This article evaluates the efficiency of inserting massive datasets into MySQL using three Java strategies—MyBatis without transactions, direct JDBC with and without transactions, and JDBC batch processing—by measuring execution times for millions of records and analyzing the impact of transactions and batching.
Bilibili’s S12 technical guarantee team coordinated dozens of engineering groups, performed resource estimation, built a shared resource pool, applied chaos engineering, high‑availability architecture, and systematic performance testing to ensure the League of Legends World Championship livestream remained stable and responsive under peak traffic.
This guide explains what performance testing is, why it’s essential, the key metrics such as throughput, response time, and bandwidth, outlines a step‑by‑step testing process, compares load, stress, endurance and capacity testing types, and reviews popular tools like JMeter, LoadRunner and NeoLoad.
This article presents a comprehensive overview of payment system architecture, detailing the core transaction and payment modules, system interactions, service governance, data consistency strategies, asynchronous processing, and practical production practices such as performance testing, stability management, and service isolation.
The author stress‑tested Milvus 2.1.4’s cloud‑native, micro‑service architecture—detailing its write and search paths, evaluating FLAT index performance across 100 K to 10 M 512‑dim vectors, uncovering scaling, scheduler, segment‑rebalance, and upgrade issues, and concluding the system is robust but benefits from graph‑based indexes and Helm‑driven scaling.
This article provides a comprehensive guide on allocating hardware resources, calculating cluster size based on data volume, and conducting index and search benchmark tests for Elasticsearch, offering practical formulas, test configurations, and performance conclusions to help engineers design stable, high‑throughput clusters.
This article explains how Java architects should select appropriate MySQL database machine configurations, collaborate with DBAs for deployment, and conduct essential performance and load testing, covering QPS vs TPS, IOPS, throughput, latency, and other critical metrics for production environments.
This article reviews the practical applications and experimental explorations of StarRocks at 360, describing the cloud‑native lake‑warehouse product Yunzhou, its three‑tier architecture, performance comparisons with Trino using TPCH 100 GB, challenges of Kubernetes integration, and future directions for storage‑compute separation.
This guide outlines practical steps for selecting devices, weighing real devices versus emulators, leveraging cloud and network testing, and conducting UX, performance, and security checks to ensure high‑quality mobile app deployments in today’s fast‑paced digital landscape.
This tutorial explains how to use the open‑source MQTT broker EMQX together with Apache JMeter to create, configure, and run performance tests for IoT platforms, covering installation, test plan creation, and result analysis.
Shopee’s scalable fund‑routing decision engine combines a configurable Go‑based rule engine with Redis‑backed, Lua‑driven quota control to dynamically match loan orders to external capital providers, enforce multi‑dimensional volume limits, achieve tens of thousands TPS, and provide extensible risk‑management capabilities across markets.
This article explains how the Intel istio‑tcpip‑bypass plugin leverages eBPF to bypass the host TCP/IP stack for intra‑node pod communication, provides environment setup, step‑by‑step deployment commands, and shows benchmark results that demonstrate 40‑80% latency reduction and throughput improvement.
This article describes how to efficiently test billions of API parameter combinations by replacing naive nested loops with a queue‑based concurrent approach, dynamically controlling QPS, and addressing memory‑pressure issues using thread‑safe data structures.
This article explains why interface testing is essential for game quality and security, and provides a detailed, step-by-step methodology—including planning, analysis, test case design, execution, result verification, and automation—to help QA teams efficiently test server APIs and prevent player cheating.
This document outlines the background, objectives, scenarios, strategies, TPS estimations, metric definitions, step‑by‑step testing process, component selection, script examples, various execution modes (GUI, CLI, distributed, Docker), and the monitoring architecture built with JMeter, InfluxDB, Prometheus, and Grafana for a large‑scale long‑connection service.
