Funan Wang
Software Engineer @ BottleNetes | JavaScript, Python, React, Kubernetes, AWS
- Role
- Software Engineer at Bottlenetes
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Funan Wang
I’m a software engineer experienced in Python, JavaScript (ES6+), TypeScript, React…
Experience
Software Engineer
Jan 2024 — Present
Created the Kubernetes Orchestration Platform using Node.js v22, TypeScript, and Express to manage containerized applications with essential configurations (service monitors, config maps, secrets, Ingress, NodePorts), enabling real-time performance insights, resource allocation recommendation, and allowing users to perform common DevOps operations on each pod directly via the UI by leveraging the Kubernetes core API, providing a unified platform for multi-level visibility, easy bottleneck detection, and intuitive hands-on management- Established pod metric visualization by integrating Prometheus for complex PromQL queries and Chart.js, enabling precise monitoring of critical performance data to drive data-driven decisions and improve operational efficiency- Implemented an Istio service mesh with sidecar injection to capture granular, request-level latencies beyond native Kubernetes/Prometheus limits, facilitating quicker identification and mitigation of microservice bottlenecks for improved user experience and higher resilience- Engineered a one-command Bash “quickstart” script to provision a Kubernetes environment—installing prerequisites, spinning up a cluster, deploying services and a test app, and generating synthetic traffic—dramatically reducing setup time and easing new-user onboarding- Developed a React-based interface using advanced Hooks (useMemo, useRef, useContext, and custom hooks) to manage a wide range of rapidly updating metrics (real-time vs. historical) across multiple pods, delivering intuitive dashboards that facilitate early performance anomaly detection and seamless user interaction- Developed the “Core DevOps Management REST API” via an Express server with modular routers and middleware chaining for non-blocking I/O. Facilitated scalable data ingestion from Prometheus and direct Kubernetes pod management, streamlining the monitoring pipeline.
Education
University of Alberta
Bsc
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