AWS EKS - Elastic Kubernetes Service - Masterclass

Course Modules

S.No	AWS Service Name
1.	Create AWS EKS Cluster using eksctl CLI
2.	Docker Fundamentals
3.	Kubernetes Fundamentals
4.	EKS Storage with AWS EBS CSI Driver
5.	Kubernetes Important Concepts for Application Deployments
5.1	Kubernetes - Secrets
5.2	Kubernetes - Init Containers
5.3	Kubernetes - Liveness & Readiness Probes
5.4	Kubernetes - Requests & Limits
5.5	Kubernetes - Namespaces, Limit Range and Resource Quota
6.	EKS Storage with AWS RDS MySQL Database
7.	Load Balancing using CLB & NLB
7.1	Load Balancing using CLB - AWS Classic Load Balancer
7.2	Load Balancing using NLB - AWS Network Load Balancer
8.	Load Balancing using ALB - AWS Application Load Balancer
8.1	ALB Ingress Controller - Install
8.2	ALB Ingress - Basics
8.3	ALB Ingress - Context path based routing
8.4	ALB Ingress - SSL
8.5	ALB Ingress - SSL Redirect HTTP to HTTPS
8.6	ALB Ingress - External DNS
9.	Deploy Kubernetes workloads on AWS Fargate Serverless
9.1	AWS Fargate Profiles - Basic
9.2	AWS Fargate Profiles - Advanced using YAML
10.	Build and Push Container to AWS ECR and use that in EKS
11.	DevOps with AWS Developer Tools CodeCommit, CodeBuild and CodePipeline
12.	Microservices Deployment on EKS - Service Discovery
13.	Microservices Distributed Tracing using AWS X-Ray
14.	Microservices Canary Deployments
15.	EKS HPA - Horizontal Pod Autosaler
16.	EKS VPA - Vertical Pod Autosaler
17.	EKS CA - Cluster Autosaler
18.	EKS Monitoring using CloudWatch Agent & Fluentd - Container Insights

AWS Services Covered

S.No	AWS Service Name
1.	AWS EKS - Elastic Kubernetes Service
2.	AWS EBS - Elastic Block Store
3.	AWS RDS - Relational Database Service MySQL
4.	AWS CLB - Classic Load Balancer
5.	AWS NLB - Network Load Balancer
6.	AWS ALB - Application Load Balancer
7.	AWS Fargate - Serverless
8.	AWS ECR - Elastic Container Registry
9.	AWS Developer Tool - CodeCommit
10.	AWS Developer Tool - CodeBuild
11.	AWS Developer Tool - CodePipeline
12.	AWS Developer Tool - CodePipeline
13.	AWS X-Ray
14.	AWS CloudWatch - Container Insights
15.	AWS CloudWatch - Log Groups & Log Insights
16.	AWS CloudWatch - Alarms
17.	AWS Route53
18.	AWS Certificate Manager
19.	EKS CLI - eksctl

Kubernetes Concepts Covered

S.No	Kubernetes Concept Name
1.	Kubernetes Architecture
2.	Pods
3.	ReplicaSets
4.	Deployments
5.	Services - Node Port Service
6.	Services - Cluster IP Service
7.	Services - External Name Service
8.	Services - Ingress Service
9.	Services - Ingress SSL & SSL Redirect
10.	Services - Ingress & External DNS
11.	Imperative - with kubectl
12.	Declarative - Declarative with YAML
13.	Secrets
14.	Init Containers
15.	Liveness & Readiness Probes
16.	Requests & Limits
17.	Namespaces - Imperative
18.	Namespaces - Limit Range
19.	Namespaces - Resource Quota
20.	Storage Classes
21.	Persistent Volumes
22.	Persistent Volume Claims
23.	Services - Load Balancers
24.	Annotations
25.	Canary Deployments
26.	HPA - Horizontal Pod Autoscaler
27.	VPA - Vertical Pod Autoscaler
28.	CA - Cluster Autoscaler
29.	DaemonSets
30.	DaemonSets - Fluentd for logs
31.	Volumes
32.	Config Maps

