View Open Telemetry Data

DL Streamer Pipeline Server supports gathering metrics over Open Telemetry. The supported metrics currently are:

• cpu_usage_percentage: Tracks CPU usage percentage of DL Streamer Pipeline Server python process

• memory_usage_bytes: Tracks memory usage in bytes of DL Streamer Pipeline Server python process

• fps_per_pipeline: Tracks FPS for each active pipeline instance in DL Streamer Pipeline Server

• Open https://<HOST_IP>/prometheus in your browser to view the prometheus console and try out the below queries:

  Note: If you’re running multiple instances of app, ensure to provide NGINX_HTTPS_PORT number in the url for the app instance i.e. replace <HOST_IP> with <HOST_IP>:<NGINX_HTTPS_PORT> If you’re running a single instance and using an NGINX_HTTPS_PORT other than the default 443, replace <HOST_IP> with <HOST_IP>:<NGINX_HTTPS_PORT>

  • cpu_usage_percentage

  • memory_usage_bytes

  • fps_per_pipeline{}

    • If you are starting multiple pipelines, then it can also be queried per pipeline ID. Example: fps_per_pipeline{pipeline_id="658a5260f37d11ef94fc0242ac160005"}

    

End the demonstration

Follow this procedure to stop the sample application and end this demonstration.

1. Stop the sample application with the following command.

   If you’re running multiple instances of app, stop the services using ./run.sh down instead.

   docker compose down -v
   

2. Confirm the containers are no longer running.

   docker ps