Monitoring

Main page

This page will give you an overview of all rules that have been configured on you data assets.

For each rule, you will find a summary displaying information such as the name of the rule, the data asset(s) on which it is applied, its severity, when it was last run, the run frequency if scheduled, the creator of the rule and an overview of the last 7 runs (green dot = success, red dot = fail, orange dot = technical error/requires your attention, empty = has not ran yet)

Rule page

You have access to more detailed information by clicking on any rule.
3 tabs are available:

Overview

An overview of your rule latest state, with graph(s) of the latest run.

Graph representing the results of a ML based monitoring.

The grey area represents the confidence band predicted by the model

The black curve represents the actual dataGraph representing the results of a ML based monitoring.

The grey area represents the confidence band predicted by the model

The black curve represents the actual data

Graph representing the results of a ML based monitoring.

The grey area represents the confidence band predicted by the model, the black curve represents the actual data

Runs

You can find here all past runs with additional pieces of information: when it was run, its duration, if it has been triggered either manually or automatically from schedule and some detailed result about each run.

The red icon on the image below means that an incident is still ongoing.

Details

This will finally summarize all the parameters setup during the rule configuration.

Typical details of a rule with monitoring and alerting parameters and metadataTypical details of a rule with monitoring and alerting parameters and metadata