DataDog/dd-sdk-ios
Oct 2024 – Feb 2026
17 Months active
Languages Used
SwiftMakefileObjective-CYAMLShellMarkdownBashPython
Technical Skills
SwiftUI TestingiOS DevelopmentBuild AutomationCI/CDDebugging
Marie Denis
PROFILE
Marie Denis
Marie Denis contributed to the DataDog/dd-sdk-ios repository by engineering robust real-user monitoring and telemetry features for iOS. She developed automatic SwiftUI RUM tracking, enhanced network instrumentation, and improved privacy-aware UI testing, focusing on reliability and data quality. Her work included refactoring API surfaces for Swift and Objective-C interoperability, automating release processes, and strengthening test coverage. Using Swift, Objective-C, and Python, Marie addressed concurrency, error handling, and protocol conformance, while integrating CI/CD automation and OpenAI-powered workflows. Her solutions reduced manual instrumentation, improved analytics accuracy, and streamlined deployment, demonstrating depth in SDK development and a strong focus on maintainable, production-ready code.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
137Total
Bugs
5
Commits
137
Features
47
Lines of code
27,225
Activity Months17
Your Network
891 people
Work History
February 2026
6 Commits • 4 Features
Feb 1, 2026February 2026 for DataDog/dd-sdk-ios focused on reliability, observability, and developer experience. Key features include robust logging attribute encoding with improved error handling and attribute skip logic; network instrumentation enhancements delivering duration breakdown and refined metrics; flexible FlagsEvaluationFeature by making performanceOverride optional; and improved changelog formatting and PR link references for traceability. These changes improved logging resilience, visibility into network performance, and protocol conformance, while enhancing release documentation.
6 Commits • 4 Features
Feb 1, 2026February 2026 for DataDog/dd-sdk-ios focused on reliability, observability, and developer experience. Key features include robust logging attribute encoding with improved error handling and attribute skip logic; network instrumentation enhancements delivering duration breakdown and refined metrics; flexible FlagsEvaluationFeature by making performanceOverride optional; and improved changelog formatting and PR link references for traceability. These changes improved logging resilience, visibility into network performance, and protocol conformance, while enhancing release documentation.
February 2026
January 2026
17 Commits • 3 Features
Jan 1, 2026January 2026 (2026-01) focused on boosting telemetry fidelity, reliability, and release readiness for DataDog/dd-sdk-ios. Key work centered on: - Network instrumentation: automatic URLSession tracking, timing enhancements, and a new metrics API, with domain filtering removed and improved tracing; alignment with data-driven telemetry goals. - RUM improvements: resource size sizing accuracy via a fallback to interception response size when metrics size is zero. - Release readiness: API surface enhancements (new initializers, config options, feature flags) and version bump to 3.5.0, plus release housekeeping. Overall, these efforts enhance data completeness, reduce manual instrumentation, and streamline deployment for upcoming features and telemetry improvements.
January 2026
17 Commits • 3 Features
Jan 1, 2026January 2026 (2026-01) focused on boosting telemetry fidelity, reliability, and release readiness for DataDog/dd-sdk-ios. Key work centered on: - Network instrumentation: automatic URLSession tracking, timing enhancements, and a new metrics API, with domain filtering removed and improved tracing; alignment with data-driven telemetry goals. - RUM improvements: resource size sizing accuracy via a fallback to interception response size when metrics size is zero. - Release readiness: API surface enhancements (new initializers, config options, feature flags) and version bump to 3.5.0, plus release housekeeping. Overall, these efforts enhance data completeness, reduce manual instrumentation, and streamline deployment for upcoming features and telemetry improvements.
December 2025
5 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary: Delivered essential developer-facing improvements for the DataDog iOS SDK, focusing on documentation quality, release readiness, and runtime configurability. The work strengthened onboarding, reduced integration friction, and improved session replay fidelity across iOS apps.
5 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary: Delivered essential developer-facing improvements for the DataDog iOS SDK, focusing on documentation quality, release readiness, and runtime configurability. The work strengthened onboarding, reduced integration friction, and improved session replay fidelity across iOS apps.
