canva/opentelemetry-collector-contrib
Aug 2025 – Aug 2025
1 Month active
Languages Used
GoYAML
Technical Skills
Backend DevelopmentConfiguration ManagementError HandlingKafkaOpenTelemetry
Bohgyu Kim
PROFILE
Bohgyu Kim
Worked on the canva/opentelemetry-collector-contrib repository to implement a new configuration option, on_permanent_error, for the Kafka receiver component. This feature enables more granular control over how permanent errors are marked during message ingestion, enhancing error classification and remediation. The implementation maintained backward compatibility by inheriting existing on_error behavior by default, ensuring seamless upgrades for current deployments. By treating unmarshalling errors as permanent, the update improved the robustness and reliability of Kafka-based data pipelines. The work involved backend development and configuration management using Go and YAML, with a focus on improving error handling and observability in production environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
234
Activity Months1
Your Network
1413 peopleWork History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Implemented a new Kafka receiver configuration option on_permanent_error in canva/opentelemetry-collector-contrib, enabling granular control over permanent-error marking. The option inherits on_error by default to preserve backward compatibility and treats unmarshalling errors as permanent to improve robustness and error handling. This change enhances reliability of Kafka-based ingestion, reduces operator toil through clearer error categorization, and improves overall observability in production pipelines.
1 Commits • 1 Features
Aug 1, 2025August 2025: Implemented a new Kafka receiver configuration option on_permanent_error in canva/opentelemetry-collector-contrib, enabling granular control over permanent-error marking. The option inherits on_error by default to preserve backward compatibility and treats unmarshalling errors as permanent to improve robustness and error handling. This change enhances reliability of Kafka-based ingestion, reduces operator toil through clearer error categorization, and improves overall observability in production pipelines.
August 2025
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GoYAML
Technical Skills
Backend DevelopmentConfiguration ManagementError HandlingKafkaOpenTelemetry
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