A complete reference course for the Application developers and DevOps eeers to work with various AWS DevOps tools

What you'll learn
CodeCommit, Git operations like creating branches, pull requests, check conflicts and merge
Check code automated code review using CodeGuru
Create artifactory for your software packages using CodeArtifact
Create a repository to store docker images using ECR
Pull image from repository and deploy
Use CodeBuild to build docker image and push to ECR
Create ECS cluster and use Fargate to deploy springboot service
How rolling update deployment works
Create an automated flow for CICD using CodePipeline
Add a manual approval stage in CodePipeline
Use CodeDeploy service in CodePipeline to deploy docker image from ECR to Fargate
Route traffic through load balancer
Complete hands on experience based on actual production scenario
Multiple assignments per sections to help practicing learners
ECS Rolling update Lab
ECS Blue Green Deployment using CodeDeploy Lab
EKS lab. Create cluster and worker nodes, Install kubectl in local system and connect to EKS cluster

Requirements
AWS fundamental knowledge is required. This course is majorly Lab practice for AWS developers and architects
The course will be most effective for IT developers and system eeers who follows DevOps

Description
I'm excited to share my experience through multiple hands on labs. All are based on actual scenarios. This course covers essential knowledge of implementing and using various aws tools for continuous integration and deployment. This course has been created considering the need of aws cloud developers who develop application as well as work on DevOps environment.

Overview
Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Course Objectives

Section 2: Pre-requisites and Resources

Lecture 3 Install AWS CLI

Lecture 4 User Spring Initializr to create a springboot app

Lecture 5 Bonus: Develop a springboot app to connect DynamoDB

Lecture 6 Resources

Section 3: CodeCommit

Lecture 7 Create CodeCommit repository

Lecture 8 CodeCommit operations, Pull requests, Merge

Lecture 9 Course Rating

Lecture 10 CodeCommit pricing

Section 4: CodeGuru

Lecture 11 CodeGuru overview and purpose

Section 5: CodeArtifact

Lecture 12 CodeArtifact Lab

Lecture 13 CodeArtifact pricing

Section 6: Elastic Container Registry (ECR)

Lecture 14 ECR Lab

Lecture 15 ECR pricing

Section 7: CodeBuild

Lecture 16 CodeBuild Lab

Lecture 17 CodeBuild pricing

Section 8: Routing traffic to docker containers

Lecture 18 Load balancer and Target group Lab

Section 9: Elastic Container Service (ECS)

Lecture 19 Deploy springboot service in Fargate Cluster

Section 10: CodePipeline and CodeDeploy

Lecture 20 Create CodePipeline using CodeDeploy

Lecture 21 Rolling update

Lecture 22 CodePipeline pricing

Lecture 23 CodeDeploy Pricing

Section 11: ECS Deployment Types and Strategy

Lecture 24 ECS Deployment Types

Lecture 25 ECS Blue Green Deployment Lab

Lecture 26 Course rating

Section 12: Quick Revision

Lecture 27 Quick Revision

Section 13: EKS Cluster and Worker nodes

Lecture 28 Create EKS Cluster

Lecture 29 Install kubectl

Lecture 30 Commands and references

Lecture 31 Update kubeconfig and connect to EKS cluster

Lecture 32 Create EKS worker nodes

Section 14: Closing note

Lecture 33 Closing note

AWS developers,IT Eeers,Software developers,Solutions Architects,Cloud Developers,DevOps Eeers

HomePage:

https://www.udemy.com/course/aws-cicd-automation-complete-reference-for-prod-ready-system/

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