This article explains how mid‑level and senior software test engineers are defined, highlights the career‑advancing value of certification, and presents a detailed testing skill map covering automation, performance, and security testing techniques and tools.
This article outlines a comprehensive, data‑driven methodology for reducing MySQL storage expenses—including background analysis, challenge identification, a nine‑grid systematic framework, benefit estimation, safety and stability verification, gray‑scale rollout, and rollback strategies—demonstrating over 50% disk space savings in a large‑scale billing system.
This article presents a systematic, nine‑grid method for reducing MySQL storage expenses—including table compression, JSON field serialization, and hot‑cold data separation—while quantifying benefits, ensuring data safety, and validating system stability through staged testing and SRE metrics.
This article details a comprehensive performance‑testing case study of an inventory‑reservation system, describing the test scenarios, bottleneck analysis, Redis‑based cache redesign, re‑testing results, cache‑preheat strategies, invalid‑call reduction, and operational best practices that together increased TPS by over twenty‑three‑fold while keeping latency under 500 ms.
This article records a systematic test of Elasticsearch refresh latency, revealing that update operations, a high proportion of deleted documents, and the soft‑delete setting significantly increase refresh time, while the large‑segment strategy and disabling soft delete can reduce latency without harming overall performance.
This article by a senior architect provides a detailed overview of payment system architecture, covering transaction and payment cores, system interactions, service governance, asynchronous processing, and production practices, while also offering practical performance testing and stability strategies.
dperf, Baidu’s open‑source DPDK‑based tool, delivers ultra‑high‑performance network testing by generating up to ten million HTTP connections per second, hundreds of gigabits of throughput, and detailed per‑second statistics, with step‑by‑step guidance on environment setup, compilation, and execution.
Real‑time monitoring of CPU, memory, disk I/O and network bandwidth during performance testing helps identify bottlenecks, prevent crashes, collect actionable data, ensure accurate results, and meet SLA requirements, and a Python script can automate data collection and storage in MySQL.
The MyBatis SQL Viewer plugin for IntelliJ IDEA converts MyBatis XML to executable SQL, offers comprehensive mock data generation, compliance and index checks, execution plans, stress testing, and project‑wide scanning, streamlining CRUD development without repeated application restarts.
This document outlines a complete test plan, testing strategies, resource allocation, schedule, risk management, acceptance criteria, and deployment procedures for an e‑commerce Double‑11 promotion, emphasizing functional, interface, and performance testing to ensure system stability and high‑quality user experience.
For the 13th League of Legends World Championship live stream on Bilibili, a comprehensive technical‑assurance framework—covering pre‑event traffic buildup, in‑event experience, and post‑event replay—mapped over 60 business functions, applied a traffic‑estimation model, executed fault‑injection drills, load tests, strict SOPs and change control, and real‑time monitoring, enabling 120 million viewers and a peak of 460 million concurrent users.
This guide introduces the stress‑ng tool, explains how to install it via yum or from source, details its command‑line options, and provides step‑by‑step examples for CPU, memory, I/O, and disk stress tests with monitoring commands and result screenshots.
The article outlines a three‑step methodology for performance testing in a mid‑platform setup—defining test scope, verifying service baselines, setting protection thresholds, and executing end‑to‑end load tests—while highlighting the unique challenges of banking workloads, ESB integration, and cross‑team coordination.
This article demonstrates how to integrate Project Loom virtual threads into a Spring Boot application, configure Maven and Tomcat, implement REST endpoints, run JMeter load tests, and compare response times between traditional and virtual threads to showcase significant performance improvements.
This article compares the Spring Boot and Quarkus Java frameworks by examining their architectures, running reactive test applications, measuring startup time, memory usage, CPU consumption and response latency for both JVM and native builds, and provides practical guidance for migrating Spring developers to Quarkus.
The article outlines how game QA and third‑party providers can improve cooperation by aligning basic performance concepts such as TPS, QPS and concurrency, selecting appropriate rate‑limiting strategies, establishing precise monitoring and alerting, and preparing clear incident‑response and delivery standards.
This article experimentally compares three Java‑based insertion strategies—MyBatis without transaction, plain JDBC with and without transaction, and JDBC batch processing—with and without transactions, measuring how they affect the time required to insert tens of millions of rows into MySQL.
