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
Worked on the DataDog/cilium repository to enhance the robustness and reliability of the BIG TCP feature, focusing on kernel-level compatibility and configuration safety. Leveraged Go for system programming and network programming tasks, introducing stronger validation to prevent activation in unsupported tunneling scenarios and refactoring the initialization flow for older kernel support. Implemented proactive kernel feature detection warnings and improved error handling by restoring original GSO values to maintain network stability. The work included optimizing configuration flows for reliable device detection and sanitization, resulting in reduced misconfigurations and improved deployment stability through careful system design and kernel development practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
512
Activity Months1
Your Network
354 peopleSame Organization
@isovalent.com64
Shared Repositories
290
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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