List of Docker Images on Docker Hub

Application Name	Docker Image Name
Simple Nginx V1	stacksimplify/kubenginx:1.0.0
Spring Boot Hello World API	stacksimplify/kube-helloworld:1.0.0
Simple Nginx V2	stacksimplify/kubenginx:2.0.0
Simple Nginx V3	stacksimplify/kubenginx:3.0.0
Simple Nginx V4	stacksimplify/kubenginx:4.0.0
Backend Application	stacksimplify/kube-helloworld:1.0.0
Frontend Application	stacksimplify/kube-frontend-nginx:1.0.0
Kube Nginx App1	stacksimplify/kube-nginxapp1:1.0.0
Kube Nginx App2	stacksimplify/kube-nginxapp2:1.0.0
Kube Nginx App2	stacksimplify/kube-nginxapp2:1.0.0
User Management Microservice with MySQLDB	stacksimplify/kube-usermanagement-microservice:1.0.0
User Management Microservice with H2 DB	stacksimplify/kube-usermanagement-microservice:2.0.0-H2DB
User Management Microservice with MySQL DB and AWS X-Ray	stacksimplify/kube-usermanagement-microservice:3.0.0-AWS-XRay-MySQLDB
User Management Microservice with H2 DB and AWS X-Ray	stacksimplify/kube-usermanagement-microservice:4.0.0-AWS-XRay-H2DB
Notification Microservice V1	stacksimplify/kube-notifications-microservice:1.0.0
Notification Microservice V2	stacksimplify/kube-notifications-microservice:2.0.0
Notification Microservice V1 with AWS X-Ray	stacksimplify/kube-notifications-microservice:3.0.0-AWS-XRay
Notification Microservice V2 with AWS X-Ray	stacksimplify/kube-notifications-microservice:4.0.0-AWS-XRay

List of Docker Images you build in AWS ECR

Application Name	Docker Image Name
AWS Elastic Container Registry	YOUR-AWS-ACCOUNT-ID.dkr.ecr.us-east-1.amazonaws.com/aws-ecr-kubenginx:DATETIME-REPOID
DevOps Usecase	YOUR-AWS-ACCOUNT-ID.dkr.ecr.us-east-1.amazonaws.com/eks-devops-nginx:DATETIME-REPOID

Sample Applications

• User Management Microservice
• Notification Miroservice
• Nginx Applications

What will students learn in your course?

• You will slowly start by learning Docker Fundamentals and move on to ECS or Fargate.
• You will learn Docker fundamentals by implementing usecases like download image from Docker Hub and run on local desktop and build an image locally, test and push to Docker Hub.
• You will master the Elastic Container Service core concepts like Task Definition, Task and Service.
• You will learn using ECR - Elastic Container Registry in combination with ECS.
• You will learn Docker Image Build, Push to ECR, run it as Task on ECS or Fargate Clusters.
• You will learn usage of Application Load Balancers in combination with ECS Tasks (Containers) and also implement URI based routing on ALB.
• You will understand and implement Service Autoscaling concepts of ECS
• You will implement Continuous Integration and Continuous Delivery concepts using AWS Developer Tools like CodeBuild, CodeCommit and CodePipeline.
• You will learn to master microservices deployments on ECS in combination with AWS CloudMap (for Service Discovery) and with AWS App Mesh (Service Mesh).
• You will learn to deploy Microservices Canary Deployments using AWS App Mesh.
• You will write CloudFormation Templates for Fargate Deployments starting from Network stack (VPC) to Service Stack (ECS or Fargate).
• You will learn to implement Distributed Tracing using X-Ray without making any application level code changes when AWS App Mesh (Envoy Proxy) is in place with ECS Deployments.

Are there any course requirements or prerequisites?

• You must have an AWS account to follow with me for hands-on activities.
• You dont need to have any basic Docker knowledge also to start this course. As part of Docker Fundamentals we have covered that too.

Who are your target students?

• AWS Architects or Sysadmins or Developers who are planning to master Elastic Container Service (ECS) for Docker deployments.
• Any beginner who is interested in learning Docker fundamentals and moving on to master Docker Container deployments on AWS Cloud.
• Technologists who want to implement Continuous Integration and Continuos Delivery/Deployment process (CI/CD) in AWS with Docker Container Images.

Each of my courses come with

• Amazing Hands-on Step By Step Learning Experiences
• Real Implementation Experience
• Friendly Support in the Q&A section
• 30 Day "No Questions Asked" Money Back Guarantee!

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