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Azure ResourceGraph Exporter

dhi.io/azure-resourcegraph-exporter

Azure ResourceGraph Exporter

CIS
FIPS
STIG
linux/amd64
linux/arm64

Prometheus exporter for Azure ResourceGraph queries

How to use this image

All examples in this guide use the public image. If you’ve mirrored the repository for your own use (for example, to your Docker Hub namespace), update your commands to reference the mirrored image instead of the public one.

For example:

  • Public image: dhi.io/<repository>:<tag>
  • Mirrored image: <your-namespace>/dhi-<repository>:<tag>

For the examples, you must first use docker login dhi.io to authenticate to the registry to pull the images.

What's included in this Azure ResourceGraph Exporter image

This Docker Hardened Azure ResourceGraph Exporter image includes:

  • The azure-resourcegraph-exporter binary: a Prometheus exporter that runs Azure Resource Graph queries and exposes the results as metrics
  • Support for user-defined query and field configuration (see the upstream example.yaml and example.azure.yaml)
  • Per-request caching of query results
  • Support for multiple Azure authentication methods

Start an Azure ResourceGraph Exporter container

Note: The Azure ResourceGraph Exporter requires Azure credentials and a query configuration file to produce meaningful metrics. The examples below demonstrate basic usage patterns.

The Azure ResourceGraph Exporter connects to the Azure Resource Graph API to run configured queries and exposes the results in Prometheus format on port 8080.

Basic usage
# Run with Azure Service Principal authentication and a mounted config file
docker run --rm --name azure-resourcegraph-exporter \
  -e AZURE_CLIENT_ID="your-client-id" \
  -e AZURE_CLIENT_SECRET="your-client-secret" \
  -e AZURE_TENANT_ID="your-tenant-id" \
  -e AZURE_SUBSCRIPTION_ID="your-subscription-id" \
  -v "$(pwd)/example.yaml:/config.yaml:ro" \
  -p 8080:8080 \
  dhi.io/azure-resourcegraph-exporter:<tag> --config=/config.yaml
Entry point

Upstream runs the binary at /azure-resourcegraph-exporter; this image runs it at /usr/local/bin/azure-resourcegraph-exporter, and the old path does not exist. If a Kubernetes manifest or Dockerfile names the binary explicitly (for example command: ["/azure-resourcegraph-exporter"]), update it to the new path.

Environment variables

The Azure ResourceGraph Exporter supports multiple authentication methods and configuration options:

VariableDescriptionDefaultRequired
AZURE_CLIENT_IDAzure Service Principal client IDnoneYes*
AZURE_CLIENT_SECRETAzure Service Principal client secretnoneYes*
AZURE_TENANT_IDAzure tenant IDnoneYes*
AZURE_SUBSCRIPTION_IDAzure subscription ID to querynoneYes
AZURE_ENVIRONMENTAzure cloud environment (AzurePublicCloud, etc.)AzurePublicCloudNo
CONFIGPath to the query configuration filenoneYes
SERVER_BINDServer bind address:8080No
SERVER_TIMEOUT_READServer read timeout5sNo
SERVER_TIMEOUT_WRITEServer write timeout10sNo

*Required when using Service Principal authentication. Managed Identity authentication is also supported.

HTTP endpoints
EndpointDescription
/metricsDefault Prometheus Go runtime metrics
/probeRun the configured Resource Graph queries without a named module
/probe?module=<name>Run the queries defined for module <name>
/probe?module=<name>&cache=2mRun the queries for module <name> and cache the result for 2 minutes
/healthzLiveness check
/readyzReadiness check
/queryHTML console for interactively running Resource Graph queries
Authentication methods

The exporter supports several Azure authentication methods. Service Principal, Managed Identity, and Workload Identity all work in the runtime variant. The Azure CLI and Azure PowerShell legs of the default credential chain do not, because the runtime variant has no shell to run them (this matches upstream's own image, which is also shell-less); use one of the other methods instead.

Service Principal (Environment Variables)
docker run --rm \
  -e AZURE_CLIENT_ID="your-client-id" \
  -e AZURE_CLIENT_SECRET="your-client-secret" \
  -e AZURE_TENANT_ID="your-tenant-id" \
  -e AZURE_SUBSCRIPTION_ID="your-subscription-id" \
  -v "$(pwd)/example.yaml:/config.yaml:ro" \
  -p 8080:8080 \
  dhi.io/azure-resourcegraph-exporter:<tag> --config=/config.yaml
Managed Identity (when running on Azure)
docker run --rm \
  -e AZURE_SUBSCRIPTION_ID="your-subscription-id" \
  -v "$(pwd)/example.yaml:/config.yaml:ro" \
  -p 8080:8080 \
  dhi.io/azure-resourcegraph-exporter:<tag> --config=/config.yaml

Image variants

Docker Hardened Images come in different variants depending on their intended use. Image variants are identified by their tag.

