
Barbora Plasovska contributed to the DataDog/dd-sdk-ios repository by developing and refining features that enhance observability, accessibility, and performance monitoring for iOS applications. Over ten months, she delivered robust solutions such as accessibility data collection in RUM, GraphQL instrumentation, and benchmarking improvements, using Swift and Objective-C alongside technologies like Datadog SDK and SwiftUI. Her work involved protocol-oriented programming, data modeling, and CI/CD optimization, with a focus on efficient payload handling and test reliability. Barbora’s engineering approach emphasized maintainability and data fidelity, resulting in a more reliable SDK that supports advanced telemetry, accessibility analytics, and streamlined debugging for mobile developers.

November 2025 (2025-11) performance-focused month for DataDog/dd-sdk-ios. Delivered major enhancements to GraphQL instrumentation, streamlined resource handling, and UI-related render improvements, while strengthening test stability and preparing for the 3.3.0 release. The work enhanced observability, reliability, and developer experience, contributing to faster diagnostics, safer data processing, and more accurate rendering. Key outcomes include a consolidated GraphQL request attributes model, removal of GraphQL headers from requests, improved trace context, simplified URLSessionRUMResourcesHandler data handling, and a new SRTextStyle truncation option. Versioning updates and changelog contributions positioned the project for a smooth release cycle.
November 2025 (2025-11) performance-focused month for DataDog/dd-sdk-ios. Delivered major enhancements to GraphQL instrumentation, streamlined resource handling, and UI-related render improvements, while strengthening test stability and preparing for the 3.3.0 release. The work enhanced observability, reliability, and developer experience, contributing to faster diagnostics, safer data processing, and more accurate rendering. Key outcomes include a consolidated GraphQL request attributes model, removal of GraphQL headers from requests, improved trace context, simplified URLSessionRUMResourcesHandler data handling, and a new SRTextStyle truncation option. Versioning updates and changelog contributions positioned the project for a smooth release cycle.
October 2025: Focused on expanding observability and debugging capabilities in DataDog/dd-sdk-ios, delivering end-to-end GraphQL instrumentation in RUM and enabling WebView debugging support. Implemented GraphQL observability and error tracking, centralized header handling, and comprehensive tests, with changelog updates to ensure traceability. Also enabled WebView inspectability to facilitate WebKit-based debugging and faster issue diagnosis.
October 2025: Focused on expanding observability and debugging capabilities in DataDog/dd-sdk-ios, delivering end-to-end GraphQL instrumentation in RUM and enabling WebView debugging support. Implemented GraphQL observability and error tracking, centralized header handling, and comprehensive tests, with changelog updates to ensure traceability. Also enabled WebView inspectability to facilitate WebKit-based debugging and faster issue diagnosis.
September 2025 performance summary for DataDog/dd-sdk-ios. Delivered a major feature for RUM Accessibility Data Handling and Payload Optimization within the dd-sdk-ios repository. The changes consolidate accessibility handling for RUM views, introduce optional hasAccessibility, relocate view-specific logic, enable conversion to RUMViewEvent.View.Accessibility, implement diffing, and establish a mechanism to only send updated accessibility data. This work enhances data quality, reduces payload size, and improves maintainability of the RUM data path. The initiative demonstrates strong collaboration between data modeling, payload optimization, and code review-driven improvements, delivering measurable business value through lower bandwidth costs and more accurate accessibility telemetry for clients.
September 2025 performance summary for DataDog/dd-sdk-ios. Delivered a major feature for RUM Accessibility Data Handling and Payload Optimization within the dd-sdk-ios repository. The changes consolidate accessibility handling for RUM views, introduce optional hasAccessibility, relocate view-specific logic, enable conversion to RUMViewEvent.View.Accessibility, implement diffing, and establish a mechanism to only send updated accessibility data. This work enhances data quality, reduces payload size, and improves maintainability of the RUM data path. The initiative demonstrates strong collaboration between data modeling, payload optimization, and code review-driven improvements, delivering measurable business value through lower bandwidth costs and more accurate accessibility telemetry for clients.
August 2025 focused on delivering accessibility data collection enhancements in the DataDog/dd-sdk-ios RUM SDK. Implemented a new collectAccessibility flag in RUM Configuration, optimized accessibility data reporting and update efficiency, and integrated multiple code-review suggestions to improve quality. No major bugs fixed this period; work centered on feature delivery and preparing the change for release, delivering tangible business value through richer accessibility analytics and faster data updates.
August 2025 focused on delivering accessibility data collection enhancements in the DataDog/dd-sdk-ios RUM SDK. Implemented a new collectAccessibility flag in RUM Configuration, optimized accessibility data reporting and update efficiency, and integrated multiple code-review suggestions to improve quality. No major bugs fixed this period; work centered on feature delivery and preparing the change for release, delivering tangible business value through richer accessibility analytics and faster data updates.
Concise monthly summary for 2025-07 focusing on delivered value and technical achievements for DataDog/dd-sdk-ios. This period centered on stability, accessibility improvements, and release readiness, culminating in a product-ready 2.30.0 update and strengthened test reliability.
Concise monthly summary for 2025-07 focusing on delivered value and technical achievements for DataDog/dd-sdk-ios. This period centered on stability, accessibility improvements, and release readiness, culminating in a product-ready 2.30.0 update and strengthened test reliability.
