
Kylian Serrania engineered robust CI/CD pipelines and test automation across multiple DataDog repositories, including datadog-agent and integrations-core, focusing on release reliability and developer efficiency. He enhanced artifact validation and package signing workflows using Python and Shell scripting, modernized build systems for Windows and Linux parity, and improved test infrastructure with parallel execution and configurable retry logic. In datadog-agent, Kylian streamlined dependency management and refactored test suites to reduce flakiness, while in integrations-core, he automated changelog verification and PR checks with GitHub Actions. His work demonstrated depth in DevOps, system programming, and continuous integration, delivering maintainable, secure engineering solutions.

January 2026 monthly summary for DataDog/dd-trace-js: Delivered a critical bug fix to Dependabot PR automation policy by adjusting the trigger to fire on pull_request events instead of pull_request_target events. This ensured dependency updates are reliably processed during PR flows, reducing missed updates and speeding up feedback for security/compliance checks.
January 2026 monthly summary for DataDog/dd-trace-js: Delivered a critical bug fix to Dependabot PR automation policy by adjusting the trigger to fire on pull_request events instead of pull_request_target events. This ensured dependency updates are reliably processed during PR flows, reducing missed updates and speeding up feedback for security/compliance checks.
December 2025 monthly summary focused on strengthening release automation and PR validation for DataDog/integrations-core. Delivered enhancements to the CI workflow to streamline checks, improve changelog verification, and introduce automated feedback on major version bumps. Resulted in faster, more reliable PR reviews and higher-quality releases.
December 2025 monthly summary focused on strengthening release automation and PR validation for DataDog/integrations-core. Delivered enhancements to the CI workflow to streamline checks, improve changelog verification, and introduce automated feedback on major version bumps. Resulted in faster, more reliable PR reviews and higher-quality releases.
Delivered major improvements to testing artifact validation and CI packaging/signing across two repositories (DataDog/test-infra-definitions and DataDog/datadog-agent). Implemented targeted testing keys handling for artifact downloads, migrated and enabled signing keys for testing in CI, and fixed deployment argument parsing to prevent misconfigurations. Resulted in more reliable artifact validation, secure and auditable CI packaging, reduced deployment errors, and faster release cycles. Demonstrated skills in CI/CD pipelines, signing/key management, and cross-repo collaboration with a focus on security, reliability, and maintainability.
Delivered major improvements to testing artifact validation and CI packaging/signing across two repositories (DataDog/test-infra-definitions and DataDog/datadog-agent). Implemented targeted testing keys handling for artifact downloads, migrated and enabled signing keys for testing in CI, and fixed deployment argument parsing to prevent misconfigurations. Resulted in more reliable artifact validation, secure and auditable CI packaging, reduced deployment errors, and faster release cycles. Demonstrated skills in CI/CD pipelines, signing/key management, and cross-repo collaboration with a focus on security, reliability, and maintainability.
Month: 2025-07 | Repository: DataDog/agent-linux-install-script. Key feature delivered: E2E testing now supports a dedicated TESTING_KEYS_URL for the Linux install script, enabling end-to-end validation to point to a controlled signing keys location and align with upcoming datadog-agent changes. This reduces test flakiness and ensures correct key usage in CI environments. No major bugs fixed for this repository this month. Impact: more reliable E2E validation of the install script, smoother validation of agent-related changes, and clearer traceability from tests to the signing keys workflow. Technologies/skills demonstrated: E2E testing configuration, install script integration, signing keys management, CI/test harness alignment, Git-based changes and commit tracing.
Month: 2025-07 | Repository: DataDog/agent-linux-install-script. Key feature delivered: E2E testing now supports a dedicated TESTING_KEYS_URL for the Linux install script, enabling end-to-end validation to point to a controlled signing keys location and align with upcoming datadog-agent changes. This reduces test flakiness and ensures correct key usage in CI environments. No major bugs fixed for this repository this month. Impact: more reliable E2E validation of the install script, smoother validation of agent-related changes, and clearer traceability from tests to the signing keys workflow. Technologies/skills demonstrated: E2E testing configuration, install script integration, signing keys management, CI/test harness alignment, Git-based changes and commit tracing.
April 2025 (2025-04) monthly summary for DataDog/datadog-agent focusing on test infrastructure improvements and reliability enhancements. Delivered features to parallelize unit tests and make retry logic configurable, improving feedback loops and test stability. Work aligns with performance and quality goals, delivering business value through faster releases and more reliable tests.
April 2025 (2025-04) monthly summary for DataDog/datadog-agent focusing on test infrastructure improvements and reliability enhancements. Delivered features to parallelize unit tests and make retry logic configurable, improving feedback loops and test stability. Work aligns with performance and quality goals, delivering business value through faster releases and more reliable tests.
