For more information about this, see Controlling access with IAM in the AWS CloudFormation documentation.Īn existing Amazon EKS cluster, with details of the IAM role name and IAM role Amazon Resource Name (ARN) of worker nodes in the EKS cluster. For information and steps to configure AWS CLI, see Configuration basics in the AWS CLI documentation.ĪWS Identity and Access Management (IAM) roles and permissions with full access to AWS CloudFormation. For more information about this, see Installing, updating, and uninstalling the AWS CLI version 2 in the AWS CLI documentation.ĪWS CLI version 2 must be configured with the same IAM role that creates the Amazon EKS cluster because only that role is authorized to add other IAM roles to the aws-auth ConfigMap. Prerequisites and limitationsĪWS Command Line Interface (AWS CLI) version 2, installed and configured. The approach also helps you to monitor and manage the entire lifecycle of a Java application, which ensures a higher level of automation and helps avoid errors or bugs. This pattern's approach is useful if you want to migrate from a tightly coupled monolithic architecture to a microservices architecture. You can use this pattern’s approach to build the code for a Java application, package the application artifacts as a Docker image, security scan the image, and upload the image as a workload container on Amazon EKS.

This pattern uses a greeting application developed with a Spring Boot Java framework and that uses Apache Maven. This pattern describes how to create a continuous integration and continuous delivery (CI/CD) pipeline that automatically builds and deploys a Java application with recommended DevSecOps practices to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster on the Amazon Web Services (AWS) Cloud. Technologies: Containers & microservices Cloud-native DevOps ModernizationĪWS services: AWS CloudFormation AWS CodeCommit AWS CodePipeline AWS EC2 Container Registry Amazon EKS

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