This article presents a detailed performance test of inserting massive data into MySQL with Java, comparing three strategies—MyBatis lightweight insertion without transactions, direct JDBC handling with and without transactions, and JDBC batch processing—showing timing results for millions of rows and offering practical recommendations for high‑throughput data loading.
OpenYurt v1.0, released on September 9, introduces API governance improvements, expanded test coverage with CodeCov, performance testing for Yurthub, streamlined installation, and outlines future enhancements across ControlPlane, DataPlane, and IoT SIGs, with detailed GitHub project links for each.
HiMock is a comprehensive mock platform designed to overcome traditional mock limitations by offering low‑code, code‑decoupled, high‑performance, and full‑scenario support across multiple protocols and front‑end/back‑end channels, enabling efficient testing, performance benchmarking, and parallel development for complex services such as bike, e‑bike, and ride‑hailing.
This article explains Java parallel streams, shows how to replace manual thread handling with a one‑line parallelStream call, benchmarks its performance, discusses cases where it slows down, highlights shared‑variable hazards, and provides practical guidelines for effective use.
This article explains the definitions, objectives, importance, and various types of stability and reliability testing—including stress, recovery, failover, and stability tests—while highlighting how these practices reduce system failures, improve MTBF/MTTR, and support informed decision‑making for software quality assurance.
This technical report details the requirement analysis, environment setup, monitoring tools, load‑test scripts, data design, execution results, and optimization recommendations for stress‑testing ClickHouse and Elasticsearch to ensure they can handle high‑concurrency business peaks.
This article describes the design, hardware and software setup, implementation, testing phases, and performance analysis of a Go‑based backend system that simulates a Spring Festival red‑envelope service capable of handling up to 10 billion requests with peak loads of 60 k QPS per server.
This article explores the QPS threshold required to expose thread‑unsafe operations such as i++ by designing a SpringBoot service, running controlled load tests with both fixed‑thread and precise‑QPS models, and presenting detailed results that show how error rates increase with higher request rates.
This article explains the business‑driven need for regular load‑testing in e‑commerce, outlines the preparation steps, compares onsite, scheduled and hybrid testing approaches, and shares practical results and future plans for achieving efficient, low‑cost, and reliable performance verification.
This article details a comprehensive performance‑testing and optimization effort for a high‑traffic site‑service system, covering hardware setup, CAT monitoring integration, bottleneck identification, Spring Gateway and Netty tuning, asynchronous logging, and the resulting dramatic improvements in QPS and response times.
The article outlines Baidu’s intelligent testing framework, detailing five advanced techniques—contract‑testing‑driven automatic assertion generation, time‑sliced C++ memory‑leak detection via DTW and decision trees, dynamic‑threshold performance diff detection, machine‑translation‑based functional assertion completion, and visual UI diff with and without reference—each boosting accuracy and efficiency in test analysis.
This article explains the design and implementation of a timestamp‑based log replay engine that replays HTTP traffic using Java's DelayQueue, thread pools, and custom data structures, and provides performance test results demonstrating its ability to handle hundreds of thousands of requests per second.
This article provides a comprehensive technical overview of OpenMLDB, covering its overall architecture, online real‑time SQL execution and storage engines, core data structures, pre‑aggregation techniques, and performance test results that demonstrate millisecond‑level latency for feature computation.
This article walks through practical Go implementations of Redis list commands—including LPush, RPush, LLen, LRange, and others—provides unit test examples, demonstrates a simple performance benchmark, and shares a reusable wrapper library for streamlined backend development.
This article explains why pooling costly resources like database connections improves performance, introduces the Commons Pool 2 library and its core classes, demonstrates a Jedis pool with JMH benchmarks showing a 5× throughput boost, and dives into HikariCP's optimizations, configuration tips, and common interview questions.
This article explains why service rate limiting is essential for protecting backend systems from traffic spikes, outlines global, tag‑based and dynamic throttling models, compares common algorithms, shows TSF’s architecture and configuration, and provides practical testing and scaling guidance for high‑traffic e‑commerce scenarios.
