AWS CodePipeline Step by Step

AWS CodePipeline Step by Step, available at $94.99, has an average rating of 4.65, with 78 lectures, based on 1645 reviews, and has 11256 subscribers.

You will learn about Create CI/CD pipelines using AWS CodePipeline to automate your deployments to Amazon EC2, ECS and S3. Use GitHub repositories, AWS CodeBuild, AWS CodeDeploy with AWS CodePipeline. Learn AWS CodeDeploy in-place all-at-once, rolling and blue-green deployments with EC2 auto scaling and load balancing. Build your Docker images With CodeBuild and deploy them to ECS as rolling deployments with CodePipeline. Use AWS CloudFormation with AWS CodePipeline to create and delete stacks automatically in each execution. Configure manual approval actions and pipeline notifications on your pipelines. View AWS CodeBuild build logs and AWS CodeDeploy deployment logs. Understand how AWS CodePipeline works in detail. This course is ideal for individuals who are Developers, system administrators or any AWS enthusiasts who would like to learn AWS CodePipeline to create their CI/CD workflows. or Developers, system administrators or any AWS enthusiasts who deploy to Amazon EC2 or S3 and who would like to replace manual deployment processes with automation on AWS in order to avoid human errors. or Developers, system administrators or any AWS enthusiasts who would like to minimize deployment failures on AWS. It is particularly useful for Developers, system administrators or any AWS enthusiasts who would like to learn AWS CodePipeline to create their CI/CD workflows. or Developers, system administrators or any AWS enthusiasts who deploy to Amazon EC2 or S3 and who would like to replace manual deployment processes with automation on AWS in order to avoid human errors. or Developers, system administrators or any AWS enthusiasts who would like to minimize deployment failures on AWS.

Enroll now: AWS CodePipeline Step by Step

Summary

Title: AWS CodePipeline Step by Step

Price: $94.99

Average Rating: 4.65

Number of Lectures: 78

Number of Published Lectures: 76

Number of Curriculum Items: 78

Number of Published Curriculum Objects: 76

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

Create CI/CD pipelines using AWS CodePipeline to automate your deployments to Amazon EC2, ECS and S3.

Use GitHub repositories, AWS CodeBuild, AWS CodeDeploy with AWS CodePipeline.

Learn AWS CodeDeploy in-place all-at-once, rolling and blue-green deployments with EC2 auto scaling and load balancing.

Build your Docker images With CodeBuild and deploy them to ECS as rolling deployments with CodePipeline.

Use AWS CloudFormation with AWS CodePipeline to create and delete stacks automatically in each execution.

Configure manual approval actions and pipeline notifications on your pipelines.

View AWS CodeBuild build logs and AWS CodeDeploy deployment logs.

Understand how AWS CodePipeline works in detail.

Who Should Attend

Developers, system administrators or any AWS enthusiasts who would like to learn AWS CodePipeline to create their CI/CD workflows.

Developers, system administrators or any AWS enthusiasts who deploy to Amazon EC2 or S3 and who would like to replace manual deployment processes with automation on AWS in order to avoid human errors.

Developers, system administrators or any AWS enthusiasts who would like to minimize deployment failures on AWS.

Target Audiences

Developers, system administrators or any AWS enthusiasts who would like to learn AWS CodePipeline to create their CI/CD workflows.

Developers, system administrators or any AWS enthusiasts who deploy to Amazon EC2 or S3 and who would like to replace manual deployment processes with automation on AWS in order to avoid human errors.

Developers, system administrators or any AWS enthusiasts who would like to minimize deployment failures on AWS.

August 2024 Update:Because AWS CodeCommit was deprecated by AWS, we replaced it with GitHub in Section 2!

Would you like to automate your software deployment process on AWS?

Welcome to learn how to create CI/CD pipelines with AWS CodePipeline and automate your deployments to S3, EC2, and ECS from a senior AWS-certified DevOps engineer. You will learn with hands-on examples and detailed explanations!

In this course, you will learn AWS CodePipeline step by step:

Begin with AWS CodePipeline basics by creating a pipeline between two Amazon S3 buckets as the source and deploy locations.

Trigger your pipelines on CodePipeline using GitHub repositoriesand Git pushes.

Build and test your code automatically with AWS CodeBuild in each pipeline execution. Understand how Code Build works with AWS CodePipeline.

