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which requires multiple machines for storage and analysis,
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are too heavy for application monitoring.
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An cost-effective solution is needed to monitor the traffic metrics/status of application requests.
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That solution should be accurate, sensitive, robust, light weight enough, and not affected by traffic peaks.
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An cost-effective solution is in need to monitor the traffic metrics/status of application requests.
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This solution should be accurate, sensitive, robust, light weight enough, and not affected by traffic peaks.
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## How it works?
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The module keeps in its context a list of **metrics** identified by `accounting_id`.
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This module keeps a list of **metrics** identified by `accounting_id` in its context.
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When a new **request** hits the server, the module will try to find its `accounting_id`, calculate statistics, and **aggregate** them into the corresponding metrics by `accounting_id`.
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For every period (defined by `interval`), a timer event is triggered, those metrics are rotated and exported to log files or sent to remote log servers.
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For each time period (defined by `interval`), a timer event is triggered, those metrics are rotated and exported to log files or sent to remote log servers.
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---
@@ -39,7 +39,6 @@ Add following lines at the beginning of `nginx.conf`:
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