Use this sample to create required resources for running approval based post deployment tests in AWS CodePipeline.
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Type Name Latest commit message Commit time
Failed to load latest commit information.

AWS CodePipeline Block Production

The resources in this repository will help you setup required AWS resources for blocking prod deployments until the canary deployment validation succeeds.


  1. Create an AWS CodeCommit repository with any name of your preference using AWS console or CLI. This document assumes that the name you chose is aws-codepipeline-block-production.
  2. Clone the content of this repository to AWS CodeCommit repository created in the above step. See this article for details on cloning a GitHub repository to AWS CodeCommit.
  3. Create an Amazon EC2 key pair if you don't have one already.


Run following steps in the local workspace where GitHub repository was cloned:

  1. If you chose a different AWS CodeCommit repository name, replace ParameterValue in setup-block-production-resources-stack-parameters.json file with the name you chose.

  2. Update block-production-demo-resources-parameters.json file to replace parameter values:

    • DemoResourcesCodeCommitRepo: Update if you chose a different repository name in the step 1 in Prerequisites section.
    • DemoResourcesCodeCommitRepoBranch : Default branch is master. Update if the branch name is different.
    • CanaryApprovalConfiguration : Canary approval configuration in JSON format which specifies timeout in minutes and number of metrics required before deployment is considered successful.
      • timeoutMinutes : The time in minutes to wait before considering Approval to be timed out.
      • metricsRequired : Minimum number of metrics required from canary deploy action before the canary approval is successfully completed.
    • KeyName: Amazon EC2 key pair name.
    • AppName: Default is BlockProduction. Some of the AWS resources will be prefixed with this name.
    • YourIP : IP address to connect to SSH from. Check to find yours.
  3. Create a new CloudFormation stack using AWS CloudFormation template setup-block-production-resources-stack.yml and parameter file setup-block-production-resources-stack-parameters.json. See this article for the details on how to pass parameters file using CLI.

    aws cloudformation create-stack --stack-name  SetupBlockProductionDemoResourcesStack --template-body file://<The path to local workspace>/aws-codepipeline-block-production/setup-block-production-resources-stack.yml  --capabilities CAPABILITY_IAM --parameters  file://<The path to local workspace>/aws-codepipeline-block-production/setup-block-production-resources-stack-parameters.json
  4. Step 3 will create an AWS CodePipeline named SetupBlockProductionDemoResources-Pipeline. This pipeline will use AWS CloudFormation integration with AWS CodePipeline to publish AWS Lambda functions to Amazon S3 and create a new stack using template block-production-demo-resources.yml that contains actual AWS resources used in demo including a new AWS CodePipeline with the name prefixed by AppName specified above.

  5. Above step will set up following things:

    • A new AWS CodePipeline named BlockProduction-Pipeline with a stage that contains canary deploy, canary approval and prod deploy actions. Once canary deployment succeeds, canary approval action runs and sends a notification to Amazon SNS topic configured in Approval action.
    • An AWS Lambda function (register-canary-approval.js) is subscribed to this topic which registers this request in an Amazon DynamoDB table.
    • AWS Resources for running synthetic tests periodically including an Amazon CloudWatch alarm.
    • AWS Lambda function (process-canary-approval.js) that runs periodically and scans the table for open approval requests. If there are required number of metrics available and the synthetic tests alarm is OK then it approves the request using AWS CodePipeline API PutApprovalResult which allows the pipeline run to proceed to the next prod deploy action.


When no longer required, please remember to delete the stacks using AWS CloudFormation console or CLI to avoid getting charged.


This plugin is open sourced and licensed under Apache 2.0. See the LICENSE file for more information.