Awesome

storj-log-exporter

Grok Prometheus exporter for storj storagenode logs

Installation using Docker

Clone the repository and build the container

git clone https://github.com/kevinkk525/storj-log-exporter
cd storj-log-exporter
sudo docker build -t storj-log-exporter .

Start the container

sudo docker run -d --restart unless-stopped --user "1000:1000" \
    -p 9144:9144 \
    --mount type=bind,source="<path_to_your_logfiles>",destination=/app/logs \
    --name storj-log-exporter \
    storj-log-exporter -config /app/config.yml

Change the container name to your liking, insert the path to your logfiles instead of <...>. The logfile needs to have the name "node.log" but it can not be in the path in the docker run command! E.g. you need a path like /mnt/storj/ if your logfile is /mnt/storj/node.log (because binding the logfile into the container directly will cause problems with inotify detecting changes in the file). If you run multiple exporter, make sure to change the port, e.g. -p 9145:9144 etc. The user "1000:1000" should be fine unless your logfiles can't be read by that user.

Now you can check the output at http://<node_ip>:9144/metrics

Docker Compose

Alternatively, you can add the following docker-compose example to your existing docker-compose config for your storagenode:

  storj-log-exporter:
    image: kevinkk525/storj-log-exporter:latest
    container_name: storj-log-exporter
    restart: unless-stopped
    user: "1000:1000"
    networks:
      - default
#    ports: 
#      - 9144:9144
    volumes:
      - type: bind
        source: <path_to_your_logfiles>
        target: /app/logs
    command: -config /app/config.yml

Configure in prometheus.yml

If you followed my How-To monitor all nodes in your lan on the storj forum, you should already have a job in prometheus.yml looking like this:

  - job_name: storagenode1
    scrape_interval: 30s
    scrape_timeout: 20s
    metrics_path: /
    static_configs:
      - targets: ["storj-exporter1:9651"]
        labels:
          instance: "node1"

Add the following to your existing job for each node:

  - job_name: storagenode1
    scrape_interval: 30s
    scrape_timeout: 20s
    metrics_path: /
    static_configs:
      - targets: ["storj-exporter1:9651","storj-log-exporter1:9144"]
        labels:
          instance: "node1"

Then restart prometheus. To see if it worked, check on the prometheus page the targets.

Add dashboard to Grafana

Add the dashboard from the file dashboard_log_exporter.json in the same way as described in my How-To monitor all nodes in your lan

Result

Notes

The Error Count excludes falsely classified errors (e.g. shutdown of runner, download/upload failed due to client side errors, graceful exit errors if you GE’ed on stefan-benten).

Restarts of the exporter container can cause some "strange" values on the dashboard like upload/download successrates of >100%. This is simply due to the exporter having missed a few lines of "upload/download started" while the container was restarting. There's nothing I can do about that, those line are just lost (there is an option to always read the whole file but it'll cause other problems with metrics so I can't use that option). The successrate will go back to normal after a while.

Let me know if you miss a metric or if something is wrong.

Future

I will publish a dashboard that combines the metrics from the storj-exporter and this storj-log-exporter but it might take a while.