June 2025 monthly summary for DataDog/dd-sdk-ios: Delivered AccessibilityReader integration with RUM to capture accessibility data within RUM events, including updates to RUMFeature, RUMViewScope, mocks, and tests. Implemented Screen brightness data collection and integration into DatadogContextProvider and RUM data models, with clarified type names. Fixed SwiftPrinter multi-line comment printing by splitting lines and prefixing each with ///, with accompanying tests. These efforts improve observability, accessibility insights, battery context telemetry, and code generation reliability, delivering tangible business value and stronger data fidelity in RUM telemetry.
June 2025 monthly summary for DataDog/dd-sdk-ios: Delivered AccessibilityReader integration with RUM to capture accessibility data within RUM events, including updates to RUMFeature, RUMViewScope, mocks, and tests. Implemented Screen brightness data collection and integration into DatadogContextProvider and RUM data models, with clarified type names. Fixed SwiftPrinter multi-line comment printing by splitting lines and prefixing each with ///, with accompanying tests. These efforts improve observability, accessibility insights, battery context telemetry, and code generation reliability, delivering tangible business value and stronger data fidelity in RUM telemetry.
May 2025: Delivered core enhancements to DataDog/dd-sdk-ios focused on observability fidelity, accessibility data collection, and locale-aware telemetry. Key features include environment tagging for Benchmark metrics to separate synthetic vs local data, opt-in accessibility data collection in RUM with new Accessibility model and feature flag, and LocaleInfoPublisher integration to propagate locale data into DatadogContext and RUM/telemetry. While no major defects were reported, we improved test coverage and added robustness around accessibility data collection and locale data handling.
May 2025: Delivered core enhancements to DataDog/dd-sdk-ios focused on observability fidelity, accessibility data collection, and locale-aware telemetry. Key features include environment tagging for Benchmark metrics to separate synthetic vs local data, opt-in accessibility data collection in RUM with new Accessibility model and feature flag, and LocaleInfoPublisher integration to propagate locale data into DatadogContext and RUM/telemetry. While no major defects were reported, we improved test coverage and added robustness around accessibility data collection and locale data handling.
April 2025 – DataDog/dd-sdk-ios: Delivered Benchmark CI/CD improvements and linter rule update, addressing linter errors in the benchmark test suite and streamlining CI pipelines. Key changes included refactoring CI configurations, introducing a new rule for benchmark pipelines, consolidating existing rules for clarity, and applying minor Swift formatting adjustments. These changes reduced CI noise, improved benchmark reliability, and reinforced coding standards across the repository.
April 2025 – DataDog/dd-sdk-ios: Delivered Benchmark CI/CD improvements and linter rule update, addressing linter errors in the benchmark test suite and streamlining CI pipelines. Key changes included refactoring CI configurations, introducing a new rule for benchmark pipelines, consolidating existing rules for clarity, and applying minor Swift formatting adjustments. These changes reduced CI noise, improved benchmark reliability, and reinforced coding standards across the repository.
March 2025: DataDog/dd-sdk-ios benchmarking suite delivered major feature work across logging, tracing, and RUM benchmarking scenarios. Key outcomes include a redesigned, performance-focused Logging Benchmark with improved payloads and initialization stability, deterministic UI options, and an extended benchmark structure for clearer analysis. Introduced manual and auto RUM benchmarking scenarios to enable reproducible test coverage and auto-instrumentation testing. These efforts improve measurement reliability, reduce memory footprint where applicable (e.g., removing unnecessary log lists), and enrich data used for performance optimizations. Demonstrated technologies and skills include Swift/iOS development, benchmarking instrumentation, UI/UX for benchmarks, RUM and tracing integration, and CR-driven refactors to stabilize instrumentation pipelines and data handling.
March 2025: DataDog/dd-sdk-ios benchmarking suite delivered major feature work across logging, tracing, and RUM benchmarking scenarios. Key outcomes include a redesigned, performance-focused Logging Benchmark with improved payloads and initialization stability, deterministic UI options, and an extended benchmark structure for clearer analysis. Introduced manual and auto RUM benchmarking scenarios to enable reproducible test coverage and auto-instrumentation testing. These efforts improve measurement reliability, reduce memory footprint where applicable (e.g., removing unnecessary log lists), and enrich data used for performance optimizations. Demonstrated technologies and skills include Swift/iOS development, benchmarking instrumentation, UI/UX for benchmarks, RUM and tracing integration, and CR-driven refactors to stabilize instrumentation pipelines and data handling.
February 2025 monthly summary for DataDog/dd-sdk-ios: Delivered key benchmarks enhancements and reliability improvements that strengthen onboarding, measurement accuracy, and performance testing capabilities. Highlights include documentation enhancements for Benchmark app setup and troubleshooting (with a new make-based setup command and clarified README), a reliability fix for RUMViewScope hasReplay flag persistence supported by consolidated unit tests, and the introduction of new logging scenarios for Benchmarking (custom and heavy traffic) to enable more realistic performance tests and instrumentation.
February 2025 monthly summary for DataDog/dd-sdk-ios: Delivered key benchmarks enhancements and reliability improvements that strengthen onboarding, measurement accuracy, and performance testing capabilities. Highlights include documentation enhancements for Benchmark app setup and troubleshooting (with a new make-based setup command and clarified README), a reliability fix for RUMViewScope hasReplay flag persistence supported by consolidated unit tests, and the introduction of new logging scenarios for Benchmarking (custom and heavy traffic) to enable more realistic performance tests and instrumentation.
Overview of all repositories you've contributed to across your timeline