App Startup:
Application can run locally and in the cloud.
The application is running on an azure container and can be accessed using this link:
outlier-detection-dashboard.eastus.azurecontainer.io
If the application is for whatever reason unavailable, it can be started locally.
The application can run from a terminal window:
Install the following:
Python v3.8
On a terminal window, inside the project directory run:
pip install -r requirements.txt
Run the command:
python app.py
Navigate to the address specified using a browser (Usually 127.0.0.1:8050)
Use the UI to generate data and display results
To run the server for real time detection run command:
python cpu_usage_server.py