This article analyzes the challenges of data‑burst scenarios in a data‑push platform, evaluates traditional throttling methods, presents JVM‑level tuning and a custom heap‑usage based flow‑control mechanism, and validates the solution through extensive pressure testing, demonstrating significant reductions in full GC frequency and overall push latency.
This article presents Ctrip's experience migrating over 2 PB of cold data to JuiceFS, detailing the system's architecture, metadata engine selection, extensive performance testing, fault‑tolerance analysis, and operational optimizations that reduced storage and maintenance costs while supporting future petabyte‑scale workloads.
This article explains what performance testing is, when to conduct it, typical scenarios, step‑by‑step execution—including requirements, test design, tool selection, script examples with Locust, result analysis, and key metrics such as throughput, response time, P90, and optimal concurrency.
This article explains how to combine dynamic and static performance testing models in FunTester by adding asynchronous console commands to control thread‑pool scaling and QPS adjustments, providing step settings, incremental changes, and graceful termination through simple key inputs.
This article examines the implementation of java.util.concurrent.DelayQueue for high‑throughput performance testing, presents a custom Delayed object, shares benchmark code and results across various thread counts, and concludes that DelayQueue can sustain several million QPS when properly tuned.
Bilibili automated full‑link pressure testing for its high‑traffic live‑stream gifting service by adopting traffic co‑location with storage isolation, creating shadow tables, keys and topics, and building a three‑phase, three‑layer framework that analyses links, confirms configurations, and verifies end‑to‑end behavior across all services.
This article presents a comprehensive traffic verification platform that intercepts, records, stores, replays, and load‑tests online request flows to validate functional correctness and performance before cutting traffic to new order‑processing services, offering detailed design, implementation, and practical usage guidance.
This article introduces twelve practical Linux operation tools—including Nethogs, IOZone, IOTop, IPtraf, IFTop, HTop, NMON, MultiTail, Fail2ban, Tmux, Agedu, and NMap—detailing their purpose, installation steps, and usage commands to help system administrators efficiently monitor and secure their servers.
The article examines the MySQL class com.mysql.cj.jdbc.MysqlConnectionPoolDataSource, revealing that despite its name it creates new connections each request and only recycles idle ones, provides a practical Groovy example, highlights pitfalls such as duplicate setURL methods, and concludes it’s unsuitable as a true pool for testing.
To ensure reliable performance‑testing data despite fluctuating ambient temperatures, the team designed and assembled a low‑cost, Arduino‑controlled temperature chamber for mobile devices, detailing the hardware architecture, circuit design, component list, code implementation, and thermal‑insulation optimizations.
Bilibili’s full‑chain load‑testing architecture embeds a unique scenario identifier in every request, propagates it through RPC, databases, caches and async queues, isolates production data via shadow resources, and provides a transparent SDK, link analyzer and mock server, enabling comprehensive testing that uncovered dozens of issues and boosted live‑streaming TPS by 140 % without major code changes.
This article explains the DBLE split feature that partitions large mysqldump files according to sharding configuration, provides command syntax and usage examples, and presents a performance test showing that split‑based import can be up to 18 times faster than direct DBLE import while preserving data correctness.
The article analyzes two common random‑number scenarios in software testing, identifies a CPU‑heavy custom random method, benchmarks ThreadLocalRandom, AtomicInteger, and plain int implementations under multi‑ and single‑thread loads, and proposes a lightweight AtomicInteger‑based selector that consistently delivers the best performance.
This article walks through designing three Redis Stream performance test cases—adding, reading, and add‑delete—using dynamic thread and dynamic QPS models in Java, provides complete Groovy‑based test code, and shows sample console output for evaluating throughput and latency.
This article walks through building a gRPC server and client in Java, then demonstrates four performance‑testing models—static thread, static QPS, dynamic thread, and dynamic QPS—detailing the code, configuration, and execution steps for each, while explaining why the blocking stub is preferred for metric collection.
