Machine Learning Monitoring in Production: Using Grafana and Prometheus

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This video shows the instance of monitoring production data using Grafana Dashboard.
Step 1: Install the ML Monitoring system

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Thank you so much sohini, this is very useful for us because on the internet this is very limited source of MLOPS monitoring.

devdaskarambalkar-zb

Thank you so much Sohini. I understood very quickly.

js

How did you install ml_monitor ? Please share info

ThePredator

there is not n -> n_rmse metrics in dropdown list or metrics in grafana dashboard

KavitaYadav-dhbd

Are there any tutorials or resources that you can guide me through building our own machine learning model and integrate it with Influx DB Tick Stack?

sinethfernando

Can I ask you one doubt, how on earth students will come to all these softwares, I have heard but just saw in job requirements

hariharanramamurthy

Why not just use Kubeflow prometheus component and visualize on grafana ?

renanmonteirobarbosa

Thanks, Sohini Mam, for great inputs through your video series and informative content. I believe your inputs will be super useful for the community. I have one doubt that in transfer learning (mainly in deep learning) we are using pre-trained weights and customizing the model for our data/microscopic/medical images. If we have trained our customized model with traditional ML approaches like Xgboost or LightGBM whether it is possible to retrain the old ML model/pickles by loading as we are doing in transfer learning (due to drifting problem in the test/input samples at production).

venkatesanr

Hi.. I am not able to log metrics and I am getting an error: "ml_monitor.logging: Exception raised, stopping metrics collecting.
urlopen error [WinError 10061] No connection could be made because the target machine actively refused it". Thanks for the informative content you share. Help will be highly appreciated.!!

ankithemantlade

Can you help me with mac commands for the same.

napaankur

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