This article demonstrates how to apply Groovy regular expressions within JMeter to extract fields from API responses, showing step‑by‑step configuration of a thread group, JSR223 post‑processor script, and variable handling for performance testing.
The article reveals that JMeter often reports inflated throughput because it includes client‑side processing time—such as regex extraction and post‑processors—in its calculations, leading to misleading performance metrics unless corrected with micro‑benchmark adjustments.
This guide demonstrates how to add a JSR223 PostProcessor with Groovy in Apache JMeter to capture slow requests, write request parameters and responses to a log file, and control pagination for automated performance testing, providing complete script examples and console output.
This article details a backend engineering practice that simulates 100 billion shake‑red‑packet requests by building a single‑machine prototype supporting one million connections, achieving peak QPS of 60 k, and demonstrates the methodology, hardware setup, code design, monitoring, and performance analysis.
This guide explains how to create a delayed‑disk device on Linux, place MySQL binlog files on it, and use tools like mysqlslap and pt‑ioprofile to observe the impact of artificially slow I/O on MySQL performance.
This tutorial explains how to employ Groovy scripts within JMeter to dynamically modify request parameters, covering setup of a thread group, adding a JSR223 PreProcessor, example code, console output verification, and result tree inspection for GET and POST requests.
This article demonstrates how to execute operating‑system commands from a Groovy script inside JMeter’s JSR223 PreProcessor, showing the required test plan setup, the Groovy code, and the resulting console output for performance testing purposes.
This tutorial shows how to use Groovy scripts inside JMeter to set and retrieve both thread‑local (private) and thread‑shared (global) variables, providing step‑by‑step configuration, code snippets, and sample console output for each case.
This article reflects on the quality assurance challenges and solutions of the large‑scale CloudMap redesign project, covering core difficulties, QA responsibilities, testing strategies, performance monitoring, and post‑release optimization to ensure stable delivery for thousands of users.
This guide explains how to install, configure, and run tcpcopy and its companion intercept tool to redirect live traffic for realistic pressure testing, including command examples, parameter details, Jenkins integration, and common troubleshooting steps.
This article explains why traditional locking harms Java performance‑testing throughput, introduces lock‑free alternatives such as CAS and ThreadLocal, and provides a complete Java demo that shows how each thread can hold its own object to eliminate contention and boost speed.
This article presents the design of Flink's batch processing architecture, its integration with Hive through a unified Catalog API, details the enhancements in Flink 1.10, outlines future work, and reports a performance test showing roughly seven‑fold speedup over Hive on MapReduce.
This article explains how to replace cumbersome Python‑Plotly visualizations of performance test logs with a lightweight Groovy solution that generates plain‑text bar charts directly in the shell or email, using Unicode block characters and a bucket‑based median algorithm.
This article walks through a complete performance‑testing setup for a VIP purchase callback API, detailing the request flow, distributed‑lock handling with Redis, parameter generation using AtomicInteger, Java implementation, and pitfalls to ensure accurate, high‑concurrency testing.
This article details recent updates to a performance testing framework, including moving the mark feature into ThreadBase, changing method signatures, introducing two virtual thread limit classes for count‑based and time‑based execution, optimizing after() handling, and abandoning deep‑copy cloning for thread objects.
This guide outlines the key 2020 trends, essential automation and programming skills, recommended learning resources, and practical steps for test engineers to advance their careers, stay current with emerging technologies, and build a strong professional presence.
This article explains how to implement request‑ID tagging for each API call in a Java performance‑testing framework, describes the updated MarkRequest implementations, shows how to configure connection‑pool timeouts and retries, and provides full source code examples for both header‑based and string‑based markers.
This article explains how the open‑source Coconut cache server implements a high‑throughput global sequence ID generator and a lock‑free global limit manager, detailing their data formats, HTTP APIs, command‑line usage, performance benchmarks, and deployment instructions for distributed systems.
The article explains why using synchronized(this.getClass()) in anonymous test threads can produce empty mark records during performance testing, and shows how replacing it with a static synchronized save method resolves the thread‑safety issue.
The article explains the origins, metrics, and test suites of TPC and SPEC benchmarks, describes their various models for CPU, web, HPC and storage performance, shows how to query official results, and notes a promotional bundle of technical e‑books.
In this technical talk, Alibaba Entertainment’s Youku client quality expert explains the major challenges of the client QA system, introduces a testing approach built around the packaging process, shares practical performance testing methods, and outlines the 2020 exploration and future plans.
This article explains the concept of Hash Join in MySQL 8.0, compares it with Nested Loop joins, shows how to enable or force it with server variables or hints, and presents performance benchmarks that demonstrate its speed advantages on large datasets.
This article explains how to conduct proportional load testing for a microservice that exposes several APIs by using a custom Java performance‑testing framework, covering request deep‑copy handling, MarkRequest cloning, and a complete code example that drives concurrent requests according to a 1:2:3 ratio.
This article explains how to generate, propagate, and log unique request IDs across multithreaded HTTP calls in a Java performance‑testing framework, providing a MarkRequest interface, a RequestThreadTimes implementation, and a runnable demo that captures request‑ID timestamps for analysis.
This article introduces the open‑source jvm‑sandbox‑repeater tool, explains its recording and replay mechanisms, shares a real‑world implementation with custom plugins, highlights performance considerations, and lists common pitfalls for reliable backend testing.
This article demonstrates Groovy's operator overloading capabilities through Java-compatible code examples, including arithmetic, shift, and increment operators, shows console output, integrates a performance‑testing thread multiplication demo, and highlights Groovy's ability to overload even the dot operator.
This article demonstrates how to design a reusable Java test case that can serve functional verification, automated validation, and performance benchmarking of backend APIs, providing a complete demo with source code, test scripts, and execution guidelines.
The QA team delivered a seamless, globally stable Double 11 “Cat Night” live stream across three apps and dozens of devices by applying client‑ and server‑side stability measures, international latency simulation, IPv6 support, cost‑effective CDN strategies, full‑chain monitoring, and automated asset‑loss safeguards, achieving zero financial loss.
This article explains how to avoid thread‑unsafe statistics collection by copying objects per thread, explores Java deep and shallow copying concepts, provides a concrete test program, and uses JConsole and heap dumps to verify the number of object instances created by each copying method.
This article presents a collection of classic interview questions and answers on interface automation testing, covering topics such as Python coding, testing methodologies, and tools like Jenkins.
This article explains the design, implementation, and performance of Baidu’s BDPAppearance skin‑theme framework for iOS, showing how developers can adopt low‑cost APIs to switch colors and images across thousands of views, compare it with other open‑source solutions, and manage theme resources at scale.
This guide explains how to assess Android device power usage through hardware meters and the Battery Historian tool, covering setup, command‑line procedures, data collection, parameter interpretation, and methods for improving result reliability.
This guide walks operations engineers through understanding server bottlenecks, setting up JMeter's distributed load testing environment on Windows and Linux, configuring assertions and variables, analyzing performance results, and monitoring both concurrency and stability tests to ensure reliable scalability.
This article provides a concise review of a short‑video editing SDK, outlining its features, core module architecture, testing considerations such as supported media formats, effect stacking, interruption handling, common issues on iOS devices, and performance evaluation guidelines.
This article explains how to extend an existing Java performance‑testing framework by adding a fixed‑time mode alongside the traditional fixed‑count mode, detailing the design of ThreadBase, ThreadLimitTimes, ThreadLimitTime classes, demo implementations for HTTP requests, and key design considerations for low‑overhead timing and early termination.
This page provides a comprehensive catalog of resources covering API testing, unit testing, performance testing, language-specific tutorials (Java, Groovy, Python), case studies, testing tools, UI automation, and related technical articles, offering developers and testers a centralized reference for improving software quality and efficiency.
