High-Availability Log Retrieval for Mobile Debugging
The session introduces a high‑availability log retrieval platform that tackles mobile debugging challenges—device fragmentation, unstable networks, and delayed logs—by automating command dispatch, client uploads, and notifications, employing a four‑role architecture with real‑time push, fallback mechanisms, and SDKs for logging and retrieval, while planning broader app support, multi‑user tasks, and richer log types.
Technical Night School Session 9, presented by Aix and Klone, introduces a high‑availability log retrieval platform designed as a powerful tool for mobile bug investigation.
The session outlines common challenges in online environments: device fragmentation, complex network conditions, unpredictable user actions, and the difficulty of reproducing bugs due to insufficient or delayed log information.
To address these issues, a high‑availability platform is proposed, featuring workflow optimization (automatic command dispatch, client log upload, Feishu notification, one‑click download), strategy optimization (transparent task tracking, time‑range filtering, approval workflow, standardized log format), and a four‑role architecture (client, server, log platform, Alibaba Cloud storage).
Key technical details include real‑time push command delivery, fallback mechanisms when push fails, client‑side log handling, Alibaba Cloud callback for upload confirmation, and secure, time‑limited download URLs.
The platform provides two SDKs: a Log SDK for local logging and a High‑Availability SDK for log upload and retrieval. Configuration covers initialization parameters, log types, levels, custom tags (default "du_logger"), and storage policies (14‑day retention, 1 MB file size limit).
Future plans aim to extend support beyond the current "得物" app, enable multi‑user tasks, add more log categories (network, behavior), improve log visualization and filtering, and support retrieval of non‑text files such as images.
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