DataDog/dd-sdk-ios
Nov 2025 – Mar 2026
4 Months active
Languages Used
SwiftMarkdownRuby
Technical Skills
Backend IntegrationLoggingSwiftUnit TestingiOS DevelopmentIntegration Testing
Miguel Arroz
PROFILE
Miguel Arroz
Miguel Arroz contributed to the DataDog/dd-sdk-ios repository by developing and refining features that enhance traceability, data fidelity, and developer experience in iOS observability tooling. Over four months, he implemented RUM tracing integration, standardized log tagging, and evolved the sampling decision system, focusing on robust backend integration and reliable propagation of trace context. His work involved deep architectural changes using Swift and Objective-C, including concurrency refactors, API surface improvements, and comprehensive test automation. By addressing build stability, documentation, and integration testing, Miguel delivered solutions that improved log context, trace correlation, and data quality, demonstrating strong backend and distributed systems engineering skills.
Overall Statistics
Feature vs Bugs
82%Features
Repository Contributions
61Total
Bugs
3
Commits
61
Features
14
Lines of code
6,529
Activity Months4
Your Network
950 peopleWork History
March 2026
15 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for DataDog/dd-sdk-ios focusing on RUM Tracing Integration and Active Span Management. The work delivered elevates end-to-end traceability by propagating active span context into RUM resources, aligns RUM resource sampling with trace spans, and ensures consistent trace IDs used by backend APM reconstruction. The initiative also included extensive tests, refactors for concurrency and safety, and targeted bug fixes to solidify span context handling and resource sampling across the RUM feature.
15 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for DataDog/dd-sdk-ios focusing on RUM Tracing Integration and Active Span Management. The work delivered elevates end-to-end traceability by propagating active span context into RUM resources, aligns RUM resource sampling with trace spans, and ensures consistent trace IDs used by backend APM reconstruction. The initiative also included extensive tests, refactors for concurrency and safety, and targeted bug fixes to solidify span context handling and resource sampling across the RUM feature.
March 2026
January 2026
30 Commits • 9 Features
Jan 1, 2026January 2026 – dd-sdk-ios delivered a set of targeted improvements to RUM data path, sampling, and trace propagation that together increase data fidelity, reliability, and developer productivity. Key outcomes include manual keep/drop support with a partial data model and end-to-end ingestion/propagation plus initial tests; evolution of the sampling decision system to agentRate (renaming and class-based SamplingDecision) with full ingestion/propagation, plus cleanup of legacy changes; propagation header bug fixes ensuring correct propagation state and restoration of the sampled flag for downstream visibility; ergonomic API surface enhancements for keep/drop flows and Objective-C alignment; enrichment of propagation metadata with a tracestate t.dm key; and comprehensive documentation, test, and build quality work (docs, changelog updates, tracer tests, test compilation fixes, and a pod version upgrade to stabilize builds). Overall impact moves the SDK closer to production-ready data accuracy, lower maintenance costs for data retention decisions, and a smoother developer experience for iOS teams.
January 2026
30 Commits • 9 Features
Jan 1, 2026January 2026 – dd-sdk-ios delivered a set of targeted improvements to RUM data path, sampling, and trace propagation that together increase data fidelity, reliability, and developer productivity. Key outcomes include manual keep/drop support with a partial data model and end-to-end ingestion/propagation plus initial tests; evolution of the sampling decision system to agentRate (renaming and class-based SamplingDecision) with full ingestion/propagation, plus cleanup of legacy changes; propagation header bug fixes ensuring correct propagation state and restoration of the sampled flag for downstream visibility; ergonomic API surface enhancements for keep/drop flows and Objective-C alignment; enrichment of propagation metadata with a tracestate t.dm key; and comprehensive documentation, test, and build quality work (docs, changelog updates, tracer tests, test compilation fixes, and a pod version upgrade to stabilize builds). Overall impact moves the SDK closer to production-ready data accuracy, lower maintenance costs for data retention decisions, and a smoother developer experience for iOS teams.
December 2025
13 Commits • 3 Features
Dec 1, 2025Monthly summary for 2025-12 for repository DataDog/dd-sdk-ios focusing on key accomplishments, major bug fixes, and business impact. Highlights include cross-version enhancements to alert UX testing (UIKit/SwiftUI), expanded RUM event coverage for Alerts/Confirmation Dialogs/Action Sheets, and improved test data validation. Also addressed significant build/test stability issues across Xcode versions and tvOS-related quirks, resulting in more reliable releases and higher telemetry fidelity.
13 Commits • 3 Features
Dec 1, 2025Monthly summary for 2025-12 for repository DataDog/dd-sdk-ios focusing on key accomplishments, major bug fixes, and business impact. Highlights include cross-version enhancements to alert UX testing (UIKit/SwiftUI), expanded RUM event coverage for Alerts/Confirmation Dialogs/Action Sheets, and improved test data validation. Also addressed significant build/test stability issues across Xcode versions and tvOS-related quirks, resulting in more reliable releases and higher telemetry fidelity.
December 2025
November 2025
3 Commits • 1 Features
Nov 1, 2025Month: 2025-11; DataDog/dd-sdk-ios delivered a major logging enhancement focused on standardizing log tagging. Key changes include: default ddTags added to log requests; ddTags moved from Dd to LogEvent to ensure proper serialization; tests extended to cover new tagging. No other major bugs were fixed this month in this repo. Business impact: improved log context, traceability, and data quality, enabling more reliable filtering, faster debugging, and better correlation with traces. Technologies demonstrated: Swift, iOS Datadog SDK, serialization, and expanded test automation. Commits supporting this work: 7a58efd94352a483ab0b04acdd183b0aa0e4876b; 207e024d06c35a7db55a84c3cd5c0da65a694cc0; 7854b2734b6add8e7bf3bb5cac4d0182918fd611.
November 2025
3 Commits • 1 Features
Nov 1, 2025Month: 2025-11; DataDog/dd-sdk-ios delivered a major logging enhancement focused on standardizing log tagging. Key changes include: default ddTags added to log requests; ddTags moved from Dd to LogEvent to ensure proper serialization; tests extended to cover new tagging. No other major bugs were fixed this month in this repo. Business impact: improved log context, traceability, and data quality, enabling more reliable filtering, faster debugging, and better correlation with traces. Technologies demonstrated: Swift, iOS Datadog SDK, serialization, and expanded test automation. Commits supporting this work: 7a58efd94352a483ab0b04acdd183b0aa0e4876b; 207e024d06c35a7db55a84c3cd5c0da65a694cc0; 7854b2734b6add8e7bf3bb5cac4d0182918fd611.
Activity
Loading activity data...
Quality Metrics
Correctness98.0%
Maintainability89.8%
Architecture93.0%
Performance90.6%
AI Usage22.6%
Skills & Technologies
Programming Languages
MarkdownRubySwift
Technical Skills
API DevelopmentBackend DevelopmentBackend IntegrationCocoaPodsCode Quality ImprovementConcurrencyData ModelingDistributed SystemsDistributed TracingDocumentationIntegration TestingLoggingMobile DevelopmentNetwork ProgrammingNetworking
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline