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APM

170 articles · Page 2 of 2
Code Ape Tech Column
Code Ape Tech Column
Jun 29, 2021 · Industry Insights

Which Distributed Tracing Tool Wins? A Deep Dive into Dapper, Zipkin, Pinpoint, and SkyWalking

This article examines the challenges of monitoring complex micro‑service architectures, outlines the objectives of full‑link tracing, explains the Span/Trace data model, describes core functional modules, and provides a detailed performance and feature comparison of Google Dapper, Zipkin, Pinpoint, and SkyWalking.

APMDistributed TracingFull‑Link Monitoring
0 likes · 22 min read
Which Distributed Tracing Tool Wins? A Deep Dive into Dapper, Zipkin, Pinpoint, and SkyWalking
ByteDance Terminal Technology
ByteDance Terminal Technology
Jun 1, 2021 · Frontend Development

Background and Problem Localization

The article discusses identifying and resolving ImageIO-related crash issues in iOS applications, particularly those occurring after iOS 14 updates, by analyzing crash logs and system behavior.

APMImage processingImageIO
0 likes · 6 min read
Background and Problem Localization
New Oriental Technology
New Oriental Technology
May 24, 2021 · Operations

Overview of SkyWalking UI: Dashboard, Topology, Tracing, Profiling, and Alerts

The article provides a comprehensive English overview of SkyWalking UI, detailing its dashboard metrics, topology visualization, trace analysis, performance profiling workflow, and alarm management, illustrating how the tool monitors microservice and cloud‑native environments with metrics such as throughput, latency, Apdex, and JVM statistics.

APMDistributed TracingObservability
0 likes · 11 min read
Overview of SkyWalking UI: Dashboard, Topology, Tracing, Profiling, and Alerts
Baidu Geek Talk
Baidu Geek Talk
Apr 26, 2021 · Cloud Native

Evolution and Architecture of Baidu's Fengjing APM System

From its 2016 debut to the present, Baidu’s Fengjing APM system has evolved through four major releases—moving from invasive jar‑based probes to non‑invasive bytecode agents, adding modular hot‑swap plugins, scaling to thousands of containers, handling billions of daily metrics via Kafka, Doris, and SIA TSDB, while solving probe upgrade downtime, data‑ingestion volume, and call‑graph query latency.

APMDistributed TracingJava
0 likes · 9 min read
Evolution and Architecture of Baidu's Fengjing APM System
Code Ape Tech Column
Code Ape Tech Column
Apr 12, 2021 · Operations

Which APM Tool Wins? Deep Dive into Zipkin, Pinpoint, and SkyWalking

With micro‑service architectures generating complex call chains across thousands of servers, this article analyzes full‑link monitoring concepts, outlines essential requirements, details core components like spans and traces, and compares three major APM solutions—Zipkin, Pinpoint, and SkyWalking—evaluating probe impact, scalability, and data analysis capabilities.

APMDapperDistributed Tracing
0 likes · 26 min read
Which APM Tool Wins? Deep Dive into Zipkin, Pinpoint, and SkyWalking
Youzan Coder
Youzan Coder
Apr 7, 2021 · Mobile Development

Design and Implementation of a Mobile App Performance Monitoring System

The article describes a two‑part mobile app performance monitoring system that automatically instruments code to capture method execution times, ANR and frame stalls, then processes, cleans, aggregates, and visualizes the data on a backend platform to generate alerts, trend reports, and guide optimization across versions.

APMMobile AppOptimization
0 likes · 11 min read
Design and Implementation of a Mobile App Performance Monitoring System
Alibaba Cloud Native
Alibaba Cloud Native
Apr 1, 2021 · Cloud Native

Why Observability Is the Next Frontier for Serverless Computing

The article explains how Serverless is becoming the default cloud programming model, outlines the observability challenges it introduces, and details Alibaba Cloud Function Compute's evolution from basic logging to a comprehensive, open‑source‑compatible monitoring platform.

APMFunction ComputeOpenTracing
0 likes · 12 min read
Why Observability Is the Next Frontier for Serverless Computing
Tencent Cloud Middleware
Tencent Cloud Middleware
Mar 26, 2021 · Cloud Native

How Tencent Leverages SkyWalking for Full‑Stack Microservice Observability

Facing challenges of distributed microservice architectures, Tencent’s Smart Retail team built a full‑link performance monitoring platform using Apache SkyWalking and the cloud‑native TSW service, detailing architecture, agent integration, deployment steps, and performance impact to guide similar observability implementations.

