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Mastering Elastic Kubernetes Service on AWS

You're reading from   Mastering Elastic Kubernetes Service on AWS Deploy and manage EKS clusters to support cloud-native applications in AWS

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781803231211
Length 448 pages
Edition 1st Edition
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Authors (2):
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Yang-Xin Cao Yang-Xin Cao
Author Profile Icon Yang-Xin Cao
Yang-Xin Cao
Malcolm Orr Malcolm Orr
Author Profile Icon Malcolm Orr
Malcolm Orr
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Table of Contents (28) Chapters Close

Preface 1. Part 1: Getting Started with Amazon EKS
2. Chapter 1: The Fundamentals of Kubernetes and Containers FREE CHAPTER 3. Chapter 2: Introducing Amazon EKS 4. Chapter 3: Building Your First EKS Cluster 5. Chapter 4: Running Your First Application on EKS 6. Chapter 5: Using Helm to Manage a Kubernetes Application 7. Part 2: Deep Dive into EKS
8. Chapter 6: Securing and Accessing Clusters on EKS 9. Chapter 7: Networking in EKS 10. Chapter 8: Managing Worker Nodes on EKS 11. Chapter 9: Advanced Networking with EKS 12. Chapter 10: Upgrading EKS Clusters 13. Part 3: Deploying an Application on EKS
14. Chapter 11: Building Applications and Pushing Them to Amazon ECR 15. Chapter 12: Deploying Pods with Amazon Storage 16. Chapter 13: Using IAM for Granting Access to Applications 17. Chapter 14: Setting Load Balancing for Applications on EKS 18. Chapter 15: Working with AWS Fargate 19. Chapter 16: Working with a Service Mesh 20. Part 4: Advanced EKS Service Mesh and Scaling
21. Chapter 17: EKS Observability 22. Chapter 18: Scaling Your EKS Cluster 23. Chapter 19: Developing on EKS 24. Part 5: Overcoming Common EKS Challenges
25. Chapter 20: Troubleshooting Common Issues 26. Index 27. Other Books You May Enjoy

Using CodePipeline and CodeBuild to build clusters

We have done the deployment manually so far by running the Terraform plan and apply commands. CodeBuild is an AWS service that acts as a CI build server but also deploys our Terraform configuration. CodePipeline automates the end-to-end release pipeline and sequences build, test, and deploy phases, based on commits to a repository such as CodeCommit.

The first thing we need to do is adjust our Terraform code to support the storage of state in an S3 bucket. This is necessary, as by default, Terraform will use local storage for its state, and as CodeBuild is a transient environment, that state will be lost between builds. Terraform relies on a state file to determine what needs adding, changing, or removing. We will simply add the backend configuration code shown next to the providers.tf file we created previously. We don’t need to specify any details, as this will be configured dynamically during the Terraform init phase:

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