This article explains how to design and implement a high‑concurrency system for e‑commerce scenarios, covering server architecture, load balancing, database clustering, caching strategies, concurrency testing tools, message‑queue based async processing, first‑level cache, static data handling, layering, distribution, redundancy and automation, with concrete examples such as user sign‑in, order queries and red‑packet distribution.
Bilibili’s senior test engineer Lu Kai built a platformized live broadcast stress‑testing system with five modules—metadata collection, task configuration, pressure generation, performance data collection, and reporting—that reuses thousands of cases, simulates high‑QPS traffic, detects hundreds of bugs and memory leaks, and improves iOS and Android app performance for major events.
A comprehensive catalog of performance testing articles ranging from Linux monitoring tools and test frameworks to concurrency utilities, distributed load testing strategies, QPS modeling and language-specific benchmark studies, providing developers with practical insights and techniques for optimizing system performance.
This article provides a thorough overview of server performance testing, covering fundamental concepts, the influence on users and revenue, key metrics, various test types, a step‑by‑step testing workflow, and a comparative analysis of popular performance testing tools.
The document details Apollo's mobile exception monitoring SDK, explaining its business background, provided capabilities, step‑by‑step workflow, configuration specifications, example rules, performance verification results, and real‑world case studies that demonstrate rapid issue detection and resolution during high‑traffic events.
This article details Bilibili's SRE approach to large‑scale live events, covering background, activity scenarios, resource planning, performance testing, chaos‑engineering drills, technical safeguards such as DCDN, SLB, WAF, PaaS, cache and DB, pre‑plan capabilities, post‑mortem analysis, and future outlook, illustrating how systematic capacity management and automated resilience practices enable stable operation for events with tens of millions of concurrent users.
Learn how to configure Logback in Spring Boot to separate logs by level, implement asynchronous logging for reduced I/O latency, and verify performance gains—up to tenfold throughput improvement—using JMeter tests on a six‑core, 8 GB server, with detailed XML snippets and code explanations.
This guide shows how to download, configure, and run Apache JMeter on a Windows machine to generate 20,000 HTTP requests locally by setting up a thread group, adding an HTTP sampler, and using listeners such as the Aggregate Report to analyze the load‑test results.
This article presents a comprehensive performance testing case study of a multi‑table database query interface, detailing common performance metrics, response‑time classifications, step‑by‑step load‑test results, root‑cause analysis of CPU, memory, and connection‑pool bottlenecks, and demonstrates how tuning Druid’s maxActive and maxWait parameters optimizes throughput and reduces latency.
The article details JD International's technical preparation for the 618 sales event, covering operational planning, DDoS mitigation with Cloudflare, performance testing methodologies, cross‑team collaboration, and real‑time monitoring to ensure system stability and a seamless shopping experience across multiple regions.
This article explains what load testing is, why it matters, the main testing types, essential terminology, compares popular tools, offers step‑by‑step guidance for selecting a tool, and presents detailed real‑world Java performance problem case studies with commands and analysis techniques.
This article details a performance evaluation of Apache Commons Pool2 on a MacBook Pro, comparing no‑wait and wait scenarios, presenting QPS results, identifying bottlenecks in LinkedBlockingDeque and AtomicLong, and outlining the test setup, code, and conclusions.
Web Functions, which support native HTTP/WebSocket protocols, traditionally handle each request with a dedicated instance, but this single‑request concurrency wastes resources and raises costs for I/O‑intensive workloads; enabling multi‑request concurrency—either static or dynamic—consolidates many requests onto fewer instances, cutting latency by up to 80 % and reducing billing by as much as 98.8 %.
Evaluating the Cloud Music online estimation system on NUMA‑based servers revealed that CPU pinning across both memory nodes dramatically boosts throughput on high‑end 96‑core machines—up to 75% for complex models—while low‑end servers gain only modestly, confirming NUMA‑aware scheduling’s critical role for CPU‑intensive inference workloads.
