DataDog/dd-sdk-ios
Nov 2025 – Jan 2026
3 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 delivering a series of backend and integration enhancements over three months, focusing on logging, alert detection, and trace propagation. He standardized log tagging and serialization, expanded test coverage for alert-related UI across UIKit and SwiftUI, and improved build stability across Xcode and tvOS versions. Miguel also evolved the SDK’s sampling and trace propagation systems, introducing manual keep/drop support and refining propagation metadata. His work, primarily in Swift and Objective-C, emphasized robust integration testing, code quality, and documentation, resulting in more reliable data ingestion, improved developer experience, and production-ready telemetry for iOS applications.
Overall Statistics
Feature vs Bugs
81%Features
Repository Contributions
46Total
Bugs
3
Commits
46
Features
13
Lines of code
4,374
Activity Months3
Your Network
891 people
Work History
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.
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
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.
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.
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.
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
Activity
Loading activity data...
Quality Metrics
Correctness97.8%
Maintainability90.0%
Architecture92.0%
Performance91.0%
AI Usage21.6%
Skills & Technologies
Programming Languages
MarkdownRubySwift
Technical Skills
API DevelopmentBackend DevelopmentBackend IntegrationCocoaPodsCode Quality ImprovementData ModelingDistributed SystemsIntegration TestingLoggingNetwork ProgrammingNetworkingObject-Oriented ProgrammingObjective-CPerformance MonitoringSoftware Architecture
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline