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jludgin4

PROFILE

Jludgin4

Jake Ludgin enhanced the percona/percona-server-mongodb repository by building features that improved observability, test selection, and debugging workflows. He implemented OpenTelemetry-based tracing in Python to monitor stack symbolization within the resmoke test runner, providing detailed insights into symbolization frequency and performance. Jake also integrated the Test Selection Service, enabling conditional Evergreen API calls and surfacing data on excluded tests to streamline test execution. In addition, he developed a configurable symbolization workflow for Evergreen, allowing users to save unsymbolized stack traces and follow clear manual instructions when automatic symbolization is skipped, ultimately improving CI/CD reliability and debugging efficiency.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

3Total
Bugs
0
Commits
3
Features
3
Lines of code
489
Activity Months2

Work History

July 2025

1 Commits • 1 Features

Jul 1, 2025

July 2025 monthly summary for percona/percona-server-mongodb focused on improving debugging workflows and symbolization in Evergreen. Delivered a configurable symbolization feature that produces and saves unsymbolized stack traces along with clear instructions to symbolize in Evergreen, enabling better triage when automatic symbolization is skipped. The work reduces investigation time and improves reliability of error signals in CI pipelines.

June 2025

2 Commits • 2 Features

Jun 1, 2025

June 2025 (2025-06): Focused on enhancing observability and test selection capabilities in percona/percona-server-mongodb. Implemented OpenTelemetry-based tracing for the stack symbolizer in resmoke to monitor symbolization frequency and performance, and integrated the Test Selection Service into the resmoke test runner to surface data on excluded tests and streamline selection with conditional Evergreen API calls. These changes lay groundwork for improved test reliability, faster feedback cycles, and more efficient test execution.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance66.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

API IntegrationBackend DevelopmentBuild SystemsCI/CDDebuggingObservabilityTestingTesting Frameworks

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

percona/percona-server-mongodb

Jun 2025 Jul 2025
2 Months active

Languages Used

Python

Technical Skills

API IntegrationBackend DevelopmentDebuggingObservabilityTestingTesting Frameworks

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