December 2025
November 2025
12 Commits • 4 Features
Nov 1, 2025November 2025 performance summary for DataDog/dd-sdk-ios: Focused on stabilizing tracing, expanding RUM visibility, and improving code quality. Key features delivered include deterministic session-based sampling for distributed tracing, traceSampleRate support in RUM data models, and dual-mode network instrumentation for URLSession. Additionally, significant internal refactors and test improvements were completed to enhance maintainability and quality. Business value: more reliable telemetry, clearer session-level insights, and faster developer iteration.
November 2025
12 Commits • 4 Features
Nov 1, 2025November 2025 performance summary for DataDog/dd-sdk-ios: Focused on stabilizing tracing, expanding RUM visibility, and improving code quality. Key features delivered include deterministic session-based sampling for distributed tracing, traceSampleRate support in RUM data models, and dual-mode network instrumentation for URLSession. Additionally, significant internal refactors and test improvements were completed to enhance maintainability and quality. Business value: more reliable telemetry, clearer session-level insights, and faster developer iteration.
October 2025
3 Commits • 2 Features
Oct 1, 2025Month: 2025-10 — DataDog/dd-sdk-ios Key features delivered: - Crash reporting refinement and dependency clean-up: clarified crash messages and ensured crash reports are sent as RUM errors only; removed unused logging dependencies to streamline integration. - Test suite performance improvement: sped up the test suite by reducing the InternalLoggerTests testLogging timeout from 60s to 2s. Major bugs fixed: - Logger thread-safety hardening during logger replacement: fixed race condition in logger replacement and added tests for concurrent access to ensure thread safety in multithreaded environments. Overall impact and accomplishments: - Enhanced reliability and maintainability of dd-sdk-ios with safer concurrency for logging, leaner crash reporting integration, and accelerated feedback loops through faster CI tests. Delivers business value by reducing logging-related race risk, clarifying crash analytics, and shortening development cycles. Technologies/skills demonstrated: - Concurrency and thread-safety, crash reporting design (RUM integration), test automation and optimization, dependency cleanup, and CI performance improvements.
3 Commits • 2 Features
Oct 1, 2025Month: 2025-10 — DataDog/dd-sdk-ios Key features delivered: - Crash reporting refinement and dependency clean-up: clarified crash messages and ensured crash reports are sent as RUM errors only; removed unused logging dependencies to streamline integration. - Test suite performance improvement: sped up the test suite by reducing the InternalLoggerTests testLogging timeout from 60s to 2s. Major bugs fixed: - Logger thread-safety hardening during logger replacement: fixed race condition in logger replacement and added tests for concurrent access to ensure thread safety in multithreaded environments. Overall impact and accomplishments: - Enhanced reliability and maintainability of dd-sdk-ios with safer concurrency for logging, leaner crash reporting integration, and accelerated feedback loops through faster CI tests. Delivers business value by reducing logging-related race risk, clarifying crash analytics, and shortening development cycles. Technologies/skills demonstrated: - Concurrency and thread-safety, crash reporting design (RUM integration), test automation and optimization, dependency cleanup, and CI performance improvements.
October 2025
September 2025
10 Commits • 5 Features
Sep 1, 2025In 2025-09, the dd-sdk-ios team delivered cross-language API surface verification, expanded the Feature Operations (FO) lifecycle, improved accessibility attributes, enhanced issue analysis with OpenAI integration, and strengthened test isolation. These efforts reduce cross-language integration risk, improve CI reliability, and accelerate incident response across iOS SDKs. Key outcomes include CI gating improvements for Objective-C API surface checks, Start/End FO APIs with background view tracking and enriched vitals, FO integration tests expansion, accessibility attributes carried in View Updates, and OpenAI-powered analysis with streamlined Slack reporting.
