
Dudi Keleti engineered robust dynamic instrumentation and debugging features for the DataDog/dd-trace-dotnet repository, focusing on scalable observability and reliable telemetry in .NET environments. He enhanced code-origin tracking, adaptive caching, and symbol data pipelines, applying C# and Python to optimize performance and reduce runtime errors. His work included refactoring debugger subsystems, implementing remote configuration management, and improving test automation for CI stability. By addressing concurrency, error handling, and configuration merging, Dudi ensured deterministic tracing and safer diagnostics. The depth of his contributions is reflected in improved data quality, reduced operational overhead, and expanded tracing coverage across distributed .NET applications.

October 2025 monthly summary: Delivered major debugging and instrumentation enhancements across DataDog/dd-trace-dotnet and DataDog/system-tests, focusing on reliability and diagnostics throughput. Key features/bugs addressed include dynamic debugger instrumentation, dynamic configuration keys, and code-origin tracking with improved ingestion routing; debugger schema enhancements enabling new fields and nullable messages; and in-product test enablement with updated snapshots across .NET. Major reliability fixes: guard against undefined expressions, handle pdb open errors, ignore canceled exceptions, and ensure snapshots reach the debugger intake. Code-origin performance gained from Assembly Filter Caching. Overall impact: faster, safer diagnostics with reduced debugging toil and broader test coverage across .NET versions. Technologies demonstrated: .NET/C# instrumentation, dynamic configuration parsing, code-origin pipelines, schema evolution, test automation, and telemetry controls.
October 2025 monthly summary: Delivered major debugging and instrumentation enhancements across DataDog/dd-trace-dotnet and DataDog/system-tests, focusing on reliability and diagnostics throughput. Key features/bugs addressed include dynamic debugger instrumentation, dynamic configuration keys, and code-origin tracking with improved ingestion routing; debugger schema enhancements enabling new fields and nullable messages; and in-product test enablement with updated snapshots across .NET. Major reliability fixes: guard against undefined expressions, handle pdb open errors, ignore canceled exceptions, and ensure snapshots reach the debugger intake. Code-origin performance gained from Assembly Filter Caching. Overall impact: faster, safer diagnostics with reduced debugging toil and broader test coverage across .NET versions. Technologies demonstrated: .NET/C# instrumentation, dynamic configuration parsing, code-origin pipelines, schema evolution, test automation, and telemetry controls.
Monthly summary for 2025-09 focusing on delivering high-value features, stabilizing configuration behavior, and expanding test coverage across the dd-trace-dotnet and system-tests repositories. The quarter’s work improved on-demand debugging capabilities, deterministic APM_TRACING behavior, and .NET tracing in system-tests, while addressing key ER test reliability.
Monthly summary for 2025-09 focusing on delivering high-value features, stabilizing configuration behavior, and expanding test coverage across the dd-trace-dotnet and system-tests repositories. The quarter’s work improved on-demand debugging capabilities, deterministic APM_TRACING behavior, and .NET tracing in system-tests, while addressing key ER test reliability.
August 2025: Focused on aligning the debugger subsystem with the broader debugger suite and laying the groundwork for in-product enablement in DataDog/dd-trace-dotnet. The work established a cleaner architecture and prepared the codebase for smoother in-product feature enablement.
August 2025: Focused on aligning the debugger subsystem with the broader debugger suite and laying the groundwork for in-product enablement in DataDog/dd-trace-dotnet. The work established a cleaner architecture and prepared the codebase for smoother in-product feature enablement.
For 2025-06, DataDog/dd-trace-dotnet delivered two key items in dynamic instrumentation and improved observability. Key outcomes: SymDB upload default enabled in tracer; WCF dynamic instrumentation support for retrieving active scopes and applying correct span tags; debugger settings coverage updated; config keys aligned with defaults. Impact: faster issue triage, reduced manual config, expanded instrumentation coverage for .NET Framework WCF. Technologies: dynamic instrumentation, .NET, WCF, Symbol Server (SymDB), configuration management, test automation.
For 2025-06, DataDog/dd-trace-dotnet delivered two key items in dynamic instrumentation and improved observability. Key outcomes: SymDB upload default enabled in tracer; WCF dynamic instrumentation support for retrieving active scopes and applying correct span tags; debugger settings coverage updated; config keys aligned with defaults. Impact: faster issue triage, reduced manual config, expanded instrumentation coverage for .NET Framework WCF. Technologies: dynamic instrumentation, .NET, WCF, Symbol Server (SymDB), configuration management, test automation.
Month: 2025-05 (May 2025). Focused on stabilizing instrumentation reliability and improving diagnostics for DataDog/dd-trace-dotnet. Delivered critical bug fixes and reliability improvements that directly enhance tracing accuracy, reduce false negatives, and strengthen CI stability. Key outcomes include: 1) Correct default rate limit handling for span decoration and metric probes to prevent premature drops and with enhanced probe creation/evaluation logging; 2) Stabilization of the test suite by skipping the flaky LineProbeUnboundProbeBecomesBoundTest to improve CI reliability; 3) Fix for a type handle mismatch in EndpointDetector attribute type resolution with improved error logging in SpanCodeOriginManager. These changes improve telemetry fidelity, reduce debugging time for customers, and accelerate release confidence.
