GoogleCloudPlatform/PerfKitBenchmarker
May 2025 – Mar 2026
2 Months active
Languages Used
Python
Technical Skills
Cloud ComputingLinux System AdministrationPerformance BenchmarkingSystem MonitoringAWSAzure
Steve Deitz
PROFILE
Steve Deitz
Over a two-month period, contributed to GoogleCloudPlatform/PerfKitBenchmarker by developing features focused on cloud benchmarking and system observability. Delivered Linux VM memory size monitoring using the lsmem command, integrating a new flag and reporting mechanism to surface memory metrics as performance samples with metadata, which improved benchmarking fidelity and capacity planning for Linux workloads. Additionally, implemented cross-cloud VM support for SQL Server 2025 Enterprise on Windows Server 2025, introducing dedicated AWS and Azure VM classes to enable cloud-agnostic benchmarking workflows. The work leveraged Python, cloud computing, and Linux system administration skills to enhance deployment flexibility and monitoring capabilities.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
142
Activity Months2
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5041 peopleSame Organization
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Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for GoogleCloudPlatform/PerfKitBenchmarker: Delivered cross-cloud VM support for SQL Server 2025 Enterprise on Windows Server 2025 (AWS and Azure). Introduced dedicated AWS and Azure VM classes to improve cloud compatibility and deployment options for SQL Server 2025 Enterprise benchmarks. This work enables customers to benchmark SQL Server workloads on both AWS and Azure, broadening market applicability and accelerating cloud-readiness assessments.
1 Commits • 1 Features
Mar 1, 2026March 2026 performance summary for GoogleCloudPlatform/PerfKitBenchmarker: Delivered cross-cloud VM support for SQL Server 2025 Enterprise on Windows Server 2025 (AWS and Azure). Introduced dedicated AWS and Azure VM classes to improve cloud compatibility and deployment options for SQL Server 2025 Enterprise benchmarks. This work enables customers to benchmark SQL Server workloads on both AWS and Azure, broadening market applicability and accelerating cloud-readiness assessments.
March 2026
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.
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.
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AWSAzureCloud ComputingLinux System AdministrationPerformance BenchmarkingPythonSystem Monitoringcloud computingvirtualization
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