GoogleCloudPlatform/PerfKitBenchmarker
May 2025 – May 2025
1 Month active
Languages Used
Python
Technical Skills
Cloud ComputingLinux System AdministrationPerformance BenchmarkingSystem Monitoring
Steve Deitz
PROFILE
Steve Deitz
Developed a Linux VM memory size monitoring feature for the GoogleCloudPlatform/PerfKitBenchmarker repository, enabling automated collection and reporting of total memory using the lsmem command. The implementation introduced a new --collect_lsmem flag, integrating memory size as a performance sample with associated metadata for enhanced system monitoring and benchmarking fidelity. Leveraging Python and Linux system administration skills, the solution collects memory data per VM and surfaces it in benchmark reports, supporting cross-provider comparisons and improved capacity planning. This work focused on cloud computing environments, emphasizing performance benchmarking and observability for Linux workloads, and delivered end-to-end integration within the benchmarking workflow.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
128
Activity Months1
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Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025: Delivered Linux VM Memory Size Monitoring via lsmem in PerfKitBenchmarker. Introduced a --collect_lsmem flag and reported total memory as a performance sample with metadata for performance monitoring. Commit: 33ae8975d39c4b46f40b1a395eac7163d7669a46. This enhancement improves observability, benchmarking fidelity, and enables better capacity planning across Linux VM workloads.
1 Commits • 1 Features
May 1, 2025May 2025: Delivered Linux VM Memory Size Monitoring via lsmem in PerfKitBenchmarker. Introduced a --collect_lsmem flag and reported total memory as a performance sample with metadata for performance monitoring. Commit: 33ae8975d39c4b46f40b1a395eac7163d7669a46. This enhancement improves observability, benchmarking fidelity, and enables better capacity planning across Linux VM workloads.
May 2025
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Cloud ComputingLinux System AdministrationPerformance BenchmarkingSystem Monitoring
Repositories Contributed To
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