
During January 2026, Vesa Laakso developed a Time Series Smoothing Transformer for the grafana/grafana repository, focusing on enhancing data visualization by reducing noise in time series data while preserving underlying trends and time ranges. Leveraging JavaScript and TypeScript, Vesa implemented the ASAP algorithm for data point selection and introduced a user interface to display effective resolution, including tooltips and indicators when data limits affected resolution. The work included comprehensive testing for core functionality and edge cases, performance optimizations through memoization and modularization, and careful maintenance such as dependency updates and test adjustments, reflecting a thorough and thoughtful engineering approach.
Concise monthly summary for Grafana engineering (2026-01): Delivered a Time Series Smoothing Transformer with ASAP-based data point selection and an accompanying Effective Resolution UI to improve signal clarity in noisy time series data while preserving the overall trend and time range. Achieved a solid balance of data fidelity, UX improvements, and developer ergonomics through tests and performance work.
Concise monthly summary for Grafana engineering (2026-01): Delivered a Time Series Smoothing Transformer with ASAP-based data point selection and an accompanying Effective Resolution UI to improve signal clarity in noisy time series data while preserving the overall trend and time range. Achieved a solid balance of data fidelity, UX improvements, and developer ergonomics through tests and performance work.

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