Microservices using Docker & Kubernetes

Tools Covered - Microservices, Docker & Kubernetes, Docker Compose, Docker Machine, Docker for Windows

Technology - Java, JavaScript, Dotnet, mySql, IIS

Platform - Windows 2016 (40%) & RHEL 7 (60%)

Number of Days - 5 Day

Cliet Name - ABB Banaglore

Date and Time - 09:30 AM to 6:00 PM

Mode - Classroom

Trainer - Rajesh Kumar

Day 1 Agenda - Docker Essential

 

Time	Theme	Mode
09:30 AM - 11:15 AM	The Rise of the Virtual Machine Installing and Updating Docker	Discussion & Demo & Lab
11:15 AM - 11:30 M	BREAK
11:30 AM - 01:00 PM	Docker Eseential Commands Understanding Docker Engine	Discussion & Demo & Lab
01:00 PM - 02:00 PM	LUNCH
02:00 PM - 03:30 PM	Deepdive into Docker Image Understading Docker Repos	Discussion & Demo & Lab
03:30 PM - 03:45 PM	BREAK
03:45 PM - 06:00 PM	Deepdive into Docker Container Building Docker Images	Discussion & Demo & Lab

Day 2 Agenda - Docker Advance

 

Time	Theme	Mode
09:30 AM - 11:15 AM	Deepdive into Docker Container Building Docker Images	Discussion & Demo & Lab
11:15 AM - 11:30 M	BREAK
11:30 AM - 01:00 PM	Docker for windows	Discussion & Demo & Lab
01:00 PM - 02:00 PM	LUNCH
02:00 PM - 03:30 PM	Troubleshooting & Debugging Containers Security and QoS for Docker Containers	Discussion & Demo & Lab
03:30 PM - 03:45 PM	BREAK
03:45 PM - 06:00 PM	Orchestrating Docker using Docker Compose Orchestrating Docker using Docker Machine Dockerizing Your Microservices	Discussion & Demo & Lab

Day 3 Agenda - Kubernetes Essential

 

Time	Theme	Mode
09:30 AM - 11:15 AM	Understanding Kubernetes Architecture Understand Kubernetes concepts	Discussion & Demo & Lab
11:15 AM - 11:30 M	BREAK
11:30 AM - 01:00 PM	Configure Kubernetes Deep Dive into pod Deep Dive into labels	Discussion & Demo & Lab
01:00 PM - 02:00 PM	LUNCH
02:00 PM - 03:30 PM	Deep Dive into replication controllers Deep Dive into services Working with volumes	Discussion & Demo & Lab
03:30 PM - 03:45 PM	BREAK
03:45 PM - 06:00 PM	Working with secrets Working with names Working with namespaces Working with labels and selectors Kubernetes networking	Discussion & Demo & Lab

Day 4 Agenda - Kubernetes Advance

 

Time	Theme	Mode
09:30 AM - 11:15 AM	Kubernetes networking Networking Pods for Container Connectivity	Discussion & Demo & Lab
11:15 AM - 11:30 M	BREAK
11:30 AM - 01:00 PM	Creating a Multinode Kubernetes Cluster Starting Containers on a Kubernetes Cluster with Pods	Discussion & Demo & Lab
01:00 PM - 02:00 PM	LUNCH
02:00 PM - 03:30 PM	Taking Advantage of Labels for Querying Kubernetes Using a Replication Controller to Manage the Number of Replicas of a Pod	Discussion & Demo & Lab
03:30 PM - 03:45 PM	BREAK
03:45 PM - 06:00 PM	Taking Advantage of Labels for Querying Kubernetes Using a Replication Controller to Manage the Number of Replicas of a Pod	Discussion & Demo & Lab

Day 5 Agenda - Microservices Essential

 

Time	Theme	Mode
09:30 AM - 11:15 AM	Microservices Fundamentals Microservices Patterns	Discussion & Demo & Lab
11:15 AM - 11:30 M	BREAK
11:30 AM - 01:00 PM	What and When to test Preparing for deployment Monitoring Microservice Performance	Discussion & Demo & Lab
01:00 PM - 02:00 PM	LUNCH
02:00 PM - 03:30 PM	The latest release of Kubernetes inside-out Create your own microservice templates from scratch Scale and update your services with zero downtime	Discussion & Demo & Lab
03:30 PM - 03:45 PM	BREAK
03:45 PM - 06:00 PM	Extract logs and metrics from your Kubernetes node Deploy a blank Kubernetes cluster on empty VMs Know how to make your cluster highly available	Discussion & Demo & Lab

Agenda in Details

• Docker Essentials on Windows Docker Essentials on Windows -> Agenda Tab
• Docker for Linux -> Agenda Tab
• Kubernets Essential -> Agenda Tab
• Microservices Essential -> Agenda Tab

How this training will benefit to Developers?

• Docker is not just for deployment, it’s great for development too. As part of this session, we will cover the following scenarios as well which will help Developement team to speed the programming work.
• Consistent development environments for your entire team. All developers use the same OS, same system libraries, same language runtime, no matter what host OS they are using
• The development environment is the exact same as the production environment. Meaning you can deploy and it will “just work”.
• If you’re having a hard time building something (by build, I mean compile), build it inside Docker. This primarily applies to developers using MacOS and Windows.
• Docker Compose help to create a Application Stake for Developers and QA in very less time.
• You only need Docker to run time environment. You don’t need to install a bunch of language environments on your machine. Such as to run a Perl script but don’t have Perl installed? Run it in a Perl Docker image.
• Deployment is easy. If it runs in your container, it will run on your server just the same. Just package up your code and deploy it on a server with the same image or push a new Docker image with your code in it and run that new image.

How this training will benefit to QA?

• Docker will help setting up Continuous Integration and Delivery which will enable testing team to deploy and test application in very less time compare of using virtual machines.
• Efficient software teams push code to production multiple times a day. But this only works with good processes in place. Pull requests, code reviews, and good test coverage are essential for enabling a fast pace and high output of new code. Docker will help QA team to enable this in no time
• Docker Compose help to create a Application Stake for Developers and QA in very less time.
• Docker allows you to run your tests in containers as well as isolate your tests in development and deployment.
• Using Docker to manage and replicate test environments in no time.

How this training will benefit to Operations?

• Use Docker to Pack and Ship Your App, Use Kubernetes to Deploy and Scale Your App. Together, using Docker and Kubernetes - You'll be able to deliver faster, but more importantly, you'll deliver in a consistent and predictable manner.
• Kubernetes eliminates infrastructure lock-in by providing core capabilities for containers without imposing restrictions. It achieves this through a combination of features within the Kubernetes platform, including Pods and Services.
• Better management through modularity - Containers allow applications to be decomposed into smaller parts with clear separation of concerns.
• Deploying and updating software at scale - The Deployment Controller simplifies a number of complex management tasks. For example:
  Scalability, Visibility, Time savings, Version control, Horizontal autoscaling, Rolling updates, Canary deployments
• Laying the foundation for cloud-native apps - Not surprising given the interest in containers, other management and orchestration tools have emerged. Popular alternatives include Apache Mesos with Marathon, Docker Swarm, AWS EC2 Container Service (ECS), and HashiCorp’s Nomad.