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Manbang Technology Team

Manbang Technology Team

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Recent Articles

Latest from Manbang Technology Team

26 recent articles
Manbang Technology Team
Manbang Technology Team
Oct 21, 2018 · Artificial Intelligence

AI and Deep Learning for Highway Freight Matching – Insights from QCon 2018

The article summarizes a QCon 2018 presentation by Luo Jingjia of Manbang Group, detailing how AI and deep‑learning techniques are applied to model, optimize, and recommend vehicle‑cargo matching in China’s massive highway logistics network, including data handling, neural‑network design, and practical challenges.

AIdeep learningrecommendation system
0 likes · 18 min read
AI and Deep Learning for Highway Freight Matching – Insights from QCon 2018
Manbang Technology Team
Manbang Technology Team
Oct 12, 2018 · Cloud Native

Case Study: Migrating Manbang Group’s Microservices to Kubernetes

Manbang Group transformed thousands of mixed‑deployed Java microservice instances into Docker containers managed by Kubernetes, addressing resource isolation, manual fault handling, slow rollbacks, and DEV/QA release friction while implementing load balancing, service discovery, high availability, rolling upgrades, auto‑scaling, rapid deployment, and resource limits across a multi‑cluster cloud‑native architecture.

Kubernetescloud nativecontainerization
0 likes · 14 min read
Case Study: Migrating Manbang Group’s Microservices to Kubernetes
Manbang Technology Team
Manbang Technology Team
Sep 28, 2018 · Backend Development

Global Unique Ordered ID Generation in Distributed Systems

This article presents a high-availability global unique ordered ID generation solution, Cantor, which addresses the limitations of UUIDs and auto-increment IDs in distributed systems by combining time-based and node-specific sequences for scalability and performance.

CantorGlobal ID GenerationSnowflake algorithm
0 likes · 11 min read
Global Unique Ordered ID Generation in Distributed Systems
Manbang Technology Team
Manbang Technology Team
Sep 15, 2018 · Artificial Intelligence

YMM-TECH Algorithm Competition Final: Problem Background, Evaluation Methodology, and Scoring Details

The YMM-TECH algorithm competition final, held at Nanjing University of Posts and Telecommunications, presented a logistics recommendation problem that leverages driver behavior data, evaluates solutions using ranking‑accuracy metrics with position‑weighted scores, and provides detailed formulas, examples, and data‑driven recommendations for 20 cargo items per driver.

AIRecommendationalgorithm competition
0 likes · 5 min read
YMM-TECH Algorithm Competition Final: Problem Background, Evaluation Methodology, and Scoring Details
Manbang Technology Team
Manbang Technology Team
Sep 13, 2018 · Mobile Development

Design and Implementation of a High‑Performance, High‑Availability Logging System for iOS Apps

This article describes the motivation, design choices, memory‑mapped implementation, performance evaluation, and practical lessons learned while building a lightweight, crash‑resilient logging framework for the 运满满 iOS client, highlighting its superiority over traditional file‑write approaches.

EncryptioniOSlogging
0 likes · 8 min read
Design and Implementation of a High‑Performance, High‑Availability Logging System for iOS Apps