This guide outlines practical approaches for handling static, dynamic, asynchronous, and distributed test data—including large configuration files—to ensure reliable and scalable performance testing while avoiding data contamination and bottlenecks.
This guide walks you through using Alibaba Cloud PTS and JMeter 5.5 to create a custom JavaSampler for RocketMQ 5.0, package the sampler into a JAR, configure a PTS JMeter environment, run an RPS‑mode load test, and analyze the detailed performance report.
This article compiles essential performance testing interview questions, outlines a complete testing process with metrics and types, analyzes the 12306 ticketing system crash causes—including overload, bugs, security and network issues—and offers practical mitigation strategies for engineers.
This article debunks common thread‑count myths by running Java CPU‑bound and I/O‑bound experiments on a 6‑core/12‑thread Ryzen, showing how core count, context‑switching overhead, and I/O wait time affect CPU utilization and guiding practical thread‑pool sizing.
This guide walks through installing Apache Ignite via Docker, configuring it alongside MySQL in a Spring Boot project, setting up data sources and MyBatis, and performing benchmark tests to illustrate Ignite’s superior in‑memory SQL performance compared to traditional MySQL setups.
This article explains how to size a thread pool by understanding CPU core limits, I/O wait effects, empirical testing on a multi‑core machine, and a practical formula, while emphasizing that real‑world workloads require iterative performance testing to find the best thread count.
This article presents a detailed design and implementation plan for adding configurable noise‑reduction to both traffic recording and result comparison in Alibaba's jvm‑sandbox‑repeater, including new configuration fields, comparator extensions, and a Quartz‑based denoising job with Akka integration.
Traffic replay technology records real production traffic and replays it in test environments to verify code changes, improve regression, performance, and functional testing, with detailed discussions of its applications, a comparison of popular open‑source tools, and common challenges and mitigation strategies.
This article explains why measuring Java code performance is essential, introduces the JMH microbenchmark framework, details its key annotations and configuration options, and provides step‑by‑step instructions and code examples for building, writing, and running benchmarks to obtain reliable results.
This article presents a systematic performance test of inserting massive data into MySQL, comparing three strategies—MyBatis lightweight insertion, direct JDBC (with and without transactions), and JDBC batch processing—showing how transaction handling and batch execution dramatically affect insertion speed.
The article introduces Kylin, 58’s self‑developed one‑stop performance testing platform, detailing its background, development stages, core modules such as management console, test engine, scheduler, data monitoring and report aggregation, as well as its architecture, SCF support, task scheduling, data collection, reporting mechanisms, practical results and future roadmap.
This article examines the challenges of setting effective rate‑limiting thresholds for massive cloud‑native services, compares TPS and concurrency metrics, proposes stress‑testing and historical‑data‑ARMA forecasting methods, and presents a practical system that delivers reliable limits for both node‑wide and per‑service protection.
Performance testing is crucial for ensuring software reliability, and this guide outlines essential best practices—including setting clear goals, selecting appropriate tools, crafting maintainable scripts, using realistic data, running long‑duration loads, and scheduling regular tests—to help engineers achieve stable, high‑performing applications.
The article explains how capacity management balances cost control and service quality through defined goals, three development stages, detailed resource optimization methods, stress‑testing metrics and standards, and automated scaling to achieve significant cost reductions while maintaining system stability.
This guide explains how to evaluate and tune Serverless function settings—balancing cost, performance, and workload complexity—using built‑in estimation tools, CPU/IO benchmark results, Little's Law‑based performance probing, and Alibaba Cloud's PTS testing workflow.
The study evaluates log4j2 and logback performance, recommends asynchronous logback for high‑concurrency workloads, demonstrates latency reductions in a production service, and introduces a TraceContext‑based flag to share logging state across micro‑services, cutting daily log volume by ~80 % and easing distributed system overhead.
This article explains why performance stress testing is essential, describes core metrics and the wrk tool, outlines a step‑by‑step testing workflow, analyzes bottlenecks, and presents concrete optimization measures that doubled the single‑machine QPS from 300 to 600 for a Nuxt‑based web service.
The article explains how automated performance testing using Alibaba Cloud PTS—integrated with VPC‑based Kubernetes clusters, GitLab CI/CD pipelines, and cloud APIs—overcomes the inaccuracy, coordination delays, and resource waste of manual testing by providing on‑demand, scalable load generation, scenario orchestration, real‑time metrics, and cost‑effective reporting.
This article explains key performance testing parameters such as concurrent users, TPS, response time, virtual users, and data volume, outlines essential monitoring metrics, details preparation steps and simple API testing procedures, and compares popular load‑testing tools like JMeter, Locust, and LoadRunner.
This article explains why website performance directly impacts business goals, outlines a four‑scenario testing framework (baseline, capacity, stability, and exception), and provides practical steps for environment setup, data preparation, parameterization, and execution using JMeter.
This article explains why automation testing often lags behind product changes, outlines essential load‑testing concepts such as bottleneck analysis and capacity planning, and provides hands‑on guidance for using Wrk and GoReplay tools within an SRE‑driven operations workflow.
This article explains Project Loom’s virtual threads, shows how to enable them in a Spring Boot 3.1 application with Java 20, provides code samples and performance test results that demonstrate dramatically higher throughput under high concurrency.
This article demonstrates how to generate, insert, and query millions of rows in a MySQL 5.7 table, measures pagination performance under varying offsets and result sizes, and presents several optimization techniques—including sub‑queries, indexed look‑ups, and column selection—to dramatically reduce query latency.
This article compares traditional databases with modern cloud‑native data warehouses, outlines a detailed performance testing methodology using the SSB1000 benchmark, presents test scripts and environment setup for Cloudwave and StarRocks, and analyzes the results to highlight strengths and optimization opportunities.
This guide explains how enterprises can select appropriate Alibaba Cloud ECS instance types using spec families or API queries, match them to workloads such as web services, big data, or AI, and verify capacity and performance through systematic PTS load testing and capacity planning.
This article demonstrates how to create a 10‑million‑row MySQL table, batch‑insert data via a stored procedure, measure ordinary LIMIT pagination versus offset‑optimized queries, and provides practical tips for improving query speed on massive tables.
This article presents the design and evaluation of the Remote Aware Load Balance (RALB) algorithm applied to JD’s search‑recommendation architecture, describing its CPU‑centric load‑balancing principles, implementation details, functional verification, throughput and boundary testing, and the observed improvements in CPU utilization and overall system performance.
Learn how Project Loom’s virtual threads can replace heavyweight OS threads in Java Spring Boot applications, enabling one‑thread‑per‑request models, improving throughput under high concurrency, with step‑by‑step setup, code samples, and performance comparisons across 100‑, 300‑ and 500‑thread tests.
This article presents a detailed practice report on the JSF 1.7.6 preheat strategy applied to JD's VOP platform, describing the background, test scenarios, deployment process, monitoring results with and without preheat, and concluding that dynamic preheat significantly reduces performance spikes during service rollout.
The article explains why software performance testing is essential, outlines a comprehensive testing workflow, reviews popular load‑testing tools, offers guidance on selecting the right tool, and lists the technical and analytical skills needed to become an effective performance testing engineer.
This article provides a comprehensive guide to RunnerGo's performance testing module, detailing plan management, various load test modes such as concurrency, step, error‑rate, response‑time, and requests‑per‑second, along with configuration options, execution workflow, and links to the open‑source repository.
This article outlines essential software testing points—including UI usability, functional correctness, performance load, security controls, and cross‑platform compatibility—explaining why enumerating each test item helps testers design comprehensive cases, detect defects early, and ensure reliable, secure, and user‑friendly applications.
Intel’s QuickAssist Technology (QAT) offers both Multi‑Buffer SIMD software acceleration and dedicated hardware offload to dramatically speed up TLS handshakes, with up to 5× faster RSA signing and 12× faster ECDH key exchange, while maintaining compatibility via OpenSSL’s async engine.
The QTest and QClient technical journey event on May 23, 2023 features multiple expert talks on performance testing, AI‑enhanced frontend engineering, Serverless visualisation, user‑behavior replay, and a new React framework, along with registration details, promotional items, and recruitment information.
