aws-samples/aws-codepipeline-synthetic-tests

Name: aws-codepipeline-synthetic-tests

Owner: AWS Samples

Description: Use this sample to create required resources for running synthetic tests periodically and disable transitions on failures in AWS CodePipeline.

Created: 2016-11-24 07:05:16.0

Updated: 2017-12-29 21:18:52.0

Pushed: 2017-01-05 22:15:06.0

Homepage: null

Size: 13

Language: JavaScript

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README

AWS CodePipeline Synthetic Tests

The resources in this repository will help you setup required AWS resources for building synthetic tests and use it to disable transitions in AWS CodePipeline.

Prerequisites
  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-synthetic-tests.
  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. Download AWS CodeDeploy sample application for Linux using this link.
  4. Upload this application in a version enabled Amazon S3 bucket you own. Note down both the bucket name and object key. You will need in later steps.
  5. Create an Amazon EC2 key pair if you don't have one already.
Steps

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-synthetic-tests-resources-stack-parameters.json file with the name you chose.

  2. Update synthetic-tests-demo-resources-parameters.json file to replace parameter values:

    • CodeDeploySampleAppS3BucketName: Amazon S3 bucket name from step 4 in Prerequisites section
    • CodeDeploySampleAppS3ObjectKey : The object key from step 4 in Prerequisites section
    • KeyPairName : Amazon EC2 key pair name
    • YourIP : IP address to connect to SSH from. Check http://checkip.amazonaws.com/ to find yours.
  3. Create a new CloudFormation stack using AWS CloudFormation template setup-synthetic-tests-resources-stack.yml and parameter file setup-synthetic-tests-resources-stack-parameters.json. See this article for the details on how to pass parameters file using CLI.

    cloudformation create-stack --stack-name  SetupSyntheticTestsDemoResourcesStack --template-body file://<The path to local workspace>/aws-codepipeline-synthetic-tests/setup-synthetic-tests-resources-stack.yml  --capabilities  CAPABILITY_IAM --parameters  file://<The path to local workspace>/aws-codepipeline-synthetic-tests/setup-synthetic-tests-resources-stack-parameters.json
    
  4. Step 3 will create an AWS CodePipeline named SetupSyntheticTestsDemoResources-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 synthetic-tests-demo-resources.yml that contains actual AWS resources used in demo including a new AWS CodePipeline named SyntheticTestsDemoPipeline.

  5. Above step will set up following things:

    • A new AWS CodePipeline named SyntheticTestsDemoPipeline with an AWS CodeDeploy Deploy stage.
    • AWS Lambda function that runs periodically to test the website created by Amazon CodeDeploy sample application and to send failure metrics to Amazon CloudWatch.
    • If the published metrics don't meet specified criteria, it triggers an Amazon CloudWatch alarm.
    • Amazon CloudWatch alarm sends notification to Amazon SNS topic which in turn invokes AWS Lambda function to disable the transition to Deploy stage in pipeline SyntheticTestsDemoPipeline.
Cleanup

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

License

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


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.