开源软件名称（OpenSource Name）：

stacksimplify/aws-eks-kubernetes-masterclass

开源软件地址(OpenSource Url)：

https://github.com/stacksimplify/aws-eks-kubernetes-masterclass

开源编程语言(OpenSource Language)：

Java 96.9%

开源软件介绍(OpenSource Introduction)：

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 X-Ray
13.	AWS CloudWatch - Container Insights
14.	AWS CloudWatch - Log Groups & Log Insights
15.	AWS CloudWatch - Alarms
16.	AWS Route53
17.	AWS Certificate Manager
18.	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.	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 write kubernetes manifests with confidence after going through live template writing sections
You will learn 30+ kubernetes concepts and use 18 AWS Services in combination with EKS
You will learn Kubernetes Fundamentals in both imperative and declarative approaches
You will learn writing & deploying k8s manifests for storage concepts like storage class, persistent volume claim pvc, mysql and EBS CSI Driver
You will learn to switch from native EBS Storage to RDS Database using k8s external name service
You will learn writing and deploying load balancer k8s manifests for Classic and Network load balancers
You will learn writing ingress k8s manifests by enabling features like context path based routing, SSL, SSL Redirect and External DNS.
You will learn writing k8s manifests for advanced fargate profiles and do mixed mode workload deployments in both EC2 and Fargate Serverless
You will learn using ECR - Elastic Container Registry in combination with EKS.
You will implement DevOps concepts with AWS Code Services like CodeCommit, CodeBuild and CodePipeline
You will implement microservices core cocepts like Service Discovery, Distributed Tracing using X-Ray and Canary Deployments
You will learn to enable Autoscaling features like HPA,VPA and Cluster Autoscaler
You will learn to enable monitoring and logging for EKS cluster and workloads in cluster using CloudWatch Container Insights
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 slowly start by learning Docker Fundamentals and move on to Kubenetes.
You will master many kubectl commands over the process

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 or kubernetes knowledge to start this course.

Who are your target students?

AWS Architects or Sysadmins or Developers who are planning to master Elastic Kubernetes Service (EKS) for running applications on Kubernetes
Any beginner who is interested in learning kubernetes on cloud using AWS EKS.
Any beginner who is interested in learning Kubernetes DevOps and Microservices deployments on Kubernetes