
Martin Di Sibio contributed to the grafana/tempo repository by engineering robust backend features and reliability improvements for distributed tracing and metrics systems. He developed and optimized TraceQL query processing, enhanced Parquet data encoding, and improved ingestion, retention, and observability pipelines. Using Go and Docker, Martin focused on memory management, concurrency, and performance tuning to deliver scalable solutions for high-throughput environments. His work included refining data structures, implementing efficient algorithms, and strengthening error handling and test coverage. These efforts resulted in faster query execution, more accurate metrics, and greater system stability, demonstrating depth in backend development and distributed systems engineering.
February 2026 monthly summary for grafana/tempo focusing on delivering reliability and configuration improvements for large-scale tracing workloads. Highlights include a bug fix to align TraceQL Metrics time intervals with vParquet5 timestamp columns and a feature update to ensure Live Store respects both local and global block configurations. These changes improve query accuracy, data handling efficiency, and configuration governance, contributing to overall system reliability and performance.
February 2026 monthly summary for grafana/tempo focusing on delivering reliability and configuration improvements for large-scale tracing workloads. Highlights include a bug fix to align TraceQL Metrics time intervals with vParquet5 timestamp columns and a feature update to ensure Live Store respects both local and global block configurations. These changes improve query accuracy, data handling efficiency, and configuration governance, contributing to overall system reliability and performance.
Monthly tempo developer summary for 2026-01 focusing on delivered features, major fixes, impact, and technical competencies demonstrated for Grafana Tempo.
Monthly tempo developer summary for 2026-01 focusing on delivered features, major fixes, impact, and technical competencies demonstrated for Grafana Tempo.
Executive monthly summary for 2025-12: Grafana Tempo delivered targeted business value through feature delivery, reliability improvements, and enhanced data processing. Key outcomes include more correct and faster metrics queries, a more robust Parquet data pipeline, and improved maintainability and observability across the project. Deliverables spanned metrics query validation/autocomplete, Parquet encoding upgrades, code quality, CLI enhancements for integer columns, and span metrics logging improvements.
Executive monthly summary for 2025-12: Grafana Tempo delivered targeted business value through feature delivery, reliability improvements, and enhanced data processing. Key outcomes include more correct and faster metrics queries, a more robust Parquet data pipeline, and improved maintainability and observability across the project. Deliverables spanned metrics query validation/autocomplete, Parquet encoding upgrades, code quality, CLI enhancements for integer columns, and span metrics logging improvements.
2025-11 grafana/tempo monthly summary: Focused on performance and safety improvements with two core deliveries. 1) TraceQL StringArray safety and compare() optimization bug fix addresses potential hash collisions and reduces unnecessary computations. 2) Log2Bucketize performance optimization via bit manipulation replaces a logarithm with faster bit ops, accompanied by unit tests and benchmarks. These changes improve query latency, throughput, and reliability, with changelog updates and documentation.
2025-11 grafana/tempo monthly summary: Focused on performance and safety improvements with two core deliveries. 1) TraceQL StringArray safety and compare() optimization bug fix addresses potential hash collisions and reduces unnecessary computations. 2) Log2Bucketize performance optimization via bit manipulation replaces a logarithm with faster bit ops, accompanied by unit tests and benchmarks. These changes improve query latency, throughput, and reliability, with changelog updates and documentation.
October 2025: Implemented targeted performance optimizations in Grafana Tempo's data processing path to improve throughput and reduce latency. Reworked iteration and result generation logic, including reversing the comparison order in EqualRowNumber and precomputing the makeResult function, supported by a focused commit set. Improved resource handling by closing iterators when not needed and added maintenance-friendly changes (changelog entry and inline cleanup).
October 2025: Implemented targeted performance optimizations in Grafana Tempo's data processing path to improve throughput and reduce latency. Reworked iteration and result generation logic, including reversing the comparison order in EqualRowNumber and precomputing the makeResult function, supported by a focused commit set. Improved resource handling by closing iterators when not needed and added maintenance-friendly changes (changelog entry and inline cleanup).
September 2025 - grafana/tempo: Focused on reliability and maintenance. Delivered a Parquet-Go dependency upgrade with internal improvements (no functional Tempo changes) and a set of TraceQL robustness fixes to improve encoding handling, numeric string comparisons, query_range error paths, and metrics labeling. Impact: increased production stability, fewer runtime panics, and more reliable data querying. Technologies/skills: Go, dependency management, error handling, monitoring of metrics, and careful bug-fix discipline.
September 2025 - grafana/tempo: Focused on reliability and maintenance. Delivered a Parquet-Go dependency upgrade with internal improvements (no functional Tempo changes) and a set of TraceQL robustness fixes to improve encoding handling, numeric string comparisons, query_range error paths, and metrics labeling. Impact: increased production stability, fewer runtime panics, and more reliable data querying. Technologies/skills: Go, dependency management, error handling, monitoring of metrics, and careful bug-fix discipline.
Month 2025-08 — Grafana Tempo: Focused on performance and data-handling improvements for TraceQL and Parquet integration. Delivered memory-efficient TraceQL compare() operations, faster approximate query results via metrics sampling and adaptive/probabilistic samplers, and introduced a Parquet vParquet5 preview encoding with low-resolution timestamp columns and new search capabilities to enhance data handling and query responsiveness.
Month 2025-08 — Grafana Tempo: Focused on performance and data-handling improvements for TraceQL and Parquet integration. Delivered memory-efficient TraceQL compare() operations, faster approximate query results via metrics sampling and adaptive/probabilistic samplers, and introduced a Parquet vParquet5 preview encoding with low-resolution timestamp columns and new search capabilities to enhance data handling and query responsiveness.
June 2025 — Tempo (grafana/tempo) Key features delivered: - TraceQL Performance Optimizations: implemented a series of performance improvements across TraceQL queries, including reducing the size of the TraceQL Attribute struct, realigning data layouts, and enhancing buffer reuse. These changes lower query processing overhead, improve memory management, and speed up common TraceQL queries. Commit highlights include eb45d52a3ff8737c70890c60b6a5af01827cf90a; 7e1505856c24924a612ebdf3c2557fea31459689; b490e335b9f0b76813511ae7f6ae98f57309c4a9; d754866d0cd701b60d208fe42413ae1228618e72. - TraceQL Compare Correctness Enhancement (bug fix): exclude intrinsic attributes such as parent span ID and nested set values from compare() results to prevent incorrect query outcomes and improve trace data analysis accuracy. Commit: e0b0f25d4f32f5a1140031bd984c82ca7334a5aa. Major bugs fixed: - TraceQL Compare Correctness Enhancement: ensured intrinsic attributes are not considered in compare() results, improving accuracy of trace analysis. Commit: e0b0f25d4f32f5a1140031bd984c82ca7334a5aa. Overall impact and accomplishments: - Faster, more reliable TraceQL query processing with lower memory footprint and reduced workload on collectors, enabling higher throughput and faster analysis for Tempo users. Technologies/skills demonstrated: - Go performance optimization, memory management, and data-structure realignment; buffer reuse techniques; code quality improvements supporting maintainable, scalable performance work.
June 2025 — Tempo (grafana/tempo) Key features delivered: - TraceQL Performance Optimizations: implemented a series of performance improvements across TraceQL queries, including reducing the size of the TraceQL Attribute struct, realigning data layouts, and enhancing buffer reuse. These changes lower query processing overhead, improve memory management, and speed up common TraceQL queries. Commit highlights include eb45d52a3ff8737c70890c60b6a5af01827cf90a; 7e1505856c24924a612ebdf3c2557fea31459689; b490e335b9f0b76813511ae7f6ae98f57309c4a9; d754866d0cd701b60d208fe42413ae1228618e72. - TraceQL Compare Correctness Enhancement (bug fix): exclude intrinsic attributes such as parent span ID and nested set values from compare() results to prevent incorrect query outcomes and improve trace data analysis accuracy. Commit: e0b0f25d4f32f5a1140031bd984c82ca7334a5aa. Major bugs fixed: - TraceQL Compare Correctness Enhancement: ensured intrinsic attributes are not considered in compare() results, improving accuracy of trace analysis. Commit: e0b0f25d4f32f5a1140031bd984c82ca7334a5aa. Overall impact and accomplishments: - Faster, more reliable TraceQL query processing with lower memory footprint and reduced workload on collectors, enabling higher throughput and faster analysis for Tempo users. Technologies/skills demonstrated: - Go performance optimization, memory management, and data-structure realignment; buffer reuse techniques; code quality improvements supporting maintainable, scalable performance work.
