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Prometheus exporter for dockerhub rate limits

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Dockerhub rate limit prometheus metrics exporter

Docker Image Size (latest by date) Docker Image Version (latest by date) Docker Pulls License GitHub issues

AboutUsageImage ConfigurationLocal DemoHelm ChartTodoIssuesAcknowledgment


About

This exporter allows to retrieve the DockerHub rate limit counts as scrape target for Prometheus. The exporter obtains an auth token and then queries the Docker Hub registry with a HEAD request to parse RateLimit-Limit, RateLimit-Remaining and RateLimit-Reset into a Gauge metric. You can use your Docker Hub credentials to authenticate, otherwise an anonymous token is used.

Screenshot

Usage

Multi Arch docker images are available (arm64/amd64) you can pull it from dockerhub/github and run in your environment.

Docker

# 
docker pull khaliq/drl-exporter:latest
docker pull ghcr.io/kha7iq/drl-exporter:latest

# ARM 
docker pull ghcr.io/kha7iq/drl-exporter:v2.1.3-arm64
docker pull khaliq/drl-exporter:v2.1.3-arm64

docker run -d -p 2121:2121  khaliq/drl-exporter:latest

curl localhost:2121/metrics

Kubernetes

  1. Add chart repository
helm repo add tektonops http://charts.tektonops.com
helm repo update
  1. Install the chart
helm install drl-exporter tektonops/drl-exporter

Installing the Chart with Username and Password

Customize the chart by setting values at runtime or in the values.yaml file.

To use the exporter with a username and password, ensure enableUserAuth=true is set.

Refer to the chart repository for all configuration options.

helm install drl-exporter tektonops/drl-exporter \
 --set exporter.auth.enabled=true \
 --set exporter.auth.dockerHubUsername=<username> \
 --set exporter.auth.dockerHubPassword=<password>

Output

# HELP dockerhub_limit_max_requests_time Dockerhub rate limit maximum requests total time seconds
# TYPE dockerhub_limit_max_requests_time gauge
dockerhub_limit_max_requests_time 21600{reqsource="10.50.00.0"}
# HELP dockerhub_limit_max_requests_total Dockerhub rate limit maximum requests in given time
# TYPE dockerhub_limit_max_requests_total gauge
dockerhub_limit_max_requests_total 100{reqsource="10.50.00.0"}
# HELP dockerhub_limit_remaining_requests_time Dockerhub rate limit remaining requests time seconds
# TYPE dockerhub_limit_remaining_requests_time gauge
dockerhub_limit_remaining_requests_time 21600{reqsource="10.50.00.0"}
# HELP dockerhub_limit_remaining_requests_total Dockerhub rate limit remaining requests in given time
# TYPE dockerhub_limit_remaining_requests_total gauge
dockerhub_limit_remaining_requests_total 99{reqsource="10.50.00.0"}

Configuration Variables

Variables Default Value Description
EXPORTER_PORT 2121 Server listening port
ENABLE_USER_AUTH false️ Must be set to true if providing username
DOCKERHUB_USER "" Dockerhub account
DOCKERHUB_PASSWORD "" Account password
DOCKERHUB_REPO_IMAGE ratelimitpreview/test custom repository/image
ENABLE_FILE_AUTH false Load auth credentials from docker config file
at /$FILE_AUTH_DIR/config.json
Must leave auth through ENV empty.
FILE_AUTH_DIR /config Directory where config.json resides
ENABLE_IPV6 false Use IPv6 instead of IPv4 when fetching rate limits
REQUEST_INTERVAL 15 Specify the interval in seconds at which requests should be sent to Dockerhub

Example docker configuration config.json file below.
Note that a more extensive configuration can be handled, as long as at least an 'auths' exists for https://index.docker.io/v1/, with a username and password.

{
  "auths": {
    "https://index.docker.io/v1/": {
      "username": "MyUsername",
      "password": "MyPasswordOrToken"
    }
  }
}
  • To build the image in your local environment
git clone https://github.com/kha7iq/drl-exporter.git
cd drl-exporter
make docker

Local Demo

You can find the complete docker-compose file along with a dashboard under deploy folder to test it out.

cd deploy/docker-compose
docker-compose up -d

Web UI

Web URL
Grafana http://localhost:3000
Prometheus http://localhost:9090
Exporter http://localhost:8881

TODO

  • Tests
  • Helm Chart

Issues

Please open an issue if you are facing any problems.

Acknowledgments

This project is inspired by Michael Friedrich's amazing work.