yugabyte/yugabyte-db
Sep 2025 – Dec 2025
3 Months active
Languages Used
C++JavaSQLC
Technical Skills
C++Database InternalsJavaPerformance MonitoringSQLSystem Development
shobhitomkumar
PROFILE
Shobhitomkumar
Over a three-month period, contributed to yugabyte/yugabyte-db by developing features that enhanced observability, diagnostics, and performance monitoring for YSQL. Implemented user-level query attribution in Active Session History, requiring schema migrations and new internal data structures using C++ and SQL. Delivered granular transaction monitoring and improved process visibility by extending the rpcz endpoint with additional metrics, leveraging C and backend development skills. Addressed regressions by simplifying the rpcz data model, restoring reliability to metrics dashboards. Collaborated closely with peers through code reviews and testing, ensuring robust, maintainable changes that improved troubleshooting efficiency and supported capacity planning for database operators.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
3
Lines of code
390
Activity Months3
Your Network
287 peopleSame Organization
@yugabyte.com86
Shared Repositories
201
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Work History
December 2025
1 Commits
Dec 1, 2025December 2025: Focused on stabilizing RPC metrics for YugabyteDB by reverting previously added fields and simplifying the rpcz data model. The change reduces complexity, fixes regressions introduced by the prior update, and improves reliability of metrics collection and dashboards.
1 Commits
Dec 1, 2025December 2025: Focused on stabilizing RPC metrics for YugabyteDB by reverting previously added fields and simplifying the rpcz data model. The change reduces complexity, fixes regressions introduced by the prior update, and improves reliability of metrics collection and dashboards.
December 2025
October 2025
2 Commits • 2 Features
Oct 1, 2025In 2025-10, two high-impact features were delivered for yugabyte-db, with corresponding improvements to observability and diagnostics that drive faster incident response and informed capacity planning. The work focused on YSQL monitoring granularity and process visibility/memory metrics, delivering tangible business value for operators and developers while strengthening the platform’s diagnostic capabilities.
October 2025
2 Commits • 2 Features
Oct 1, 2025In 2025-10, two high-impact features were delivered for yugabyte-db, with corresponding improvements to observability and diagnostics that drive faster incident response and informed capacity planning. The work focused on YSQL monitoring granularity and process visibility/memory metrics, delivering tangible business value for operators and developers while strengthening the platform’s diagnostic capabilities.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on observability and query attribution improvements in yugabyte/yugabyte-db. Implemented Active Session History User ID Tracking by adding ysql_userid to ASH, including schema updates, ASH sampling changes, and new internal data structures to store user IDs for better troubleshooting and performance analysis. This enables per-user query attribution for faster root-cause analysis and capacity planning. No major bugs fixed this month in this repo. Overall impact: improved troubleshooting efficiency, better analytics, and groundwork for user-based performance insights. Technologies/skills demonstrated: YSQL/ASH instrumentation, schema migrations, internal data structure design, commit hygiene, cross-team collaboration.
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09. Focused on observability and query attribution improvements in yugabyte/yugabyte-db. Implemented Active Session History User ID Tracking by adding ysql_userid to ASH, including schema updates, ASH sampling changes, and new internal data structures to store user IDs for better troubleshooting and performance analysis. This enables per-user query attribution for faster root-cause analysis and capacity planning. No major bugs fixed this month in this repo. Overall impact: improved troubleshooting efficiency, better analytics, and groundwork for user-based performance insights. Technologies/skills demonstrated: YSQL/ASH instrumentation, schema migrations, internal data structure design, commit hygiene, cross-team collaboration.
September 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability85.0%
Architecture90.0%
Performance85.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
CC++JavaSQL
Technical Skills
C programmingC++C++ programmingDatabase InternalsJavaPerformance MonitoringSQLSystem Developmentbackend developmentdatabase developmentsystem designtesting
Repositories Contributed To
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