May 2025: Delivered reliability and correctness improvements for grafana/tempo. Implemented two critical fixes with tests and changelog entries: Span Metrics Generator robustness and Distributor deduplication hash collision fix. These changes reduce downstream errors, improve metrics accuracy, and prevent re-batching collisions, delivering measurable business value and long-term stability.
May 2025: Delivered reliability and correctness improvements for grafana/tempo. Implemented two critical fixes with tests and changelog entries: Span Metrics Generator robustness and Distributor deduplication hash collision fix. These changes reduce downstream errors, improve metrics accuracy, and prevent re-batching collisions, delivering measurable business value and long-term stability.
Concise monthly summary for 2025-04 focusing on business value, technical achievements, and impact across the grafana/tempo repository.
Concise monthly summary for 2025-04 focusing on business value, technical achievements, and impact across the grafana/tempo repository.
March 2025 – grafana/tempo: Key features delivered and reliability improvements focused on search performance, replay integrity, and metric accuracy. Key outcomes: - Search Results Intrinsic Tag Lookup Optimization: Moved intrinsic tag lookup entirely to the query-frontend and prioritized intrinsic tags in search results, simplifying ingester/querier responsibilities. Commit 5d540e119f42f62424eb205ff29930267ab85315 (#4784). - Block ID Reuse Prevention Across Replays: Prevented reuse of block IDs across replays to avoid read errors and potential data corruption; previously flushed blocks are marked as compacted when a new block ID is determined. Commit 0a4f75d881b2a6f8d9272dea151d7980878d4b00 (#4872). - TraceQL Metrics Accuracy with Complex Filters: Fixed incorrect TraceQL metric results when queries include multiple filters on non-dedicated columns and group by the same variable; refined optimization logic and added tests to prevent regressions. Commit e8d5915f1b82559136babdc075bf53ff087e8a30 (#4887). Overall impact and accomplishments: - Improved search latency and relevance by centralizing intrinsic tag lookups and stabilizing query paths. - Enhanced data integrity in replay scenarios, reducing risk of read errors and corruption. - Increased reliability of TraceQL metrics for complex queries, with guardrails against regressions via tests. Technologies/skills demonstrated: - Go-based service architecture, query-frontend integration, and ingestion/querier responsibilities. - Block replay mechanics and compacted-block handling. - Metrics accuracy, test automation, and regression safeguards. Business value: - Faster, more reliable search; safer replay processing; trustworthy telemetry metrics for informed decision making.
March 2025 – grafana/tempo: Key features delivered and reliability improvements focused on search performance, replay integrity, and metric accuracy. Key outcomes: - Search Results Intrinsic Tag Lookup Optimization: Moved intrinsic tag lookup entirely to the query-frontend and prioritized intrinsic tags in search results, simplifying ingester/querier responsibilities. Commit 5d540e119f42f62424eb205ff29930267ab85315 (#4784). - Block ID Reuse Prevention Across Replays: Prevented reuse of block IDs across replays to avoid read errors and potential data corruption; previously flushed blocks are marked as compacted when a new block ID is determined. Commit 0a4f75d881b2a6f8d9272dea151d7980878d4b00 (#4872). - TraceQL Metrics Accuracy with Complex Filters: Fixed incorrect TraceQL metric results when queries include multiple filters on non-dedicated columns and group by the same variable; refined optimization logic and added tests to prevent regressions. Commit e8d5915f1b82559136babdc075bf53ff087e8a30 (#4887). Overall impact and accomplishments: - Improved search latency and relevance by centralizing intrinsic tag lookups and stabilizing query paths. - Enhanced data integrity in replay scenarios, reducing risk of read errors and corruption. - Increased reliability of TraceQL metrics for complex queries, with guardrails against regressions via tests. Technologies/skills demonstrated: - Go-based service architecture, query-frontend integration, and ingestion/querier responsibilities. - Block replay mechanics and compacted-block handling. - Metrics accuracy, test automation, and regression safeguards. Business value: - Faster, more reliable search; safer replay processing; trustworthy telemetry metrics for informed decision making.
