Troubleshooting#

The following are options to help you resolve issues with the sample application.

WebRTC Stream on web browser#

The firewall may prevent you from viewing the video stream on web browser. Please disable the firewall using this command.

sudo ufw disable

Error Logs#

View the container logs using this command.

docker logs -f <CONTAINER_NAME>

Resolving Time Sync Issues in Prometheus#

If you see the following warning in Prometheus, it indicates a time sync issue.

Warning: Error fetching server time: Detected xxx.xxx seconds time difference between your browser and the server.

You can following the below steps to synchronize system time using NTP.

Install systemd-timesyncd if not already installed:
```
sudo apt install systemd-timesyncd
```
Check service status:
```
systemctl status systemd-timesyncd
```
Configure an NTP server (if behind a corporate proxy):
```
sudo nano /etc/systemd/timesyncd.conf
```
Add:
```
[Time]
NTP=corp.intel.com
```
Replace corp.intel.com with a different ntp server that is supported on your network.

Restart the service:

sudo systemctl restart systemd-timesyncd

Verify the status:
```
systemctl status systemd-timesyncd
```

This should resolve the time discrepancy in Prometheus.

Axis RTSP camera freezes or pipeline stops#

Restart the DL Streamer pipeline server container with the pipeline that has this rtsp source.

Deploying with Intel GPU K8S Extension#

If you’re deploying a GPU based pipeline (example: with VA-API elements like vapostproc, vah264dec etc., and/or with device=GPU in gvadetect in dlstreamer_pipeline_server_config.json) with Intel GPU k8s Extension, ensure to set the below details in the file helm/values.yaml appropriately in order to utilize the underlying GPU.

gpu:
   enabled: true
   type: "gpu.intel.com/i915"
   count: 1

Deploying without Intel GPU K8S Extension#

If you’re deploying a GPU based pipeline (example: with VA-API elements like vapostproc, vah264dec etc., and/or with device=GPU in gvadetect in dlstreamer_pipeline_server_config.json) without Intel GPU k8s Extension, ensure to set the below details in the file helm/values.yaml appropriately in order to utilize the underlying GPU.

privileged_access_required: true