cloudquery transforms your cloud infrastructure into queryable SQL or Graphs for easy monitoring, governance and security.

cloudquery pulls, normalize, expose and monitor your cloud infrastructure and SaaS apps as SQL or Graph(Neo4j) database. This abstracts various scattered APIs enabling you to define security,governance,cost and compliance policies with SQL or Cypher(Neo4j).

cloudquery can be easily extended to more resources and SaaS providers (open an Issue).

cloudquery comes with built-in policy packs such as: AWS CIS (more is coming!).

Think about cloudquery as a compliance-as-code tool inspired by tools like osquery and terraform, cool right?

• Homepage: https://cloudquery.io
• Releases: https://github.com/cloudquery/cloudquery/releases
• Documentation: https://docs.cloudquery.io
• Schema explorer (schemaspy): https://schema.cloudquery.io/
• Database Configuration: https://docs.cloudquery.io/database-configuration

Currently, we support: AWS, Azure, GCP, Kubernetes (alpha support) and Okta. If you want us to add a new provider or resource please open an Issue.

You can download the precompiled binary from releases, or using CLI:

export OS=Darwin # Possible values: Linux,Windows,Darwin
curl -L https://github.com/cloudquery/cloudquery/releases/latest/download/cloudquery_${OS}_x86_64 -o cloudquery
chmod a+x cloudquery
./cloudquery --help

# if you want to download a specific version and not latest use the following endpoint
export VERSION= # specifiy a version
curl -L https://github.com/cloudquery/cloudquery/releases/download/${VERSION}/cloudquery_${OS}_x86_64 -o cloudquery

Homebrew

brew install cloudquery/tap/cloudquery
# After initial install you can upgrade the version via:
brew upgrade cloudquery

First generate a config.yml file that will describe which resources you want cloudquery to pull, normalize and transform resources to the specified SQL database by running the following command:

./cloudquery gen config aws # choose one or more from: [aws azure gcp okta]
# ./cloudquery gen config gcp okta # This will generate a config containing gcp and okta providers
# ./cloudquery gen config --help # Show all possible auto generated configs and flags

Once your config.yml is generated run the following command to fetch the resources:

./cloudquery fetch
# you can choose a database backend via --driver sqlite/mysql/postgresql/sqlserver/neo4j --dsn <connection_string>
# ./cloudquery fetch --help # Show all possible fetch flags

If you used the default sqlite provider you run the following example queries from sqlite shell

List ec2_images

SELECT * FROM aws_ec2_images;

Find all public facing AWS load balancers

SELECT * FROM aws_elbv2_load_balancers WHERE scheme = 'internet-facing';

cloudquery comes with some ready compliance policy pack which you can use as is or modify to fit your use-case.

Currently, cloudquery support AWS CIS policy pack (it is under active development, so it doesn't cover the whole spec yet).

To run AWS CIS pack enter the following commands (make sure you fetched all the resources beforehand by the fetch command):

./cloudquery gen policy aws_cis
./cloudquery query 

Full Documentation, resources and SQL schema definitions are available here

You should be authenticated with an AWS account with correct permission with either option (see full documentation):

• AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY
• ~/.aws/credentials created via aws configure
• AWS_PROFILE

Multi-account AWS support is available by using an account which can AssumeRole to other accounts.

In your config.yml you need to specify role_arns if you want to query multiple accounts in the following way:

 accounts:
     - role_arn: <arn>

You should set the following environment variables: AZURE_CLIENT_ID,AZURE_CLIENT_SECRET, AZURE_TENANT_ID which you can generate via az ad sp create-for-rbac --sdk-auth. See full details at environment based authentication for sdk

You should be authenticated with a GCP that has correct permissions for the data you want to pull. You should set GOOGLE_APPLICATION_CREDENTIALS to point to your downloaded credential file.

You need to set OKTA_TOKEN environment variable

SELECT gcp_storage_buckets.name
FROM gcp_storage_buckets
         JOIN gcp_storage_bucket_policy_bindings ON gcp_storage_bucket_policy_bindings.bucket_id = gcp_storage_buckets.id
         JOIN gcp_storage_bucket_policy_bindings_members ON gcp_storage_bucket_policy_bindings_members.bucket_policy_binding_id = gcp_storage_bucket_policy_bindings.id
WHERE gcp_storage_bucket_policy_bindings_members.name = 'allUsers' AND gcp_storage_bucket_policy_bindings.role = 'roles/storage.objectViewer';

SELECT * FROM aws_elbv2_load_balancers WHERE scheme = 'internet-facing';

SELECT * from aws_rds_clusters where storage_encrypted = 0;

SELECT * from aws_s3_buckets
    JOIN aws_s3_bucket_encryption_rules ON aws_s3_buckets.id != aws_s3_bucket_encryption_rules.bucket_id;

More examples are available here

By contributing to cloudquery you agree that your contributions will be licensed as defined on the LICENSE file.

go build .
./cloudquery # --help to see all options

Feel free to open Pull-Request for small fixes and changes. For bigger changes and new providers please open an issue first to prevent double work and discuss relevant stuff.