This guide explains how to obtain, calculate, and interpret key Android performance metrics—including CPU usage, memory consumption, frame rate, network traffic, thread activity, and power consumption—using adb commands, code snippets, and best‑practice recommendations.
This article explains why Flutter apps still need careful performance testing, outlines general optimization principles, describes how to control CPU/GPU governors, use Flutter Driver and Timeline tools, and provides practical metrics and code snippets for reliable mobile app profiling.
This article details the AutoHome community's migration from a monolithic SQL Server database to the distributed TiDB platform, covering the performance bottlenecks that prompted the change, the evaluation of candidate databases, extensive OLTP/OLAP testing, the full‑ and incremental‑sync migration strategy, rollback mechanisms, and the resulting operational improvements.
The article shares two years of backend testing experience using Java and Groovy, detailing a custom HttpClient‑based testing framework with MySQL storage, HTML reporting, alert notifications, and a comprehensive collection of API testing, performance testing, and test‑design resources.
The author shares a two‑year‑old Java/Groovy testing framework, outlines common challenges in API functional and performance testing, and provides a curated list of practical implementations—including Spring Boot + MyBatis services, HttpClient examples, AlertOver notifications, Swagger code generation, performance tools like Netdata and Timewatch, and detailed test plans for various scenarios.
This article chronicles how Alipay’s engineering teams tackled massive traffic spikes during Double 11 from 2009 to 2019, evolving their backend architecture, performance‑testing practices, database strategy, and cloud‑native infrastructure to achieve seamless, high‑throughput payment processing.
The article details how 7FRESH's R&D, testing, network operations, and product teams coordinated system capacity expansion, degradation mechanisms, emergency response procedures, extensive performance testing, and 24/7 monitoring to ensure stable and scalable service during the high‑traffic 11.11 shopping event.
The article details JD.com's internally developed distributed search engine and recommendation platform, their new architectures, deep‑learning‑driven ranking and recall models, component‑based deployment, extensive performance testing, and coordinated operations that powered the massive 11.11 shopping event.
This article explains how to perform load testing for scenarios where each row can be updated only once, using a thread‑safe queue to supply unique parameters to concurrent threads, and provides complete Java code examples for both a global queue and per‑thread queues.
Alibaba’s seven‑year journey of full‑chain performance testing for its Double 11 shopping festival reveals a comprehensive, production‑environment‑based workflow—including environment transformation, data preparation, traffic safety, test execution, and intelligent analysis—designed to ensure system stability under massive traffic spikes and guide external customers.
This article explains load testing fundamentals, including its purpose, key performance indicators such as TPS and response time, detailed testing steps, scenario design considerations, a practical example, common issue analysis, and an overview of tools like JMeter and Locust.
This article investigates whether to allocate new memory for each incoming message or to reuse memory from a pool, analyzing the impact on throughput and latency in batch and soft‑real‑time applications, and presenting extensive benchmark results for various garbage collectors, JVM options, and native C++ implementations.
The article describes JD's traffic replication and replay platform, explaining its background, the concepts of traffic copying and replay, detailed platform architecture and features, normalised load testing workflow, dynamic regression testing, operational results, current limitations, and future improvement directions.
Discover a curated selection of open‑source utilities spanning Go‑based alert visualizers, command‑line benchmarkers, Python image generators, C REPLs, TypeScript web linting, and strict Python style guides, each with brief descriptions and links, offering developers valuable resources for web, ops, and general programming tasks.
The article explains how the project login system was upgraded to Single Sign-On (SSO), details two performance testing scenarios for single‑user logins, and provides Groovy and Java code examples for concurrent testing, token handling, and CAS credential verification.
This article provides a comprehensive technical analysis of OceanBase’s record‑breaking TPC‑C benchmark, covering the preparation work, test system design, planning, performance testing methodology, ACID verification, and the lessons learned from achieving 60.88 million tpmC on a distributed cloud platform.
This article provides a detailed checklist of Android app testing items—including smoke, installation, functionality, stability, performance, security, and special scenario tests—along with practical tips, links to technical resources, and notes on quality platform integration.
This article introduces Puppeteer, a Node library for controlling Chrome, and demonstrates its use in automating web performance analysis and scraping tasks.
This article introduces Kubernetes' fundamental components such as Pods, Deployments, Services, compares it with Docker Swarm, shares practical usage of the Wayne dashboard, provides deployment best‑practice notes, and presents performance test results of a self‑built cluster versus bare‑metal Java workloads.
This article explains how to configure Logback in a Spring Boot application to separate logs by level into different files, implement asynchronous logging to reduce disk I/O, and demonstrates a performance test showing a ten‑fold throughput increase, while also detailing the underlying async mechanism.
Discover 14 leading application performance monitoring and load testing tools—including AgileLoad, Apache JMeter, AppDynamics, BlazeMeter, Dynatrace, and more—detailing their key features, pricing models, and unique advantages to help you build high‑performance, reliable systems.
This article introduces Kubernetes’ fundamental building blocks such as Pods, Deployments, Services, compares it with Docker Swarm across scheduling, autoscaling, load balancing and disaster recovery, shares practical deployment experiences using the Wayne management tool, provides self‑build setup tips, and presents benchmark results that contrast k8s clusters with bare‑metal Java workloads.
The article details how Autohome tackled a severe market downturn by launching the 818 Global Car Night, describing the background, massive technical challenges, infrastructure scaling, high‑availability architecture, full‑link stress testing, monitoring, security measures, and the lessons learned for future large‑scale online events.
The article describes a situation where background threads continue running after the main thread ends during Android app performance testing, analyzes the cause—sleep calls in auxiliary threads—and demonstrates how to correctly terminate them using Thread.join and a helper method.
This article explains the principles, characteristics, and performance trade‑offs of the consistent‑hash (ring‑hash) and jumpstringhash sharding algorithms used by DBLE, presents test results on variance, latency and data balance, and concludes why DBLE prefers jumpstringhash.
This article details CTrip's migration of its internal Dubbo‑based RPC framework (CDubbo) from version 2.5.10 to 2.7.3, describing the motivations, encountered incompatibilities, step‑by‑step resolutions, performance regressions, and the comprehensive compatibility, stress, and integration testing performed to ensure a stable production rollout.
This article explains how to configure Logback in a Spring Boot project to write logs to separate files by level, enable asynchronous logging to reduce I/O latency, and demonstrates a performance test that shows a ten‑fold throughput increase compared with synchronous logging.
This article explains how to use UiAutomator scripts combined with Java multithreading to continuously refresh an Android app’s home page while capturing logs and performance metrics, including full code examples for command execution, timestamp handling, and test loops.
This article explains how mysqldump’s --net-buffer-length option can be used to split INSERT statements into manageable batches, defines large transactions, shows performance testing with different buffer sizes, and concludes that the default settings already avoid large transactions and provide acceptable import performance.
This guide shows how to use the adb shell dumpsys gfxinfo command to capture frame‑per‑second metrics for an Android app and provides a reusable Java class that runs in a separate thread, parses the output, and stores the results for performance analysis.
This guide introduces a collection of practical Linux operation tools—including Nethogs, IOZone, IOTop, IPtraf, iftop, HTop, NMON, MultiTail, Fail2ban, Tmux, Agedu, NMap, and Httperf—detailing their purpose, installation commands, and usage examples for system monitoring, performance testing, and security hardening.
This article explains the fundamentals of service mesh, details Istio's architecture and components, demonstrates traffic management, security, and telemetry features with practical examples, and presents performance testing results and Go client code for managing Istio CRDs in a Kubernetes environment.
