Ling Huang
Technical Lead at Google
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolLing Huang is a Technical Lead with 11 years of experience building and operating large-scale telemetry and storage systems for Google Cloud, now leading persistent storage development for Monarch, Google's globally-distributed time-series database. She combines deep systems and DevOps experience—demonstrated by contributions improving the reliability of the widely used fluentd Kubernetes metadata plugin—with a track record of designing scalable telemetry pipelines for logs, metrics, and traces. Known for strong communication and people leadership, she fosters high-performing teams that prioritize reliability and observability at cloud scale. Trained at Columbia Engineering and Beihang University, she blends rigorous academic grounding with hands-on production engineering across both startup and hyperscale environments.
11 years of coding experience
11 years of employment as a software developer
Bachelor Information system, Bachelor Information system at Beihang UniversityMaster Computer Science, Master Computer Science at Columbia Engineering
Github Skills (8)
kubernetes10
fluentd10
cicd10
kubernetes-pods10
dockers9
docker9
test-automation8
ruby7
Programming languages (11)
Github contributions (5)
fabric8io/fluent-plugin-kubernetes_metadata_filter
Jan 2020 - Mar 2020
Enrich your fluentd events with Kubernetes metadata
Role in this project:
DevOps Engineer
DevOps EngineerContributions:4 reviews, 6 commits, 6 PRs in 2 months
Contributions summary:Ling focused on improving the reliability and stability of the `fluent-plugin-kubernetes_metadata_filter` plugin. Their work included fixing CircleCI tests, updating package repository URLs, and addressing issues with Kubernetes namespace and pod watches. They implemented retry logic for Kubernetes API connection failures and reset retry counts upon successful events. The user also added tests to ensure the robustness of the watch mechanisms.
eventsfluentdkubernetesmetadataenrich
qingling128/omnibus-software
Nov 2016 - Jul 2022
Open Source Software for use in Omnibus built packages
Contributions:4 pushes, 1 branch in 5 years 9 months
omnibusopen-source-software
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