September 2025
10 Commits • 5 Features
Sep 1, 2025In 2025-09, the dd-sdk-ios team delivered cross-language API surface verification, expanded the Feature Operations (FO) lifecycle, improved accessibility attributes, enhanced issue analysis with OpenAI integration, and strengthened test isolation. These efforts reduce cross-language integration risk, improve CI reliability, and accelerate incident response across iOS SDKs. Key outcomes include CI gating improvements for Objective-C API surface checks, Start/End FO APIs with background view tracking and enriched vitals, FO integration tests expansion, accessibility attributes carried in View Updates, and OpenAI-powered analysis with streamlined Slack reporting.
August 2025
20 Commits • 3 Features
Aug 1, 2025Monthly Summary for 2025-08 (DataDog/dd-sdk-ios) Key Features Delivered: - RUM Feature Operations Lifecycle: Implemented end-to-end feature operation tracking with start/succeed/fail events, optional keys/attributes, command structures, public APIs, and a dedicated operation manager. Added Objective-C API support and lifecycle mapping to enable comprehensive monitoring of feature executions across the SDK. - Telemetry Enhancements for RUM Feature Operations: Added API usage telemetry and a new addOperationStepVital event to monitor start, success, and failure of feature operations, improving observability and data-driven decisions. - CI/CD and Tooling Improvements for Issue Handler: Hardened CI workflows, tests, and tooling, including security hardening, dependency pinning, environment setup tweaks, and licensing/documentation updates to improve release reliability and compliance. Major Bugs Fixed: - Fixed method signature issues and removed lint exceptions related to RUM Feature Operations; refined public APIs for consistency. - Updated FO logic with debug logs, added ObjC APIs, and removed retroactive attributes per CR feedback to stabilize cross-language usage and behavior. - CI-related cleanups: added missing license headers, fixed virtual environment setup, pinned dependencies, and completed security review actions to reduce build-time surprises. Overall Impact and Accomplishments: - Delivered end-to-end feature operation tracking in RUM, enabling reliable monitoring, faster troubleshooting, and better product analytics for feature-related user experiences. - Expanded cross-language support (Swift/ObjC) and instrumentation, enhancing adoption within iOS projects and improving developer experience. - Strengthened release engineering and security posture, leading to faster, safer shipping of SDK changes with improved documentation and licensing compliance. Technologies/Skills Demonstrated: - iOS SDK development (Swift and Objective-C interoperability), RUM telemetry, and observability patterns. - Telemetry instrumentation and API usage analytics. - CI/CD, secure build practices, dependency management, and license/documentation governance.
20 Commits • 3 Features
Aug 1, 2025Monthly Summary for 2025-08 (DataDog/dd-sdk-ios) Key Features Delivered: - RUM Feature Operations Lifecycle: Implemented end-to-end feature operation tracking with start/succeed/fail events, optional keys/attributes, command structures, public APIs, and a dedicated operation manager. Added Objective-C API support and lifecycle mapping to enable comprehensive monitoring of feature executions across the SDK. - Telemetry Enhancements for RUM Feature Operations: Added API usage telemetry and a new addOperationStepVital event to monitor start, success, and failure of feature operations, improving observability and data-driven decisions. - CI/CD and Tooling Improvements for Issue Handler: Hardened CI workflows, tests, and tooling, including security hardening, dependency pinning, environment setup tweaks, and licensing/documentation updates to improve release reliability and compliance. Major Bugs Fixed: - Fixed method signature issues and removed lint exceptions related to RUM Feature Operations; refined public APIs for consistency. - Updated FO logic with debug logs, added ObjC APIs, and removed retroactive attributes per CR feedback to stabilize cross-language usage and behavior. - CI-related cleanups: added missing license headers, fixed virtual environment setup, pinned dependencies, and completed security review actions to reduce build-time surprises. Overall Impact and Accomplishments: - Delivered end-to-end feature operation tracking in RUM, enabling reliable monitoring, faster troubleshooting, and better product analytics for feature-related user experiences. - Expanded cross-language support (Swift/ObjC) and instrumentation, enhancing adoption within iOS projects and improving developer experience. - Strengthened release engineering and security posture, leading to faster, safer shipping of SDK changes with improved documentation and licensing compliance. Technologies/Skills Demonstrated: - iOS SDK development (Swift and Objective-C interoperability), RUM telemetry, and observability patterns. - Telemetry instrumentation and API usage analytics. - CI/CD, secure build practices, dependency management, and license/documentation governance.
