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Overview
If you don’t use CircleCI Orbs or GitHub Actions, you can run the Datadog CLI directly in your CI pipeline platform.
Prerequisites:
Configure the following environment variables:
| Name | Description | Required | Default |
|---|
DD_API_KEY | Your Datadog API key. This key is created by your Datadog organization and should be stored as a secret. | Yes | |
DD_APP_KEY | Your Datadog application key. This key is created by your Datadog organization and should be stored as a secret. | Yes | |
DD_SITE | The Datadog site to send information to. Your Datadog site is | No | datadoghq.com |
Provide the following inputs:
| Name | Description | Required | Default |
|---|
service | The name of the service to tag the results with. | Yes | |
env | The environment to tag the results with. ci is a helpful value for this input. | No | none |
cpu_count | Set the number of CPUs used by the analyzer. Defaults to the number of CPUs available. | No | |
subdirectory | The subdirectory path the analysis should be limited to. The path is relative to the root directory of the repository. | No | |
Add a `--performance-statistics` flag to your static analysis command to get execution time statistics for analyzed files.
Select an analyzer for your architecture and OS:
| Architecture | OS | Name | Link |
|---|
aarch64 | Darwin | datadog-static-analyzer-aarch64-apple-darwin.zip | Download |
aarch64 | Linux | datadog-static-analyzer-aarch64-unknown-linux-gnu.zip | Download |
x86_64 | Darwin | datadog-static-analyzer-x86_64-apple-darwin.zip | Download |
x86_64 | Linux | datadog-static-analyzer-x86_64-unknown-linux-gnu.zip | Download |
x86_64 | Windows | datadog-static-analyzer-x86_64-pc-windows-msvc.zip | Download |
Add the following to your CI pipeline:
The following example uses the x86_64 Linux version of Datadog's static analyzer. If you're using a different OS or architecture, you should select it from the table above and update the DATADOG_STATIC_ANALYZER_URL value below. You can view all releases on our
GitHub Releases page.
# Set the Datadog site to send information to
export DD_SITE="datadoghq.com"
# Install dependencies
npm install -g @datadog/datadog-ci
# Download the latest Datadog static analyzer:
# https://github.com/DataDog/datadog-static-analyzer/releases
DATADOG_STATIC_ANALYZER_URL=https://github.com/DataDog/datadog-static-analyzer/releases/latest/download/datadog-static-analyzer-x86_64-unknown-linux-gnu.zip
curl -L $DATADOG_STATIC_ANALYZER_URL > /tmp/ddog-static-analyzer.zip
unzip /tmp/ddog-static-analyzer.zip -d /tmp
mv /tmp/datadog-static-analyzer /usr/local/datadog-static-analyzer
# Run Static Analysis
/usr/local/datadog-static-analyzer -i . -o /tmp/report.sarif -f sarif
# Upload results
datadog-ci sarif upload /tmp/report.sarif --service <service> --env <env>
Further Reading
Additional helpful documentation, links, and articles:
