aws-amicleaner 0.1.0

Cleanup tool for AWS AMIs and snapshots

Cleanup your old unused ami and related snapshots

Description

This tools permits to clean your custom Amazon Machine Images (AMI) and related EBS Snapshots.

You can either run in fetch and clean mode where the tool will retrieve all your private AMIs and EC2 instances, exclude AMIs being holded by your EC2 instances (it can be useful if you use autoscaling, and so on …). It applies a filter based on their names or tags and a number of previous AMIs you want to keep.

It can simply remove AMIs with a list of provided ids !

Prerequisites

• awscli

• python 2.7

• pyhton pip

This tool assumes your AWS credentials sourced, either with aws credentials variables :

export AWS_DEFAULT_REGION='your region'
export AWS_ACCESS_KEY_ID='with token Access ID'
export AWS_SECRET_ACCESS_KEY='with token AWS Secret'

or with awscli :

export AWS_PROFILE=profile-name

How does it work ?

To run the script properly, your aws user must have at least these permissions in iam:

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "Stmt1458638250000",
            "Effect": "Allow",
            "Action": [
                "ec2:DeleteSnapshot",
                "ec2:DeregisterImage",
                "ec2:DescribeImages",
                "ec2:DescribeInstances",
                "ec2:DescribeSnapshots"
            ],
            "Resource": [
                "arn:aws:ec2:::*"
            ]
        }
    ]
}

Getting help

amicleaner/cli.py --help

Clean a list of AMIs

amicleaner/cli.py --from-ids ami-abcdef01 ami-abcdef02

Fetch and clean

Print report of groups and amis to be cleaned

amicleaner/cli.py --full-report

Keep previous number of AMIs

amicleaner/cli.py --full-report --keep-previous 10

Regroup by name or tags

amicleaner/cli.py --mapping-key tags --mapping-values role env

Skip confirmation, can be useful for automation

amicleaner/cli.py -f --keep-previous 2

Using virtual env

$ virtualenv env
$ . env/bin/activate
 (env) aws-amicleaner $ pip install -r requirements.txt
 (env) aws-amicleaner $ amicleaner/cli.py