
Nadav Leshem contributed to the grafana/azure-data-explorer-datasource and grafana/sentry-datasource repositories, focusing on reliability and user experience in data visualization tools. He enhanced query timeout formatting and improved the KQL editor’s ability to capture changes, using Go and React to refactor frontend and backend components. In March, he added a loading indicator to the query editor, aligning with Grafana UI patterns to improve user feedback during long-running queries. By June, Nadav delivered Sentry Span Data Support, implementing new API endpoints and frontend updates in TypeScript to enable span-level querying, validated through integration tests and dashboard previews for robust observability.

June 2025 monthly summary for grafana/sentry-datasource: Delivered Sentry Span Data Support enabling span-level querying and statistics. Backend added data fetching logic and handlers for spans; frontend query editor updated to consume new data types. No major bugs were reported this month; changes validated with integration tests and dashboard previews. The work strengthens observability by providing granular span insights, improving MTTR and debugging efficiency. Technologies demonstrated include Go backend development, TypeScript/React frontend work, API design, data modeling, and end-to-end validation.
June 2025 monthly summary for grafana/sentry-datasource: Delivered Sentry Span Data Support enabling span-level querying and statistics. Backend added data fetching logic and handlers for spans; frontend query editor updated to consume new data types. No major bugs were reported this month; changes validated with integration tests and dashboard previews. The work strengthens observability by providing granular span insights, improving MTTR and debugging efficiency. Technologies demonstrated include Go backend development, TypeScript/React frontend work, API design, data modeling, and end-to-end validation.
Monthly summary for 2025-03: Focused on improving user feedback during data fetch in the Grafana Azure Data Explorer data source. Implemented a visual loading indicator and spinner in the query editor, enhancing responsiveness and reducing user confusion during long-running queries.
Monthly summary for 2025-03: Focused on improving user feedback during data fetch in the Grafana Azure Data Explorer data source. Implemented a visual loading indicator and spinner in the query editor, enhancing responsiveness and reducing user confusion during long-running queries.
February 2025 performance summary for grafana/azure-data-explorer-datasource: delivered reliability and UX improvements for query building and execution. Key features include (1) query timeout formatting improvements with HH:MM:SS display for durations > 1 minute, including edge cases like exactly one hour and sub-minute durations, backed by tests; and (2) KQL editor reliability enhancements for saving and running queries, ensuring changes are captured when the editor loses focus or via designated keyboard shortcuts. These updates improve user confidence, reduce formatting/edits-related errors, and are supported by expanded test coverage. Technologies demonstrated include refactoring, test-driven development, and KQL editor integration within the Grafana frontend, contributing to faster insights and fewer support incidents.
February 2025 performance summary for grafana/azure-data-explorer-datasource: delivered reliability and UX improvements for query building and execution. Key features include (1) query timeout formatting improvements with HH:MM:SS display for durations > 1 minute, including edge cases like exactly one hour and sub-minute durations, backed by tests; and (2) KQL editor reliability enhancements for saving and running queries, ensuring changes are captured when the editor loses focus or via designated keyboard shortcuts. These updates improve user confidence, reduce formatting/edits-related errors, and are supported by expanded test coverage. Technologies demonstrated include refactoring, test-driven development, and KQL editor integration within the Grafana frontend, contributing to faster insights and fewer support incidents.
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