This article presents a detailed overview of typical payment system architecture, describing the division between transaction and payment cores, their interactions, key modules such as transaction core, payment core, channel gateways, data consistency, service governance, and practical production considerations like performance testing and stability management.
This article describes how a bank’s IT team transformed its performance testing by defining intelligent platform capabilities, designing a modular architecture, and implementing features such as automated risk identification, smart test case generation, data synthesis, multi‑protocol support, chaos injection, and automated result analysis using JMeter, Prometheus, and custom plugins.
This article explains MOSN v1.5.0's latency‑based load‑balancing algorithm, analyzes the sources of latency in distributed systems, describes mitigation techniques such as PeakEWMA and P2C, and presents a realistic simulation that shows the algorithm’s superiority over Round Robin and Least Request.
This article explains how to use redis-benchmark for performance testing, compares single‑node and cluster throughput, and details Redis Cluster's hash‑slot architecture, including CRC16 hashing, slot allocation, scaling considerations, and operational nuances.
FinBench is a financial benchmark developed by Ant Group under the LDBC umbrella, providing a comprehensive graph system evaluation framework that includes background, scenarios, design, chokepoints, and future plans, aimed at guiding database selection for financial use cases.
This guide details KubeVela's three‑year evolution, presents a comprehensive load‑testing history, explains step‑by‑step configuration for high‑performance and robust control planes, describes various optimization techniques such as state‑persistence parallelism, AppKey indexing, informer cache reduction, direct cluster‑gateway connections and controller sharding, and summarizes extensive single‑shard, multi‑shard, multi‑cluster and large‑scale experiments that demonstrate v1.8's superior scalability and stability.
This article provides a comprehensive overview of software testing, covering its purpose, various test types such as functional, performance, security, compatibility, reliability, user experience, internationalization, and automation, as well as career prospects and essential skills for testers.
The guide outlines community-driven client‑side testing practices—functional, compatibility, exploratory, UX, performance, stability, and security testing—detailing tool use such as TeslaLab, automation and AI techniques, cross‑device and platform challenges, memory‑leak and crash analysis, and combined black‑box/white‑box approaches to improve app quality and data privacy.
This article outlines four practical QA scenarios—building a simple API automation framework, creating a Locust performance‑testing demo, writing functional test cases, and analyzing product requirements for hidden risks—while emphasizing how mastering ChatGPT can boost a tester's competitiveness.
This article shows how to generate tens of millions of rows in MySQL, measure insertion and pagination performance, and apply practical optimizations such as sub‑queries for large offsets and column selection to dramatically speed up queries on huge data sets.
The RunnerGo testing platform provides API debugging, automation, and performance testing through a multi‑service online architecture that includes management, engine, collector, front‑end, and various middleware components such as Redis, MySQL, MongoDB, Kafka, and Nginx, illustrated with architecture and process diagrams.
The article examines a real‑world incident where an unsafe Redis command caused a $4 million loss, then demonstrates performance testing with ten million keys, shows how to disable dangerous commands, replace KEYS with SCAN, and avoid big‑key issues for safer database operations.
The article explains how continuous testing, performance testing fences, acceptance test nets, and package‑dependency checks using tools like ArchUnit can create feedback loops that prevent architectural decay, improve quality, and support safe migrations in modern software projects.
This article provides software test engineers with 1‑3 years of experience a comprehensive roadmap to master fundamental testing skills, automation, performance, security testing, and essential programming languages, emphasizing systematic learning, practical application, and continuous improvement for career growth.
This report details the background, implementation, and results of using the JSF 1.7.6 dynamic preheat strategy to mitigate performance spikes during service deployments on JD's VOP platform, comparing scenarios with and without preheat and providing concrete monitoring data and configuration guidance.
This article explains what benchmarking is, introduces the JMH framework for Java, shows how to add JMH dependencies, walks through a simple "Hello JMH" example with full source and output, demonstrates using JMH with Spring Boot, details the most important options and annotations, and highlights common pitfalls to avoid when writing reliable micro‑benchmarks.
This article explains what performance testing is, its goals, key metrics, common test types, and provides a step‑by‑step guide—including tool selection, requirement clarification, environment setup, script design, execution, and result analysis—using the RunnerGo platform for newcomers.
