Remember that each service connection points to a different AWS account and the corresponding parameter values are specific to the target environment. ![]() The differences between Development and Staging deployment tasks are the service connection name and template parameters file path used. TemplateParametersFile: 'staging/parameters.json' The task below will to deploy the same template to a Staging environment: - task: 'Create/Update Stack: Staging-Deployment' ![]() This is a common case when deploying the same application stack to different environments (Development, Staging, and Production). I also specified the optional templateParametersFile path because I used template parameters in my template.Ī template parameters file is particularly useful if you need to use custom values in your CloudFormation templates that are different for each stack. ![]() I used the service connection that I’ve called development-account and specified the other required information such as the templateFile path for the AWS CloudFormation template. TemplateParametersFile: 'development/parameters.json' TemplateFile: 'my-aws-cloudformation-template.yml' In the example below, I use the CloudFormation Create/Update Stack task to deploy a CloudFormation stack using a template file named my-aws-cloudformation-template.yml: - task: 'Create/Update Stack: Development-Deployment'ĬhangeSetName: 'my-stack-name-change-set' Once a service connection for your AWS Account is created, you can now add a task to your pipeline that references the service connection created in the previous step. Use a single IAM User to access all other accounts Define Your Pipeline Tasks You can find more samples in the Sample Templates page or get started with authoring your own templates.įigure 5. In addition to the above steps, you will need a sample AWS CloudFormation template to use for testing the deployment such as this sample template creating an EC2 instance. The AWS Toolkit also provides a user interface to configure the AWS credentials used by the service connection (Figure 3). Service connections are how the Azure DevOps tooling manages connecting and providing access to Azure resources. Create a Service Connection for your project in Azure DevOps.Keep the principle of least privilege in mind when associating the policy to your user. Create an IAM User and download its keys.Install the toolkit into your Azure DevOps account or choose Download to install it on an on-premises server (Figure 2).You will need to go through three main steps in order to set up your environment, which are summarized here and detailed in the toolkit’s user guide: Solution high-level overview Prerequisites and Assumptions The solution described in this post consists of leveraging the AWS Toolkit for Azure DevOps to manage resources on AWS via Infrastructure as Code templates with AWS CloudFormation:įigure 1. It can also run commands using the AWS Tools for Windows PowerShell module as well as the AWS CLI. It integrates with many AWS services, including Amazon S3, AWS CodeDeploy, AWS Lambda, AWS CloudFormation, Amazon SQS and others. The AWS Toolkit for Azure DevOps is a free-to-use extension for hosted and on-premises Microsoft Azure DevOps that makes it easy to manage and deploy applications using AWS. AWS CloudFormation stacks, directly from your existing Azure DevOps build pipelines. In this post, I will walk you through an example to leverage the AWS Toolkit for Azure DevOps to deploy your Infrastructure as Code templates, i.e. These services range from popular open-source solutions, such as Jenkins, to paid commercial solutions, such as Azure DevOps Server (formerly Team Foundation Server (TFS)). We hear from some of our customers that they would like to leverage services such as AWS CloudFormation, AWS CodeBuild and other AWS Developer Tools to manage their AWS resources while continuing to use their existing CI/CD pipelines which they are familiar with. Many developers today seek to improve productivity by finding better ways to collaborate, enhance code quality and automate repetitive tasks.
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