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# Alert when there is a sudden spike in the volume of events
# (Optional)
# Elasticsearch host
# es_host: elasticsearch.example.com
# (Optional)
# Elasticsearch port
# es_port: 14900
# (Optional) Connect with SSL to Elasticsearch
#use_ssl: True
# (Optional) basic-auth username and password for Elasticsearch
#es_username: someusername
#es_password: somepassword
# (Required)
# Rule name, must be unique
name: Event spike
# (Required)
# Type of alert.
# the spike rule type compares the number of events within two sliding windows to each other
type: spike
# (Required)
# Index to search, wildcard supported
index: logstash-*
# (Required one of _cur or _ref, spike specific)
# The minimum number of events that will trigger an alert
# For example, if there are only 2 events between 12:00 and 2:00, and 20 between 2:00 and 4:00
# _ref is 2 and _cur is 20, and the alert WILL fire because 20 is greater than threshold_cur and (_ref * spike_height)
threshold_cur: 5
#threshold_ref: 5
# (Required, spike specific)
# The size of the window used to determine average event frequency
# We use two sliding windows each of size timeframe
# To measure the 'reference' rate and the current rate
timeframe:
hours: 2
# (Required, spike specific)
# The spike rule matches when the current window contains spike_height times more
# events than the reference window
spike_height: 3
# (Required, spike specific)
# The direction of the spike
# 'up' matches only spikes, 'down' matches only troughs
# 'both' matches both spikes and troughs
spike_type: "up"
# (Required)
# A list of Elasticsearch filters used for find events
# These filters are joined with AND and nested in a filtered query
# For more info: http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl.html
filter:
- query:
query_string:
query: "field: value"
- type:
value: "some_doc_type"
# (Required)
# The alert is use when a match is found
alert:
- "email"
# (required, email specific)
# a list of email addresses to send alerts to
email:
- "elastalert@example.com"
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