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Overview

Bronto gives you the ability to create monitors that actively run searches across your data and notify your teams via email or custom webhooks.

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Create Monitors

To create monitors in Bronto:
1
Navigate to Monitors > New Monitor.
2
Select the log or logs that define the monitor’s scope.
3
Apply a filter, search is in simple mode. For search syntax see here.
4
Evaluate the query over desired time from the predefined options in minutes, hours or days.
5
Set Alert Conditions. Configure monitors to trigger if the query value crosses a threshold.
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Lastly, give the monitor a name, description , email address which can be an existing user or a custom email or select an existing webhook where the notification will be sent to.
Edit Monitor Pn

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Setting Alert Conditions

The alert conditions can be configured to trigger if the count of the query reaches a predefind threshold.
  • Evaluate the query count over the last: 5 minutes, 10 minutes, 30 minutes, 1 hour, 2 hours, 4 hours or 1 day. Evaluation is across a rolling time window in groups aligned from midnight.
  • Evaluate if query is above, above or equal to, below, or below or equal to the threshold.
  • Trigger if Alert Threshold literal value is matched.

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Configure notifications

Configure your notification messages to include the information you are most interested in and specify which user, email or webhook to send these alerts to.
  • Monitor Name.
  • Monitor Description.
  • View a preview of what the notification will look like.

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Manage Monitors

Manage Monitors by editing, creating, bulk deleting and searching monitors all in the same place. From here you can easily view what email or webhook is associated to each monitor.
Manage Monitors Pn

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View Monitor Details & Status

Selecting a monitor to review from your list allows you to see its details which include its filter, source and recipients. From this page you can also view the status and event history
Monitor Details Pn

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AI Investigation Reports

When a monitor fires, Bronto can automatically run an investigation and deliver a detailed report. This shifts the on-call responder’s role from manually gathering evidence to reviewing a diagnosis — significantly reducing Mean Time to Resolution (MTTR).

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How it works

When configuring a monitor, you can provide an Investigation Prompt — a plain text description that tells the AI what to check when the monitor fires. The AI uses this context to query your log data across multiple datasets, analyse the results, and produce a report that includes a potential root cause, diagnosis, and timeline of the issue. The report is delivered as a follow-up to the monitor notification, typically within a minute of the alert triggering.

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Writing an effective Investigation Prompt

The investigation prompt is where you give the AI the context it needs. The more specific you are, the more accurate the report. Useful things to include:
  • List of dependencies of the affected service
  • Related logs and how to correlate/query them
  • Relevant keys and metrics to check
  • What to include in the report, like affected components, customers or users
Example: “Check datasets in the booking system collection. Look for related errors in the payment and auth services. Include affected customers and a timeline in the report.”
You don’t need to define every step — the AI will query your data autonomously using the context you provide. Keeping the prompt focused and specific gives better results than lengthy documentation dumps.