Software Composition Analysis and GitHub Actions
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Run a Datadog Software Composition Analysis job in your GitHub Action workflows. This action invokes
Datadog osv-scanner on your codebase and uploads the results into Datadog.
Library Inventory Generation
The GitHub Action generates an inventory of libraries automatically based on the libraries that are declared in your repository.
The GitHub Action works for the following languages and following files:
- JavaScript/TypeScript:
package-lock.json and yarn.lock - Python:
requirements.txt (with version defined) and poetry.lock - Java:
pom.xml - C#
- Ruby
- … and more languages (listed in the documentation)
Setup
Set up keys
Add DD_APP_KEY and DD_API_KEY as secrets in your GitHub Actions Settings. Please ensure your Datadog application key has the code_analysis_read scope. For more information, see API and Application Keys.
Workflow
Add the following code snippet in .github/workflows/datadog-sca.yml. Make sure to replace
the dd_site attribute with the Datadog site you are using.
on: [push]
name: Datadog Software Composition Analysis
jobs:
software-composition-analysis:
runs-on: ubuntu-latest
name: Datadog SBOM Generation and Upload
steps:
- name: Checkout
uses: actions/checkout@v3
- name: Check imported libraries are secure and compliant
id: datadog-software-composition-analysis
uses: DataDog/datadog-sca-github-action@main
with:
dd_api_key: ${{ secrets.DD_API_KEY }}
dd_app_key: ${{ secrets.DD_APP_KEY }}
dd_site: "datadoghq.com"
Datadog Static Analysis analyzes your code and provides feedback in your IDE, GitHub PR or within the
Datadog environment. Datadog Static Analysis can be set up using the datadog-static-analyzer-github-action
GitHub action.
Further Reading
Additional helpful documentation, links, and articles:
