An AWS lambda to scan all regions for unattached EBS volumes and delete them.
This lambda will scan all regions active for the current account, looking
for EBS volumes older than a specified age (default five minutes) that have
a status of either error or available (aka 'unattached'). Any volumes
with a lambda-ebs-cleanup:ignore tag set to True will be ignored.
Once all matching volumes are found, deletes are issued for each.
Contributions are welcome.
Install the following applications:
Run pipenv install --dev to install both production and development
requirements, and pipenv shell to activate the virtual environment. For more
information see the pipenv docs.
After activating the virtual environment, run pre-commit install to install
the pre-commit git hook.
First, make any needed updates to the base requirements in Pipfile, then use
pipenv to regenerate both Pipfile.lock and requirements.txt.
$ pipenv update --devWe use pipenv to control versions in testing, but sam relies on
requirements.txt directly for building the lambda artifact, so we dynamically
generate requirements.txt from Pipfile.lock before building the artifact.
The file must be created in the CodeUri directory specified in
template.yaml.
$ pipenv requirements > requirements.txtAdditionally, pre-commit manages its own requirements.
$ pre-commit autoupdateUse a Lambda-like docker container to build the Lambda artifact
$ sam build --use-containerTests are defined in the tests folder in this project, and dependencies are
managed with pipenv. Install the development dependencies and run the tests
using coverage.
$ pipenv run coverage run -m pytest tests/ -svvAutomated testing will upload coverage results to Coveralls.
Running integration tests requires docker
$ sam local invoke EbsCleanupFunction --event events/event.jsonDeployments are sent to the
Sage cloudformation repository
which requires permissions to upload to Sage
bootstrap-awss3cloudformationbucket-19qromfd235z9 and
essentials-awss3lambdaartifactsbucket-x29ftznj6pqw buckets.
sam package --template-file .aws-sam/build/template.yaml \
--s3-bucket essentials-awss3lambdaartifactsbucket-x29ftznj6pqw \
--output-template-file .aws-sam/build/lambda-ebs-cleanup.yaml
aws s3 cp .aws-sam/build/lambda-ebs-cleanup.yaml s3://bootstrap-awss3cloudformationbucket-19qromfd235z9/lambda-ebs-cleanup/master/Publishing the lambda makes it available in your AWS account. It will be accessible in the serverless application repository.
sam publish --template .aws-sam/build/lambda-ebs-cleanup.yamlMaking the lambda publicly accessible makes it available in the global AWS serverless application repository
aws serverlessrepo put-application-policy \
--application-id <lambda ARN> \
--statements Principals=*,Actions=DeployCreate the following sceptre file config/prod/lambda-ebs-cleanup.yaml
template:
type: http
url: "https://bootstrap-awss3cloudformationbucket-19qromfd235z9.s3.amazonaws.com/lambda-ebs-cleanup/master/lambda-ebs-cleanup.yaml"
stack_name: "lambda-ebs-cleanup"
stack_tags:
Department: "Platform"
Project: "Infrastructure"
OwnerEmail: "it@sagebase.org"Install the lambda using sceptre:
sceptre --var "profile=my-profile" --var "region=us-east-1" launch prod/lambda-ebs-cleanup.yamlSteps to deploy from AWS console.
- Login to AWS
- Access the serverless application repository -> Available Applications
- Select application to install
- Enter Application settings
- Click Deploy
We have setup our CI to automate a releases. To kick off the process just create a tag (i.e 0.0.1) and push to the repo. The tag must be the same number as the current version in template.yaml. Our CI will do the work of deploying and publishing the lambda.
By default the lambda is scheduled to run daily at 2AM. This can be configured with the
Schedule paramater using this schedule format.
Once a released template is deployed as a cloudformation stack, locate the EbsCleanupApi
output of the stack and make a simple GET request to the URL; for example:
curl https://RANDOM_STRING.execute-api.us-east-1.amazonaws.com/Prod/clean