Tagged articles

19 articles

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Nov 23, 2022 · Big Data

Real-time Log Aggregation and Monitoring with Blink (Flink) on Mobile Endpoints

The article explains how Blink, Alibaba’s optimized Flink variant, uses dynamic tables and streaming‑SQL to ingest mobile telemetry via source tables, compute per‑minute metrics such as API success rates with tumbling windows, and write results to Alibaba Cloud Log Service, enabling real‑time dashboards and extensible use cases like fraud detection.

FlinkReal-time StreamingSQL

0 likes · 10 min read

Real-time Log Aggregation and Monitoring with Blink (Flink) on Mobile Endpoints

Dada Group Technology

Sep 23, 2022 · Backend Development

Design and Implementation of a New Event‑Tracking Framework for Dada Delivery

The document describes the background, problems, design goals, architecture, core mechanisms, and achieved results of a rebuilt event‑tracking SDK that separates collection, storage, and reporting into independent modules, uses single‑thread pools, and attains over 99% reporting success while improving portability across apps.

Backend ArchitectureData ReportingSDK

0 likes · 9 min read

Design and Implementation of a New Event‑Tracking Framework for Dada Delivery

NetEase Cloud Music Tech Team

Sep 14, 2022 · Mobile Development

Building a High‑Precision Full‑Chain Event Tracking System for Mobile Apps

This article presents a comprehensive, high‑precision, stable, and full‑link event tracking solution for iOS, Android, and H5 clients, detailing the shortcomings of traditional point‑tracking, the design of objects and a virtual tree (VTree), AOP‑based click handling, exposure tracking via VTree diffs, performance optimizations, refer‑based link tracing, and integration with H5/RN, all validated in the NetEase Cloud Music ecosystem.

AndroidFull‑Link TracingPerformance Optimization

0 likes · 24 min read

Building a High‑Precision Full‑Chain Event Tracking System for Mobile Apps

HomeTech

Aug 30, 2022 · Big Data

Real‑time Data Collection SDK Visualization: Architecture, Implementation and Usage Guide

This article introduces a data‑collection SDK with a real‑time visualization feature, explains the shortcomings of traditional packet‑capture and log‑based methods, describes the underlying architecture—including a new SDK entry, encrypted reporting, WebSocket communication and Elasticsearch storage—and provides step‑by‑step usage instructions for developers.

ElasticsearchWebSocketdata collection

0 likes · 8 min read

Real‑time Data Collection SDK Visualization: Architecture, Implementation and Usage Guide

Dada Group Technology

Jun 15, 2022 · Mobile Development

Design and Implementation of JD Daojia Precise Exposure Tracking System

This document details the background, architecture, new precise exposure system, technical challenges, iOS implementation, visualization tools, and achieved results of JD Daojia's mobile data‑tracking platform, highlighting how a three‑layer design and automated validation improve accuracy, reduce development cost, and streamline testing.

Exposure TrackingSystem Architecturedata validation

0 likes · 17 min read

Design and Implementation of JD Daojia Precise Exposure Tracking System

Sohu Tech Products

Nov 10, 2021 · Mobile Development

Implementing Event Tracking (埋点) in iOS Clients: Concepts, Approaches, and Code Samples

This article explains the fundamentals of event tracking in iOS apps, compares server‑side and client‑side tracking, details three implementation strategies (code‑based, non‑intrusive, and visual), introduces a data classification scheme, and provides Swift code examples—including enums, protocols, a chain‑based data‑passing mechanism, and runtime method‑hooking techniques—while also discussing practical challenges and best‑practice recommendations.

Method SwizzlingSwiftdata-passing

0 likes · 22 min read

Implementing Event Tracking (埋点) in iOS Clients: Concepts, Approaches, and Code Samples

Didi Tech

Dec 8, 2020 · Mobile Development

How Xiaoju Prism Transforms Mobile App Behavior Tracking, Replay, and Detection

This article introduces Xiaoju Prism, a mobile‑focused tool that offers zero‑intrusion instrumentation, comprehensive data visualization, command‑driven operation replay, and real‑time behavior detection, detailing its three‑part architecture, implementation strategies, platform support, and open‑source repository.

DSLDiDiPrismbehavior detection

0 likes · 11 min read

How Xiaoju Prism Transforms Mobile App Behavior Tracking, Replay, and Detection

Zhengtong Technical Team

Oct 27, 2020 · Mobile Development

Implementing Mobile Data Collection and Analytics with Countly: Architecture, Customization, and Insights

This article outlines how to design and implement a comprehensive mobile data collection and analysis system using the open‑source Countly platform, covering background requirements, solution selection, architecture, customizations for client, server and dashboard, SDK integration for Android and H5, and practical data mining insights.

Android SDKCountlyH5 SDK

0 likes · 11 min read

Implementing Mobile Data Collection and Analytics with Countly: Architecture, Customization, and Insights

NetEase Yanxuan Technology Product Team

Oct 23, 2020 · Industry Insights

How NetEase Yanxuan Built a Scalable Data Product System: Lessons & Practices

This article details NetEase Yanxuan's four‑stage journey—from establishing a business‑centric BI platform to ensuring data quality, empowering CXOs with mobile dashboards, and delivering scenario‑specific data products—highlighting the challenges faced, technical solutions implemented, and key takeaways for building enterprise data products.

