
Greg Ignat worked on the google/perfetto repository, delivering a range of features to enhance Android performance analysis, memory diagnostics, and UI visualization. Over six months, Greg built tools for more accurate CPU utilization reporting, enriched ANR analytics, and improved memory tracking, using technologies such as C++, SQL, and TypeScript. He refactored data models, optimized trace processing, and introduced plugins for lock contention and OOM score visualization. His work included robust UI integrations and performance optimizations, addressing both frontend and backend challenges. The depth of his contributions improved traceability, debugging workflows, and data reliability for developers and product teams using Perfetto.
March 2026 performance summary for google/perfetto. Focused on strengthening memory tracing, UI reliability, and runtime diagnostics, with data-quality fixes that improve stability and user experience across tracing workflows.
March 2026 performance summary for google/perfetto. Focused on strengthening memory tracing, UI reliability, and runtime diagnostics, with data-quality fixes that improve stability and user experience across tracing workflows.
February 2026 Perfetto monthly summary focused on UI/visualization enhancements, memory analysis tooling, and stability improvements across the repository google/perfetto. Delivered key features to improve observability, triage speed, and memory diagnostics, while tightening correctness in memory analysis and plugin maintenance.
February 2026 Perfetto monthly summary focused on UI/visualization enhancements, memory analysis tooling, and stability improvements across the repository google/perfetto. Delivered key features to improve observability, triage speed, and memory diagnostics, while tightening correctness in memory analysis and plugin maintenance.
January 2026: Delivered major feature enhancements and performance optimizations across google/perfetto, focusing on improving debugging/navigation workflows and data throughput. Key features include Android Startup Analysis enhancements with URL deep linking and time-bucketed startup event summaries, ANR visualization with deep linking and automatic navigation to the last ANR's main thread, and Android Input Events data modeling improvements. Performance and robustness were strengthened through refactored track handling and robust lookup, plus removal of costly materialized hints to speed imports. These changes enable faster issue diagnosis, better trace correlation, and more scalable visualization for large traces.
January 2026: Delivered major feature enhancements and performance optimizations across google/perfetto, focusing on improving debugging/navigation workflows and data throughput. Key features include Android Startup Analysis enhancements with URL deep linking and time-bucketed startup event summaries, ANR visualization with deep linking and automatic navigation to the last ANR's main thread, and Android Input Events data modeling improvements. Performance and robustness were strengthened through refactored track handling and robust lookup, plus removal of costly materialized hints to speed imports. These changes enable faster issue diagnosis, better trace correlation, and more scalable visualization for large traces.
December 2025 monthly summary for google/perfetto: Focused delivery on Android ANR reporting enhancements to improve traceability and debugging of ANR events in Android apps. The work added intent and component context to ANR records, updated the schema, and introduced parsing functions to extract these fields based on ANR type. Includes targeted tests and validation, with strong business value in faster issue resolution and better observability.
December 2025 monthly summary for google/perfetto: Focused delivery on Android ANR reporting enhancements to improve traceability and debugging of ANR events in Android apps. The work added intent and component context to ANR records, updated the schema, and introduced parsing functions to extract these fields based on ANR type. Includes targeted tests and validation, with strong business value in faster issue resolution and better observability.
October 2025: Delivered two customer-facing enhancements in Perfetto that improve track management and analysis tooling. Key features delivered include: Perfetto Java SDK: User-provided IDs for named tracks (replacing internal ID generator; updated constructors/builders to accept user IDs); Stdlib: Thread creation spam analysis enhancements with function renames, corrected parameter names and duration filtering, standardized thread name partitioning, output column changed from pid to upid, and a new per-process analysis function with updated tests. No major bugs fixed this month. Impact: increased flexibility for instrumentation, more accurate per-process analysis, clearer APIs and improved testing coverage. Commit references: 3f60505581e6a0cb81614b15eb049bea680996d2; 8ccd2e2b296b06f2c7b29ddf3bdeaa4ed84012e7.
October 2025: Delivered two customer-facing enhancements in Perfetto that improve track management and analysis tooling. Key features delivered include: Perfetto Java SDK: User-provided IDs for named tracks (replacing internal ID generator; updated constructors/builders to accept user IDs); Stdlib: Thread creation spam analysis enhancements with function renames, corrected parameter names and duration filtering, standardized thread name partitioning, output column changed from pid to upid, and a new per-process analysis function with updated tests. No major bugs fixed this month. Impact: increased flexibility for instrumentation, more accurate per-process analysis, clearer APIs and improved testing coverage. Commit references: 3f60505581e6a0cb81614b15eb049bea680996d2; 8ccd2e2b296b06f2c7b29ddf3bdeaa4ed84012e7.
