CloudQuery News
Announcing CloudQuery Policies
HCL policies were deprecated - see up-to-date policy documentation here.
We are excited to announce the release of the CloudQuery Policies!
CloudQuery brings the power of SQL to your cloud infrastructure, providing easy monitoring, governance and security.
The new CloudQuery Policies feature brings policy-as-code to the CloudQuery ecosystem. CQ Policies enable users to codify, version and run security, governance, cost and compliance rules, using SQL.
What’s inside? #
- HCL support: Policies can be written in HCL and/or JSON as the logical layer and SQL as the query layer.
- Native GitHub support: Policies can be downloaded and run directly from GitHub via the CQ CLI (
cloudquery policy download --help) - Views: Users can create complex SQL views once and reference them in subsequent queries.
- Query and sub-policy execution: Users can execute specific queries or sub-policies via CQ CLI (
cloudquery policy run my-policy --sub-path=my-sub-policy). - Inline policy functions: New inline policy functions are now available that allow users to define more dynamic policies. One example is the new file function that allows users to out-source query definitions to other files and to dynamically insert them during execution time.
For detailed documentation please check-out our docs.
Example Policies #
Basic #
At the basic level, each policy contains the minimum version of cq-provider that it requires, and a list of SQL queries with their respective description.
policy "test-policy" {
description = "This is a test policy"
configuration {
provider "aws" {
version = ">= 1.0"
}
}
query "top-level-query" {
description = "Top Level Query"
query = "SELECT * FROM test_policy_table WHERE name LIKE 'peter'"
}
}
Views #
Sometimes there is the need to join between multiple tables. Instead of creating complex queries multiple times, views gives you the ability to define the view once and then reference the created view in other queries in your policies.
policy "test-policy" {
description = "This is a test policy"
configuration {
provider "aws" {
version = ">= 1.0"
}
}
view "myview" {
description = "My awesome view"
query "complex-query" {
query = "SELECT * FROM test_policy_table WHERE name LIKE 'john'"
}
}
query "top-level-query" {
description = "Top Level Query"
query = "SELECT * FROM myview"
}
}
Policy-In-Policy #
It is possible to nest policies inside policies to build a policy hierarchy that will give you the ability to reference and execute only a subset of the main policy file.
policy "test-policy" {
description = "Test Policy"
configuration {
provider "aws" {
version = ">= 1.0"
}
}
view "testview" {
description = "Test View"
query "testviewquery" {
query = "SELECT * FROM test_policy_table WHERE name LIKE 'john'"
}
}
query "top-level-query" {
description = "Top Level Query"
query = "SELECT * FROM test_policy_table WHERE name LIKE 'peter'"
}
policy "sub-policy-1" {
description = "Sub Policy 1"
query "sub-level-query" {
query = "SELECT * from testview"
expect_output = true
}
policy "sub-sub-policy-1" {
description = "Sub Sub Policy 1"
query "sub-sub-level-query" {
query = "SELECT * from test_policy_table WHERE name LIKE 'peter'"
}
}
}
policy "sub-policy-2" {
description = "Sub Policy 2"
query "sub-level-query" {
query = "SELECT * from test_policy_table WHERE name LIKE 'peter'"
}
}
}
Running #
We extended the CloudQuery CLI to support downloading and running policies directly from GitHub.
Download a policy repository:
cloudquery policy download cq-policy-core
Run specific policy (latest version):
cloudquery policy run cq-policy-core aws/cis-v1.20
Run specific policy version:
cloudquery policy run cq-policy-core aws/[email protected]
You can also run a specific query inside a policy:
cloudquery policy run cq-policy-core aws/cis-v1.20 --sub-path="aws-cis-section-1/1.1"
What’s Next? #
We are always eager to hear feedback so feel free to file feature-requests/bugs/issues on our GitHub.
Also, we have more exciting features coming up to enhance the new policy feature so subscribe to our twitter and/or mailing list.
Ready to dive deeper? Contact CloudQuery here or join the CloudQuery Community to connect with other users and experts. You can also try out CloudQuery locally with our quick start guide or explore the CloudQuery Platform (currently in beta) for a more scalable solution.
Want help getting started? Join the CloudQuery community to connect with other users and experts, or message our team directly here if you have any questions.
