Here you will find some useful AWS scripts I use from time to time.
All the scripts relies on Boto, a Python package that provides interfaces to Amazon Web Services.
So, to use these scripts, you need to install Boto and provide your AWS credentinals:
To install Boto and all the required Python packages just clone this repository and type:
pip install -r requirements.txt
If dependencies are already satisfied, nothing will be installed.
To provide your AWS credentials use the boto/boto3 config file ~/.aws/credentials:
[default]
aws_access_key_id = <XXXXXXXXXXXXXXXXXXX>
aws_secret_access_key = <xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx>
region=xx-xxxx-xNote that you can use the environment variable:
AWS_DEFAULT_REGION=xx-xxxx-xto override the default region on the config file. In the ec2-instances.py script you can also use the--regionoption for the same purpose
List the EC2 instances including the Name Tag, IP, type, zone, vpc, ID and the status.
You can filter the result by name, type and/or status. Or you can provide a list of instance IDs instead.
Finally you can execute remote commands on all the instances returned by the filter or the list.
The '-h' option shows you how to use the available options.
usage: ec2-instances.py [-h] [-n NAME] [-t TYPE] [-s STATUS]
[-l ID_LIST [ID_LIST ...]] [-e EXECUTE] [-r REGION]
[-u USER]
optional arguments:
-h, --help show this help message and exit
-n NAME, --name NAME Filter result by name.
-t TYPE, --type TYPE Filer result by type.
-s STATUS, --status STATUS
Filter result by status.
-l ID_LIST [ID_LIST ...], --id_list ID_LIST [ID_LIST ...]
Provide a list of InstanceIds.
-e EXECUTE, --execute EXECUTE
Execute a command on instances
-r REGION, --region REGION
Specify an alternate region to override the one
defined in the .aws/credentials file
-u USER, --user USER User to run commands if -e option is used. Ubuntu user
is used by default
Lists all your Elastic Load Balancers and his related instances.
usage: ec2-elb.py [-h]
For every Elastic Load Balancer list the attached instances
optional arguments:
-h, --help show this help message and exitWith this script you can see the relationships between your snapshots and your EBS volumes and AMIs. This allows you to choose the snapshots you don't need to keep in the AWS S3 service.
By default the script shows all the volumes and AMIs related to each snapshost.
You you can also show all the snapshots related with each volume. This option is specially usefull when you only want to keep a certain number of snapshots per volume.
Finally, you can show all the snapshots related with each AMI.
The '-h' option shows you how to use the available options.
usage: ec2-snap-mgmt.py [-h] [-v {orphan,volumes}] owner_id
positional arguments:
owner_id 12-digit AWS Account Number
optional arguments:
-h, --help show this help message and exit
-v {orphan,volumes,images}, --view {orphan,volumes,images}
Available views: orphan and volumes. Orphan is the
default one.The script doesn't delete anything actually, just shows you the relationship in a tree view.
This is a tool to make mongodb backups on Amazon s3.
It uses mongodump to perform a binary backup of your local or remote mongodb instance. The dumped files are compressed in a tarball file and uploaded to a Amazon S3 bucket. You can specify the number of copies to retain in the bucket. The oldest ones will be automatically removed.
usage: s3-mongodump.py [-h] [-u USER] [-p PASSWORD] [-H HOST] [-d DATABASE]
[-o OUT] [-n NUMBER] -b BUCKET [-P PREFIX]
A tool to make mongodb backups on Amazon s3
optional arguments:
-h, --help show this help message and exit
-u USER, --user USER Mongodb user (optional)
-p PASSWORD, --password PASSWORD
Mongodb password (optional)
-H HOST, --host HOST Mongodb host: <hostname>:<port>.
-d DATABASE, --database DATABASE
The database to backup (all if not provided)
-o OUT, --out OUT The output directory for dumped files
-n NUMBER, --number NUMBER
Number of copies to retain in the S3 bucket
-b BUCKET, --bucket BUCKET
Amazon s3 bucket.
-P PREFIX, --prefix PREFIX
For grouped objects aka s3 folders, provide the prefix
keyThis script allows you to automatically set predictable DNS records for instances launched using AWS Auto Scaling.
It is intended to be executed from the ec2 instance at launch time. The script looks for an available name matching the provided pattern in the DNS zone. Then, it adds this name as a CNAME record in the DNS zone pointing to the EC2 instance public name.
usage: route53-set-hostname.py [-h] --HostedZoneId HOSTEDZONEID --HostStr
HOSTSTR [--rangeSize RANGESIZE] [--dryrun]
AWS Route53 hostname managment for Autoscaled EC2 Instances
optional arguments:
-h, --help show this help message and exit
--HostedZoneId HOSTEDZONEID
The ID of the hosted zone where the new resource
record will be added.
--HostStr HOSTSTR The host string used to build the new name
--rangeSize RANGESIZE
The maximun number to be assigned. The first available
will be used
--dryrun Shows what is going to be done but doesn't change
anything actuallyExample:
user@host:~$ ./route53-set-hostname.py --HostedZoneId XXXXXXXXXXXXXX --HostStr websrv --rangeSize 10
15:41:58 06/09/16: creating CNAME websrv03.example.com. -> ec2-XX-XX-XXX-XX.compute-1.amazonaws.com......INSYNCThis script is executed from the ec2 instance at shutdown. The script delete his host record zone from the passed DNS zone identifier.
usage: route53-del-hostname.py [-h] --HostedZoneId HOSTEDZONEID [--dryrun]
AWS Route53 hostname managment for Autoscaled EC2 Instances
optional arguments:
-h, --help show this help message and exit
--HostedZoneId HOSTEDZONEID
The ID of the hosted zone where the new resource
record will be added.
--dryrun Shows what is going to be done but doesn't change
anything actuallyThis script just download the requested S3 object.
usage: s3-download-file.py [-h] -b BUCKET -o OBJECTKEY -f FILEPATH
Donwload file from AWS S3
optional arguments:
-h, --help show this help message and exit
-b BUCKET, --bucket BUCKET
The bucket name.
-o OBJECTKEY, --objectkey OBJECTKEY
The host string used to build the new name
-f FILEPATH, --filepath FILEPATH
The filepath of the file to be savedAs its own name says, this worker is designed to use auto scaling lifecycle hooks.
The process looks for incoming messages into the SQS queue asociated with the autoscaling group. Then, when a message comes for the instance, it is consumed and the associated custom action is triggered. Finally, using the lifecyle action token, the worker completes the autoscaling action going on with the launch or ending the instance action.
usage: lifecycle-hook-worker.py [-h] -q QUEUE -s {LAUNCHING,TERMINATING} -g
GROUP -H HOOKNAME -e EXECUTE [-w WAIT]
SQS Lifecycle hook consumer and trigger
optional arguments:
-h, --help show this help message and exit
-q QUEUE, --queue QUEUE
Queue resource.
-s {LAUNCHING,TERMINATING}, --state {LAUNCHING,TERMINATING}
Indicates if the consumer is waiting for LAUNCHING or
TERMINATING state
-g GROUP, --group GROUP
Auto Scaling Group Name
-H HOOKNAME, --hookName HOOKNAME
Life Cycle Hook Name
-e EXECUTE, --execute EXECUTE
The filepath of the triggered script
-w WAIT, --wait WAIT Time between query loops in seconds (default: 60)Shows the main info regarding all the RDS instances such as: endpoint, engine, version, status etc.
usage: rds-instances.py [-h]
List all the RDS instances
optional arguments:
-h, --help show this help message and exit
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