Worked on the microsoft/retina repository to deliver scalable runtime configurability for eBPF filter maps in Kubernetes environments. Developed a feature enabling dynamic adjustment of the filter map’s maximum entries through Helm values or environment variables, supporting large cluster deployments without breaking existing behavior. The implementation involved extending configuration and initialization paths in Go, updating Helm chart templates, and ensuring compatibility across amd64 and arm64 architectures. Windows stubs were also updated to match new function signatures. Comprehensive local testing and enhanced observability through improved logging ensured robust deployment reliability, while documentation and testing practices were strengthened to support ongoing maintainability.