Integrate AWS CodeDeploy with AWS CodePipeline to deploy to Amazon EC2 instances. You will start with a single instance and proceed with multiple instances behind auto-scaling and load balancing. You will also learn different AWS Code Deploy deployment types and configurations, such as in-place rolling and blue-green.

Use AWS CloudFormation with AWS CodePipeline to create and delete stacks automatically in each pipeline execution. You will also learn to define manual approval actions and configure pipeline notifications.

Learn to build your Docker images with AWS CodeBuildand AWS CodePipeline and deploy them to Amazon ECR or Docker Hub automatically. Deploy your Docker containers to Amazon ECS as rolling deploymentsusing the direct integration of AWS Code Pipeline with Amazon ECS.

You will also learn how to check your build and deployment logs in case of failures with examples.

What will you achieve after this course?

?You will understand how AWS CodePipeline works in detail.

? You will be able to create pipelines on CodePipeline triggered from private GitHub repositories.

? You will be able to use AWS Code Pipeline with other AWS developer tools, AWS CodeBuild, and AWS CodeDeploy, to create your CI/CD pipelines.

?You will be able to replace your manual deployment processes with automation to avoid human errors and minimize deployment failures.

?You will be able to apply one of the core practices of DevOps, Continuous Integration / Continuous Deployment / Continuous Delivery, in your projects on AWS.

Why learn from me?

? AWS verified my knowledge and experience at the top level. I am a senior AWS consultant holding AWS Certified Solutions Architect – Professionaland AWS Certified DevOps Engineer – Professionalcertifications in addition to three core Associate-level AWS certificates.

? I have a software engineering background, a BS degree in Computer Engineering, and more than 17 years of professional experiencein corporates and startups.

? I have been using AWS since 2013. I have built dozens of CI/CD pipelines on AWS using AWS Code Pipeline, AWS CodeCommit, AWS CodeBuild, and AWS CodeDeploy for my clients and projects.

? I learned by doing, and I teach both theory and practice according to the AWS best practices. I explain the features with hands-on examples and why to use them with advantages and disadvantages. So you will benefit from my experience as well as my knowledge.

Is this course for you?

I designed this course for beginners to AWS CodePipeline and assume that you have no or little experience in it.

This course is not for beginners of AWS.You should have intermediate-level AWS knowledge of core services.

Although I provide hands-on examples during the lectures, you should have basic Git knowledge and experience using Git commands from the command line.

I mostly use a basic Angular application in our practices, but you do not need to know Angular for them. We focus on AWS CodePipeline, not on any particular programming language or framework. The techniques taught in this course also apply to others.

I recommend you watch the free previews before enrolling.

Join this course and start learning AWS CodePipeline step by step with hands-on examples!

Course Curriculum

Chapter 1: Introduction – AWS CodePipeline Basics

Lecture 1: Course Introduction

Lecture 2: What is AWS CodePipeline?

Lecture 3: AWS Region Used in the Course

Lecture 4: Creating Your First Pipeline Between S3 Buckets

Lecture 5: Triggering Your Pipeline by Updating Your Source

Lecture 6: Viewing Your Pipeline Details and Execution History

Lecture 7: Editing Your Pipeline & Triggering Manually

Lecture 8: Deleting Your Pipeline

Chapter 2: Using Git Repositories as Source Locations

Lecture 1: Replacing AWS?CodeCommit with GitHub

Lecture 2: A Brief Introduction to Git on CodePipeline

Lecture 3: (NEW) Connecting Your GitHub Account to AWS Developer Tools

Lecture 4: (NEW) Creating a Pipeline from Your GitHub Repository

Lecture 5: (NEW) Triggering Your Pipeline with Git Pushes (GitHub)

Lecture 6: Regarding the Hands-on Examples after Section 2

Chapter 3: Building Your Code With AWS CodeBuild

Lecture 1: Section 3 Introduction

Lecture 2: What is AWS CodeBuild?

Lecture 3: (NEW) Preparing a Repository & a Deployment Bucket for Your New Pipeline

Lecture 4: (NEW) Creating a Pipeline with a Build Stage

Lecture 5: Creating a Buildspec File for Your Builds

Lecture 6: The Lifecycle of a Build

Lecture 7: Viewing the Logs on Build Failures

Lecture 8: Why Need Automated Tests in Your Pipelines?

Lecture 9: Adding a Test Action with CodeBuild

Chapter 4: Deploying to EC2 Instances With AWS CodeDeploy

Lecture 1: Section 4 Introduction

Lecture 2: What is AWS CodeDeploy?

