For more information, refer to Setting up end-to-end TLS encryption on Amazon EKS with the new AWS Load Balancer Controller. By default, the Ingress is created without a TLS endpoint. This example creates an Ingress using the AWS Load Balancer controller to provide public access to your Jira instance. For simplicity, let’s name our namespace jira:ĮKS_VPC_ID=$(aws eks describe-cluster -name="$" -values=jira.yaml We put our Jira application and any associated objects into their own Kubernetes namespace. For installation instructions, refer to Install the ACK service controller for Amazon RDS. The ACK services controller for Amazon RDS allows us to manage our Amazon RDS for PostgreSQL instance directly from Kubernetes. Install the ACK services controller for Amazon RDS For installation instructions, refer to Load Balancer Controller Installation. We can do this using the AWS Load Balancer Controller. ![]() We also need a way to access the Jira application externally. Allow for external web access with the AWS Load Balancer Controller We reference the efs-sc storage class later in this example. This is used for dynamic provisioning of Amazon EFS storage. The Amazon EFS installation guide uses a Kubernetes storage class called efs-sc. For instructions on how to connect an Amazon Elastic File System (Amazon EFS) system to your Kubernetes cluster, refer to Amazon EFS CSI driver. Amazon EKS provides the Amazon EFS CSI driver to give Pods a shared file storage system. When running in cluster mode, which is typical for a production deployment, Jira needs to use a shared file system. Ready 2m16s v1.21.834 Set up shared storage with the Amazon EFS CSI driver Use eksctl to create an Amazon EKS cluster and ensure that the IAM OIDC provider is enabled: Set up the Amazon EKS clusterįirst, we need to set up our Amazon EKS cluster. ![]() As of this writing, Jira is only verified to work up to PostgreSQL 13. When installed into a Kubernetes cluster, Jira requires Kubernetes 1.19 or later. When you see placeholders like NAME=, substitute in the name for your environment. This post uses shell variables to make it easier to substitute the actual names for your deployment. Actions, resources, and condition keys for Amazon RDS.Actions, resources, and condition keys for Amazon Elastic Kubernetes Service.For more information, refer to the following: You must have the appropriate AWS Identity and Access Management (IAM) permissions to interact with the different AWS services. Ensure you have each of the following tools in your working environment: We need a few tools to set up our production-ready Jira deployment. We use Amazon RDS for PostgreSQL as the database system for Jira. In this post, we walk you through deploying Jira, a project management tool, into a Kubernetes cluster provided by Amazon EKS. With the ACK service controller for Amazon RDS, you can provision and manage database instances with kubectl and custom resources! To manage Amazon RDS database instances from Kubernetes, we can use ACK. Meanwhile, Amazon RDS lets developers choose their preferred database engine ( Amazon Aurora, Amazon RDS for PostgreSQL, Amazon RDS for MySQL, Amazon RDS for MariaDB, Amazon RDS for Oracle, Amazon RDS for SQL Server) for the application, complete with essential production features like security, high availability, automatic backups, enhanced monitoring, and performant storage.ĪWS Controllers for Kubernetes (ACK) provides an interface for using other AWS services directly from Kubernetes. Amazon EKS provides a robust, managed Kubernetes service for deploying applications in all phases of their lifecycle (development, QA/UAT, staging, production). You can get a flexible application deployment environment with ease of database administration by combining Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Relational Database Service (Amazon RDS). They also need a way to connect to and manage their database directly from Kubernetes. Developers want to focus on continuously improving their apps rather than having to worry about the operational functions of their databases. Many of these applications need a searchable storage system for their data that is secure, durable, and performant. The Kubernetes container orchestration system provides numerous resources for managing applications in distributed environments.
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