Exploring Logs for Errors and Performance
We investigate how to accurately count sampled exceptions using sum(itemCount) instead of count(), analyze dependency latency and failures with percentile calculations, and filter on non-standard HTTP status codes like 429 rate limits and 500 system errors to identify performance bottlenecks and error patterns in the telemetry data.