  • Runtime variants are designed to run your application in production. These images are intended to be used either directly or as the FROM image in the final stage of a multi-stage build. These images typically:

    • Run as a nonroot user
    • Do not include a shell or a package manager
    • Contain only the minimal set of libraries needed to run the app
  • Build-time variants typically include dev in the tag name and are intended for use in the first stage of a multi-stage Dockerfile. These images typically:

    • Run as the root user
    • Include a shell and package manager
    • Are used to build or compile applications

To view the image variants and get more information about them, select the Tags tab for this repository, and then select a tag.

FIPS variants

FIPS variants include fips in the variant name and tag. They come in both runtime and build-time variants. These variants use cryptographic modules that have been validated under FIPS 140, a U.S. government standard for secure cryptographic operations. For example, usage of MD5 fails in FIPS variants.

Migrate to a Docker Hardened Image

To migrate your application to a Docker Hardened Image, you must update your Dockerfile. At minimum, you must update the base image in your existing Dockerfile to a Docker Hardened Image. This and a few other common changes are listed in the following table of migration notes.

ItemMigration note
Base imageReplace your base images in your Dockerfile with a Docker Hardened Image.
Package managementNon-dev images, intended for runtime, don't contain package managers. Use package managers only in images with a dev tag.
Non-root userBy default, non-dev images, intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user.
Multi-stage buildUtilize images with a dev tag for build stages and non-dev images for runtime. For binary executables, use a static image for runtime.
TLS certificatesDocker Hardened Images contain standard TLS certificates by default. There is no need to install TLS certificates.
PortsNon-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues, configure your application to listen on port 1025 or higher inside the container.
Entry pointDocker Hardened Images may have different entry points than images such as Docker Official Images. Inspect entry points for Docker Hardened Images and update your Dockerfile if necessary.
No shellBy default, non-dev images, intended for runtime, don't contain a shell. Use dev images in build stages to run shell commands and then copy artifacts to the runtime stage.

The following steps outline the general migration process.

  1. Find hardened images for your app. A hardened image may have several variants. Inspect the image tags and find the image variant that meets your needs.

  2. Update the base image in your Dockerfile. Update the base image in your application's Dockerfile to the hardened image you found in the previous step. For framework images, this is typically going to be an image tagged as dev because it has the tools needed to install packages and dependencies.

  3. For multi-stage Dockerfiles, update the runtime image in your Dockerfile. To ensure that your final image is as minimal as possible, you should use a multi-stage build. All stages in your Dockerfile should use a hardened image. While intermediary stages will typically use images tagged as dev, your final runtime stage should use a non-dev image variant.

  4. Install additional packages Docker Hardened Images contain minimal packages in order to reduce the potential attack surface. You may need to install additional packages in your Dockerfile. Inspect the image variants to identify which packages are already installed.

Only images tagged as dev typically have package managers. You should use a multi-stage Dockerfile to install the packages. Install the packages in the build stage that uses a dev image. Then, if needed, copy any necessary artifacts to the runtime stage that uses a non-dev image.

For Alpine-based images, you can use apk to install packages. For Debian-based images, you can use apt-get to install packages.

Troubleshooting migration

The following are common issues that you may encounter during migration.

General debugging

The hardened images intended for runtime don't contain a shell nor any tools for debugging. The recommended method for debugging applications built with Docker Hardened Images is to use Docker Debug⁠ to attach to these containers. Docker Debug provides a shell, common debugging tools, and lets you install other tools in an ephemeral, writable layer that only exists during the debugging session.

Permissions

By default image variants intended for runtime, run as the nonroot user. Ensure that necessary files and directories are accessible to the nonroot user. You may need to copy files to different directories or change permissions so your application running as the nonroot user can access them.

Privileged ports

Non-dev hardened images run as a nonroot user by default. As a result, applications in these images can't bind to privileged ports (below 1024) when running in Kubernetes or in Docker Engine versions older than 20.10. To avoid issues, configure your application to listen on port 1025 or higher inside the container, even if you map it to a lower port on the host. For example, docker run -p 80:8080 my-image will work because the port inside the container is 8080, and docker run -p 80:81 my-image won't work because the port inside the container is 81.

No shell

By default, image variants intended for runtime don't contain a shell. Use dev images in build stages to run shell commands and then copy any necessary artifacts into the runtime stage. In addition, use Docker Debug to debug containers with no shell.

Entry point

Docker Hardened Images may have different entry points than images such as Docker Official Images. Use docker inspect to inspect entry points for Docker Hardened Images and update your Dockerfile if necessary.