Lecture 3: Creating an IAM Role for EC2 Instances for Deployments

Lecture 4: Configuring an EC2 Instance for AWS CodeDeploy

Lecture 5: Creating a CodeDeploy Deployment Group for Tagged EC2 Instances

Lecture 6: Adding a CodeDeploy Deploy Action to Your Pipeline

Lecture 7: Creating an Appspec File for Deployments to EC2 Instances

Lecture 8: The Deployment Lifecycle to EC2 Instances Without a Load Balancer

Lecture 9: Viewing Deployment Logs on Your EC2 Instance

Lecture 10: Streaming Deployment Logs to CloudWatch Logs

Lecture 11: Creating a Deployment Group with Auto Scaling & Load Balancing

Lecture 12: In-Place All-At-Once Deployments With Auto Scaling & Load Balancing

Lecture 13: What if Your Auto Scaling Group Scales Out?

Lecture 14: In-Place Rolling Deployments With Auto Scaling & Load Balancing

Lecture 15: Automated Rollbacks on In-Place Rolling Deployment Failures

Lecture 16: Blue-Green Deployments With Auto Scaling & Load Balancing

Lecture 17: What If Your Blue-Green Deployment Fails?

Chapter 5: CloudFormation Deploy Actions, Manual Approvals and Notifications

Lecture 1: Section 5 Introduction

Lecture 2: Adding a CloudFormation Deploy Action to Your Pipeline

Lecture 3: Adding a CodeDeploy Deploy Action for Staging

Lecture 4: Adding a Manual Approval Action to Your Pipeline

Lecture 5: Using Action Variables on Your Pipeline

Lecture 6: Adding a CloudFormation Delete Stack Action to Your Pipeline

Lecture 7: Pipeline Execution Modes

Lecture 8: Superseded Pipeline Executions

Lecture 9: Creating Notification Rules on Your Pipeline

Chapter 6: Building Docker Images & ECS Rolling Deployments With AWS CodePipeline

Lecture 1: Section 6 Introduction

Lecture 2: Introduction to Docker & Amazon ECS for AWS CodePipeline

Lecture 3: Creating a CodeBuild Buildspec for Docker Builds

Lecture 4: Creating a Pipeline to Build Your Docker Image

Lecture 5: Secrets Manager Environment Variables on AWS CodeBuild

Lecture 6: Parameter Store Environment Variables on AWS CodeBuild

Lecture 7: Pushing Docker Images to Amazon ECR with AWS Codebuild

Lecture 8: Creating a Task Definition for Your Docker Image

Lecture 9: Creating an ECS Cluster for Your Services

Lecture 10: Creating an ECS Service on Fargate for Rolling Deployments

Lecture 11: Adding an Amazon ECS Standard Deploy Action to Your Pipeline

Lecture 12: Tagging Docker Images With Commit IDs

Lecture 13: Using ECR Public Gallery in Your Docker Builds

Lecture 14: What If Your ECS Rolling Deployment Fails?

Lecture 15: Enabling Automated Rollbacks on ECS Rolling Deployments

Lecture 16: Min & Max Running Tasks in ECS Rolling Deployments

Lecture 17: Creating ECS Services on ASG Capacity Providers for Rolling Deployments

Lecture 18: ECS Rolling Deployments on Auto Scaling Group Capacity Providers

Chapter 7: OPTIONAL – ARCHIVED: Using AWS CodeCommit Repositories as Source Locations

Lecture 1: About The Archived AWS CodeCommit Lectures

Lecture 2: What is AWS CodeCommit?

Lecture 3: Creating Your First AWS CodeCommit Repository

Lecture 4: Connecting to Your CodeCommit Repository via HTTPS

Lecture 5: Creating a Pipeline From Your CodeCommit Repository

Lecture 6: Triggering Your Pipeline Using Git Commands (CodeCommit)

Lecture 7: Editing Files in Your Repository Using CodeCommit Console

Chapter 8: Conclusion

Lecture 1: Course Conclusion

Lecture 2: Bonus Lecture: Join My Other Courses!

Instructors

Emre Yilmaz ? AWS Certified DevOps Engineer ? Solutions Architect
Senior AWS Consultant

Rating Distribution

1 stars: 9 votes

2 stars: 14 votes

3 stars: 108 votes

4 stars: 547 votes

5 stars: 969 votes

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