Introduction

ElastAlert 2 is a simple framework for alerting on anomalies, spikes, or other patterns of interest from data in Elasticsearch and OpenSearch.

If you have data being written into Elasticsearch in near real time and want to be alerted when that data matches certain patterns, ElastAlert 2 is the tool for you.

Overview

We designed ElastAlert 2 to be reliable, highly modular, and easy to setup.

It works by combining Elasticsearch with two types of components, rules and alerts. The datasource, typically Elasticsearch, is periodically queried and the data is passed to the rule type, which determines when a match is found. When a match occurs, it is given to one or more alerts, which take action based on the match.

This is configured by a set of rules, each of which defines a query, a rule type, and a set of alerts.

Several rule types with common monitoring paradigms are included with ElastAlert 2:

  • “Match where there are X events in Y time” (frequency type)

  • “Match when the rate of events increases or decreases” (spike type)

  • “Match when there are less than X events in Y time” (flatline type)

  • “Match when a certain field matches a blacklist/whitelist” (blacklist and whitelist type)

  • “Match on any event matching a given filter” (any type)

  • “Match when a field has two different values within some time” (change type)

Currently, we have support built in for these alert types:

  • Alerta

  • Alertmanager

  • AWS SES (Amazon Simple Email Service)

  • AWS SNS (Amazon Simple Notification Service)

  • Chatwork

  • Command

  • Datadog

  • Debug

  • Dingtalk

  • Discord

  • Email

  • Exotel

  • Gitter

  • GoogleChat

  • Graylog GELF

  • HTTP POST

  • HTTP POST 2

  • Indexer

  • Iris

  • Jira

  • Lark

  • Line Notify

  • Mattermost

  • Microsoft Teams

  • OpsGenie

  • PagerDuty

  • PagerTree

  • Rocket.Chat

  • Squadcast

  • ServiceNow

  • Slack

  • Splunk On-Call (Formerly VictorOps)

  • Stomp

  • Telegram

  • Tencent SMS

  • TheHive

  • Twilio

  • WorkWechat

  • Zabbix

Additional rule types and alerts can be easily imported or written. (See Writing rule types and Writing alerts)

In addition to this basic usage, there are many other features that make alerts more useful:

  • Alerts link to Kibana Discover searches

  • Aggregate counts for arbitrary fields

  • Combine alerts into periodic reports

  • Separate alerts by using a unique key field

  • Intercept and enhance match data

To get started, check out Running ElastAlert 2 For The First Time.

Reliability

ElastAlert 2 has several features to make it more reliable in the event of restarts or Elasticsearch unavailability:

  • ElastAlert 2 saves its state to Elasticsearch and, when started, will resume where previously stopped

  • If Elasticsearch is unresponsive, ElastAlert 2 will wait until it recovers before continuing

  • Alerts which throw errors may be automatically retried for a period of time

Modularity

ElastAlert 2 has three main components that may be imported as a module or customized:

Rule types

The rule type is responsible for processing the data returned from Elasticsearch. It is initialized with the rule configuration, passed data that is returned from querying Elasticsearch with the rule’s filters, and outputs matches based on this data. See Writing rule types for more information.

Alerts

Alerts are responsible for taking action based on a match. A match is generally a dictionary containing values from a document in Elasticsearch, but may contain arbitrary data added by the rule type. See Writing alerts for more information.

Enhancements

Enhancements are a way of intercepting an alert and modifying or enhancing it in some way. They are passed the match dictionary before it is given to the alerter. See Enhancements for more information.