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We currently use Streamlit for dashboarding and have a custom data-logging functionality that logs the data into CSV files to be read by streamlit.
UpTrain config has parameters (st_logging) to turn streamlit logging on and off (https://github.com/uptrain-ai/uptrain/blob/main/uptrain/core/classes/helpers/config_handler.py)
Depending upon the config, the Log Handler class (https://github.com/uptrain-ai/uptrain/blob/main/uptrain/core/classes/logging/log_handler.py) - has functions like "add_scalars", "add_histogram", "add_alert", etc. which takes in the data and plot them onto dashboards.
The integration will be primarily done in the Log Handler class
Grafana - https://github.com/grafana/grafana Prometheus - https://github.com/prometheus/prometheus
The text was updated successfully, but these errors were encountered:
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We currently use Streamlit for dashboarding and have a custom data-logging functionality that logs the data into CSV files to be read by streamlit.
UpTrain config has parameters (st_logging) to turn streamlit logging on and off (https://github.com/uptrain-ai/uptrain/blob/main/uptrain/core/classes/helpers/config_handler.py)
Depending upon the config, the Log Handler class (https://github.com/uptrain-ai/uptrain/blob/main/uptrain/core/classes/logging/log_handler.py) - has functions like "add_scalars", "add_histogram", "add_alert", etc. which takes in the data and plot them onto dashboards.
The integration will be primarily done in the Log Handler class
Grafana - https://github.com/grafana/grafana
Prometheus - https://github.com/prometheus/prometheus
The text was updated successfully, but these errors were encountered: