Operations 4 min read

Building Scalable Degradation Plans: Lessons from Tong‑Cheng Yilong

At QCon Beijing 2019, senior architect Wang Junxiang shared Tong‑Cheng Yilong’s end‑to‑end degradation‑plan architecture, covering system design, data collection, metric computation, resource recovery, link‑level pre‑plan management, fault diagnosis, strategy extensibility, and high‑availability platform construction, offering practical insights for complex distributed systems.

ITFLY8 Architecture Home
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Building Scalable Degradation Plans: Lessons from Tong‑Cheng Yilong

At QCon Beijing 2019, Wang Junxiang delivered a talk titled “Degradation Plan in Tong‑Cheng Yilong’s Engineering Practice”, focusing on how to design and operate systematic degradation mechanisms in large‑scale distributed systems.

Main Content

Overall design of the degradation‑plan system.

Data collection and metric computation architecture.

Degradation‑plan governance.

Scalable design of degradation strategies.

High‑availability construction of the platform itself.

Audience Benefits

Architecture design experience and best practices for degradation systems.

Core design and experience of degradation governance, including data collection, composite metric calculation, strategy design, fault diagnosis, and pre‑plan management.

Degradation design experience in complex and variable business scenarios.

Speaker Introduction

Wang Junxiang

Senior Architect at Tong‑Cheng Yilong

Wang Junxiang is a senior architect for international flight ticket systems at Tong‑Cheng Yilong, with over ten years of software system design and development experience and extensive practice in large‑scale complex system architecture. He currently leads the overall technical architecture and development for international flight ticket services, including next‑generation search, transaction systems, development frameworks, degradation‑plan platform, recommendation engine, and machine‑learning platform.

Full presentation PPT download link:

https://qcon.infoq.cn/2019/beijing/schedule

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Distributed Systemshigh availabilitysystem reliabilitydegradation
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