Sentry_log.csv

Use the "Count" or "User Count" columns in your CSV to identify "noisy" bugs that affect the most customers rather than fixing edge cases.

Ensure your Sentry settings are configured to remove PII (Personally Identifiable Information) before the export to remain compliant with privacy regulations. Setting up Sentry logs sentry_log.csv

This paper outlines how to leverage exported Sentry data for technical debt reduction and operational insights. Use the "Count" or "User Count" columns in

For deep debugging, you can enrich these logs using the OpenTelemetry Collector , which allows you to match and process CSV log lines with real-time application metrics. This bridges the gap between static CSV reports and live system performance. For deep debugging, you can enrich these logs

Information about the impacted customer (e.g., user_id ). 2. Core Applications

Key-value pairs such as environment (production/staging) or browser .