February 2025 focused on stabilizing ingestion and boosting performance/robustness across grafana/tempo. Delivered critical bug fixes and architectural refinements to improve reliability, throughput, and scalability for trace processing and metrics/Kafka pipelines. Highlights include fixes for flaky ingester tests, performance-oriented block-builder enhancements, live traces iteration improvements with benchmarking, and concurrency/memory optimizations for metrics generation and Kafka integration. Resulted in more reliable trace ingestion, lower latency, higher throughput under load, and a more robust overall Tempo deployment.
February 2025 focused on stabilizing ingestion and boosting performance/robustness across grafana/tempo. Delivered critical bug fixes and architectural refinements to improve reliability, throughput, and scalability for trace processing and metrics/Kafka pipelines. Highlights include fixes for flaky ingester tests, performance-oriented block-builder enhancements, live traces iteration improvements with benchmarking, and concurrency/memory optimizations for metrics generation and Kafka integration. Resulted in more reliable trace ingestion, lower latency, higher throughput under load, and a more robust overall Tempo deployment.
January 2025 monthly summary for grafana/tempo: Key features delivered, major bugs fixed, and impact across build, performance, and reliability. Highlights include infrastructure upgrade for Tempo builds with Alpine 3.21 and multi-arch docker image targets, block builder performance/concurrency improvements with enhanced observability, and a critical TraceQL post-select bug fix, all backed by validation tests and updated dashboards.
January 2025 monthly summary for grafana/tempo: Key features delivered, major bugs fixed, and impact across build, performance, and reliability. Highlights include infrastructure upgrade for Tempo builds with Alpine 3.21 and multi-arch docker image targets, block builder performance/concurrency improvements with enhanced observability, and a critical TraceQL post-select bug fix, all backed by validation tests and updated dashboards.
December 2024 monthly work summary for grafana/tempo focused on reliability and performance improvements across metrics, TraceQL, gRPC streaming, and blocklist/retention logic. Delivered robust data correctness, preserved authentication context in streaming, performance optimizations with tests/benchmarks, and data retention fixes, aligning with business value priorities.
December 2024 monthly work summary for grafana/tempo focused on reliability and performance improvements across metrics, TraceQL, gRPC streaming, and blocklist/retention logic. Delivered robust data correctness, preserved authentication context in streaming, performance optimizations with tests/benchmarks, and data retention fixes, aligning with business value priorities.
Delivered key enhancements to Tempo's observability metrics and modernized the toolchain in November 2024. TraceQL Metrics Improvements introduced time range accuracy, alignment safeguards, and exemplar handling for NaN values with randomized sampling, improving query reliability for users and dashboards. The Go tooling upgrade to Go 1.23.3 across tooling modules, accompanied by changelog updates and tooling image tag synchronization, reduced build inconsistencies and simplified maintenance. These efforts collectively improve metric correctness, reduce user-facing errors in traces, and strengthen the engineering discipline around release management and tooling consistency.
Delivered key enhancements to Tempo's observability metrics and modernized the toolchain in November 2024. TraceQL Metrics Improvements introduced time range accuracy, alignment safeguards, and exemplar handling for NaN values with randomized sampling, improving query reliability for users and dashboards. The Go tooling upgrade to Go 1.23.3 across tooling modules, accompanied by changelog updates and tooling image tag synchronization, reduced build inconsistencies and simplified maintenance. These efforts collectively improve metric correctness, reduce user-facing errors in traces, and strengthen the engineering discipline around release management and tooling consistency.
Oct 2024 Tempo monthly summary: Delivered features that enhance multi-tenant visibility, cost attribution, and histogram performance, with emphasis on business value and scalability. No major bug fixes recorded this month.
Oct 2024 Tempo monthly summary: Delivered features that enhance multi-tenant visibility, cost attribution, and histogram performance, with emphasis on business value and scalability. No major bug fixes recorded this month.

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