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Many of our customers have expressed a desire to build an end-to-end release automation workflow solution that can deploy changes across multiple regions or different AWS accounts. Any update to the source code in Region A will trigger validation and deployment of source code changes in the pipeline in Region A.
A successful processing of source code in all of its AWS CodePipeline stages will invoke a Lambda function as a custom action, which will copy the source code into an S3 bucket in Region B. After the source code is copied into this bucket, it will trigger a similar chain of processes into the different AWS CodePipeline stages in Region B. See the following diagram. This architecture follows best practices for multi-region deployments, sequentially deploying code into one region at a time upon successful testing and validation.
This architecture lets you place controls to stop the deployment if a problem is identified with release. This prevents a bad version from being propagated to your next environments. You will need an AWS account with administrator permissions.
You will also need sample application source code that you can download here. We will use the CloudFormation template provided in this post to create the following resources:. The resources created by the CloudFormation template may result in charges to your account. The cost will depend on how long you keep the CloudFormation stack and its resources. Choose your source and destination regions for a continuous delivery of your source code. In this post, we are deploying the source code to two regions: You can choose to extend the setup to three or more regions if your business needs require it.
Create Amazon S3 buckets for hosting your application source code in your source and destination regions. Make sure versioning is enabled on these buckets. The source code bucket in Region B is also the destination bucket in Region A. Versioning on the bucket ensures that AWS CodePipeline is executed automatically when source code is changed.
Be sure you are in the US West Oregon region. You can use the drop-down menu to switch regions. All of the steps in the Simple Pipeline Walkthrough are automated when you use this template. You can customize any of these components according to your requirements later. Optional On the Options page, in Key , type Name. In Value , type a name that will help you easily identify the resources created in this stack. This name will be used to tag all of the resources created by the template.
These tags are helpful if you want to use or modify these resources later on. Review the other settings, and then choose Create. It will take several minutes for CloudFormation to create the resources on your behalf. You can watch the progress messages on the Events tab in the console.
Use the drop-down menu to switch to US East N. We have created an EC2 instance in both regions. These instances are running a sample web application. See the diagram at the beginning of this post. The pipelines in both regions will start automatically as they are created. Watch the progress of your pipeline in the source region Region A as it completes the actions configured for each of its stages and invokes a custom Lambda action that copies the source code into Region B.
Then watch the progress of your pipeline in Region B final destination region after the pipeline succeeds in the source region Region A.
When each stage is complete, it turns from blue in progress to green success. You can place a new version of source code in your S3 bucket and watch it progress through AWS CodePipeline in all the regions. When Succeeded is displayed for the pipeline status in the final destination region, view the deployed application:. You will need to configure cross-account permissions on your destination S3 bucket and delegate these permissions to a role that Lambda assumed in the source account.
Without these permissions, the Lambda function in AWS CodePipeline will not be able to copy the source code into the destination S3 bucket. Create the following bucket policy on the destination bucket in Account B:. Create your CloudFormation stacks in Account B and Account C follow steps 2 and 3 in these accounts, respectively and your pipeline will execute sequentially. This is the option to choose if you no longer want to use the pipeline or any of its resources.
Prerequisites You will need an AWS account with administrator permissions. We will use the CloudFormation template provided in this post to create the following resources: Amazon S3 buckets to host the source code for the sample application. You can use a GitHub repository if you prefer, but you will need to change the CloudFormation template. AWS CodeDeploy to deploy the sample application.
AWS CodePipeline with predefined stages for this setup. It invokes a function to copy the source code into another region or account. If you are deploying to multiple accounts, cross-account S3 bucket permissions are required.
On the Specify Details page, do the following: In AppName , you can leave the default, or you can type a name of up to 40 characters. Use only lowercase letters, numbers, periods, and hyphens. In InstanceCount and InstanceType , leave the default values. You might want to change them when you extend this setup for your use case. In S3SourceCodeObject , specify the name of the source code zip file.
Choose a destination region from the drop-down list. For the steps in this blog post, choose us-east This enables remote login to your instances. You cannot sign in to your instance without generating a key pair and downloading a private key file. For information about generating a key pair, see these steps. This is a recommended security best practice. In TagValue , type a value that identifies the deployment stage in the target deployment for example, Alpha.
This is same as the DestinationBucket in step 2. From the DestinationRegion drop-down list, choose none. In DestinationBucket , type none. This is our final destination region for this setup. In TagValue , type a value that identifies the deployment stage in the target deployment for example, Beta.
So What Just Happened? When Succeeded is displayed for the pipeline status in the final destination region, view the deployed application: In the status area for Beta — stage in the final destination region, choose Details.
You can also pick any other stage in other regions. So far we have deployed code in two regions within one AWS account. There may be a case where your environments exist in different AWS accounts. For example, assume a scenario in which: Create the following bucket policy on the destination bucket in Account B: Delete the stack in AWS CloudFormation, which deletes the pipeline, its resources, and the stack itself.
To delete the CloudFormation stack: Although this bucket was created as part of the CloudFormation stack, Amazon S3 does not allow CloudFormation to delete buckets that contain objects. To delete this bucket, open the Amazon S3 console , select the buckets you created in this setup, and then delete them.
For more information, see Delete or Empty a Bucket.