This article analyzes the challenges of traditional system load testing, proposes an iterative testing workflow that enhances service and environment stability, reduces manpower and timeliness costs, aligns testing with business needs, and outlines the evolution of a full‑process testing model with practical feedback.
This article details a comprehensive performance testing workflow—including requirement analysis, script recording with BlazeMeter, data construction, iterative optimization, and final results—targeting a web application that must handle over 5,000 TPS with 2 million database records, highlighting bottlenecks in Redis, MySQL, and code logic.
This guide explains how to create, configure, and debug visual test scenarios in RunnerGo—using a login‑random‑value example to illustrate interface creation, conditional controllers, wait controllers, and scenario debugging for realistic performance testing workflows.
Continuous testing, performance testing fences, acceptance test nets, and ArchUnit dependency checks are presented as practical strategies to prevent software and architecture decay, illustrated with real project experiences, CI/CD integration, and code examples for robust quality assurance.
This step‑by‑step guide introduces JMeter, explains how to download and install it (including Java setup), walks through creating a simple test plan with thread groups, HTTP samplers, and listeners, and shows how to run and analyze results, enabling beginners to quickly start performance testing.
RunnerGo is an Apache‑2.0 licensed full‑stack testing platform built with Go and React that provides API testing, scenario automation, performance testing, and rich reporting, and the article details its features, technology stack, architecture, installation steps, configuration files, and open‑source repositories.
This tutorial explains how to use RunnerGo to set different concurrency levels for each interface of a news app by assigning interface weights, demonstrating the calculation of mixed concurrency and providing step‑by‑step instructions with screenshots.
This article explains performance testing fundamentals, why it matters, the specific challenges Yidun faced such as complex execution, human‑dependent monitoring, data isolation, and cost loss, and describes their automated, gradient‑based testing platform with quantified monitoring and future visualisation plans.
This article presents a detailed overview of payment system architecture, describing the transaction and payment cores, their interactions, service governance, asynchronous processing, data consistency, and practical production practices, while illustrating each concept with diagrams and code snippets.
This article explains the LSM‑Tree foundation of OceanBase, details its tiered and leveled compaction strategies, and presents two experiments that observe Mini and Minor compactions under different configuration parameters, revealing how minor freeze and trigger settings affect data movement between L0 and L1 layers.
This article presents a systematic method for evaluating and prioritizing stress‑test coverage in game projects, combining comprehensive “addition” techniques—such as QA requirement gathering, case‑library reference, test‑case review, and server‑architecture analysis—with precise “subtraction” methods to refine the final test set.
This article explains the definitions and differences between QPS and TPS, explores related concepts such as concurrency, throughput, PV, UV, DAU, MAU, and outlines practical methods for evaluating system performance and capacity planning.
This comprehensive guide introduces distributed tracing challenges in large microservice systems, explains what Apache SkyWalking is, compares it with Zipkin, Pinpoint and CAT, details performance test results, walks through installation, configuration, custom tracing, log integration, alerting, and high‑availability deployment.
This article details the technical architecture, testing workflow, performance standards, and monitoring strategies Taobao uses to ensure low‑latency, high‑quality 3D cloud‑rendered experiences in its Future City virtual commerce platform.
Yidian Tianxia tackled massive daily data volumes and complex analytics by defining a five‑layer data‑warehouse standard, comparing ClickHouse and StarRocks performance, and implementing a unified real‑time/offline architecture with StarRocks, DataPlus, and EasyJob, achieving multi‑fold query speedups and lower operational costs.
This article details how SelectDB’s data technology architect designed and implemented a new stream‑batch unified data platform using Apache Doris, covering the shortcomings of the early CDH‑based architecture, the selection process, data modeling, ingestion pipelines, performance testing, operational optimizations, and future plans.
The article outlines three common pressure‑testing challenges—how to extract test points, how to obtain realistic target metrics, and how to design test strategies—then demonstrates single‑scenario load, mixed‑business load, and long‑duration stability tests using JMeter with stepwise thread ramp‑up and metric analysis.
This article compiles a comprehensive set of software testing interview questions covering test planning, test case design, bug identification, communication with developers, PO pattern usage, automation frameworks, API testing, performance testing, and related best‑practice answers to help candidates prepare effectively.
