
Zylphrex worked on backend and DevOps improvements across getsentry/vroom and getsentry/self-hosted, focusing on profiling data management and metric accuracy. In getsentry/vroom, Zylphrex reverted a previous change to flamegraph average computation, restoring correct metric behavior and ensuring data integrity in production dashboards. For getsentry/self-hosted, Zylphrex migrated profiling data ingestion from local storage to SeaweedFS, updating the pipeline to use vroomrs and configuring shared access for Sentry and Vroom. These changes, implemented using Go, bash, and Docker, improved the scalability and efficiency of profiling data workflows, demonstrating careful change management and a focus on robust, maintainable infrastructure.
November 2025: Delivered Profiling Data Ingestion Upgrade to SeaweedFS for getsentry/self-hosted, migrating profiling data ingestion from local storage to SeaweedFS and configuring Sentry and Vroom to access shared profile data. Implemented ingestion path changes to use vroomrs and ensured the SeaweedFS filestore is properly configured, improving architecture, scalability, and efficiency of profiling data management across teams.
November 2025: Delivered Profiling Data Ingestion Upgrade to SeaweedFS for getsentry/self-hosted, migrating profiling data ingestion from local storage to SeaweedFS and configuring Sentry and Vroom to access shared profile data. Implemented ingestion path changes to use vroomrs and ensured the SeaweedFS filestore is properly configured, improving architecture, scalability, and efficiency of profiling data management across teams.
September 2025 monthly recap for getsentry/vroom focused on stabilizing flamegraph metrics and ensuring data integrity in production dashboards. The primary work involved reverting a previous change related to flamegraph average computation to restore prior behavior, addressing inaccuracies introduced by the earlier fix and preventing misleading metrics.
September 2025 monthly recap for getsentry/vroom focused on stabilizing flamegraph metrics and ensuring data integrity in production dashboards. The primary work involved reverting a previous change related to flamegraph average computation to restore prior behavior, addressing inaccuracies introduced by the earlier fix and preventing misleading metrics.

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