In order to authenticate with Terraform Cloud to store your project's Terraform Review the CircleCI getting started guide for an introduction to the workflow if you are unfamiliar. Sign up with your GitHub account so CircleCI can build and deploy from your GitHub repositories. In order to complete this tutorial, you will need the following: If you are new to Terraform Cloud, complete the Terraform Cloud Get Started If you are new to Terraform, complete Get Started tutorials first. This tutorial assumes that you are familiar with the Terraform and TerraformĬloud workflows. You will configure and review an automated Terraform workflow and use Terraform Cloud for remote state storage. In this tutorial, you will use CircleCI and Terraform to deploy an S3-backed web application. To automate Terraform operations in a remote environment, you need to configure remote state storage so Terraform can access and manage your project's state across runs. Since your infrastructure is codified, your team can collaborate and review it and deploy it using automated pipelines instead of manual orchestration. The CI/CD workflow for infrastructure deployments. Using Terraform to manage your infrastructure as code enables the benefits of Varying complexity to satisfy your organization’s requirements for production It also helps teams quickly ship new features and fixes byĭefining pipelines that help ensure the stability and resilience of your The CI/CD paradigmĮstablishes version control repositories as the source of truth for yourĭeployments. In case, you have a custom script or a Serverless Framework, you can pass the profile.CircleCI is a continuous integration and delivery (CI/CD) platform forĪutomating software builds, tests, and deployments. local s3://bucket -profile devĪWSCLI commands can read from the env variable directly aws s3 sync. Pass profile name in parameter to AWS CLI commands in your CircleCI deployment. The config file in the step1 uses the same profile from the credentials file. This step creates a credentials file with the key_id and access_key for the default profile. run: name: AWS configure command: | pipenv run aws configure set aws_access_key_id $AWS_ACCESS_KEY pipenv run aws configure set aws_secret_access_key $AWS_SECRET_KEY cp. Note: I am using python executor and pipenv has already installed awscli as a dependency. aws folder could be persisted and shared across jobs. Set the variable to ‘dev’, ‘staging’ and ‘production’ in respective contexts.Īdd a step in CircleCI config.yml to setup the credentials and config file under the org-default context. Create three contexts for each stage and add AWS_PROFILEenv variable.Create a org-global context and add AWS_ACCESS_KEY and AWS_SECRET_KEY.region = us-east-1 output = json role_arn = arn:aws:iam:::role/CircleCi-role source_profile = default role_arn = arn:aws:iam:::role/CircleCi-role source_profile = default role_arn = arn:aws:iam:::role/CircleCi-role source_profile = default Step2:ĬircleCI supports environment variables by context. Step1:Ĭreate a config file aws_config and add it to the. We solved the problem using aws config, CircleCI contexts and some yml magic. Note: This article assumes you already have the working knowledge of CircleCI and how to setup CircleCI for your project. We needed CircleCI to deploy to different stages using AWS Role Assumption. We have a master account and we used role assumption to access the rest of the accounts for the development stages. We have three separate AWS accounts for dev, staging and production. CircleCI deployment with AWS role assumption
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