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 are running multiple instances of the application, 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 are 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.

   Note: If you are running multiple instances of the application, stop the services using ./run.sh down instead.

   docker compose down -v
   

2. Confirm the containers are no longer running.

   docker ps