Key-value pairs such as environment (production/staging) or browser .
Use the "Count" or "User Count" columns in your CSV to identify "noisy" bugs that affect the most customers rather than fixing edge cases.
To keep your sentry_log.csv useful, apply filters in Sentry (e.g., is:unresolved level:error ) before clicking the Export page to CSV button. sentry_log.csv
This paper outlines how to leverage exported Sentry data for technical debt reduction and operational insights.
By importing the CSV into tools like Excel or Google Sheets, you can create pivot tables to see if error rates spike after specific deployments. This paper outlines how to leverage exported Sentry
A standard export from the Sentry Discover tool or the issues page often includes: Unique identifier for each error instance. Issue: The grouped identifier for related errors.
Information about the impacted customer (e.g., user_id ). 2. Core Applications Issue: The grouped identifier for related errors
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.