DevOps- CICD using AWS CodePipeline Elastic Beanstalk

DevOps: CI/CD using AWS CodePipeline & Elastic Beanstalk, available at $64.99, has an average rating of 3.45, with 62 lectures, 2 quizzes, based on 1652 reviews, and has 15440 subscribers.

You will learn about Conceptualize and design fully automated continuous integration & deployment pipelines Use AWS CodePipeline to setup CI/CD pipelines Use AWS Elastic Beanstalk to deploy applications Map any real-world application into a CI/CD pipeline Integrate custom builds / actions in AWS CodePipeline Adding AWS Lambda functions in AWS CodePipeline Monitor their AWS CodePipeline This course is ideal for individuals who are Software Engineers, Web Designers and Developers or Infrastructure, DevOps & QA teams or Tech founders, CTOs & SME owners or Someone looking to automate their web application delivery process using AWS It is particularly useful for Software Engineers, Web Designers and Developers or Infrastructure, DevOps & QA teams or Tech founders, CTOs & SME owners or Someone looking to automate their web application delivery process using AWS.

Enroll now: DevOps: CI/CD using AWS CodePipeline & Elastic Beanstalk

Summary

Title: DevOps: CI/CD using AWS CodePipeline & Elastic Beanstalk

Price: $64.99

Average Rating: 3.45

Number of Lectures: 62

Number of Quizzes: 2

Number of Published Lectures: 62

Number of Published Quizzes: 2

Number of Curriculum Items: 64

Number of Published Curriculum Objects: 64

Original Price: $129.99

Quality Status: approved

Status: Live

What You Will Learn

Conceptualize and design fully automated continuous integration & deployment pipelines

Use AWS CodePipeline to setup CI/CD pipelines

Use AWS Elastic Beanstalk to deploy applications

Map any real-world application into a CI/CD pipeline

Integrate custom builds / actions in AWS CodePipeline

Adding AWS Lambda functions in AWS CodePipeline

Monitor their AWS CodePipeline

Who Should Attend

Software Engineers, Web Designers and Developers

Infrastructure, DevOps & QA teams

Tech founders, CTOs & SME owners

Someone looking to automate their web application delivery process using AWS

Target Audiences

Software Engineers, Web Designers and Developers

Infrastructure, DevOps & QA teams

Tech founders, CTOs & SME owners

Someone looking to automate their web application delivery process using AWS

Automated Continuous Integration (CI) and Continuous Deployment (CD)?is a critical part of DevOps and is a skill that is in high demand.?

In this course, we will examine the subject in complete depth by walking through an example project?and building a complex CI/CD pipeline on AWS. You will gain the following?five?extremely valuable and?highly sought?afterskills:

1. Learn to conceptualize and?design CI/CD pipelines for your own web applications
2. Deploy and scale web applications on Amazon’s Cloud infrastructure using?AWS?Elastic Beanstalk
3. Build pipelines on Amazon’s Cloud infrastructure?using?AWS?CodePipeline
4. Learn advance topics such as Elastic Beanstalk Extensions and?AWS?Lambda to run custom actions in your CodePipeline
5. Monitor your automated CI/CD pipelines

The tech landscape today is extremely competitive and is moving at an incredibly fast pace. With the emergence of cloud-based infrastructure, many startups are disrupting long-established businesses, industries and sectors almost on a daily basis as their entry barriers and costs keep on going down. DevOps and continuous integration / continuous deployment processes allows team to iterate often and?innovate faster.

After taking this course, you will have a comprehensive understanding of continuous integration and continuous deployment processes.?You will be able to confidently design a CI/CD pipeline for your own web applications.?You will gain an in-depth understanding of?AWS?CodePipeline?and?AWS Elastic Beanstalk?services.?

With these skills, you will be able to build fully automate deployments of your web applications on Amazon’s Cloud infrastructure.

The?course?is very hands-on?and together we will walk through an example project. We will pick a web application and deploy it on Amazon’s Cloud using?AWS Elastic Beanstalk. I will then demonstrate and create a fully automated CI/CD pipeline for our web application using?AWS CodePipeline. I will cover both of these AWS services in?complete depth?while also giving you easy to follow step-by-step instructions.?

We will also cover some advance topics such as?ebextensions?and adding AWS?Lambda functions in your AWS?CodePipeline.

★ 4000+ students enrolled
★?Rated highly?by students
★?70% course?is?practical based

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Welcome!