APMKubernetesSkyWalking
0 likes · 9 min read
How Tencent Leverages SkyWalking for Full‑Stack Microservice Observability
Top Architect
Top Architect
Mar 16, 2021 · Operations

Full-Link Monitoring: Concepts, Architecture, and Comparison of Zipkin, SkyWalking, and Pinpoint

This article explains the fundamentals of full‑link (distributed) monitoring, describes its core components such as spans, traces and annotations, outlines typical system architecture, and provides a detailed performance and feature comparison of three popular APM solutions—Zipkin, SkyWalking, and Pinpoint.

APMDistributed TracingFull‑Link Monitoring
0 likes · 22 min read
Full-Link Monitoring: Concepts, Architecture, and Comparison of Zipkin, SkyWalking, and Pinpoint
Architect
Architect
Mar 9, 2021 · Operations

Full‑Stack Distributed Tracing and Monitoring: Comparing Zipkin, Pinpoint, and SkyWalking

The article explains the need for full‑link monitoring in micro‑service architectures, describes the core concepts of tracing such as spans and traces, outlines functional modules of APM systems, and provides a detailed comparison of three popular solutions—Zipkin, Pinpoint, and SkyWalking—covering performance impact, scalability, data analysis, developer transparency, and topology visualization.

APMDistributed TracingPinpoint
0 likes · 27 min read
Full‑Stack Distributed Tracing and Monitoring: Comparing Zipkin, Pinpoint, and SkyWalking
Architecture Digest
Architecture Digest
Mar 7, 2021 · Operations

Full‑Link Monitoring: Concepts, Requirements, Architecture and Comparative Evaluation of APM Solutions

The article explains the need for full‑link monitoring in microservice architectures, outlines its functional modules and design goals, details the core data structures of Google Dapper (Span, Trace, Annotation) with code examples, and compares three popular APM tools—Zipkin, Pinpoint and SkyWalking—across performance, scalability, analysis depth, transparency and topology features.

APMDistributed TracingPinpoint
0 likes · 25 min read
Full‑Link Monitoring: Concepts, Requirements, Architecture and Comparative Evaluation of APM Solutions
Sohu Tech Products
Sohu Tech Products
Mar 3, 2021 · Operations

Comprehensive Comparison of Full‑Link Tracing Solutions: Zipkin, SkyWalking, and Pinpoint

This article examines the challenges of monitoring distributed micro‑service architectures, outlines the requirements for a low‑overhead, non‑intrusive tracing system, describes the core concepts of Google Dapper (Span, Trace, Annotation), and provides a detailed functional and performance comparison of three popular APM tools—Zipkin, SkyWalking, and Pinpoint—covering probe impact, collector scalability, data analysis depth, developer transparency, topology visualization, and overall suitability.

APMDistributed TracingPinpoint
0 likes · 23 min read
Comprehensive Comparison of Full‑Link Tracing Solutions: Zipkin, SkyWalking, and Pinpoint
Youzan Coder
Youzan Coder
Feb 24, 2021 · Mobile Development

Building Offline Mobile Performance Monitoring with AWACS and APM

This article explains how Youzan extended its APM framework with offline monitoring, built the AWACS visual tool, integrated Appium‑driven regression, instrumented method timing and network traffic via Gradle plugins, captured page rendering time, processed data in the backend, and created an issue‑management platform, outlining future enhancements.

APMAndroidAutomation testing
0 likes · 13 min read
Building Offline Mobile Performance Monitoring with AWACS and APM
MaGe Linux Operations
MaGe Linux Operations
Feb 13, 2021 · Operations

Comparing Full‑Link Tracing Tools: Zipkin vs Pinpoint vs SkyWalking

This article examines the challenges of monitoring distributed micro‑service architectures, outlines the requirements for a full‑link tracing system, and provides a detailed comparison of three popular APM solutions—Zipkin, Pinpoint, and SkyWalking—covering performance impact, scalability, data analysis, developer transparency, and topology visualization.

APMDistributed TracingFull‑Link Monitoring
0 likes · 28 min read
Comparing Full‑Link Tracing Tools: Zipkin vs Pinpoint vs SkyWalking
Full-Stack DevOps & Kubernetes
Full-Stack DevOps & Kubernetes
Jan 30, 2021 · Operations

How to Choose the Right Full‑Link Tracing Tool: Zipkin vs Pinpoint vs SkyWalking

This article explains the background of full‑link monitoring in micro‑service architectures, outlines the key requirements for tracing tools, describes core concepts such as spans, traces and annotations, compares Zipkin, Pinpoint and SkyWalking across performance, scalability, data analysis, transparency and topology features, and provides practical deployment guidance to help you select the most suitable solution.

APMDistributed TracingFull‑Link Monitoring
0 likes · 28 min read
How to Choose the Right Full‑Link Tracing Tool: Zipkin vs Pinpoint vs SkyWalking
Efficient Ops
Efficient Ops
Jan 26, 2021 · Operations

How Full‑Link Tracing Tools Compare: Zipkin vs SkyWalking vs Pinpoint

This article examines the challenges of monitoring complex micro‑service architectures, outlines the goals and functional modules of full‑link tracing systems, explains Google Dapper’s core concepts such as Span, Trace and Annotation, and provides a detailed performance, scalability and feature comparison of three popular APM solutions—Zipkin, SkyWalking and Pinpoint.

APMDistributed TracingFull‑Link Monitoring
0 likes · 25 min read
How Full‑Link Tracing Tools Compare: Zipkin vs SkyWalking vs Pinpoint
Architecture Digest
Architecture Digest
Jan 17, 2021 · Operations

System Performance Issue Analysis and Optimization Process

This article outlines a comprehensive process for diagnosing and optimizing performance problems in production business systems, covering hardware, OS, database, middleware, JVM tuning, code inefficiencies, monitoring tools, and the limitations of pre‑release testing, with practical guidelines and visual references.

APMDatabase TuningPerformance
0 likes · 16 min read
System Performance Issue Analysis and Optimization Process
ITPUB
ITPUB
Jan 13, 2021 · Operations

How to Diagnose and Optimize Business System Performance Issues

This article outlines a step‑by‑step approach for identifying root causes of performance bottlenecks in production business systems, covering common scenarios such as high concurrency, data growth, hardware limits, database and middleware tuning, code inefficiencies, and the role of monitoring and APM tools.

APMDatabase TuningJVM
0 likes · 15 min read
How to Diagnose and Optimize Business System Performance Issues
Programmer DD
Programmer DD
Dec 9, 2020 · Operations

Step-by-Step Guide to Installing Apache SkyWalking with Elasticsearch and InfluxDB

This tutorial walks through installing and configuring Apache SkyWalking, an open‑source APM system for micro‑services and cloud‑native environments, covering its architecture, Elasticsearch and InfluxDB storage setup, agent deployment, service startup, alarm integration, and essential documentation links.

APMDockerElasticsearch
0 likes · 12 min read
Step-by-Step Guide to Installing Apache SkyWalking with Elasticsearch and InfluxDB
High Availability Architecture
High Availability Architecture
Nov 23, 2020 · Mobile Development

Design and Optimization of iQIYI Mobile APM Network Monitoring System

This article details the background, system design, and successive optimizations of iQIYI's mobile Application Performance Monitoring (APM) network monitoring solution, covering SDK and backend architecture, DNS and weak‑network enhancements, gateway strategies, retry mechanisms, and the resulting significant reduction in error rates.

APMMobile DevelopmentNetwork Monitoring
0 likes · 10 min read
Design and Optimization of iQIYI Mobile APM Network Monitoring System
iQIYI Technical Product Team
iQIYI Technical Product Team
Oct 30, 2020 · Mobile Development

Design and Optimization of iQIYI Mobile APM Network Monitoring System

The iQIYI mobile APM system provides real‑time, user‑level network monitoring with classified error detection, cloud‑controlled SDK sampling, second‑level backend storage, and web dashboards, while employing DNS three‑layer caching, weak‑network grading, gateway multiplexing, super‑pipeline proxies and layered retry strategies, reducing Android error rates from 5.3 % to 0.48 % and iOS from 4.63 % to 0.35 %.

APMDNSMobile Development
0 likes · 11 min read
Design and Optimization of iQIYI Mobile APM Network Monitoring System
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Sep 25, 2020 · Operations

Low‑Cost Exception Monitoring Strategies for Startup Teams

The article explains how newly founded development teams can implement inexpensive, real‑time exception monitoring using manual instrumentation, asynchronous alerting, unified log collection, and open‑source APM tools, providing practical code examples and guidance on essential alert information.

APMException Monitoringlow cost
0 likes · 8 min read
Low‑Cost Exception Monitoring Strategies for Startup Teams
IT Architects Alliance
IT Architects Alliance
Sep 14, 2020 · Operations

Implementation of Service Chain Monitoring and End-to-End Process Monitoring

This article explains how to design and implement service‑chain (APM) monitoring and end‑to‑end process monitoring in distributed systems, covering concepts such as spans and traces, TRACE_ID generation, logging practices, visualisation techniques, and a practical expense‑report use case with code examples.

APMDistributed TracingOperations
0 likes · 15 min read
Implementation of Service Chain Monitoring and End-to-End Process Monitoring
Programmer DD
Programmer DD
Aug 6, 2020 · Operations

Why SkyWalking’s Architecture Makes Modern Observability Seamless

This article explains SkyWalking’s modular, protocol‑oriented and lightweight architecture, its core components, design principles, and advantages such as cross‑environment consistency, easy maintenance, high performance, and extensibility for both traditional and cloud‑native systems.

APMApache SkyWalkingObservability
0 likes · 12 min read
Why SkyWalking’s Architecture Makes Modern Observability Seamless
Programmer DD
Programmer DD
Aug 4, 2020 · Operations

Why SkyWalking’s Architecture Powers Modern Cloud‑Native Observability

This article, excerpted from Wu Sheng’s "Apache SkyWalking实战", explains SkyWalking’s four‑core component architecture, its protocol‑oriented, modular, and lightweight design principles, and highlights its advantages such as seamless traditional and cloud‑native support, easy maintenance, high performance, and extensibility for secondary development.

APMApache SkyWalkingDistributed Tracing
0 likes · 12 min read
Why SkyWalking’s Architecture Powers Modern Cloud‑Native Observability
Laravel Tech Community
Laravel Tech Community
Jun 16, 2020 · Mobile Development

Kuaishou’s APM Platform and Mobile Performance Optimization: Insights from Yang Kai

In a mobile‑first world where limited device resources and unstable networks threaten user retention, Kuaishou’s performance team built an APM monitoring platform and applied systematic memory, startup, and jank optimizations that cut startup time by 40%, reduced package size by 23 MB, and significantly improved key product metrics.

APMKuaishouMemory Management
0 likes · 9 min read
Kuaishou’s APM Platform and Mobile Performance Optimization: Insights from Yang Kai
Efficient Ops
Efficient Ops
Jun 15, 2020 · Operations

Which Monitoring Approach Truly Delivers End-to-End Business Performance Insight?

This article examines why traditional network‑centric NPMD tools, agent‑based APM solutions, and their combination fall short of true end‑to‑end business performance monitoring, and argues that Business Performance Monitoring (BPM) using passive traffic mirroring offers the most complete, non‑intrusive full‑link visibility for application operations.

APMBPMFull‑Link Monitoring
0 likes · 9 min read
Which Monitoring Approach Truly Delivers End-to-End Business Performance Insight?
iQIYI Technical Product Team
iQIYI Technical Product Team
Apr 17, 2020 · Mobile Development

Optimizing Network Request Success Rate in Mobile Apps: iQIYI’s Practice and Lessons

iQIYI boosted its mobile app’s network request success rate to 99.7% by implementing detailed monitoring, layered retry strategies, optimized timeouts, reduced concurrency, smarter compression, IPv4 preference, TLS 1.3, and connection‑racing techniques, and now targets 99.9% using multipath, QUIC and intelligent traffic scheduling.

APMMobile AppiOS
0 likes · 13 min read
Optimizing Network Request Success Rate in Mobile Apps: iQIYI’s Practice and Lessons
Ctrip Technology
Ctrip Technology
Feb 13, 2020 · Mobile Development

Design and Implementation of an Application Performance Management (APM) System for Mobile Apps

This article introduces the background, core features, network and page performance modules, error monitoring, reporting, and optimization practices of a mobile App Performance Management (APM) system, highlighting its impact on monitoring, diagnostics, and performance improvement for large‑scale applications.

APMNetwork MonitoringPage TTI
0 likes · 20 min read
Design and Implementation of an Application Performance Management (APM) System for Mobile Apps
DevOps Coach
DevOps Coach
Nov 24, 2019 · Cloud Native

Mastering Observability in Cloud‑Native Apps with Elastic Stack: A Four‑Step Guide

This article explains how cloud‑native applications can achieve full observability using the Elastic Stack by outlining the four essential steps—health checks, metrics, logs, and tracing—while discussing the underlying challenges, implementation patterns, and practical recommendations for reliable monitoring.

APMcloud-nativeelastic-stack
0 likes · 14 min read
Mastering Observability in Cloud‑Native Apps with Elastic Stack: A Four‑Step Guide
Cloud Native Technology Community
Cloud Native Technology Community
Nov 21, 2019 · Cloud Native

Observability in Cloud‑Native Applications with Elastic Stack: A Four‑Step Approach

The talk explains how Elastic Stack can be used to achieve comprehensive observability for cloud‑native applications through a four‑step methodology—health checks, metrics, logging, and tracing—detailing the challenges, implementation details, and best practices for monitoring and debugging modern microservice systems.

APMElastic StackLogging
0 likes · 10 min read
Observability in Cloud‑Native Applications with Elastic Stack: A Four‑Step Approach
Xianyu Technology
Xianyu Technology
Oct 22, 2019 · Mobile Development

Why Flutter Performance Monitoring Is Needed and SDK Design Overview

To overcome native APM’s inability to monitor Flutter pages, the team created a high‑availability, open‑source Flutter SDK that records smoothness, load time, and exceptions through a four‑layer, publish‑subscribe architecture—API, Recorder, Processor, and Uploader—offering accurate, low‑overhead, extensible performance data for integration and future enhancements.

APMFlutterMobileDevelopment
0 likes · 11 min read
Why Flutter Performance Monitoring Is Needed and SDK Design Overview
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Aug 15, 2019 · Operations

Navigating the Open‑Source Distributed Tracing Landscape: Tools, Features, and How to Choose

This guide surveys the most popular open‑source distributed tracing projects, classifying them by instrumentation, tracer, and analysis capabilities, and explains how they fit into modern microservice observability, helping newcomers understand each tool’s strengths, integrations, and the broader tracing ecosystem.

APMDistributed TracingObservability
0 likes · 10 min read
Navigating the Open‑Source Distributed Tracing Landscape: Tools, Features, and How to Choose
Mafengwo Technology
Mafengwo Technology
May 9, 2019 · Mobile Development

How to Optimize iOS App Startup: Reduce Launch Time and Boost Retention

This article explains how the MaFengWo iOS app defined startup, measured key metrics such as launch duration and loss rate, and applied technical and user‑centered optimizations—including pre‑main and post‑main tweaks, fine‑grained interaction strategies, ad caching, and platform mechanisms—to cut launch time by half, lower loss rate by 30% and dramatically increase ad exposure.

APMMobile DevelopmentPerformance Optimization
0 likes · 22 min read
How to Optimize iOS App Startup: Reduce Launch Time and Boost Retention
Wukong Talks Architecture
Wukong Talks Architecture
Apr 30, 2019 · Fundamentals

C# Multithreading Journey (4): Introduction to the Asynchronous Programming Model (APM)

This article introduces the Asynchronous Programming Model (APM) in C#, demonstrating how to use delegates and BeginInvoke/EndInvoke to run time‑consuming operations concurrently, includes sample code, explains delegate generation, and discusses practical considerations such as IAsyncResult handling and callback execution.

APMC#Delegates
0 likes · 8 min read
C# Multithreading Journey (4): Introduction to the Asynchronous Programming Model (APM)
Java Backend Technology
Java Backend Technology
Apr 27, 2019 · Operations

Why Apache SkyWalking Became a Top‑Level Project and What It Offers for Modern APM

Apache SkyWalking, an open‑source observability platform that originated in 2015, has graduated to a top‑level Apache project, offering comprehensive APM features such as distributed tracing, metrics, service topology, root‑cause analysis, and flexible storage options for cloud‑native microservice environments.

APMApache SkyWalkingObservability
0 likes · 7 min read
Why Apache SkyWalking Became a Top‑Level Project and What It Offers for Modern APM
Meitu Technology
Meitu Technology
Apr 22, 2019 · Mobile Development

MTHawkeye: iOS Debugging and Performance Optimization Toolkit

MTHawkeye is Meitu’s iOS debugging and performance‑optimization toolkit that provides a three‑layer architecture—foundation, UI foundation, and plugin layers—to assist developers across development, testing, and production by offering memory leak detection, main‑thread profiling, CPU, network, graphics, storage monitoring, and integrated FLEX utilities.

APMInstrumentationMemory Leak Detection
0 likes · 8 min read
MTHawkeye: iOS Debugging and Performance Optimization Toolkit
Programmer DD
Programmer DD
Mar 19, 2019 · Operations

SkyWalking vs Pinpoint: Which Open‑Source APM Wins for Your Stack?

This article provides a detailed, side‑by‑side comparison of SkyWalking 6.0.0‑GA and Pinpoint 1.8.2 across community activity, language support, protocols, storage options, UI, extensibility, alarm mechanisms, JVM and service monitoring, trace granularity, performance impact, release packaging and component compatibility, helping you choose the right APM solution for your needs.

APMPinpointSkyWalking
0 likes · 16 min read
SkyWalking vs Pinpoint: Which Open‑Source APM Wins for Your Stack?
Java Captain
Java Captain
Jan 19, 2019 · Backend Development

Top 11 Popular GitHub Projects for Java Developers (December Rankings)

This article lists and briefly describes the eleven most popular Java‑related GitHub repositories in December, covering learning guides, e‑commerce platforms, advanced Java topics, performance monitoring, high‑concurrency demos, diagnostic tools, Spring Boot, tutorials, messaging middleware, community software, and the Dubbo RPC framework.

APMBackend DevelopmentDubbo
0 likes · 6 min read
Top 11 Popular GitHub Projects for Java Developers (December Rankings)
Beike Product & Technology
Beike Product & Technology
Dec 20, 2018 · Backend Development

Guide to Developing SkyWalking Java Agent with Byte Buddy and Plugin Implementation

This tutorial explains how to use Byte Buddy to build a JavaAgent for SkyWalking, debug and continuously integrate the agent, and develop custom SkyWalking plugins such as the kob scheduling framework, providing step‑by‑step code examples and configuration details for observability in Java backend services.

APMByteBuddyInstrumentation
0 likes · 12 min read
Guide to Developing SkyWalking Java Agent with Byte Buddy and Plugin Implementation
Java Backend Technology
Java Backend Technology
Dec 18, 2018 · Backend Development

How to Diagnose Slow OpenAPI Calls with TProfiler Without Changing Code

This article walks through a real‑world performance problem where an OpenAPI service sometimes responds in milliseconds and other times takes seconds, explains why adding logging is impractical, and demonstrates how to use Alibaba's TProfiler Java agent to profile the call chain, collect method timings, and analyze the results without modifying any source code.

APMJavaOpenAPI
0 likes · 10 min read
How to Diagnose Slow OpenAPI Calls with TProfiler Without Changing Code
Liulishuo Tech Team
Liulishuo Tech Team
Dec 14, 2018 · Mobile Development

Engineering Practice: Building an Android Application Performance Management (APM) Dashboard

This article details the architectural design and engineering practices behind building a comprehensive Application Performance Management dashboard for Android applications, covering real-time monitoring, version comparison, development cycle tracking, automated data collection, and integrated test coverage analysis to ensure sustainable software quality and delivery efficiency.

APMAndroid DevelopmentCI/CD
0 likes · 21 min read
Engineering Practice: Building an Android Application Performance Management (APM) Dashboard
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Dec 11, 2018 · Operations

Why SkyWalking Beats Zipkin and Pinpoint: A Deep Dive into APM Tools

With micro‑service architectures causing requests to span dozens of services across multiple teams and data centers, this article explains APM fundamentals, details Google’s Dapper tracing model, and compares three popular APM solutions—Zipkin, Pinpoint, and SkyWalking—highlighting performance impact, scalability, data analysis depth, developer transparency, topology visualization, and community support.

APMDistributed TracingPinpoint
0 likes · 15 min read
Why SkyWalking Beats Zipkin and Pinpoint: A Deep Dive into APM Tools
WeChat Client Technology Team
WeChat Client Technology Team
Nov 30, 2018 · Mobile Development

How Matrix‑ApkChecker Cuts Android APK Size: A Deep Dive into Mobile Optimization

Matrix‑ApkChecker, an in‑house APM tool used by WeChat, analyzes Android APKs to identify oversized files, redundant resources, unused assets, and other inefficiencies, providing detailed reports and enabling targeted optimizations such as removing duplicate files, converting PNGs to WebP, and stripping unused libraries, ultimately reducing app size by over 130 KB.

APK OptimizationAPMAndroid
0 likes · 11 min read
How Matrix‑ApkChecker Cuts Android APK Size: A Deep Dive into Mobile Optimization
21CTO
21CTO
Oct 2, 2018 · Backend Development

Boost Java Application Performance: Practical Tips, Tools, and JVM Tuning

This article explores how to maximize Java application performance by defining measurable goals, using load‑testing tools like Gatling, monitoring with APM solutions such as Retrace, applying code‑level optimizations, and tuning JVM, database, and architectural settings for scalable, efficient systems.

APMCode Best PracticesJVM Tuning
0 likes · 14 min read
Boost Java Application Performance: Practical Tips, Tools, and JVM Tuning
Efficient Ops
Efficient Ops
Sep 29, 2018 · Operations

Agent vs Wire Data: Which APM Method Delivers Real‑Time Insight?

This article compares probe‑based agents and wire‑data collection for application performance monitoring, detailing their architectures, advantages, drawbacks, and cost implications, and concludes which approach best supports modern, real‑time operational intelligence.

APMWire Dataagent monitoring
0 likes · 17 min read
Agent vs Wire Data: Which APM Method Delivers Real‑Time Insight?
Big Data and Microservices
Big Data and Microservices
Aug 15, 2018 · Operations

What Is APM? A Deep Dive into Application Performance Management and Top Open‑Source Tools

This article explains Application Performance Management (APM), its role in monitoring distributed and micro‑service systems, outlines the five‑dimensional APM model, details core monitoring functions, and reviews leading open‑source APM solutions such as PinPoint, Zipkin, SkyWalking, Prometheus, CAT and Hawkular.

APMDistributed TracingOperations
0 likes · 8 min read
What Is APM? A Deep Dive into Application Performance Management and Top Open‑Source Tools
Architect's Tech Stack
Architect's Tech Stack
Jul 26, 2018 · Operations

Deploying Pinpoint for Distributed Tracing of Dubbo Services

This guide explains how to install, configure, and use the open‑source Pinpoint APM tool to monitor Java‑based Dubbo applications, covering environment preparation, downloading binaries, modifying configuration files, deploying collector and web components, installing agents, and adding startup parameters for both Tomcat and SpringBoot deployments.

APMDistributed TracingDubbo
0 likes · 9 min read
Deploying Pinpoint for Distributed Tracing of Dubbo Services
UCloud Tech
UCloud Tech
Jul 18, 2018 · Operations

How to Build a Unified Monitoring System for Microservices: Key Dimensions & Scenarios

This article explains how microservice architectures require a comprehensive monitoring system, covering data, resource, and code dimensions, and describes eight atomic monitoring scenarios such as URL, host, product, component, custom, resource, APM, and event monitoring to help engineers design effective observability solutions.

APMObservabilityOperations
0 likes · 7 min read
How to Build a Unified Monitoring System for Microservices: Key Dimensions & Scenarios
Qunar Tech Salon
Qunar Tech Salon
May 31, 2018 · Mobile Development

Performance Monitoring and Optimization for React Native Applications at Qunar

This article describes Qunar's approach to quantifying, automatically detecting, and optimizing performance issues in React Native mobile apps by defining measurable metrics, real‑time data sampling, automated analysis rules, and visual feedback to enable proactive APM during development and testing.

APMMobile DevelopmentOptimization
0 likes · 9 min read
Performance Monitoring and Optimization for React Native Applications at Qunar
Ctrip Technology
Ctrip Technology
Mar 8, 2018 · Big Data

Ctrip Wireless APM Platform: Architecture, Metrics, and Technical Details

The article describes the evolution of Ctrip's wireless APM platform from the early UBT-based monitoring to a globally‑oriented, metric‑rich system that processes over 100 billion data points daily using Storm and Elasticsearch, detailing its design, key performance dimensions, data‑volume trade‑offs, and implementation choices.

APMBig DataCtrip
0 likes · 12 min read
Ctrip Wireless APM Platform: Architecture, Metrics, and Technical Details
21CTO
21CTO
Jan 12, 2018 · Backend Development

Boost Java Application Performance: Load Testing, APM, and JVM Tuning Guide

This article explains how to improve Java application performance by defining measurable metrics, using load‑testing tools like Gatling, monitoring with APM solutions such as Stackify Retrace, applying code‑level best practices, tuning JVM heap and garbage collection, optimizing JDBC access, and scaling the architecture.

APMJVM TuningJava
0 likes · 14 min read
Boost Java Application Performance: Load Testing, APM, and JVM Tuning Guide
Qizhuo Club
Qizhuo Club
Dec 15, 2017 · Mobile Development

How 360 Mobile Guard Optimizes App Performance with Its Own Monitoring System

This article explains how 360 Mobile Guard, a massive Android security app built on the RePlugin framework, implements a comprehensive performance monitoring system—including offline code checks, Argus APM tools, online crash and metric collection, diagnostic plugins, and future AI-driven analysis—to identify and resolve performance issues and improve user experience.

APMAndroidapp optimization
0 likes · 9 min read
How 360 Mobile Guard Optimizes App Performance with Its Own Monitoring System
360 Quality & Efficiency
360 Quality & Efficiency
Nov 23, 2017 · Operations

Ten Micro‑Metrics to Strengthen Performance Testing Reports

This article explains why traditional macro performance metrics are insufficient, introduces ten essential micro‑metrics covering memory, thread, and network aspects, and shows how to capture them using GC logs, thread dumps, and tools like netstat or open‑source APM solutions.

