DataDog/cilium
Jan 2026 – Jan 2026
1 Month active
Languages Used
Go
Technical Skills
Goerror handlingkernel developmentnetwork programmingsystem configurationsystem design
Alice Mikityanska
PROFILE
Alice Mikityanska
Alice contributed to the DataDog/cilium repository by enhancing the robustness and reliability of the BIG TCP feature. She focused on kernel development and network programming in Go, introducing stronger configuration validation and improving the initialization flow to support older kernels. Her work included surfacing kernel feature detection issues early, preventing activation in incompatible tunneling scenarios, and ensuring that device GSO values were safely restored on errors. By refactoring the configuration flow and overhauling initialization, Alice reduced the risk of misconfiguration and improved deployment stability. The depth of her engineering addressed both compatibility and operational safety at the kernel level.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
512
Activity Months1
Your Network
328 people
Work History
January 2026
5 Commits • 1 Features
Jan 1, 2026DataDog/cilium — January 2026: Delivered targeted hardening and reliability improvements for the BIG TCP feature, with stronger configuration validation, kernel feature handling, and initialization flow to support older kernels. Key outcomes include preventing activation in incompatible tunneling configurations, surfacing kernel feature detection issues early, and ensuring safe GSO handling on errors. The work reduces misconfigurations, improves stability in deployments, and demonstrates robust kernel-level coding and configuration management.
5 Commits • 1 Features
Jan 1, 2026DataDog/cilium — January 2026: Delivered targeted hardening and reliability improvements for the BIG TCP feature, with stronger configuration validation, kernel feature handling, and initialization flow to support older kernels. Key outcomes include preventing activation in incompatible tunneling configurations, surfacing kernel feature detection issues early, and ensuring safe GSO handling on errors. The work reduces misconfigurations, improves stability in deployments, and demonstrates robust kernel-level coding and configuration management.
January 2026
Activity
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Quality Metrics
Correctness84.0%
Maintainability80.0%
Architecture84.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Go
Technical Skills
Goerror handlingkernel developmentnetwork programmingsystem configurationsystem designsystem programming
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