August 2025
July 2025
8 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for DataDog/dd-sdk-ios focusing on delivering high-value features, improving analytics accuracy, and automating workflow governance. Highlights include SwiftUI automatic RUM tracking enhancements, production-grade stale issues automation, and RUM data model advancements for Vital events and accessibility. These efforts reduced manual toil, boosted data quality, and strengthened release reliability for faster product iteration and improved customer analytics.
July 2025
8 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for DataDog/dd-sdk-ios focusing on delivering high-value features, improving analytics accuracy, and automating workflow governance. Highlights include SwiftUI automatic RUM tracking enhancements, production-grade stale issues automation, and RUM data model advancements for Vital events and accessibility. These efforts reduced manual toil, boosted data quality, and strengthened release reliability for faster product iteration and improved customer analytics.
June 2025
13 Commits • 2 Features
Jun 1, 2025June 2025: Focused on elevating SwiftUI RUM instrumentation and automating release artifacts for dd-sdk-ios. Implemented SwiftUI RUM auto-tracking and action detection improvements across more UI components with ObjC bridging, enhanced telemetry, and improved session-ended reporting. Automated CHANGELOG publishing to Confluence to streamline release documentation. Together, these efforts improved data quality, reduced manual steps, and accelerated deployment readiness while maintaining high test coverage and code quality.
13 Commits • 2 Features
Jun 1, 2025June 2025: Focused on elevating SwiftUI RUM instrumentation and automating release artifacts for dd-sdk-ios. Implemented SwiftUI RUM auto-tracking and action detection improvements across more UI components with ObjC bridging, enhanced telemetry, and improved session-ended reporting. Automated CHANGELOG publishing to Confluence to streamline release documentation. Together, these efforts improved data quality, reduced manual steps, and accelerated deployment readiness while maintaining high test coverage and code quality.
June 2025
May 2025
3 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05: Delivered SwiftUI RUM Enhancements in DataDog/dd-sdk-ios, introducing automatic RUM action tracking for SwiftUI, refining telemetry reporting for action counts by instrumentation type, and improving robustness of SwiftUI view name extraction. These changes enhance telemetry accuracy, enable more actionable product analytics, and reduce manual instrumentation effort. Additionally, hardened the RUM telemetry pipeline following code-review feedback to increase stability in production instrumentation.
May 2025
3 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05: Delivered SwiftUI RUM Enhancements in DataDog/dd-sdk-ios, introducing automatic RUM action tracking for SwiftUI, refining telemetry reporting for action counts by instrumentation type, and improving robustness of SwiftUI view name extraction. These changes enhance telemetry accuracy, enable more actionable product analytics, and reduce manual instrumentation effort. Additionally, hardened the RUM telemetry pipeline following code-review feedback to increase stability in production instrumentation.
April 2025
9 Commits • 5 Features
Apr 1, 2025Concise monthly summary for DataDog/dd-sdk-ios (April 2025) focusing on business value, technical achievements, and impact across key deliverables, testing, infrastructure, and automation.
9 Commits • 5 Features
Apr 1, 2025Concise monthly summary for DataDog/dd-sdk-ios (April 2025) focusing on business value, technical achievements, and impact across key deliverables, testing, infrastructure, and automation.
April 2025
March 2025
8 Commits • 2 Features
Mar 1, 2025March 2025: Delivered two SwiftUI-centric RUM enhancements for DataDog/dd-sdk-ios that improve view identification accuracy and enable automatic, configurable SwiftUI instrumentation. Migrated reflection logic from Reflector to ReflectionMirror for reliability, added enums for view node paths, and exposed hosting controller access to strengthen data capture. These changes reduce manual instrumentation, improve data quality for SwiftUI workloads, and provide clearer public APIs for developers.
