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Identify Bottlenecks and Latency Trends: If your logs contain durations (e.g., response times for API requests, transaction times, query execution times), calculating the average duration over time helps identify performance trends. For example, if the average duration of an API call is gradually increasing over time, this might signal that something in the system is slowing down and requires optimization (e.g., database queries taking longer, network latency increasing, etc.).
Estimate Resource Requirements: Knowing the average duration of specific processes or operations (e.g., API calls, data processing tasks) helps estimate resource requirements. For example, if the average duration of a batch job is increasing over time, it may indicate that more CPU or memory resources are needed to handle the load. By calculating averages, teams can plan for future scaling needs and ensure that the system can handle increasing load without performance degradation.
Average of a Duration/Number Facet
Error Rate Formula
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Use Cases:
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