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Deploy AWS CloudWatch alarms with Bitbucket

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Warren Marusiak

Senior Technical Evangelist

To demonstrate how to develop, deploy, and manage applications using Jira Software and various connected tools, our team created ImageLabeller, a simple demo application built on AWS that uses machine learning to apply labels to images.

This page covers how to monitor ImageLabeller with Opsgenie. Before you begin, we recommend reading the ImageLabeller architecture page for context.

Add an alarms repository for Opsgenie integration

Go to Jira and create a new Jira issue for adding AWS CloudWatch alarms repository to Bitbucket. In this example the Jira issue ID is IM-9.

Opsgenie add alarms screenshot

Go to Bitbucket, and click Create, then Repository.

repositories screenshot

Select the appropriate Workspace, and Project. Set the Default branch name to mainline. Click Create repository to proceed.

create repository screenshot

Go to your CloudWatchAlarms repository in your terminal, and run the following to push your AWS CloudFormation template code to Bitbucket.

git add --all
git commit -m "IM-9 add CloudWatchAlarms to Bitbucket"
git remote add origin git@bitbucket.org:pmmquickstartguides01/cloudwatchalarms.git
git branch -m mainline
git push -u origin mainline

Alarms template.yml

Description: 'A description'

Resources:
  OpsGenieSNS:
    Type: AWS::SNS::Topic
    Properties: 
      DisplayName: 'Opsgenie'
      Subscription:
        - Endpoint: 'https://api.opsgenie.com/v1/json/cloudwatch?apiKey=a4449509-6998-4d55-841d-2e6b363520c7'
          Protocol: 'HTTPS'
      TopicName: 'Opsgenie'

  SubmitImageLambdaAlarm:
    Type: AWS::CloudWatch::Alarm
    Properties: 
      AlarmActions:
        - !Ref 'OpsGenieSNS'
      AlarmDescription: 'SubmitImage Too Many Invocations'
      ComparisonOperator: 'GreaterThanThreshold'
      Dimensions:
        - Name: FunctionName
          Value: !ImportValue 'SubmitImageFunctionName'
      EvaluationPeriods: 1
      MetricName: 'Invocations'
      Namespace: 'AWS/Lambda'
      Period: 60
      Statistic: 'Sum'
      Threshold: 10

Set the SNS topic subscription endpoint to the endpoint URL you copied from Opsgenie. The SubmitImageLambdaAlarm monitors a single metric emitted by the submitImage AWS Lambda. If there are more than 10 invocations, a minute the alarm is raised.

bitbucket-pipelines.yml for deploying to AWS

Go to your CloudWatchAlarms repository in your terminal, create a branch named after your Jira issue ID.

definitions:
  steps:
    - step: &deploy-test-usw1
        name: Deploy Test us-west-1
        script:
        - pipe: atlassian/aws-cloudformation-deploy:0.10.0
          variables:
            AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
            AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
            AWS_DEFAULT_REGION: 'us-west-1'
            STACK_NAME: 'OpenDevOpsAlarms'
            CAPABILITIES: ['CAPABILITY_IAM', 'CAPABILITY_AUTO_EXPAND']
            WAIT: 'true'
            TEMPLATE: 'template.yml'
    - step: &deploy-staging-use2
        name: Deploy Staging us-east-2
        script:
        - pipe: atlassian/aws-cloudformation-deploy:0.10.0
          variables:
            AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
            AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
            AWS_DEFAULT_REGION: 'us-east-2'
            STACK_NAME: 'OpenDevOpsAlarms'
            CAPABILITIES: ['CAPABILITY_IAM', 'CAPABILITY_AUTO_EXPAND']
            WAIT: 'true'
            TEMPLATE: 'template.yml'
    - step: &deploy-production-usw2
        name: Deploy Production us-west-2
        script:
        - pipe: atlassian/aws-cloudformation-deploy:0.10.0
          variables:
            AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
            AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
            AWS_DEFAULT_REGION: 'us-west-2'
            STACK_NAME: 'OpenDevOpsAlarms'
            CAPABILITIES: ['CAPABILITY_IAM', 'CAPABILITY_AUTO_EXPAND']
            WAIT: 'true'
            TEMPLATE: 'template.yml'
    - step: &deploy-production-use1
        name: Deploy Proudction us-east-1
        script:
        - pipe: atlassian/aws-cloudformation-deploy:0.10.0
          variables:
            AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
            AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
            AWS_DEFAULT_REGION: 'us-east-1'
            STACK_NAME: 'OpenDevOpsAlarms'
            CAPABILITIES: ['CAPABILITY_IAM', 'CAPABILITY_AUTO_EXPAND']
            WAIT: 'true'
            TEMPLATE: 'template.yml'
    - step: &deploy-production-cac1
        name: Deploy Production ca-central-1
        script:
        - pipe: atlassian/aws-cloudformation-deploy:0.10.0
          variables:
            AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID}
            AWS_SECRET_ACCESS_KEY: ${AWS_SECRET_ACCESS_KEY}
            AWS_DEFAULT_REGION: 'ca-central-1'
            STACK_NAME: 'OpenDevOpsAlarms'
            CAPABILITIES: ['CAPABILITY_IAM', 'CAPABILITY_AUTO_EXPAND']
            WAIT: 'true'
            TEMPLATE: 'template.yml'
pipelines:
  default:
    - step:
        <<: *deploy-test-usw1
        deployment: Test us-west-1
    - step:
        <<: *deploy-staging-use2
        deployment: Staging us-east-2
  branches:
    mainline:
      - step:
          <<: *deploy-production-usw2
          deployment: Production us-west-2
      - step:
          <<: *deploy-production-use1
          deployment: Production us-east-1
      - step:
          <<: *deploy-production-cac1
          deployment: Production ca-central-1

Remember that you need to enable pipelines, setup deployment environments, and add AWS access keys to the repository before pipelines will run.

Pushing to a feature branch

Run the following from the command line to push your changes to the IM-9 branch of your CloudWatchAlamrs repository. Include the Jira issue ID in commit messages, and branch names to enable the Jira Bitbucket integration to keep track of what is happening in your project.

git add --all
git commit -m "IM-9 add bitbucket-pipelines.yml to CloudWatchAlarms"
git push -u origin IM-9

Click Pipelines, then IM-9 to see the running pipeline.

IM-9 running pipelines screenshots

Create a pull request

To create a pull request click Pull requests, then Create pull request. Finish the pull request, and click Pipelines to see the Production deployment.

create pull requests screenshots

Testing the alarm

Generate an alert by triggering the AWS CloudWatch alarm you just set up, or by clicking Create alert.

watch alarms screenshot

Bravo! You did it. ImageLabeller is now up and running.

Warren Marusiak
Warren Marusiak

Warren is a Canadian developer from Vancouver, BC with over 10 years of experience. He came to Atlassian from AWS in January of 2021.


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