Dexian Yi
Rust Developer at Yunshan Networks
Guangzhou City, Guangdong Province, China
Summary
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Rockstar🎓
Top SchoolDexian Yi is a systems-focused Rust developer with eight years of engineering experience and over five years specializing in backend work with Go and Python, concentrating on microservices, networking, Kubernetes, and eBPF for Linux observability and security. Currently at Yunshan Networks contributing to the deepflow eBPF observability project, he has driven protocol log unification and backend data-structure refactors that improve tracing and profiling consistency across agent and server components. He also brings recent hands-on experience with protocol analysis and WebAssembly plugins, bridging low-level packet manipulation with higher-level service instrumentation. Based in Guangzhou, Dexian blends a mechanical-and-electrical education with pragmatic cloud-native engineering, often working at the intersection of performance, observability, and security in production environments.
8 years of coding experience
1 year of employment as a software developer
mechanical and electrical, mechanical and electrical at Guangzhou Civil Aviation College
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (14)
http10
rust10
ebpf10
protobuffer9
protobuf9
postgresql9
opentelemetry8
mysql8
go7
android-volley6
android-lifecycle6
android6
android-fragments6
android-activity6
Programming languages (7)
Github contributions (5)
deepflowio/deepflow
Aug 2022 - Jan 2023
eBPF Observability - Distributed Tracing and Profiling
Role in this project:
Back-end Developer
Back-end DeveloperContributions:390 reviews, 117 commits, 317 PRs in 5 months
Contributions summary:Dexian primarily focused on unifying and modifying protocol log structures within the agent and server components of the eBPF observability project. They addressed inconsistencies in data structures, particularly for HTTP and MySQL protocols, to improve data handling and consistency across the system. The commits demonstrate a focus on back-end system integration and data structure refinement, indicating work to improve the underlying architecture. These changes impact the data sent to the server.
apmskywalkingtracingebpfobservability
qq906907952/deepflow
Aug 2022 - Dec 2023
DeepFlow is an automated observability platform for cloud-native developers.
Contributions:186 pushes, 72 branches in 1 year 4 months
service-meshcloud-native-developersobservabilitykubernetesmetrics
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