
Naman Verma enhanced time-series analytics in the SigNoz/signoz repository by implementing support for simultaneous delta and cumulative temporality in metric queries. Using Go and Python, Naman extended the backend to allow FetchTemporality and FetchTemporalityMulti functions to accept time range parameters, enabling interval-based data retrieval and aggregation across temporalities. This work improved the flexibility and accuracy of analytics for dashboards and reports by supporting cross-temporality queries. The feature addressed the need for more granular and comprehensive metric analysis, leveraging skills in API development, backend engineering, and database management. The contribution demonstrated depth in handling complex time-series data requirements.
February 2026 focused on enhancing time-series analytics by enabling delta and cumulative temporality support in metric queries for SigNoz/signoz. This work extends the temporality layer to support time-range based retrieval and cross-temporality analytics, improving analytics flexibility and accuracy.
February 2026 focused on enhancing time-series analytics by enabling delta and cumulative temporality support in metric queries for SigNoz/signoz. This work extends the temporality layer to support time-range based retrieval and cross-temporality analytics, improving analytics flexibility and accuracy.

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