
Vishal Sharda developed and integrated a stolen CPU cycles metric into the sys_stats data source for the google/perfetto repository, enhancing visibility into host-steal time for virtualization workloads. He updated Protocol Buffers definitions and parsing logic in C++ and Python to capture and report the new steal_ns metric, ensuring compatibility with existing data models and reporting pipelines. This addition improved performance analysis by enabling more accurate detection of CPU contention and supporting better capacity planning. Vishal’s targeted, single-commit delivery maintained code quality and observability, demonstrating depth in system programming, tracing, and unit testing within a complex performance monitoring environment.

April 2025: Implemented the stolen CPU cycles metric in the sys_stats data source for google/perfetto, enabling visibility into host-steal time (steal_ns) and enhancing performance analysis for virtualization workloads. Updated proto definitions and parsing to capture and report the new metric, maintaining compatibility with existing data models and report pipelines. This improved observability, accelerated root-cause analysis of CPU contention, and supports more accurate capacity planning.
April 2025: Implemented the stolen CPU cycles metric in the sys_stats data source for google/perfetto, enabling visibility into host-steal time (steal_ns) and enhancing performance analysis for virtualization workloads. Updated proto definitions and parsing to capture and report the new metric, maintaining compatibility with existing data models and report pipelines. This improved observability, accelerated root-cause analysis of CPU contention, and supports more accurate capacity planning.
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