This guide explains how to use Java's java.lang.management APIs to retrieve real-time JVM CPU usage, system load averages, garbage collection details, and heap/non‑heap memory statistics, providing code snippets and practical usage scenarios for performance testing and resource allocation.
This guide explains how to prepare a Go environment, install and configure the goreplay (gor) tool, capture real HTTP traffic from production, and replay it in a test environment with options for filtering, scaling, looping, and real‑time playback to achieve accurate performance testing.
For Taobao’s 2022 Double 11 interactive games, a comprehensive QA approach combined online stress testing, reinforcement‑learning‑driven case generation, and systematic fault injection—addressing high‑concurrency, data‑consistency, and client‑performance risks through traffic shaping, data and middleware isolation, and automated tools (Wali, DaBai) that delivered over 60 smoke cases, 76 % coverage and 82.6 % fault detection.
The article explains performance testing as a non‑functional testing activity within continuous testing, describes its various types, compares process/thread/coroutine execution models, evaluates tools like LoadRunner, JMeter and Locust, and outlines desired features for container‑friendly performance testing solutions.
This article introduces Turbopack, a Rust‑based successor to Webpack, explains its incremental caching, on‑demand compilation, SWC compiler, persistence and import support, demonstrates its speed advantages with Next.js benchmarks, and discusses current ecosystem challenges and future prospects.
The article outlines a comprehensive stability‑assurance framework for large‑scale promotional events—detailing planning, capacity and pressure‑test rehearsals, strict change‑freeze, internal gray releases, coordinated on‑call response, thorough link and capacity analysis, monitoring, emergency procedures, cross‑team collaboration, external partner coordination, and post‑event review to ensure resilient system performance.
To ensure Kun’s Flutter‑based container upgrades improve Xianyu’s user experience, we introduced a layered performance testing framework that defines industry‑standard metrics, component‑ and business‑level benchmarks, multi‑dimensional stress and regression checks, automated scripts, expanded device pools, and streamlined task creation, delivering faster insights, higher stability, and actionable optimization feedback.
The study benchmarks Tencent Cloud KeeWiDB with YCSB workloads, showing that its Redis‑compatible KV service delivers up to 149 k QPS reads and 127 k QPS writes for 128‑byte strings, out‑performing self‑built Pika and Redis clusters, though larger values suffer bandwidth throttling, confirming KeeWiDB as a low‑cost, high‑performance option for small‑value, read‑heavy use cases.
This tutorial walks through setting up an Elasticsearch server, creating a Java REST client, implementing a custom GET‑with‑body request, building a reusable ESClient wrapper with common CRUD and search methods, and providing Groovy performance test cases for indexing and querying.
Facing rapid growth and high write loads, HuoLala replaced HBase with kvrocks for trace data storage, evaluating Leveled, Universal, and FIFO compaction strategies, optimizing configurations, and ultimately achieving stable operation with up to 70 k QPS, near‑hundred terabytes of data, and a 55% cost reduction.
This article explains key system performance testing metrics such as response time, concurrency, click‑through rate, throughput, TPS/QPS, PV/UV, and details essential Linux server indicators like CPU usage, memory utilization, load average, and disk I/O, providing formulas, interpretation guidelines, and useful command‑line tools.
Facing hundreds of terabytes of daily monitoring data, Huawei Cloud SRE replaced HBase with the open‑source time‑series database openGemini, conducting extensive write and query performance tests that demonstrated linear scaling, superior query speed, and significant reductions in storage, CPU, and memory usage.
A low‑load performance test compares three ways of selecting an array index—using Math.random(), a sequential int counter, and AtomicInteger—revealing that the random‑number approach consumes significantly more CPU while AtomicInteger spikes memory usage under higher loads.
To cope with the multi‑stage, feature‑rich and rapidly iterated NetEase News recommendation pipeline, the QA team introduced detailed stage logging, controllable recall and user‑profile injection, configurable filters, forced‑push mechanisms, an integrated performance‑testing platform, automated case configuration, centralized requirement tracking, and self‑test tools, dramatically boosting testing quality and efficiency while outlining future automation goals.
