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This datadog agent plugin will connect to elasticsearch and count occurrences of configurable terms given a time range (now-time_range~now) and push the counts to datadog.

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es-count-datadog

Purpose

This datadog agent plugin will connect to elasticsearch and count occurrences of configurable terms given a time range (now-interval till now) and push the counts to datadog. An example of use case is to send counts of occurrences of events from a logstash and create alarms that will be triggered every time the occurrences have abnormal values.

Metrics

This plugin will push a metric called "es-count.count" tagged with the term, stash and time_range, e.g.

 ('es-count.count',
  1502229650,
  0,
  {'hostname': '9b5b7bde1a6a',
   'tags': ['instance:9b5b7bde1a6a',
            'term:test2',
            'stash:test',
            'time_range:1m'],
   'type': 'count'})]

es-count.count contains the count of occurrences of {term} in the interval {now-timerange ~ now} on a given index.

IMPORTANT: The index must contain time based events and a "timestamp" field for the check to work.

Tags

Extra tags can be passed to the metrics sent by specifying them into the config file, e.g.

init_config:
instances:
  - es_address: http://elasticsearch:9200
    match:
      - index: test
        terms:
          - test1
          - test2
        time_range: 1m
      - index: test2
        terms:
          - test3
        time_range: 1m
    tags:
      - foo
      - bar
      - extra:tag

Development

  1. Start elasticsearch
docker-compose up -d elasticsearch
  1. Execute es-count check
docker-compose run datadog-agent /opt/datadog-agent/agent/agent.py check es-count

About

This datadog agent plugin will connect to elasticsearch and count occurrences of configurable terms given a time range (now-time_range~now) and push the counts to datadog.

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  • Python 100.0%