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44 lines
1.8 KiB
Plaintext
44 lines
1.8 KiB
Plaintext
# The form of each line in this file should be as follows:
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#
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# output_template (frequency) = method input_pattern
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#
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# This will capture any received metrics that match 'input_pattern'
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# for calculating an aggregate metric. The calculation will occur
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# every 'frequency' seconds and the 'method' can specify 'sum' or
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# 'avg'. The name of the aggregate metric will be derived from
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# 'output_template' filling in any captured fields from 'input_pattern'.
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#
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# For example, if you're metric naming scheme is:
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#
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# <env>.applications.<app>.<server>.<metric>
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#
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# You could configure some aggregations like so:
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#
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# <env>.applications.<app>.all.requests (60) = sum <env>.applications.<app>.*.requests
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# <env>.applications.<app>.all.latency (60) = avg <env>.applications.<app>.*.latency
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#
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# As an example, if the following metrics are received:
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#
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# prod.applications.apache.www01.requests
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# prod.applications.apache.www01.requests
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#
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# They would all go into the same aggregation buffer and after 60 seconds the
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# aggregate metric 'prod.applications.apache.all.requests' would be calculated
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# by summing their values.
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#
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# Template components such as <env> will match everything up to the next dot.
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# To match metric multiple components including the dots, use <<metric>> in the
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# input template:
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#
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# <env>.applications.<app>.all.<app_metric> (60) = sum <env>.applications.<app>.*.<<app_metric>>
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#
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# It is also possible to use regular expressions. Following the example above
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# when using:
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#
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# <env>.applications.<app>.<domain>.requests (60) = sum <env>.applications.<app>.<domain>\d{2}.requests
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#
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# You will end up with 'prod.applications.apache.www.requests' instead of
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# 'prod.applications.apache.all.requests'.
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#
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# Note that any time this file is modified, it will be re-read automatically.
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