CMQ

Cloud Multi Query (CMQ) is a Python library & CLI tool that allows you to run the same query across multiple cloud accounts in parallel, making it easy to gather insights and manage multi-account environments efficiently.

So far, CMQ only supports AWS cloud accounts. However, the plugable structure of CMQ allows for the creation of new session and resource types to include other cloud providers.

Installation

pip install cmq

Basic usage

CMQ works using profiles defined in your local machine (AWS CLI configuration). It's expected that every profile defines the access to an account/region.

Let's start listing the configured profiles:

cmq 'profile().list()'
[
   {
    "name": "account_a",
    "region": "us-east-1"
  },
  {
    "name": "account_b",
    "region": "eu-west-1"
  }
]

We can list resources for these accounts. CMQ will execute the queries in parallel. For example, lets list RDS resources:

cmq 'profile().rds().list()'
[
 {
    "DBInstanceIdentifier": "account-a-users",
    "DBInstanceClass": "db.m6g.large",
    "Engine": "postgres",
    ...
 },
 {
    "DBInstanceIdentifier": "account-b-users",
    "DBInstanceClass": "db.m6g.large",
    "Engine": "postgres",
    ...
 },
 ...
]

We can also use cmq as a Python library. This is more convenient when you need to process the results:

>>> from cmq.aws.session.profile import profile
>>> profile().sqs().list()
[
 {"resource": "https://sqs.us-east-1.amazonaws.com/123456789012/account-a-products"},
 {"resource": "https://sqs.us-east-1.amazonaws.com/123456789012/account-a-orders"},
 {"resource": "https://sqs.eu-west-1.amazonaws.com/210987654321/account-b-products"},
 {"resource": "https://sqs.eu-west-1.amazonaws.com/210987654321/account-b-orders"}
]

Enable verbose output

We can export the environment variable CMQ_VERBOSE_OUTPUT=true or use the option verbose in the CLI to output the progress of the query. This is particular useful when you have many accounts to process:

cmq --verbose 'profile().elasticache().list()'
 100.00% :::::::::::::::::::::::::::::::::::::::: |        1 /        1 |:  account-dev     elasticache
 100.00% :::::::::::::::::::::::::::::::::::::::: |        1 /        1 |:  account-test    elasticache
 100.00% :::::::::::::::::::::::::::::::::::::::: |        1 /        1 |:  account-prd1    elasticache
 100.00% :::::::::::::::::::::::::::::::::::::::: |        1 /        1 |:  account-prd2    elasticache
 100.00% :::::::::::::::::::::::::::::::::::::::: |        1 /        1 |:  account-prd3    elasticache
[
    ... resource list ...
]

Docs

• https://ocadotechnology.github.io/cmq/

Examples

List RDS resources in one profile with name account_a

cmq 'profile(name="account_a").rds().list()'

List SNS topics for all profiles, but returning a dictionary where the key is the name of the profile:

cmq 'profile().sns().dict()'
{
    "account_a": [
        ... topics from account a ...
    ],
     "account_b": [
        ... topics from account b ...
    ],
}

List all roles for all accounts, but return only the RoleName field:

cmq 'profile().role().attr("RoleName").list()'

List DynamoDB tables, but limit the results to 10 tables:

cmq 'profile().dynamodb().limit(10).list()'

CMQ uses boto3 to list/describe resources. You can also use the parameters of the boto3 functions to filter resources in the request. For example, this will list all SQS queues with prefix order in all accounts:

cmq 'profile().sqs(QueueNamePrefix="order").list()'

We can also filter resources in the response. CMQ is built with a set of quick filters that you can use with any resource type. All the filters have the same structure: __filter__(key, value)

For example, the following query list Lambda functions running with python3.10 in all accounts:

cmq 'profile().function().eq("Runtime", "python3.10").list()'

These are the supported quick filters:

• eq
• ne
• in_
• contains
• not_contains
• starts_with
• ends_with
• gt
• lt

Supported resources

AWS

• address
• alarm
• cloudformation
• cloudtrail
• dynamodb
• ec2
• elasticache_parameter_group
• elasticache_replication_group
• elasticache_subnet_group
• elasticache
• function
• kinesis
• kms_alias
• kms
• log_event
• log_stream
• log
• metric
• rds_parameter_group
• rds
• resource_explorer
• resource_group
• role
• s3_object
• s3
• sns
• sqs
• user_key
• user