I was running a Nvidia deepstream container on one of the GPU worker nodes in kubernetes cluster which is deployed as a job and below is my YAML file,

 apiVersion: batch/v1
kind: Job
metadata:
  name: deepstream-test
spec:
  backoffLimit: 1
  template:
    spec:
      containers:
        - name: nvidia-deepstream
          image: lkkrishna945/deepstream-5.0:test
          command: ["deepstream-app","-c","/opt/nvidia/deepstream/deepstream-5.0/samples/configs/deepstream-app/source30_1080p_dec_infer-resnet_tiled_display_int8_edited.txt"]
          ports:
            - containerPort: 8554
          resources:
            limits:
              nvidia.com/gpu: 1
      restartPolicy: Never

After I deployed this job it is running fine but the output of this is running on one of the worker nodes of on-perm opensource kubernetes cluster but I wanted to stream that running output which is a video.

Here's my Dockerfile which is built using base Nvidia deepstream container,

FROM nvcr.io/nvidia/deepstream:5.0-dp-20.04-triton

ADD source30_1080p_dec_infer-resnet_tiled_display_int8_edited.txt /opt/nvidia/deepstream/deepstream-5.0/samples/configs/deepstream-app/
CMD ["deepstream-app -c /samples/configs/deepstream-app/source30_1080p_dec_infer-resnet_tiled_display_int8_edited.txt"]

Can anyone help with any suggestions/solution on this?