Shopify/opentelemetry-ebpf-profiler
Nov 2024 – Nov 2024
1 Month active
Languages Used
Go
Technical Skills
Go DevelopmentObservabilityOpenTelemetryPerformance ProfilingeBPF
Bhavna Jindal
PROFILE
Bhavna Jindal
Worked on the Shopify/opentelemetry-ebpf-profiler repository to implement Process ID (PID) attribution for OTLP reporter samples, enhancing the ability to associate performance data with the originating process. This feature stores the PID alongside existing attributes such as container ID, thread name, and service name, providing richer context for observability and debugging. The approach involved modifying the Go-based OTLP reporting pipeline to include PID data in each sample, ensuring compatibility throughout the end-to-end pipeline. Leveraged skills in Go development, OpenTelemetry, and eBPF to improve performance profiling workflows, enabling more granular analysis and streamlined troubleshooting for distributed systems and containerized environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
112
Activity Months1
Work History
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Implemented Process ID (PID) attribution for OTLP reporter samples in Shopify/opentelemetry-ebpf-profiler, enabling linking performance data to the originating process. PID is stored alongside container ID, thread name, and service name to improve observability, debugging, and analysis. This change corresponds to commit 8ea42ea719dfc765b93f7aa38e79e2a8ef1a9870 (Add PID as an attribute in each sample (#212)).
1 Commits • 1 Features
Nov 1, 2024November 2024: Implemented Process ID (PID) attribution for OTLP reporter samples in Shopify/opentelemetry-ebpf-profiler, enabling linking performance data to the originating process. PID is stored alongside container ID, thread name, and service name to improve observability, debugging, and analysis. This change corresponds to commit 8ea42ea719dfc765b93f7aa38e79e2a8ef1a9870 (Add PID as an attribute in each sample (#212)).
November 2024
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
Go DevelopmentObservabilityOpenTelemetryPerformance ProfilingeBPF
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