This guide explains how to install Apache Ant, configure a build.xml file to run JMeter tests and generate HTML reports, and execute the Ant build to produce performance test results, including troubleshooting common permission errors.
This article provides a step‑by‑step tutorial on installing JMeter, configuring environment variables, launching the tool, creating a test plan with thread groups and HTTP requests, and running performance tests on API endpoints, illustrated with screenshots and command‑line examples.
This article introduces RSocket, examines its production performance tests with Dubbo and Spring Flux, explains the protocol’s four interaction models and key features, and discusses the practical benefits of using RSocket for reactive business development and future back‑pressure scenarios.
This guide explains the environment setup, connection steps, parameter selection, data collection, and result interpretation for an Android performance monitoring tool that measures traffic, memory, CPU usage, FPS, and network speed during app testing.
This article presents a Java‑based solution that repeatedly launches and closes an Android app while capturing logcat output to automatically calculate splash‑screen and home‑screen launch times, providing a reproducible method for accurate performance testing.
This article presents a real‑device performance test of three data serialization structures—JSON, Protocol Buffers, and FlatBuffers—used in H5‑Hybrid and Flutter development, analyzing their size, serialization/deserialization speed, and suitability for Android, Flutter, and H5 communication channels.
The author shares a concise mind map of key Java JVM commands learned during performance testing, offering a quick reference that can be downloaded as an XMind file for developers seeking to optimize their Java applications.
This article details a comprehensive performance evaluation of Tencent Cloud Serverless functions, covering stress‑test methodology, cold‑start analysis, optimization techniques such as instance retention and code reduction, and real‑user latency comparisons, ultimately demonstrating how to achieve production‑grade response times.
Soloπ is an open‑source, wireless, non‑intrusive Android testing solution that lets developers control phones directly to perform functional, performance, compatibility, and stability tests, featuring wireless ADB, accessibility‑based UI automation, Chrome DevTools integration, image‑recognition, multi‑device control, and built‑in performance metrics such as CPU, memory, FPS, and mobile Lighthouse.
The article describes a Java performance testing framework that was refactored from a request‑based to a method‑based design, introducing a ThreadBase class and specialized adapters for HTTP requests, database queries, and concurrent execution, and discusses the advantages of code‑based concurrency and Groovy.
This article presents a detailed performance comparison of ClickHouse using two real‑world cases, analyzes query timings, explores parameter tuning, schema and SQL adjustments, and summarizes practical conclusions for achieving sub‑second analytics on billion‑row datasets.
This article explains a practical approach to performance‑testing Dubbo add and delete methods of a message queue by pre‑generating payloads, using a thread‑safe LinkedBlockingQueue, and driving the calls with JMeter‑compatible Java code.
The article introduces a Java performance testing framework that shifts from request‑centric to method‑centric design, provides a reusable ThreadBase class, and demonstrates concrete implementations for HTTP requests, database queries, and a concurrent executor to collect timing metrics, while also discussing the merits of coding versus tooling and Groovy advantages.
This article introduces a lightweight Groovy TimeWatch utility that lets developers record execution times with customizable markers, offering both millisecond and nanosecond precision, and explains its implementation, usage, and future multithreading considerations.
This article details a step‑by‑step optimization of a Java search API—covering OpenSearch configuration, batch caching, thread‑pool tuning, and Redis pipelining—that reduced average response time from 150 ms to 32 ms and met a sub‑100 ms SLA.
This article outlines the CoolJia search service quality system, detailing its architecture, the three‑pronged business testing approach, performance and effect testing, data synchronization tests, and the dedicated debug platform to ensure reliable, high‑performance search operations.
This article explains that high concurrency is fundamentally about efficiently squeezing CPU resources, discusses the evolution of concurrency models, presents a control‑variable analysis of HTTP request flow, and compares PHP‑Swoole with Java‑Netty through detailed benchmark results and code examples.
This article debunks the myth that larger database connection pools always improve performance, explains how CPU, disk, and network I/O affect optimal pool size, presents real‑world test results, and provides a practical formula for calculating the right number of connections.
This article explains the challenges of handling Double‑11 traffic spikes, introduces adaptive load‑balancing concepts, analyzes the 5th Middleware Performance Challenge scenario, and outlines algorithm design considerations and evaluation steps for building a robust, self‑adjusting load‑balancing solution.
This article explains the evolution and advantages of video SDKs, details the core playback pipeline—including decoding, rendering, and audio‑video synchronization—covers cross‑platform implementation on Android, iOS and PC, and shares practical testing experiences and performance‑optimization techniques.
An in‑depth performance benchmark compares MySQL on CentOS 6 and CentOS 7 using sysbench with 10 tables of 5 million rows, revealing up to 40% higher QPS on CentOS 7, detailing test setup, results, and key configuration tweaks that dramatically improve throughput.
Based on data transmission and reliability metrics, this article compares Apache Storm and Apache Flink in stream processing, presenting benchmark designs, test environments, results for synthetic and Kafka data, and offers practical recommendations such as operator chaining, object reuse, and checkpoint strategies to maximize Flink performance.
The article details how a Tencent front‑end engineer migrated a Node.js service to Tencent Cloud Serverless, used WeTest load‑testing to expose cold‑start and network latency issues, applied code and connection optimizations plus regional deployment, achieving sub‑200 ms response for 200 concurrent users while outlining further roadmap improvements.
The case study details how Pandora’s marketing solution for Tencent’s games was migrated to a managed Tencent Cloud Kubernetes cluster, compares container‑service, serverless, and self‑built options, outlines the new image‑based deployment workflow, autoscaling, monitoring practices, and demonstrates the operational benefits of tighter dev‑ops collaboration.
This article introduces HttpRunner, covering supported platforms, installation commands, key features such as parameter extraction, global configuration, variable handling, data-driven testing, report generation, and practical steps for converting HAR files to test cases and executing them with hrun.
This article examines the limitations of HTTP/1.x, explains how HTTP/2 addresses them, details the NDSF framework's implementation choices, presents comprehensive JMeter‑based performance tests, and analyzes the results to show traffic reduction, latency stability, and overall business benefits.
This guide walks through integrating Codecentric's Chaos Monkey into a Spring Boot microservice ecosystem, covering dependency setup, configuration, actuator endpoints, Dockerized MySQL, performance testing with Gatling, and timeout tuning for Feign and Ribbon clients to simulate real‑world failures.
To meet Xianyu’s rapid‑release targets, the team built a CI‑integrated automation suite that gathers Flutter FPS, CPU, memory and network data via extended Android tools, drives mixed Flutter/Native UI tests with Appium and integration‑test, and generates lane‑by‑lane performance reports that quickly flag regressions across dozens of feature branches.
This article presents a comprehensive methodology for performance testing and optimization of a new corporate banking system, covering evaluation metrics, monitoring tools, test environment setup, common bottlenecks, detailed troubleshooting steps, and real‑world case studies to achieve higher throughput, lower latency, and better scalability.
This presentation details how to correctly benchmark MySQL middleware performance, exposing common pitfalls, describing practical testing methodologies, emphasizing the need to observe both middleware and actual database pressure, and discussing distributed transaction considerations and metric selection for reliable results.
MAXIM is Youzan’s distributed full‑link load‑testing engine built on Gatling, featuring a central control center, multiple load injectors, a GUI for test orchestration, data‑parameter binding, real‑time injector monitoring, automated reporting with historical retention, and extensible architecture supporting Dubbo and centralized InfluxDB logging.
This article explains how to conduct performance testing for long‑connection services such as MQTT using JMeter, highlights common factors that restrict connection counts like system port limits and file descriptor caps, and provides step‑by‑step instructions to adjust sysctl and ulimit settings to obtain accurate results.
