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Zied Aouini

PROFILE

Zied Aouini

Aouini Zied contributed to DataDog’s dd-trace-go and documentation repositories by building features that enhanced error tracking and observability in distributed tracing systems. He implemented service-level error span processing in Go, enabling accurate error attribution across traces and removing outdated workarounds, which improved reliability for backend developers. In dd-trace-go, he delivered experiment scope inheritance for tracing spans, aligning Go’s behavior with the Python SDK and ensuring child spans inherit experimental context via APM baggage. His work included comprehensive unit testing and documentation updates in Markdown, resulting in more consistent cross-language observability and clearer, up-to-date guidance for users across multiple platforms.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

3Total
Bugs
1
Commits
3
Features
2
Lines of code
98
Activity Months3

Work History

April 2026

1 Commits • 1 Features

Apr 1, 2026

Month: 2026-04 Overview: - Focused on delivering a feature to improve observability for experiments in distributed traces within DataDog dd-trace-go, with no reported major defects. Key features delivered: - Implemented Experiment Scope Inheritance for Tracing Spans: Child spans started with StartSpan now read the experiment scope from the APM baggage and set the trace scope to 'experiments'. This aligns Go behavior with the Python SDK and closes a gap where child spans did not automatically inherit experimental scope. Commit c9f53ad2275101c975c8b9aa6112c886aa712d68 documents this change. Major bugs fixed: - No major bugs fixed this month. Changes are supported by unit tests with near-100% coverage; linting and tests updated to support the new behavior. Overall impact and accomplishments: - Improved observability and experiment fidelity across spans, enabling more accurate measurement and analysis of experiments. - Strengthened cross-language consistency (Go vs Python) in experiment scope propagation, reducing surprises for users. - Maintained high code quality through comprehensive unit tests and lint checks. Technologies/skills demonstrated: - Go, APM baggage propagation, StartSpan behavior, unit testing, linting, and code-quality practices; alignment with cross-language observability patterns.

April 2025

1 Commits

Apr 1, 2025

April 2025: Documentation-focused work for DataDog/documentation, primarily a bug fix to clarify RUM session sampling guidance across platform setup guides. Delivered clearer, accurate docs reflecting current functionality and improved cross-platform consistency.

January 2025

1 Commits • 1 Features

Jan 1, 2025

January 2025: Delivered service-level error span processing for error tracking, enabling attribution across full traces regardless of span position. Updated documentation and removed outdated bubbling-up workarounds, improving reliability and developer efficiency.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

GoMarkdown

Technical Skills

DocumentationGobackend developmentobservabilitytracing

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

DataDog/documentation

Jan 2025 Apr 2025
2 Months active

Languages Used

Markdown

Technical Skills

Documentation

DataDog/dd-trace-go

Apr 2026 Apr 2026
1 Month active

Languages Used

Go

Technical Skills

Gobackend developmentobservabilitytracing