Udemy

DevOps: CI/CD using AWS CodePipeline & Elastic Beanstalk

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  • 15,430 Students
  • Updated 2/2018
4.1
(1,655 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 21 Minute(s)
Language
English
Taught by
Ali Rizavi
Rating
4.1
(1,655 Ratings)

Course Overview

DevOps: CI/CD using AWS CodePipeline & Elastic Beanstalk

Learn Automated Continuous Deployment using AWS CodePipleine, Elastic Beanstalk & Lambda (includes example PHP project).

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 after skills:


  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 Content

  • 13 section(s)
  • 62 lecture(s)
  • Section 1 Getting Started
  • Section 2 Introduction to Continuous Integration & Continuous Deployment
  • Section 3 CI/CD for Web Applications
  • Section 4 Setup Project: Let's setup a basic PHP web application
  • Section 5 Deploy Project: Setting up AWS Elastic Beanstalk & RDS
  • Section 6 Setting up a CI/CD pipeline using AWS CodePipeline
  • Section 7 Adding actions in AWS CodePipeline
  • Section 8 Method # 1: Adding a custom deployment action to run unit tests
  • Section 9 Method # 2: Invoking Lambda Functions in your AWS CodePipeline
  • Section 10 Method # 3: 3rd party integrations in AWS CodePipeline
  • Section 11 Real-life scenarios
  • Section 12 Monitoring your fully automated AWS CodePipeline
  • Section 13 Wrap-up

What You’ll 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

Reviews

  • M
    Marko Milosevic
    3.0

    Its a shame that this is so outdated. Very good content, but greatly affected by the fact that in 6 years a lot of things changed in both functionalities and interfaces of AWS.

  • J
    Jose Carlos Siqueira Junior
    2.5

    This course is really outdated. All the consoles has changed and i had to figure out how to make everything work. I'm familiar with AWS and Linux, but i believe most of the people aren't. Also, i'd recommend to improve the monitoring part, because it's not a real monitoring stack, it's just another step on your CD/CI pipeline. So i strongly recommend update this course to make worth it

  • W
    Willian Falbo Maciel
    4.0

    Congrats Ali, this course was pretty useful! By the time you created this course, I think AWS didn't have CodeBuild, so I think it is an alternative to build/run Unit Tests commands! It is pretty simple and straightforward as well. Like this example: https://medium.com/quantica/setup-ci-cd-pipeline-with-aws-lambda-and-serverless-framework-f624773f355e Also, it would be nice if you have another tutorial using Node.js =) By the way, this course is very useful and congrats for the content shared. Thank you.

  • C
    Christofer MacDonald
    3.5

    This course will do the job, but you will also need to do extra work to make things work out due to AWS constantly changing. Most of what is stated will work. Check the Q&A section often as many have either received help or others have added to the lessons to help others out in here. You will want to look up changes through docs.aws.amazon.com as well. If I had to reqrite this, I would have obstained from building out a whole php environment in cloud9 since the course should be more focussed on pipeline and deployment in my opinion, but it was ok and yet I wasted a lot of free trier resources here and with the side lambda example where you deploy a ton of content to s3 and then as its added into your pipeline and you make changes, that is eating up your s3 bucket usage. So in short - it was good because once you actually get to pipeline sections it was extremely helpful, but cloud9 can be replaced with github and the s3 example is neat but could have been limited to one or two SMALL css files to save on usage.

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