Month: 2025-05 (May 2025). Focused on stabilizing instrumentation reliability and improving diagnostics for DataDog/dd-trace-dotnet. Delivered critical bug fixes and reliability improvements that directly enhance tracing accuracy, reduce false negatives, and strengthen CI stability. Key outcomes include: 1) Correct default rate limit handling for span decoration and metric probes to prevent premature drops and with enhanced probe creation/evaluation logging; 2) Stabilization of the test suite by skipping the flaky LineProbeUnboundProbeBecomesBoundTest to improve CI reliability; 3) Fix for a type handle mismatch in EndpointDetector attribute type resolution with improved error logging in SpanCodeOriginManager. These changes improve telemetry fidelity, reduce debugging time for customers, and accelerate release confidence.
April 2025 - DataDog/dd-trace-dotnet: Dynamic instrumentation for ASP.NET Core gained code-origin visibility on entry spans, coupled with performance optimizations, and a targeted bug fix to improve data quality. Impact: clearer telemetry with lower overhead and faster issue diagnosis; skills demonstrated: dynamic instrumentation, performance optimization, and data modeling.
April 2025 - DataDog/dd-trace-dotnet: Dynamic instrumentation for ASP.NET Core gained code-origin visibility on entry spans, coupled with performance optimizations, and a targeted bug fix to improve data quality. Impact: clearer telemetry with lower overhead and faster issue diagnosis; skills demonstrated: dynamic instrumentation, performance optimization, and data modeling.
March 2025: Focused on hardening the symbol upload workflow in dd-trace-dotnet by introducing gzip-content validation and corruption prevention, delivering improved reliability, observability, and data integrity for the symbol upload pipeline.
March 2025: Focused on hardening the symbol upload workflow in dd-trace-dotnet by introducing gzip-content validation and corruption prevention, delivering improved reliability, observability, and data integrity for the symbol upload pipeline.
February 2025 performance and security instrumentation focus for DataDog/dd-trace-dotnet. Delivered two key features enhancing redaction and system performance, plus groundwork for efficient resource usage under concurrency. No explicit major bugs fixed this month; improvements are concentrated in redaction reliability and throughput.
February 2025 performance and security instrumentation focus for DataDog/dd-trace-dotnet. Delivered two key features enhancing redaction and system performance, plus groundwork for efficient resource usage under concurrency. No explicit major bugs fixed this month; improvements are concentrated in redaction reliability and throughput.
January 2025: Delivered symbol data upload/extraction reliability improvements for dd-trace-dotnet (SymDB). Key changes include flushing gzip streams, introducing application/gzip MIME type, enabling compression by default, and skipping uploads for nameless symbols to reduce noise and improve data quality. This work enhances ingestion reliability and debugging accuracy, lowering storage/processing overhead. Technical focus: .NET, Dynamic Instrumentation, gzip streaming, MIME types, and data pipeline maintenance. Commits show traceability: b79a2db6e1a80d5b2b0eb28672f171c26b121dbd; 18c2f0f32b0203561f3ce64385587a53acdd3cb8; ba866a8a9d476e34717ed7e55592382fc1cb253b.
January 2025: Delivered symbol data upload/extraction reliability improvements for dd-trace-dotnet (SymDB). Key changes include flushing gzip streams, introducing application/gzip MIME type, enabling compression by default, and skipping uploads for nameless symbols to reduce noise and improve data quality. This work enhances ingestion reliability and debugging accuracy, lowering storage/processing overhead. Technical focus: .NET, Dynamic Instrumentation, gzip streaming, MIME types, and data pipeline maintenance. Commits show traceability: b79a2db6e1a80d5b2b0eb28672f171c26b121dbd; 18c2f0f32b0203561f3ce64385587a53acdd3cb8; ba866a8a9d476e34717ed7e55592382fc1cb253b.
December 2024: Delivered two major enhancements for DataDog/dd-trace-dotnet to improve runtime stability and reduce telemetry overhead. Implemented safeguards around dynamic instrumentation and LiveDebugger lifecycle, and introduced configurable compression for SymDB payloads. The work emphasizes reliability, performance, and operational safety in production environments.
December 2024: Delivered two major enhancements for DataDog/dd-trace-dotnet to improve runtime stability and reduce telemetry overhead. Implemented safeguards around dynamic instrumentation and LiveDebugger lifecycle, and introduced configurable compression for SymDB payloads. The work emphasizes reliability, performance, and operational safety in production environments.
November 2024 monthly summary for dd-trace-dotnet: Delivered targeted improvements to dynamic instrumentation, focusing on visibility, performance, and reliability. Key features were implemented, critical stability fixes completed, and cross-cutting technical skills demonstrated to enable scalable, robust tracing with lower overhead and fewer runtime errors.
November 2024 monthly summary for dd-trace-dotnet: Delivered targeted improvements to dynamic instrumentation, focusing on visibility, performance, and reliability. Key features were implemented, critical stability fixes completed, and cross-cutting technical skills demonstrated to enable scalable, robust tracing with lower overhead and fewer runtime errors.
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