The Graffiti Monkey goes around tagging things. By looking at the tags an EC2 instance has, it copies those tags to the EBS Volumes that are attached to it, and then copies those tags to the EBS Snapshots.
usage: graffiti-monkey [-h] [--region REGION] [--profile PROFILE] [--verbose] [--version] [--config CONFIG.YML] [--dryrun] Propagates tags from AWS EC2 instances to EBS volumes, and then to EBS snapshots. This makes it much easier to find things down the road. optional arguments: -h, --help show this help message and exit --region REGION the region to tag things in (default is current region of EC2 instance this is running on). E.g. us-east-1 --profile PROFILE the profile to use to connect to EC2 (default is 'default', see Boto docs for profile credential options) --verbose, -v enable verbose output (-vvv for more) --version display version number and exit --config CONFIG.YML read a yaml configuration file. specify tags to propagate without changing code. --dryrun dryrun only, display tagging actions but do not perform them --append append propagated tags to existing tags (up to a total of ten tags). When not set, graffiti-monkey will overwrite existing tags. --volumes volume(s) to tag --snapshots snapshot(s) to tag --novolumes do not perform volume tagging --nosnapshots do not perform snapshot tagging
Suppose you have the following in us-east-1:
i-abcd1234 - Tags: - Name: "Instance 1" vol-bcde3456 - Attached to i-abcd1234 on /dev/sda1 snap-cdef4567 - Snapshot of vol-bcde3456
When you run:
graffiti-monkey --region us-east-1
First, Graffiti Monkey will set the EBS volume tags
vol-bcde3456 - Tags: - Name: "Instance 1" - instance_id: i-abcd1234 - device: /dev/sda1
and then it will set the tags on the EBS Snapshot
snap-cdef4567 - Tags: - Name: "Instance 1" - instance_id: i-abcd1234 - device: /dev/sda1
You can install Graffiti Monkey using the usual PyPI channels. Example:
sudo pip install graffiti_monkey
You can find the package details here: https://pypi.python.org/pypi/graffiti_monkey
Alternatively, if you prefer to install from source:
git clone firstname.lastname@example.org:Answers4AWS/graffiti-monkey.git cd graffiti-monkey python setup.py install
This project uses Boto to
call the AWS APIs. You can pass your AWS credentials to Boto can by using a
.boto file, IAM Roles or environment variables. Full information can be
Graffiti-monkey itself can be configured using a yaml file
--- #region: us-west-1 _instance_tags_to_propagate: - 'Name' - 'Owner' _volume_tags_to_propagate: - 'Name' - 'instance_id' - 'device' - 'Owner' _volume_tags_to_be_set: - key: 'NU_ROLE' value: 'ebs' _snapshot_tags_to_be_set: - key: 'NU_ROLE' value: 'ebs_snapshot' _volumes_to_tag: # An empty list means tag all volumes # Example entries: # - 'vol-1ab2c345' # - 'vol-6de7f890' _snapshots_to_tag: # An empty list means tag all snapshots # Example entries: # - 'snap-12ab3c45' # - 'snap-6de7f890'
_instance_tags_to_propagate is used to define the tags that are propagated
from an instance to its volumes.
_volume_tags_to_propagate defines the tags
that are propagated from a volume to its snapshots.
_volume_tags_to_be_set is used to define the tags that are set on volumes
_snapshot_tags_to_be_set defines the tags that are on snapshots
_volumes_to_tag is used to define the volumes that are tagged. Leave empty
to tag all volumes.
_snapshots_to_tag is used to define the snapshots to
be tagged. Leave empty to tag all snapshots.
If the configuration file is used, the _ entry headers must exist (those entries having no values or commented out values [as shown] is acceptable).
- When using yaml configuration files you need to have pyYAML. This can be easily setup
- using pip
pip install PyYAML. If you don't use config files you don't have this limitation.
If options are specified in both the config file and on the command line, the config file options are used.
Can be found here: https://github.com/Answers4AWS/graffiti-monkey/wiki
The Python source code for Graffiti Monkey is available on GitHub:
About Answers for AWS
This code was written by Peter Sankauskas, founder of Answers for AWS - a company focused on helping businesses learn how to use AWS, without doing it the hard way. If you are looking for help with AWS, please contact us.
Copyright 2013 Answers for AWS LLC
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.