BI platformData ProductData Quality

0 likes · 18 min read

How NetEase Yanxuan Built a Scalable Data Product System: Lessons & Practices

58 Tech

Apr 24, 2020 · Mobile Development

magpie_log – A Flutter‑Based Cross‑Platform Visual Event Tracking Solution

magpie_log is an open‑source, Flutter‑based cross‑platform visual event‑tracking solution that replaces manual, tightly coupled instrumentation by providing automated, parameterized, visualizable logging through Redux action interception, Navigator hooks, setState interception, and manual APIs, with configurable reporting and seamless integration for both pure Flutter and hybrid apps.

FlutterReduxevent tracking

0 likes · 10 min read

magpie_log – A Flutter‑Based Cross‑Platform Visual Event Tracking Solution

Mafengwo Technology

Aug 23, 2019 · Mobile Development

Boost App Activation Accuracy with Clipboard-Based Attribution

The article examines common app activation attribution methods—device ID, channel ID, and IP+UA—highlighting their limitations, and introduces a clipboard‑based unique identifier solution that improves attribution precision for HTML5 and WAP ad placements, especially when device IDs are unavailable.

app attributionclipboard identifiermarketing measurement

0 likes · 11 min read

Boost App Activation Accuracy with Clipboard-Based Attribution

Alibaba Cloud Developer

Aug 12, 2019 · Mobile Development

How to Achieve High‑Accuracy User Behavior Tracking in Flutter

This article explains how the Xianyu team migrated from native to Flutter and built a high‑accuracy user‑behavior tracking solution, covering page entry/exit detection, exposure calculations, click handling, code snippets, and future improvements for reliable analytics in mobile apps.

Exposure DetectionFlutterUser Behavior Tracking

0 likes · 9 min read

How to Achieve High‑Accuracy User Behavior Tracking in Flutter

AntTech

Mar 26, 2019 · Mobile Development

The Evolution and Intelligent Roadmap of Alibaba's Mobile Development Platform mPaaS

At the 2019 Alibaba Cloud Summit, Ant Financial expert Fu Haitao detailed the evolution of the mobile development platform mPaaS—from its 1.0 financial‑grade start through 2.0’s digital‑transformation tools to the AI‑driven 3.0 product system—highlighting integrated intelligent scenarios such as smart prediction, AB testing, and personalized delivery.

AIAlibaba CloudMobile Development

0 likes · 10 min read

The Evolution and Intelligent Roadmap of Alibaba's Mobile Development Platform mPaaS

JD Tech

May 14, 2018 · Mobile Development

Exploring iOS Automated Visual Event Tracking (埋点) – Technical Overview

This article examines the challenges and solutions of implementing automated visual event tracking (埋点) in iOS applications, covering background, existing methods, the proposed visual tracking architecture, unique identifier generation, data payload handling, version management, and future considerations for improving development efficiency.

AutomationSDKevent tracking

0 likes · 19 min read

Exploring iOS Automated Visual Event Tracking (埋点) – Technical Overview

JD Retail Technology

May 11, 2018 · Mobile Development

Exploring Automated Visual Event Tracking (埋点) for iOS Applications

This article examines the challenges of traditional code‑based event tracking in iOS, compares code, visual, and no‑tracking approaches, and presents a visual‑tracking solution that uses AOP, unique identifiers, data‑carrying protocols, and version management to improve automation and maintainability.

Automationaopevent tracking

0 likes · 18 min read

Exploring Automated Visual Event Tracking (埋点) for iOS Applications

网易UEDC

Apr 28, 2017 · Mobile Development

Designing Mobile Data Visualization: From Web to Handheld Screens

This article explores the challenges and strategies of migrating web‑based data analysis tools to mobile devices, covering user targeting, module selection, interaction redesign, and visual component adaptation to create effective, lightweight mobile dashboards for B2B users.

DashboardInteraction DesignUX

0 likes · 13 min read

Designing Mobile Data Visualization: From Web to Handheld Screens

ITFLY8 Architecture Home

Dec 13, 2016 · Big Data

Umeng’s Mobile Big Data Platform: Architecture, Challenges & Insights

The article details Umeng’s mobile big‑data platform architecture, describing its Lambda‑style hybrid design, data ingestion pipeline with dual Kafka clusters, offline and real‑time processing using Hadoop, Spark, Storm, and storage layers such as HDFS, HBase, MongoDB and Elasticsearch, while also discussing challenges in data collection, cleaning, computation, security, and value‑added services.

Data ArchitectureHadoopKafka

0 likes · 13 min read

Umeng’s Mobile Big Data Platform: Architecture, Challenges & Insights

Qunar Tech Salon

Sep 13, 2016 · Mobile Development

QACR Crash Reporting System Architecture and Features

The article details the evolution, challenges, architecture, and key functionalities of QACR—a large‑scale crash reporting system for Android applications—covering client SDK encryption, backend processing, front‑end dashboards, recent update plans, and quick integration guidance.

Android SDKCrash ReportingQACR

0 likes · 5 min read

QACR Crash Reporting System Architecture and Features

Art of Distributed System Architecture Design

Jun 15, 2015 · Big Data

Designing a Scalable Real‑Time Mobile Analytics Platform with Kafka, Storm, and Amazon EMR

The article describes how a mobile analytics service processes billions of events daily using a Lambda‑style architecture that combines Kafka, Storm, Amazon EMR, and S3 to achieve scalable, fault‑tolerant batch and real‑time computation, while ensuring reliable event ingestion and graceful degradation.

AWSBig DataKafka

0 likes · 8 min read

Designing a Scalable Real‑Time Mobile Analytics Platform with Kafka, Storm, and Amazon EMR