Nodinite Monitoring of the Data Factory service and related Pipelines in Azure
Don't let your business down! Get alerts when thers is a problem with the Data Factory and related Pipelines. You can access details without the Azure portal.
This page provides documentation about Data Factory related monitoring options using Nodinite from one or more role-based Monitor Views. Nodinite monitor the Azure Data Factory and related Pipelines. You can manage the monitoring thresholds for the Data Factory Pipelines; Remote commands are available as Actions to help you swiftly address reported problems. The Remote Actions are detailed on the Managing Data Factory page.
Example list of monitored Data Factory in a Nodinite Monitor View
Monitoring Features
- State Evaluation - Provide state evaluation according to the pre-defined policy.
If Nodinite can't check your Data Factory items' state, chances are no one else can use them either.
- The Data Factory discovers Automatically
- The Nodinite Azure Agent makes use of the Azure Rest API. Hence, Data Factory presents automatically.
- Category-based monitoring - The monitored Resources groups by the Nodinite Categories concept.
- Share access to individual items from within Nodinite using one or more role-based Monitor Views.
State evaluation
The Data Factory and related Pipelines to monitor manifests within Nodinite as one or more Resources. For example, if you have three Data Factories with two pipelines each, you will have nine Resources in Nodinite.
- The Nodinite Resources name is the same as the deployed Data Factory name.
- Monitored Data Factory belongs to the 'Data Factory' Category:
Many other Azure related Categories exists as well, please review the Azure Monitoring Overview
- The Application name is created with the following pattern:
Configuration name/Resource Group Name
Each item (presented in Nodinite as a Resource) evaluates with a state (i.e. OK, Warning, Error, Unavailable).
You can override the evaluation process by configuring the Expected State option available for all Nodinite Resources.
Data Factory
For Data Factory Resources, the state evaluates as described in the table below:
| State | Status | Description | Actions | |
|---|---|---|---|---|
| Unavailable | Resource not available |
|
Review prerequisites | |
| Error | Error threshold is breached | Not implemented | ||
| Warning | Warning threshold is breached | Not Implemented | ||
| OK | Within user-defined thresholds | Details |
Data Factory Pipeline
For the Data Factory Pipeline Resources, the state evaluates as described in the table below:
| State | Status | Description | Actions | |
|---|---|---|---|---|
| Unavailable | Resource not available |
|
Review prerequisites | |
| Error | Error threshold is breached | Within the lookback period, one or more Pipeline runs:
|
Edit | |
| Warning | Warning threshold is breached | Within the lookback period, one or more Pipeline runs:
|
Edit | |
| OK | Within user-defined thresholds | Details |
Alert history for Data Factory
During root cause analysis or other purposes, it might be useful to understand how often your Data Factory problems happen. If your Monitor View allows it, you can search for historical state changes for the provided time-span either for all your Data Factory or individually. This topic is further detailed within the generic instructions on how to Add or manage Monitor View page.
| Search | Resource history |
|---|---|
 Search for alert history for all resources in the Monitor View |
 Alert history for the selected Data Factory item |
Frequently asked questions
Use the troubleshooting guide to find the FAQ and answers to known problems.