Elastalert
A flexible framework for alerting on anomalies, spikes, or patterns in Elasticsearch data.
What is Elastalert?
ElastAlert is an open-source alerting framework that queries Elasticsearch data to detect anomalies, spikes, or specific patterns and triggers notifications. It solves the need for proactive monitoring and alerting on log or time-series data that Kibana alone does not provide. Users define rules to match events, and ElastAlert executes alerts through various channels like email, Slack, or PagerDuty.
DevOps engineers, SREs, and developers who use Elasticsearch and Kibana for log management and need automated alerting on data patterns or inconsistencies.
It offers a flexible, modular framework with multiple built-in rule types and alert integrations, making it easy to set up custom monitoring without building alerting infrastructure from scratch.
Overview
Easy & Flexible Alerting With ElasticSearch
Use Cases
Best For
- Alerting on sudden spikes or drops in application error rates
- Monitoring for never-before-seen terms in log fields (e.g., new user agents)
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