Introduction to AWS CodeStar

Beginner
10m
1,276
4.1/5

This course provides detail on the AWS Developer Tool services relevant to the Developer - Associate exam.

Want more? Try a lab playground or do a Lab Challenge!

Learning Objectives

  • Introduction to AWS CodeCommit and how it can be used to manage your source code
  • Learn where AWS CodeCommit sits in a CI/CD setup
  • Understand when and where to use CodeCommit within your own development solutions
  • Introduce you to AWS CodeBuild and how it can be used to compile, build, and test your source code
  • Learn where AWS CodeBuild sits in a CI/CD setup
  • Familiarize yourself with the AWS CodeBuild service and ensure you know when and where to use it within your own software projects
  • Understand what AWS CodeDeploy is and when it should be used
  • Learn from a demonstration where we use AWS CodeDeploy to deploy our web portal project onto EC2 infrastructure. 
  • Learn the fundamentals of AWS CodePipeline
  • Understand where CodePipeline the service sits in a CI/CD setup
  • learn how you can use AWS CodePipeline to orchestrate, build and deploy a workflow for a web portal project
  • Understand the key aspects of AWS CodeStar, its benefits, and its use cases
  • Provision a full CI/CD workflow using AWS CodeStar
  • Introduce the AWS X-Ray service and the functionality that it provides.
  • Explain the functions of the AWS X-Ray service and how to use AWS X-Ray with other AWS services.
  • Demonstrate how to use the AWS X-Ray Console - highlighting key areas such as the Service Map and Tracing windows
  • Demonstrate how to implement a Docker-based Node.js application using the AWS X-ray SDK.
About the Author
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Jeremy Cook, opens in a new tab
Content Lead Architect
Students
158,785
Labs
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Jeremy is a Content Lead Architect and DevOps SME here at Cloud Academy where he specializes in developing DevOps technical training documentation.

He has a strong background in software engineering, and has been coding with various languages, frameworks, and systems for the past 25+ years. In recent times, Jeremy has been focused on DevOps, Cloud (AWS, Azure, GCP), Security, Kubernetes, and Machine Learning.

Jeremy holds professional certifications for AWS, Azure, GCP, Terraform, Kubernetes (CKA, CKAD, CKS).

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