March 2025
8 Commits • 2 Features
Mar 1, 2025March 2025: Delivered two SwiftUI-centric RUM enhancements for DataDog/dd-sdk-ios that improve view identification accuracy and enable automatic, configurable SwiftUI instrumentation. Migrated reflection logic from Reflector to ReflectionMirror for reliability, added enums for view node paths, and exposed hosting controller access to strengthen data capture. These changes reduce manual instrumentation, improve data quality for SwiftUI workloads, and provide clearer public APIs for developers.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for DataDog/dd-sdk-ios: Delivered a refactor of the Datadog Reflection subsystem by moving reflection utilities from DatadogSessionReplay to DatadogInternal to centralize utilities and improve modularity. Exposed ReflectionMirror properties publicly to enhance accessibility and usability of reflection capabilities within the iOS SDK. This work aligns with RUM-8413 and lays groundwork for easier instrumentation and future enhancements, reducing maintenance cost and accelerating feature delivery for clients. No major bugs reported this month; focus was on structural improvements and API surface stabilization.
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for DataDog/dd-sdk-ios: Delivered a refactor of the Datadog Reflection subsystem by moving reflection utilities from DatadogSessionReplay to DatadogInternal to centralize utilities and improve modularity. Exposed ReflectionMirror properties publicly to enhance accessibility and usability of reflection capabilities within the iOS SDK. This work aligns with RUM-8413 and lays groundwork for easier instrumentation and future enhancements, reducing maintenance cost and accelerating feature delivery for clients. No major bugs reported this month; focus was on structural improvements and API surface stabilization.
February 2025
January 2025
8 Commits • 3 Features
Jan 1, 2025January 2025 focused on stability, privacy, and release readiness for dd-sdk-ios. Key features included the privacy override system refactor using associated objects (improving encapsulation and cross-view merging), and groundwork for a FrameworkUtils-based SwiftUI vs UIKit detection integrated into ViewTreeRecordingContext with unit tests. Major bugs fixed included memory leaks in privacy overrides, improved Session Replay placeholder handling with feature flag changes, and flaky test resolution through deterministic mocks. The release culminated in 2.22.1 with comprehensive changelog updates. Overall impact: stronger privacy guarantees, more reliable session replay, improved memory safety, and a smoother, faster release cycle. Technologies: Swift, associated objects, unit testing, mocking, podspec/versioning.
January 2025
8 Commits • 3 Features
Jan 1, 2025January 2025 focused on stability, privacy, and release readiness for dd-sdk-ios. Key features included the privacy override system refactor using associated objects (improving encapsulation and cross-view merging), and groundwork for a FrameworkUtils-based SwiftUI vs UIKit detection integrated into ViewTreeRecordingContext with unit tests. Major bugs fixed included memory leaks in privacy overrides, improved Session Replay placeholder handling with feature flag changes, and flaky test resolution through deterministic mocks. The release culminated in 2.22.1 with comprehensive changelog updates. Overall impact: stronger privacy guarantees, more reliable session replay, improved memory safety, and a smoother, faster release cycle. Technologies: Swift, associated objects, unit testing, mocking, podspec/versioning.
December 2024
9 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for DataDog/dd-sdk-ios focusing on delivering user-facing UI improvements, stronger test coverage, and scalable API tooling. Business value delivered includes privacy-conscious SwiftUI Session Replay rendering, robust test infrastructure reducing release risk, and streamlined API surface tooling to accelerate CI/QA workflows.
9 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for DataDog/dd-sdk-ios focusing on delivering user-facing UI improvements, stronger test coverage, and scalable API tooling. Business value delivered includes privacy-conscious SwiftUI Session Replay rendering, robust test infrastructure reducing release risk, and streamlined API surface tooling to accelerate CI/QA workflows.
