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.
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.
Share stable snapshots of bug data with stakeholders who do not have direct access to the Sentry Dashboard . 3. Advanced Enrichment
The human-readable error description (e.g., NullPointerException ).
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.
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.
Share stable snapshots of bug data with stakeholders who do not have direct access to the Sentry Dashboard . 3. Advanced Enrichment
The human-readable error description (e.g., NullPointerException ).
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sentry_log.csv