Lecture 2: How is the course structured?

Chapter 2: Introduction to Continuous Integration & Continuous Deployment

Lecture 1: Section overview

Lecture 2: What is Continuous Integration?

Lecture 3: What is Continuous Delivery/Deployment?

Lecture 4: What is a CI/CD Pipeline?

Lecture 5: Why use CI & CD?

Lecture 6: Achieving Full Automation

Lecture 7: Section Summary

Chapter 3: CI/CD for Web Applications

Lecture 1: Section Overview

Lecture 2: Anatomy of a basic web application

Lecture 3: Designing a continuous deployment pipeline for a web application

Lecture 4: Managing Relational Database Changes and Deployments

Lecture 5: Deployments & Actions

Lecture 6: Monitoring

Lecture 7: Common Challenges

Lecture 8: Summary

Lecture 9: CI/CD Checklist

Lecture 10: Assignment: Design a pipeline

Lecture 11: Assignment: Example solution

Chapter 4: Setup Project: Lets setup a basic PHP web application

Lecture 1: Section Overview

Lecture 2: Quick Cloud9 IDE Overview

Lecture 3: Changes in Cloud9 IDE after AWS acquisition

Lecture 4: Building Fuzzy Telegram PHP Web Application

Lecture 5: Using Environment Variables in Applications

Lecture 6: Configuring MySQL Database using Environment Variables

Lecture 7: Writing Database Migration Scripts (Database Change Management Scripts for CD)

Lecture 8: Unit tests using PHPUnit

Lecture 9: Checking in to code repository (Github)

Chapter 5: Deploy Project: Setting up AWS Elastic Beanstalk & RDS

Lecture 1: Section Overview

Lecture 2: Setting up Elastic Beanstalk – Part 1

Lecture 3: Setting up Elastic Beanstalk – Part 2

Lecture 4: Elastic Beanstalk Dashboard Walkthrough

Lecture 5: Manually Deploying Application on Elastic Beanstalk

Lecture 6: Manual RDS / Database Deployment on Elastic Beanstalk

Lecture 7: Intro to Elastic Beanstalk Extensions (.ebextensions)

Lecture 8: Workshop: Creating .ebextension to run Database migration scripts

Lecture 9: Creating a new environment for Production

Lecture 10: Application Versions

Chapter 6: Setting up a CI/CD pipeline using AWS CodePipeline

Lecture 1: Section Overview

Lecture 2: First, lets commit everything in Github

Lecture 3: Creating a new pipeline on AWS CodePipeline

Lecture 4: AWS CodePipeline in Action

Lecture 5: Editing AWS CodePipeline and adding a new Stage

Lecture 6: Manually release a change in AWS CodePipeline

Lecture 7: Stage Transitions in AWS CodePipeline

Chapter 7: Adding actions in AWS CodePipeline

Lecture 1: Sequential and Parallel Actions

Lecture 2: Types of actions in AWS CodePipeline

Lecture 3: Input & Output Artifacts

Lecture 4: Four methods to run custom builds/actions in AWS CodePipeline

Chapter 8: Method # 1: Adding a custom deployment action to run unit tests

Lecture 1: Part 1 – Setting up a new stage and environment for unit testing

Lecture 2: Part 2 – Adding script to run unit tests in Elastic Beanstalk

Chapter 9: Method # 2: Invoking Lambda Functions in your AWS CodePipeline

Lecture 1: Part 1 – Create S3 Bucket for your assets

Lecture 2: Part 2 – Create Lambda Function to upload assets to S3

Lecture 3: Part 3 – Adding Lambda Function in AWS CodePipeline

Chapter 10: Method # 3: 3rd party integrations in AWS CodePipeline

Lecture 1: Workshop: Integrating GhostInspector for UI testing

Chapter 11: Real-life scenarios

Lecture 1: Adding a manual approval step in AWS CodePipeline

Lecture 2: Manually rolling back changes in AWS CodePipeline

Chapter 12: Monitoring your fully automated AWS CodePipeline

Lecture 1: Section Overview

Lecture 2: Workshop: Lambda Function to health check your web application

Lecture 3: Creating Alarms using CloudWatch

Chapter 13: Wrap-up

Lecture 1: Summary & Thank you!

Instructors

Ali Rizavi
Web Technologist & Software Engineer

Rating Distribution

1 stars: 34 votes

2 stars: 35 votes

3 stars: 183 votes

4 stars: 603 votes

5 stars: 797 votes

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