Liu Yalong - Play Computer at Tencent

Liu Yalong

Play Computer at Tencent

Shaanxi, China

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Summary

🤩

Rockstar

Liu Yalong is a back-end-focused software engineer with five years of experience, currently building systems at Tencent from Shaanxi, China. He contributes actively to high-profile open-source projects like Alluxio and Apache Ratis, improving system monitoring, stability, and Raft consensus operations. His work spans core server logic, shell/client features, and production observability—implementing metrics for JVM pauses, OS monitoring, audit logs, and leader election controls. Colleagues rely on him for pragmatic fixes that surface in UI pages and operational dashboards as well as for adding commands that simplify cluster maintenance. He brings a practical systems-thinking approach that balances low-level protocol correctness with operator-friendly tooling.

5 years of coding experience

Github Skills (15)

javas10

orchestrate10

orchestration10

alluxio10

leader-election10

java10

system-monitoring9

backend9

metric9

consensus9

rest-api8

api-rest8

data-analysis8

restful-api8

api-design8

Programming languages (2)

JavaShell

Github contributions (5)

apache/ratis

Nov 2021 - Jan 2023

Open source Java implementation for Raft consensus protocol.

Role in this project:

Back-end Developer

Contributions:197 reviews, 80 commits, 96 PRs in 1 year 2 months

Contributions summary:Liu primarily contributed to the Apache Ratis project by adding new features and enhancing existing functionalities related to the Raft consensus protocol. Their work included implementing commands within the ratis-shell for setting server priorities, adding and removing peers, and taking snapshots. Furthermore, they updated leader election metrics and added a new command to step down the leader. The user's commits involved core server logic and client interaction with the Raft consensus protocol.

raft-consensusraft-consensus-algorithmconsensus-protocolconsensuspaxos

Alluxio/alluxio

Apr 2021 - Jan 2023

Alluxio, data orchestration for analytics and machine learning in the cloud

Role in this project:

Back-end Developer

Contributions:47 reviews, 30 commits, 44 PRs in 1 year 8 months

Contributions summary:Liu made multiple contributions to the Alluxio project, primarily focused on enhancing core functionalities. This included fixing shell command behavior, adding properties to the MountTable page, and integrating containerHost information into the worker page. Additionally, the user implemented metrics for log analysis, job success/failure tracking, JVM pause monitoring, operating system monitoring, journal sequence number tracking, and audit log analysis. These contributions indicate a focus on system monitoring, stability, and enhancing the functionality of Alluxio.

data-analysisvirtual-distributed-filesystemanalyticsorchestrationdata-science

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