ZLog: A Comprehensive Data Collection, Reporting, and Analysis Service for Mobile and PC Platforms

In the era of data‑driven products, reliable collection, reporting, and analysis of mobile‑originated data are critical, yet existing solutions often address only single functions such as logging or event tracking, leading to complexity, instability, and limited extensibility.

ZLog is presented as a complete data‑service framework that unifies data collection, upload, processing, and analysis. It provides an Android/iOS SDK for mobile data ingestion and a PC‑front‑end visualization system with backend APIs for managing and visualizing the collected data.

The design of ZLog follows a three‑layer architecture: the low‑level SDK layer (Worker, Writer, Upload, DataMgr, Config, Context, ZLog entry), a common abstraction layer that simplifies business integration, and the business usage layer where developers invoke ZLog APIs similarly to standard logging calls. The SDK emphasizes high performance, stability, accuracy, and easy extensibility.

The PC front‑end visualization system offers configuration management, data collection and upload controls, and visual dashboards for various data services, exemplified by a full‑application log view that supports filtering, decryption, and analysis.

To validate data accuracy, ZLog’s logging service was compared against legacy systems using gray‑scale tests, demonstrating that the SDK’s DB‑based storage yields accurate and stable results across multiple keys.

Real‑world applications of ZLog include full‑app log retrieval for troubleshooting, business event tracking, device security information collection, and user‑behavior analytics. These deployments have reduced issue‑reproduction time, improved debugging efficiency, and enabled richer security and behavior insights.

In summary, ZLog delivers a relatively complete solution for data collection, reporting, processing, and analysis, supporting diverse data types and future enhancements in visualization and analytics to further boost operational efficiency.