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DocumentationQuery ReferenceAPI Reference

Platform overview

What is Axiom?QuickstartArchitectureFeatures
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Datasets
Edge deployments
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Performance
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Send data

Reference architecturesMethods

Understand data

Console
Query
Builder
Editor
Query results
Visualize
Traces
Metrics
Correlations
Save queries
Stream
Dashboard
Create
Elements
Create
Configure
Element types
Gauge
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Log stream
Monitor list
Note
Pie chart
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Statistic
Table
Time series
Sections
Configure
Filter
Annotate
Monitor
Overview
View status
Configure
Examples
Monitor types
Anomaly
Match
Threshold
Alerting
Overview
Configure
Notifier types
Custom Webhook
Discord
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Microsoft Teams
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Views
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Overview
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Overview
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Overview
Axiom alerting
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SRE
Translate SPL to APL
Splunk
Overview
Splunk app
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Portal
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Observability Cloud
SPL command support
Examples
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Use cases

ObservabilityProduct analytics
LLM observability
Overview
Use Axiom AI SDK
Manual instrumentation
GenAI attributes
Redaction policies

Miscellaneous

LLMs
Overview
List of docs pages
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Query reference
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Understand data/Console

Monitors

This section introduces monitors and explains how you can use them to generate automated alerts from your event data.

A monitor is a background task that periodically runs a query that you define. For example, it counts the number of error messages in your logs over the previous 5 minutes. A notifier defines how Axiom notifies you about the monitor output. For example, Axiom can send you an email.

You can use the following types of monitor:

  • Anomaly monitors aggregate event data over time and look for values that are unexpected based on the event history. When the results of the aggregation are too high or low compared to the expected value, Axiom sends you an alert.
  • Match monitors filter for key events and send them to you.
  • Threshold monitors aggregate event data over time. When the results of the aggregation cross a threshold, Axiom sends you an alert.
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