opensearch-project/data-prepper
Feb 2026 – Feb 2026
1 Month active
Languages Used
Java
Technical Skills
JavaOpenTelemetrybackend developmentunit testing
Vamsi Manohar
PROFILE
Vamsi Manohar
Developed and integrated automatic OpenTelemetry trace attribute derivation for the opensearch-project/data-prepper repository, focusing on enhancing error detection and fault identification within backend data pipelines. Leveraged Java and OpenTelemetry to implement a utility that derives server-side attributes from trace data, enabling detection of errors, 5xx faults, and throttling events based on span and HTTP status codes. Introduced a configurable switch for safe feature rollout and ensured robust coverage through comprehensive unit testing. This work improved observability and reliability, supporting faster root-cause analysis and more accurate anomaly detection, ultimately strengthening data quality and reducing mean time to resolution for operational issues.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
942
Activity Months1
Your Network
59 peopleWork History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for opensearch-project/data-prepper: Delivered automatic OpenTelemetry trace attribute derivation to improve error detection and fault/throttle identification in the OTelTraceRawProcessor. Implemented OTelSpanDerivationUtil and integrated into the processor with a configurable enable/disable switch. Features include automatic detection of errors from span status and HTTP status codes, 5xx fault detection, 429 throttle detection, and generic name flagging, with environment/operation attribute handling. Added comprehensive unit tests and test resources, and updated config/docs. Impact: enhanced observability, faster root-cause analysis, and more reliable data processing pipelines; Business value: reduced MTTR, improved data quality, and stronger anomaly detection. Technologies: Java, OpenTelemetry, OTelTraceRawProcessor, unit tests, CI resources.
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for opensearch-project/data-prepper: Delivered automatic OpenTelemetry trace attribute derivation to improve error detection and fault/throttle identification in the OTelTraceRawProcessor. Implemented OTelSpanDerivationUtil and integrated into the processor with a configurable enable/disable switch. Features include automatic detection of errors from span status and HTTP status codes, 5xx fault detection, 429 throttle detection, and generic name flagging, with environment/operation attribute handling. Added comprehensive unit tests and test resources, and updated config/docs. Impact: enhanced observability, faster root-cause analysis, and more reliable data processing pipelines; Business value: reduced MTTR, improved data quality, and stronger anomaly detection. Technologies: Java, OpenTelemetry, OTelTraceRawProcessor, unit tests, CI resources.
February 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
JavaOpenTelemetrybackend developmentunit testing
Repositories Contributed To
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