Monitoring


Process of collecting, analyzing, and signaling event occurrences related to management of performance and availability of software applications.

Overview

Monitoring Machine Learning Models in Production
Once you have deployed your machine learning model to production it rapidly becomes apparent that the work is not over.
production monitoring tutorial article

Tutorials

Why is it Important to Monitor Machine Learning Models?
The importance of monitoring and how monitoring ML is different from application performance management (APM).
monitoring production article tutorial
You Trained a Machine Learning Model, Now What?
Three often overlooked parts of this process occur after the model is actually built: model evaluation, deployment, and monitoring.
production deployment monitoring video

Libraries

General
StreamAlert
A serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerts.
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