Inside Meitu’s In‑House Log Collection System Arachnia: Design, Challenges, and Core Mechanisms

This article introduces Meitu’s self‑developed log collection system Arachnia, explaining why a custom solution was needed for massive server‑side user‑behavior logs, the key requirements such as reliability and real‑time throughput, and the core architectural mechanisms that address those challenges.

Meitu Technology
Meitu Technology
Meitu Technology
Inside Meitu’s In‑House Log Collection System Arachnia: Design, Challenges, and Core Mechanisms

Data is the foundation of any data‑driven application, and a data‑collection system must satisfy high standards for reliability, throughput, real‑time delivery, and efficient resource usage. Server‑side logs constitute a primary channel for capturing Meitu users' behavior, generating massive volumes of records across multiple business lines each day.

After evaluating the trade‑offs between existing open‑source tools and a bespoke approach, Meitu engineers built an in‑house solution named Arachnia specifically tailored to the company’s log‑processing scenario. The system addresses the stringent performance and stability requirements of Meitu’s logging pipeline.

The upcoming presentation will cover the genesis of Arachnia, the pain points that motivated its development, and the internal core implementation mechanisms that enable it to meet the demanding log‑collection needs. Slides from the talk are available for download.

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Big Datadata pipelineoperationssystem designlog collectionMeituArachnia
Meitu Technology
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Meitu Technology

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