cloudquery exposes your cloud configuration and metadata as sql tables, providing powerful analysis and monitoring without writing code.

• Homepage: https://cloudquery.io
• Releases: https://github.com/cloudquery/cloudquery/releases
• Documentation: https://docs.cloudquery.io

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

export VERSION=v0.2.0
export OS=Darwin # Possible values: Linux,Windows,Darwin
curl -L https://github.com/cloudquery/cloudquery/releases/download/${VERSION}/cloudquery_${OS}_x86_64 -o cloudquery
chmod a+x cloudquery
./cloudquery --help

Currently, cloudquery only supports AWS and GCP (Azure and DigitalOcean are on the roadmap). The number of AWS and GCP resources is actively expanding.

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

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.

Run the following commands:

cp example.config.yml config.yml
# uncomment resource of interest in config.yml
./cloudquery

If you uncommented images (it may take up to 30 seconds to fetch all images), you can now run the following basic query in your sqlite3 console (sqlite3 ./cloudquery.db):

SELECT * FROM aws_ec2_images;

Full Documentation, resources and SQL schema definitions 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

cloudquery currently support GCP and AWS. Azure and DigitalOcean are on the near roadmap and we are actively expanding number of supported resource with AWS and GCP.