Rao Chenlin
Vice President Of Product Management at LogEase
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolRao Chenlin is a seasoned technology leader with 14 years of experience building high-throughput logging, CDN and monitoring systems, now serving as Vice President of Product Management at LogEase in Beijing. He combines hands-on engineering—tuning rsyslog for 1.5M lines/sec, operating Elasticsearch over 10 billion events/day, and contributing plugins like mmgrok and MaxMindDB to the rsyslog project—with product strategy and team coaching. His background spans systems architecture, DevOps automation, and large-scale performance testing across major Chinese internet companies including Weibo and Renren. Rao pairs practical low-level optimization (Nginx, NetApp, kernel cgroups) with product-minded tooling (Puppet orchestration, log analysis dashboards), and even writes Chinese classical poetry and technical talks, reflecting a rare blend of technical depth and cultural curiosity.
14 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Communication, General, Bachelor of Engineering (B.E.), Communication, General at Beijing Jiaotong UniversityMaster's degree, Management Science and Engineering, Master's degree, Management Science and Engineering at Renmin University of China
Github Skills (20)
json10
docker10
grok10
configuration-management10
c1110
dockers10
c1710
automation10
logging10
automations10
syslog10
perl9
kafka9
amazon-elasticsearch7
mongodb-database7
Programming languages (13)
Github contributions (5)
RexOps/Rex
Oct 2012 - Sep 2014
Rex, the friendly automation framework
Role in this project:
DevOps Engineer
DevOps EngineerContributions:6 commits, 2 comments in 1 year 11 months
Contributions summary:Rao's contributions focused on enhancing the automation capabilities of the project. They added support for executing Rexfiles, which likely involved modifying the command-line interface to support executing Rex automation scripts. They also introduced Docker support by implementing the `docker run` command within the framework, allowing for easier containerized application management. Additionally, the user made improvements to file handling and service management configurations.
automation-frameworkrexinfrastructure-as-codeinfrastructure-automationautomation
rsyslog/rsyslog
Nov 2015 - Jul 2016
High-performance log ingestion and ETL engine
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 commits, 6 PRs, 12 comments in 8 months
Contributions summary:Rao implemented new plugins and features within the rsyslog project, demonstrating a focus on extending its functionality. The contributions include a new mmgrok plugin for parsing messages into structured JSON data and an omkafka plugin with a maxoutqsize counter. Furthermore, the user introduced a new maxminddb lookup plugin for parsing IP addresses. These additions enhance rsyslog's ability to process and enrich log data.
etlloggingsyslogckafka
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