CI/CD with AWS DevOps Tools (Jul 2023)

CI/CD with AWS DevOps Tools (Jul 2023), available at $44.99, has an average rating of 3.95, with 28 lectures, 6 quizzes, based on 15 reviews, and has 185 subscribers.

You will learn about Create Basic Pipeline between S3 Buckets Trigger the Pipeline by Updating the Source Create and connect to AWS CodeCommit Repository Create a Pipeline from CodeCommit Repository Trigger the Pipeline Using Git Commands Create a Buildspec File for the Builds Configure an EC2 Instance for CodeDeploy Deployments Create Application and Deployment Group for Tagged EC2 Instances Add CodeDeploy Deploy Action to Pipeline Create CloudFormation using User Data Invoke AWS Lambda Function in CodePipeline This course is ideal for individuals who are DevOps Engineers or DevOps Developers or Cloud Application Developers or Cloud Architects It is particularly useful for DevOps Engineers or DevOps Developers or Cloud Application Developers or Cloud Architects.

Enroll now: CI/CD with AWS DevOps Tools (Jul 2023)

Summary

Title: CI/CD with AWS DevOps Tools (Jul 2023)

Price: $44.99

Average Rating: 3.95

Number of Lectures: 28

Number of Quizzes: 6

Number of Published Lectures: 28

Number of Published Quizzes: 6

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: ₹3,999

Quality Status: approved

Status: Live

What You Will Learn

Create Basic Pipeline between S3 Buckets
Trigger the Pipeline by Updating the Source
Create and connect to AWS CodeCommit Repository
Create a Pipeline from CodeCommit Repository
Trigger the Pipeline Using Git Commands
Create a Buildspec File for the Builds
Configure an EC2 Instance for CodeDeploy Deployments
Create Application and Deployment Group for Tagged EC2 Instances
Add CodeDeploy Deploy Action to Pipeline
Create CloudFormation using User Data
Invoke AWS Lambda Function in CodePipeline

Who Should Attend

DevOps Engineers
DevOps Developers
Cloud Application Developers
Cloud Architects

Target Audiences

DevOps Engineers
DevOps Developers
Cloud Application Developers
Cloud Architects

AWS provides services that help the developers to practice DevOps at ease and are built for use with AWS resources. These tools automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high velocity that is enabled by DevOps.

In this course, you will learn the concepts of AWS CodePipeline, AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, CloudFormation Deploy Action, etc. along with their features, benefits. Further you will get to know about Lambda Functions and how to create a Lambda functions.

You will learn to setup AWS CodePipeline, understand the Continuous delivery and Continuous integration, CodePipeline concepts with DevOps pipeline, the creation of Pipeline Between S3 Buckets, setting up for AWS CodeCommit, create and connect to the AWS CodeCommit repository via HTTPS, trigger the pipeline using Git commands.

You should be able to understanding the working of AWS CodeBuild, AWS CodeBuild Buildspec file. You will know how to create the Pipeline with a Build Stage, Buildspec File for the Builds, analyze the logs of Build failure, Source Code Stored for CodeBuild.

Additionally, you will explore and understand about of CodeDeploy Compute Platforms, configure an EC2 Instance for CodeDeploy, CodeDeploy Compute Platforms, types of deployments in CodeDeploy.

Also, you will learn to add CodeDeploy Deploy Action to Pipeline, explore on AWS CloudFormation, learn to update a stack with change sets, Cloudformation update stack, etc. You will be introduced to AWS Lambda with AWS CodePipeline, Lambda functions used in pipelines, AWS Lambda CodePipeline Permissions and how to invoke AWS Lambda function in CodePipeline.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: AWS CodePipeline

Lecture 1: Lesson 1: Introduction to AWS CodePipeline

Lecture 2: Practice 1-1: Creating the Basic Pipeline Between S3 Buckets

Lecture 3: Practice 1-2: Triggering the Pipeline by Updating the Source

Lecture 4: Practice 1-3: Viewing Pipeline Details and Execution History

Lecture 5: Practice1-4: Editing Pipeline and Triggering Manually

Lecture 6: Practice1-5: Deleting the Pipeline

Chapter 3: AWS CodeCommit Repositories

Lecture 1: Lesson 2: Using AWS CodeCommit repositories

Lecture 2: Practice 2-1: Create the AWS CodeCommit Repository

Lecture 3: Practice 2-2: Connect to CodeCommit Repository via HTTPS

Lecture 4: Practice 2-3: Create a Pipeline from CodeCommit Repository

Lecture 5: Practice 2-4: Trigger the Pipeline Using Git Commands

Lecture 6: Practice 2-5: Edit the Files in Repository Using CodeCommit Console

Chapter 4: AWS CodeBuild

Lecture 1: Lesson 3: Build Code Using AWS CodeBuild

Lecture 2: Practice 3-1: Create a Pipeline with a Build Stage

Lecture 3: Practice 3-2: Create a Buildspec File for the Builds

Lecture 4: Practice 3-3: View Logs on Build Failures

Chapter 5: AWS CodeDeploy

Lecture 1: Lesson 4: Deploying to EC2 Instance Using AWS CodeDeploy

Lecture 2: Practice 4-1: Configure an EC2 Instance for CodeDeploy Deployments

Lecture 3: Practice 4-2: Create an Application and Deployment Group for Tagged EC2 Instance

Lecture 4: Practice 4-3: Add CodeDeploy Deploy Action to Pipeline

Lecture 5: Practice 4-4: Create an Appspec File for Deployments to EC2 Instance

Chapter 6: AWS CloudFormation

Lecture 1: Lesson 5: Configuration Management & Infra as Code Using AWS CloudFormation

Lecture 2: Practice 5-1: Create Stack in CloudFormation

Lecture 3: Practice 5-2: CloudFormation Update and Delete Stack

Lecture 4: Practice 5-3: CloudFormation using User Data

Chapter 7: AWS CodePipeline

Lecture 1: Lesson 6: Invoking Lambda Function in AWS CodePipeline

Lecture 2: Practice 6-1: Invoke AWS Lambda Function in CodePipeline

Instructors

Proton Expert Systems & Solutions
Proton Expert Systems & Solutions

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 1 votes
4 stars: 4 votes
5 stars: 8 votes

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