Shopify/opentelemetry-ebpf-profiler
Nov 2024 – Dec 2024
2 Months active
Languages Used
Go
Technical Skills
Error HandlingGoTestingBackend DevelopmentObservabilityPerformance Profiling
Joel Höner
PROFILE
Joel Höner
Worked on the Shopify/opentelemetry-ebpf-profiler, focusing on backend development and reliability improvements using Go. Delivered an Attribute Table Management feature that centralized attribute deduplication and indexing, introducing the AttrTableManager and SampleAttrProducer interface to enable efficient extension of sample data with custom attributes. Enhanced the maintainability and scalability of the telemetry pipeline while keeping per-sample overhead low. Addressed a critical bug by fixing an out-of-bounds read in the ReadAtBuf tail handling, adding targeted tests to prevent regressions and improve error handling. Prioritized robust testing and observability, resulting in safer data collection and more trustworthy profiling in production environments.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
268
Activity Months2
Your Network
478 peopleWork History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered the Attribute Table Management feature for the Shopify/opentelemetry-ebpf-profiler, introducing AttrTableManager to deduplicate and index attributes in samples and enabling the new SampleAttrProducer interface for extending samples with custom attributes. The refactor centralizes attribute handling, improving performance, maintainability, and future extensibility of the sample data pipeline. The work delivers a clearer, more scalable path for richer telemetry while maintaining low per-sample overhead.
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered the Attribute Table Management feature for the Shopify/opentelemetry-ebpf-profiler, introducing AttrTableManager to deduplicate and index attributes in samples and enabling the new SampleAttrProducer interface for extending samples with custom attributes. The refactor centralizes attribute handling, improving performance, maintainability, and future extensibility of the sample data pipeline. The work delivers a clearer, more scalable path for richer telemetry while maintaining low per-sample overhead.
December 2024
November 2024
1 Commits
Nov 1, 2024November 2024 focused on robustness and test coverage for the opentelemetry-ebpf-profiler. The primary work was a bug fix that addresses an out-of-bounds read in the ReadAtBuf tail handling, coupled with added tests to guard against regressions in tail-chunk reads. There were no new features delivered this month; the emphasis was on reliability, correctness, and maintainability of the profiling component. The changes improve stability of data collection and reduce risk of runtime errors in production pipelines, contributing to safer instrumentation and more trustworthy telemetry data.
November 2024
1 Commits
Nov 1, 2024November 2024 focused on robustness and test coverage for the opentelemetry-ebpf-profiler. The primary work was a bug fix that addresses an out-of-bounds read in the ReadAtBuf tail handling, coupled with added tests to guard against regressions in tail-chunk reads. There were no new features delivered this month; the emphasis was on reliability, correctness, and maintainability of the profiling component. The changes improve stability of data collection and reduce risk of runtime errors in production pipelines, contributing to safer instrumentation and more trustworthy telemetry data.
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Quality Metrics
Correctness90.0%
Maintainability85.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
Backend DevelopmentError HandlingGoObservabilityPerformance ProfilingTesting
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