Month 2025-03: Focused on consolidating and hardening the Datadog-Agent CI/CD pipeline and build system, delivering a simpler, more reliable and faster release process. Improvements reduce maintenance burden and improve cross-platform parity, enabling faster feedback and more stable releases.
Month 2025-03: Focused on consolidating and hardening the Datadog-Agent CI/CD pipeline and build system, delivering a simpler, more reliable and faster release process. Improvements reduce maintenance burden and improve cross-platform parity, enabling faster feedback and more stable releases.
February 2025: Key deliverables in DataDog/datadog-agent-buildimages include upgrading devcontainer CMake to 3.30.2 for Python 3.12 detection with architecture-specific binaries and SHA256 verification, and modernizing CI/CD by removing Windows Server 1809 builds/releases in favor of Windows Server 2022. These changes improve runtime compatibility, security posture, and pipeline efficiency, enabling faster releases with less manual intervention. Overall impact includes improved developer experience, more reliable image builds, and clearer upgrade paths. Technologies demonstrated include CMake, devcontainer tooling, Python 3.12 compatibility, Windows Server 2022, CI/CD pipelines, and Dockerfile updates.
February 2025: Key deliverables in DataDog/datadog-agent-buildimages include upgrading devcontainer CMake to 3.30.2 for Python 3.12 detection with architecture-specific binaries and SHA256 verification, and modernizing CI/CD by removing Windows Server 1809 builds/releases in favor of Windows Server 2022. These changes improve runtime compatibility, security posture, and pipeline efficiency, enabling faster releases with less manual intervention. Overall impact includes improved developer experience, more reliable image builds, and clearer upgrade paths. Technologies demonstrated include CMake, devcontainer tooling, Python 3.12 compatibility, Windows Server 2022, CI/CD pipelines, and Dockerfile updates.
January 2025 monthly summary for DataDog/datadog-agent: Delivered stability and accuracy improvements for GitLab package size checks and added CI resilience to reduce pipeline flakiness. Implemented directory size reporting using du --apparent-size for consistency, fixed ancestor selection logic in package size checks, and expanded unit tests. Updated CI configuration to allow check_pkg_size to fail on main and release branches while continuing to monitor trends, reducing non-critical pipeline failures and enabling safer main/release promotions. These changes improve reliability of package size data, shorten feedback loops, and strengthen governance around mainline deployments.
January 2025 monthly summary for DataDog/datadog-agent: Delivered stability and accuracy improvements for GitLab package size checks and added CI resilience to reduce pipeline flakiness. Implemented directory size reporting using du --apparent-size for consistency, fixed ancestor selection logic in package size checks, and expanded unit tests. Updated CI configuration to allow check_pkg_size to fail on main and release branches while continuing to monitor trends, reducing non-critical pipeline failures and enabling safer main/release promotions. These changes improve reliability of package size data, shorten feedback loops, and strengthen governance around mainline deployments.
December 2024 monthly summary for DataDog/datadog-agent focused on stability and reliability. No new features were released this month. Major bug fix addressed Postgres protocol test failures by reverting the go-sqllexer dependency from v0.0.18 back to v0.0.17 across multiple components, with updates to go.mod and go.sum. Commit: f803a52458da24266aa502d72d27dfdafdef6fcf ("Revert \"bump github.com/DataDog/go-sqllexer to v0.0.18\" (#32365)").
December 2024 monthly summary for DataDog/datadog-agent focused on stability and reliability. No new features were released this month. Major bug fix addressed Postgres protocol test failures by reverting the go-sqllexer dependency from v0.0.18 back to v0.0.17 across multiple components, with updates to go.mod and go.sum. Commit: f803a52458da24266aa502d72d27dfdafdef6fcf ("Revert \"bump github.com/DataDog/go-sqllexer to v0.0.18\" (#32365)").
November 2024 monthly summary for DataDog/datadog-agent focused on strengthening test reliability and readiness for upcoming integration updates. Key outcomes include restoring Windows end-to-end test coverage by reverting registry event type changes, updating end-to-end tests to support newer datadog-cilium integration versions, and reducing flaky-test disruption on macOS through a skip workaround. These changes reduce release risk, accelerate CI feedback, and improve overall stability.
November 2024 monthly summary for DataDog/datadog-agent focused on strengthening test reliability and readiness for upcoming integration updates. Key outcomes include restoring Windows end-to-end test coverage by reverting registry event type changes, updating end-to-end tests to support newer datadog-cilium integration versions, and reducing flaky-test disruption on macOS through a skip workaround. These changes reduce release risk, accelerate CI feedback, and improve overall stability.
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