APMMemoryNetwork
0 likes · 8 min read
Ten Micro‑Metrics to Strengthen Performance Testing Reports
Dada Group Technology
Dada Group Technology
Oct 27, 2017 · Operations

Pinpoint Overview and Plugin Development Guide

Pinpoint is a full‑stack, non‑intrusive tracing platform that visualizes service topology, active threads, request latency, and application health, and this article explains its architecture, data model, and step‑by‑step process for creating custom plugins—including ServiceLoader configuration, TraceMetadataProvider, and ProfilerPlugin implementations with code examples.

APMJavaObservability
0 likes · 22 min read
Pinpoint Overview and Plugin Development Guide
dbaplus Community
dbaplus Community
Aug 15, 2017 · Operations

How One‑Click Thread Analysis Transforms Automated APM in Microservice Ops

This article explains the role of APM in automated operations, outlines the challenges of manual thread diagnostics, and presents a one‑click thread analysis solution with a five‑stage architecture—capture, aggregation, storage, query, and deep analysis—illustrated through multiple real‑world scenarios.

APMAutomated OperationsThread analysis
0 likes · 25 min read
How One‑Click Thread Analysis Transforms Automated APM in Microservice Ops
Efficient Ops
Efficient Ops
Mar 1, 2017 · Operations

How to Build an Effective APM Platform for Enterprise IT Operations

This article shares practical insights from a senior network manager on why enterprises need Application Performance Management, how to visualize, automate, and intelligent‑ly monitor network infrastructure, define KPI metrics, select tools like Zabbix and ELK, and implement a custom APM platform to improve reliability and reduce operational friction.

APMELKIT Operations
0 likes · 19 min read
How to Build an Effective APM Platform for Enterprise IT Operations
Node Underground
Node Underground
Jan 24, 2017 · Operations

11 Essential Practices to Master Node.js Application Monitoring

Effective Node.js monitoring boosts competitiveness, user experience, and cost efficiency, and this guide outlines eleven key recommendations—from tracking downtime and response thresholds to linking performance with business metrics and leveraging third‑party APM tools—ensuring robust, noise‑free alerts and secure, scalable applications.

APMNode.jsObservability
0 likes · 3 min read
11 Essential Practices to Master Node.js Application Monitoring
Efficient Ops
Efficient Ops
Oct 11, 2016 · Operations

How to Trace the Root Cause of Application Performance Issues Across the Full Stack

This article explores the challenges of locating performance bottlenecks in apps, browsers, networks, and servers, explains the evolution of Application Performance Management (APM) at a global DevOps conference, and introduces a full‑stack tracing solution that integrates client, mobile, and cloud monitoring.

APMFull-stack Tracingdevops
0 likes · 10 min read
How to Trace the Root Cause of Application Performance Issues Across the Full Stack
Efficient Ops
Efficient Ops
Jul 18, 2016 · Mobile Development

How myAPM Empowers Mobile App Performance Monitoring and Optimization

This article explains how Tencent's myAPM platform provides method‑level injection and monitoring for mobile apps, enabling automatic APK size analysis, lag detection, startup performance tracking, and core‑link analysis to help developers identify and eliminate unused code and performance bottlenecks.

APK size analysisAPMMethod Injection
0 likes · 14 min read
How myAPM Empowers Mobile App Performance Monitoring and Optimization
Java High-Performance Architecture
Java High-Performance Architecture
Mar 16, 2016 · Operations

How Vipshop’s Three‑Tier Monitoring System Keeps Services Running Smoothly

Vipshop’s three‑tier monitoring system—covering system, application (Mercury), and business layers—collects and analyzes logs from distributed components, providing real‑time metrics, slow‑call detection, error tracing, and configurable alerts to help engineers quickly pinpoint and resolve performance issues.

APMAlertingPerformance
0 likes · 4 min read
How Vipshop’s Three‑Tier Monitoring System Keeps Services Running Smoothly
21CTO
21CTO
Dec 18, 2015 · Operations

7 Essential Java Performance Metrics to Monitor After a Major Release

After a major release, this article explains the most important Java performance metrics—response time, throughput, average load, error rate, GC pauses, business KPIs, uptime and log volume—and recommends tools to monitor them without relying on raw log files.

APMbackendmetrics
0 likes · 12 min read
7 Essential Java Performance Metrics to Monitor After a Major Release