December 2024
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 summary for DataDog/dd-sdk-ios: focused on reliability, API stability, and richer session analytics. Key deliverables include: 1) Snapshot correctness after rebase: fixed snapshot capture/processing to maintain accurate session data after rebase operations. 2) CI API surface consistency validation: added automated CI check to compare generated API surface files for Swift and Objective-C against committed versions, integrated into CI lint via .gitlab-ci.yml and Makefile. 3) Session replay: raster image recording in SwiftUI: enabled recording of raster images from SwiftUI views for session replay, including support for CGImage and SwiftUI.Image, reflection logic for image data, and updated tests and project configuration. These changes improve data reliability, API stability, and the richness of session replay analytics. Committed work includes: 40d0ba79a40cf84c1bb74019e46b48f120cb552f; 3bb3c696e0f02942d19fb0797660394ceb9522f9; 952023ca430b0175146847b2c4676705e21c9af6.
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 summary for DataDog/dd-sdk-ios: focused on reliability, API stability, and richer session analytics. Key deliverables include: 1) Snapshot correctness after rebase: fixed snapshot capture/processing to maintain accurate session data after rebase operations. 2) CI API surface consistency validation: added automated CI check to compare generated API surface files for Swift and Objective-C against committed versions, integrated into CI lint via .gitlab-ci.yml and Makefile. 3) Session replay: raster image recording in SwiftUI: enabled recording of raster images from SwiftUI views for session replay, including support for CGImage and SwiftUI.Image, reflection logic for image data, and updated tests and project configuration. These changes improve data reliability, API stability, and the richness of session replay analytics. Committed work includes: 40d0ba79a40cf84c1bb74019e46b48f120cb552f; 3bb3c696e0f02942d19fb0797660394ceb9522f9; 952023ca430b0175146847b2c4676705e21c9af6.
October 2024
1 Commits • 1 Features
Oct 1, 2024Key features delivered: Privacy-aware UI Snapshot Testing for DataDog/dd-sdk-ios. Implemented privacy overrides to mask/unmask sensitive UI data in snapshot tests and added tag-based privacy controls to apply privacy settings to views, ensuring sensitive data is not captured in test artifacts. Commits: 81150a66f4f9116cc34e210c8ec1f3ad735d83a9 (RUM-6425 [SR] Include Privacy Overrides in Snapshot Tests). Major bugs fixed: None reported in 2024-10. Overall impact and accomplishments: Strengthened the privacy posture of UI test automation, reduced risk of sensitive data leakage in test artifacts, and improved reliability of UI tests for the iOS SDK, supporting privacy-compliant releases. Technologies/skills demonstrated: iOS snapshot testing, privacy masking for tests, tag-based privacy controls, test automation, Swift/Objective-C ecosystem, code review.
1 Commits • 1 Features
Oct 1, 2024Key features delivered: Privacy-aware UI Snapshot Testing for DataDog/dd-sdk-ios. Implemented privacy overrides to mask/unmask sensitive UI data in snapshot tests and added tag-based privacy controls to apply privacy settings to views, ensuring sensitive data is not captured in test artifacts. Commits: 81150a66f4f9116cc34e210c8ec1f3ad735d83a9 (RUM-6425 [SR] Include Privacy Overrides in Snapshot Tests). Major bugs fixed: None reported in 2024-10. Overall impact and accomplishments: Strengthened the privacy posture of UI test automation, reduced risk of sensitive data leakage in test artifacts, and improved reliability of UI tests for the iOS SDK, supporting privacy-compliant releases. Technologies/skills demonstrated: iOS snapshot testing, privacy masking for tests, tag-based privacy controls, test automation, Swift/Objective-C ecosystem, code review.
October 2024
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Quality Metrics
Correctness93.6%
Maintainability91.2%
Architecture90.4%
Performance86.2%
AI Usage22.8%
Skills & Technologies
Programming Languages
BashMakefileMarkdownObjective-CPythonShellSwiftYAML
Technical Skills
API DesignAPI DevelopmentAPI IntegrationAPI Surface GenerationAPI Surface TestingAssociated ObjectsAutomationBackend IntegrationBuild AutomationBuild ScriptingBuild SystemsCI/CDCocoaPodsCode CleanupCode Formatting
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