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VenkateshRoshan
commited on
Commit
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b6ea18a
1
Parent(s):
44ac321
Updated dockerfile and notes
Browse files- dockerfile +2 -2
- notes.txt +29 -4
dockerfile
CHANGED
@@ -21,9 +21,9 @@ RUN pip install --no-cache-dir -r requirements.txt
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# Make port 7860 available to the world outside this container
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EXPOSE 7860
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# Prometheus Node Exporter metrics
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EXPOSE
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# Prometheus Python app metrics
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EXPOSE
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# Run app.py when the container launches
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# Make port 7860 available to the world outside this container
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EXPOSE 7860
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# Prometheus Node Exporter metrics
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EXPOSE 9100
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# Prometheus Python app metrics
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EXPOSE 8000
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# Run app.py when the container launches
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notes.txt
CHANGED
@@ -35,15 +35,15 @@ RUN apt-get install -y prometheus-node-exporter
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# exposing ports
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# Prometheus Node Exporter metrics
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EXPOSE
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# Prometheus Python app metrics
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EXPOSE
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# Run both the Node Exporter and the Gradio application
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CMD ["sh", "-c", "prometheus-node-exporter & python app.py"]
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# run docker
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docker run -d -p 25560:7860 -p 25561:9100 -p 25562:8000 venkateshroshan/mlops-cs3:
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# access the application in localhost via ssh tunneling
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ssh -L 25560:localhost:25560 -L 25561:localhost:25561 -L 25562:localhost:25562 -p 2222 [email protected]
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@@ -64,6 +64,9 @@ ngrok http 25561
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ngrok http 25562
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# Grafana visualization
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docker pull grafana/grafana:latest
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@@ -90,4 +93,26 @@ ssh -L 25560:localhost:25560 -L 25561:localhost:25561 -L 25562:localhost:25562 -
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http://localhost:25564/targets?search=
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go to grafana http://localhost:25563
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create a dashboard and add prometheus with the link as 192.168.0.230:25564
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# exposing ports
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# Prometheus Node Exporter metrics
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EXPOSE 9100
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# Prometheus Python app metrics
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EXPOSE 8000
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# Run both the Node Exporter and the Gradio application
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CMD ["sh", "-c", "prometheus-node-exporter & python app.py"]
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# run docker
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docker run -d -p 25560:7860 -p 25561:9100 -p 25562:8000 venkateshroshan/mlops-cs3:latest4
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# access the application in localhost via ssh tunneling
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ssh -L 25560:localhost:25560 -L 25561:localhost:25561 -L 25562:localhost:25562 -p 2222 [email protected]
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ngrok http 25562
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# to run forever - use nohup
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nohup ngrok http --log=log.txt http://localhost:25560 > /dev/null &
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# Grafana visualization
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docker pull grafana/grafana:latest
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http://localhost:25564/targets?search=
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go to grafana http://localhost:25563
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create a dashboard and add prometheus with the link as http://192.168.0.230:25564
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# Final RUN
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docker pull venkateshroshan/mlops-cs3:latest4
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docker run -d -p 25560:7860 -p 25561:9100 -p 25562:8000 --name group13_app venkateshroshan/mlops-cs3:latest4
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docker pull docker pull grafana/grafana:latest
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docker run -d -p 25563:3000 --name group13_grafana grafana/grafana:latest
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docker pull prom/prometheus
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docker run -d -p 25564:9090 -v $(pwd)/prometheus.yml:/etc/prometheus/prometheus.yml --name group13_prometheus prom/prometheus
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ssh -L 25560:localhost:25560 -L 25561:localhost:25561 -L 25562:localhost:25562 -L 25563:localhost:25563 -L 25564:localhost:25564 -p 2222 [email protected]
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# visualize these 4 metrics
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transcription_requests_total - Total transcription requests
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transcription_request_duration_seconds - Duration of transcription requests in seconds
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transcription_memory_usage_bytes - Memory used by the transcription function
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ram_usage_percentage - Percentage of total RAM used by the transcription function
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