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Building and Delivering Microservices on AWS

You're reading from   Building and Delivering Microservices on AWS Master software architecture patterns to develop and deliver microservices to AWS Cloud

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781803238203
Length 602 pages
Edition 1st Edition
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Author (1):
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Amar Deep Singh Amar Deep Singh
Author Profile Icon Amar Deep Singh
Amar Deep Singh
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Toc

Table of Contents (21) Chapters Close

Preface 1. Part 1: Pre-Plan the Pipeline
2. Chapter 1: Software Architecture Patterns FREE CHAPTER 3. Chapter 2: Microservices Fundamentals and Design Patterns 4. Chapter 3: CI/CD Principles and Microservice Development 5. Chapter 4: Infrastructure as Code 6. Part 2: Build the Pipeline
7. Chapter 5: Creating Repositories with AWS CodeCommit 8. Chapter 6: Automating Code Reviews Using CodeGuru 9. Chapter 7: Managing Artifacts Using CodeArtifact 10. Chapter 8: Building and Testing Using AWS CodeBuild 11. Part 3: Deploying the Pipeline
12. Chapter 9: Deploying to an EC2 Instance Using CodeDeploy 13. Chapter 10: Deploying to ECS Clusters Using CodeDeploy 14. Chapter 11: Setting Up CodePipeline Code 15. Chapter 12: Setting Up an Automated Serverless Deployment 16. Chapter 13: Automated Deployment to an EKS Cluster 17. Chapter 14: Extending CodePipeline Beyond AWS 18. Index 19. Other Books You May Enjoy Appendix

Deploying application on EKS cluster

We will deploy the aws-code-pipeline application that we created in previous chapters. This time, we will deploy it to the EKS Kubernetes cluster using CodePipeline. The following diagram shows the overall deployment structure; we will use the CodeBuild service to create artifacts and Docker images and push that container image to the ECR repository:

Figure 13.8 – EKS Pipeline deployment architecture

Figure 13.8 – EKS Pipeline deployment architecture

This container image is referenced by the deployment.yaml file and deployed to the Kubernetes cluster. The CodeBuild service needs appropriate access to connect with ECR and the Kubernetes cluster to deploy the code. Once the application is deployed, it passes the control to another chap-13-test-application CodeBuild project, which is responsible for connecting to the application using a load balancer to test the success of the deployment. Let’s go through this journey step by step in the following sections...

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