September 2025 performance and telemetry highlights for google/perfetto. Key features delivered: - CPU utilization metrics enhancements: suspend-aware CPU usage reporting and aggregation by UPID/UTID for precise attribution, enabling more accurate performance insights. Commits: 9d5ad2ed3b8003796a0cbf040372d8ccd4e01733; df3de8c4ff11d0a93ed7bd9051d432450edb7e7c. - ANR analytics enhancements: added ANR type, integrated timer-event data, default durations, and migrated storage to a perfetto table for faster, more accurate reporting. Commits: 21676c43180e838e628b9ba65bf25227bdecc70f; 881aff6bc7fa816e270ebb799bcb6ffa1918fa17; a4fd66bbbf8f91f3d5d6cbc3bcd39947d45d0dea; 34d969360658ee7c0505e4e34d5687f0ea55aaa0. - Perfetto SDK integration: added Track Event data source option on the Record page with a Track Events probe and builder updates for category selection. Commit: 7f677304e88af8374dda0f3797d1e9516ebb0292. - UNHEX support in Trace Processor: introduced UNHEX function to convert hex strings to signed 64-bit integers, with input handling, error checks, and dedicated tests. Commit: 82bed5d6ecc4d3f05a98cfb476e3953845e0e545. Major bug fixes: - Java Heap Graph deobfuscation fix: UI bug fixed to display deobfuscated names in heap graph details panel, improving readability for memory analysis. Commit: 9ef07ac117497e661702246f6d3fd5580d0a3e8e. Overall impact: - Improved accuracy of performance attribution, faster ANR triage, broader data source support, and enhanced trace processing. These changes reduce investigation time and improve reliability of performance insights, delivering tangible business value to developers and product teams. Technologies and skills demonstrated: - C++/stdlib instrumentation and data attribution with UPID/UTID - Perfetto data model enhancements and table migrations - UI integration for SDK data sources and category management - Trace Processor extension with new functions and test coverage - End-to-end changes across data collection, processing, and presentation layers.
September 2025 performance and telemetry highlights for google/perfetto. Key features delivered: - CPU utilization metrics enhancements: suspend-aware CPU usage reporting and aggregation by UPID/UTID for precise attribution, enabling more accurate performance insights. Commits: 9d5ad2ed3b8003796a0cbf040372d8ccd4e01733; df3de8c4ff11d0a93ed7bd9051d432450edb7e7c. - ANR analytics enhancements: added ANR type, integrated timer-event data, default durations, and migrated storage to a perfetto table for faster, more accurate reporting. Commits: 21676c43180e838e628b9ba65bf25227bdecc70f; 881aff6bc7fa816e270ebb799bcb6ffa1918fa17; a4fd66bbbf8f91f3d5d6cbc3bcd39947d45d0dea; 34d969360658ee7c0505e4e34d5687f0ea55aaa0. - Perfetto SDK integration: added Track Event data source option on the Record page with a Track Events probe and builder updates for category selection. Commit: 7f677304e88af8374dda0f3797d1e9516ebb0292. - UNHEX support in Trace Processor: introduced UNHEX function to convert hex strings to signed 64-bit integers, with input handling, error checks, and dedicated tests. Commit: 82bed5d6ecc4d3f05a98cfb476e3953845e0e545. Major bug fixes: - Java Heap Graph deobfuscation fix: UI bug fixed to display deobfuscated names in heap graph details panel, improving readability for memory analysis. Commit: 9ef07ac117497e661702246f6d3fd5580d0a3e8e. Overall impact: - Improved accuracy of performance attribution, faster ANR triage, broader data source support, and enhanced trace processing. These changes reduce investigation time and improve reliability of performance insights, delivering tangible business value to developers and product teams. Technologies and skills demonstrated: - C++/stdlib instrumentation and data attribution with UPID/UTID - Perfetto data model enhancements and table migrations - UI integration for SDK data sources and category management - Trace Processor extension with new functions and test coverage - End-to-end changes across data collection, processing, and presentation layers.

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