials course is created to help you learn how to set up your own Kubernetes Cluster, configure networking between pods and secure the cluster against unauthorized access. This Kubernetes training online is live, instructor-led, and helps you master key Kubernetes concepts, with hands-on demonstrations.
Docker provides the ability to package and run an application in a loosely isolated environment called a container. The isolation and security allow you to run many containers simultaneously on a given host. Want to learn Kubernetes? Get an in-depth primer on this powerful system for managing containerized applications.
Module 1: Introduction to Dockers & Containers
Learning Objectives:
This module introduces containers and the benefits of using containers as opposed to VMs. You will learn use cases of Containers and Docker and be able to describe Docker architecture and its components.
- Evolution of Dockers & Containers
- Differences between VM’s and Containers
- Docker Use Cases
- Benefits of using Containers
- Working with Docker Commands
- Case Study
Lab Exercises:
Learn various Docker Commands for creating, stopping, removing, and copying containers.
Module 2: Docker Installation & Architecture
Learning Objectives:
In this module, you will explore the prerequisites for installing Dockers. Learn to install & configure Docker toolbox on Windows OS and install & configure Docker on Amazon EC2. Validate the Docker installation. Get deeper into Docker Architecture and components.
- Installing & Configuring Docker toolbox on Windows
- Installing & configuring Docker in Amazon Linux EC2
Lab Exercises:
Installing & Configuring Dockers.
Module 3: Docker Images, Docker Volumes & Docker Networking
Learning Objectives:
Create images by starting a container using a base image and interactively make changes to it, create a Docker file that will let Docker build the image automatically. Learn to create and work with Docker Volumes. Understand the three types of Docker Network – Local, Host and Bridge.
- Images & Layers
- Container Layers
- Working with Docker Images
- Building own Images using Dockerfile
- Working with Docker Volumes and Docker Networking
Lab Exercises:
Pulling and pushing images. Creating own images using Dockerfile and push to Docker Hub, Creating Automated Build using Docker Hub, Creating Docker Volumes and copying the data, Creating Bridge Network for container communication.
Module 4: Docker Registries
Learning Objectives:
Learn to create Public and Private Repositories using Docker Hub. You will also be able to share your image using Docker Hub, deploy your own Docker images registry, and set up your own automated build.
- Overview of Registries- Public and Private
- Deep Dive into Docker Hub
- Other Public & Private Registries
- Case Study
Lab Exercises:
- Creating Public and Private Repositories using Docker Hub
- Share your image using Docker Hub
- Deploy your own Docker images registry
- Set up your own automated build
- Creating Organizations and teams in Docker Hub
Module 5: Docker Orchestration
Learning Objectives:
Get an overview of Docker Compose & Swarm. Learn to build High Availability Structures needed for critical applications, and understand how to filter and schedule nodes for optimal deployment
- Overview of Docker Compose
- Defining and running multi-container applications
- Overview of Docker Swarm
- Build your own Docker Swarm Cluster
- Filtering & Scheduling Containers
- Case Study
Lab Exercises:
- Building multi-container applications using Docker Compose.
- Creating Swarm cluster and adding the worker nodes.
- Creating Services and scheduling nodes for optimal deployment
Module 6: Introduction to Kubernetes
Learning Objectives:
Learn what / why Kubernetes is required and study Kubernetes Use Cases.
- Evolution of Kubernetes
- What is Kubernetes
- Kubernetes Use Cases
- Differences between Kubernetes and Docker Swarm
Module 7: Kubernetes Architecture
Learning Objectives:
Understand the key components of Kubernetes Cluster- Master, Nodes and Add-ons.
- Understand Kubernetes Architecture
- Introduction to Kubernetes Master
- Components of Kubernetes Master
- Introduction to Node Components
Module 8: Installing Kubernetes
Learning Objectives:
Gain knowledge on installing & Kubernetes Cluster on VirtualBox, AWS Cloud and Google Cloud Platforms.
- Installing & Configuring Kubernetes locally via Minikube
- Creating Kubernetes Cluster in Google Cloud
- Creating Kubernetes Cluster in AWS Cloud
Lab Exercises:
- Creating 2 VM’s in Virtual Box
- Download kubectl and minikube and install them
- Start Minikube & Deploy sample deployment and expose to and external network,
- List all the nodes of the clusters
- Stopping and deleting the cluster
- Working with Kubernetes Dashboard
Module 9: Deploying applications on Kubernetes Cluster
Learning Objectives:
Here you will understand about Pods and how to deploy an app using kubectl commands.
- Introduction to Pods
- Pods Lifecycle
- Working with Pods to manage multiple containers
- Deploying Pods via Replication Controllers
Lab Exercises:
- Deploy containerized application image in minikube
- Viewing Pods and Nodes
Module 10: Services, Labels and Replica Sets
Learning Objectives:
This module helps you to learn what is a Service, how to scale up and down the application replicas, provide updates to the application and autoscaling containers.
- Overview of Services
- Labels and Selectors
- Scale-out deployment using Replicas
- Horizontal Pod Autoscaling
- Load Balancing
- Rolling Updates
Lab Exercises:
- Creating a Service
- Using Service to expose App
- Working with labels
- Scale-Up / Down the deployment to maximum and minimum replicas
- Check the rollout status and rollback an update
- Delete the services created
Module 11: Managing State with Deployments
Learning Objectives:
On completing this module, you will be able to deploy both stateless applications and stateful applications. You will also be able to scale the stateful sets and provide rolling updates.
- Working with Stateful Set
- Pod Management policies
- On Delete & Rolling Update Strategies
- Cluster DNS
- Persistent Volumes
Lab Exercises:
- Deploy Stateful and Stateless applications
- Creating Persistent Volumes
There are no prerequisites for attending this course, but it would be beneficial for you to have the following knowledge:
- Virtualization
- Linux & Networking Fundamentals
- Experience with installing and configuring applications
Course Duration: 4 Days (40 Hours)
Training Mode: Instructor-Led Online (On-Demand)
Course Fee: Contact Us