Fuling Lgz

技术专家 at 阿里巴巴

Hangzhou City, Zhejiang, China
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Summary

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Rockstar
🎓
Top School
Fuling Lgz is a technical expert with 11 years’ experience building cloud-native monitoring middleware at Alibaba, specializing in observability for logs, traces and metrics. He is an active open-source maintainer on Grafana Loki and contributor to Prometheus, having implemented features like an LRU label parser cache, unwrapped rate extrapolation in the query engine, and fixes for goroutine leaks and S3 retries. Comfortable operating large fleets (20+ clusters) as an SRE, he focuses on robust, concurrent storage and service-discovery improvements that keep production systems resilient. With a mathematics degree and a developer mindset, he blends rigorous problem-solving with hands-on backend engineering to deliver scalable monitoring solutions.
code11 years of coding experience
job1 year of employment as a software developer
book学士, Mathematics, 学士, Mathematics at 福建农林大学
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Github Skills (17)

monitoring10
kubernetes10
filesystem10
back-end-development10
testing10
storage10
time-series10
go10
prometheus10
kubernetes-pods10
backend10
alerts9
caching9
alertview9
alertdialog9

Programming languages (6)

TypeScriptDockerfileJavaC++JavaScriptGo

Github contributions (5)

github-logo-circle
grafana/loki

Jan 2021 - Jan 2023

Like Prometheus, but for logs.
Role in this project:
userBack-end Developer
Contributions:152 reviews, 44 commits, 88 PRs in 2 years
Contributions summary:Fuling contributed to the Loki project by implementing improvements to the distributor component, specifically adding an LRU cache for parsing labels in LogQL. They also introduced a new feature to the query engine by extrapolating the unwrapped rate function, which included extensive code changes in the testing framework. Furthermore, the user addressed a goroutine leak issue within the distributor and added a retry mechanism for S3 object retrieval.
logginglokigrafanaprometheuscloudnative
prometheus/prometheus

Aug 2019 - Feb 2021

The Prometheus monitoring system and time series database.
Role in this project:
userBack-end Developer
Contributions:11 reviews, 17 commits, 83 PRs in 1 year 5 months
Contributions summary:Fuling primarily contributed to bug fixes and enhancements within the Prometheus monitoring system. Their work included addressing issues in the custom service discovery components, and optimizing storage-related functionalities, focusing on concurrent operations. They also refactored and improved the codebase through format corrections and code cleanup, adding features to support the kubernetes service discovery.
time-series-databaseprometheus-exporterseries-databasealertingdatabase
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Fuling Lgz - 技术专家 at 阿里巴巴