This article explains the importance of conducting full‑link load testing in production environments, outlines the evolution and solution architecture, describes key technologies such as traffic coloring, data isolation and risk control, and shares practical implementation steps and customer case studies from Alibaba.
This article explains how WKMS addresses rising data‑protection regulations by offering a hierarchical key‑management service, masking SDK, AES‑based encryption, robust disaster‑recovery, and high‑throughput performance testing, illustrating a secure yet scalable solution for modern enterprises.
The article summarizes the 28th 58 Technology Salon held on April 27, 2022, featuring presentations on R&D efficiency measurement and mobile quality assurance, including detailed Q&A sessions that discuss metrics, data handling, performance testing tools, and practical improvements for development and testing teams.
This article explains why weak‑network testing is essential for mobile games, defines the key network parameters such as bandwidth, packet loss, latency and jitter, illustrates typical problems caused by poor connectivity, and introduces practical testing methods and tools like NetFree.
This article introduces Java Microbenchmark Harness (JMH), explains why warm‑up is needed, walks through project setup with Maven, demonstrates benchmark code for LinkedList iteration, details common JMH annotations, shows how to run and interpret results, and concludes with practical usage tips, while also mentioning a promotional book giveaway.
Kuaishou's Y‑tech team built an automated detection platform that statically analyzes effect assets, dynamically renders them on a server, and runs real‑device performance tests, using a task queue, Kafka and RMQ to ensure high‑quality AR effects across multiple products.
This article explains a refined approach for implementing QPS and response‑time samplers in a Java performance‑testing framework, covering static and dynamic load models, the use of LongAdder, thread‑count utilities, and detailed code examples for reliable metric collection.
This article presents a comprehensive optimization of video caching on iOS, detailing background analysis, a dynamic concurrency design based on network conditions and device performance, test results showing up to 2.5‑fold speed gains, and the core implementation code.
This article presents a systematic performance comparison of several Linux file‑transfer utilities—including scp, ftp, sftp, rsync, tftp, nc, and a Python SimpleHTTPServer—by measuring transfer times for a 50 GB single file and 51 GB spread across 51 200 one‑megabyte files, and discusses each tool’s speed, compression, encryption, and typical use cases.
This article describes how ZhongAn Insurance’s JiZhi data‑analysis platform migrated from ClickHouse to the MPP OLAP engine StarRocks, detailing the business requirements, architectural challenges, benchmark results across single‑table and multi‑table queries, and the resulting improvements in latency, concurrency, and operational simplicity for real‑time analytics.
Integrating a dynamic load‑testing model into the OKR workflow dramatically streamlines performance testing by allowing flexible pressure control, manual intervention at safe thresholds, and reducing the fatigue and errors associated with traditional static ramp‑up strategies.
This article presents a detailed evaluation of Intel® Optane™ Persistent Memory, including benchmark comparisons with DRAM and NVMe using Redis and RocksDB workloads, analysis of latency and throughput, and step‑by‑step configuration instructions for Memory Mode, App Direct, and KMEM DAX.
This article outlines the background, analysis, design, testing strategy, migration plan, and production quality results for implementing horizontal sharding, table splitting, and Elasticsearch integration in a growing enterprise database system.
The author shares a deep‑dive performance analysis of the FunTester framework, comparing Java and Groovy implementations, detailing JVM tuning, hardware usage, and practical tips that enabled a single Groovy process to sustain 110,000 QPS while outlining when distributed testing and connection‑pool sizing become necessary.
This article evaluates single‑threaded bulk‑insert performance in MySQL by testing various batch sizes, analyzes memory usage and transaction merging, and provides practical recommendations for efficiently generating millions of records.
This article explains how to configure Logback in a Spring Boot application to separate logs by level, implement asynchronous logging with AsyncAppender, and compare performance using JMeter, demonstrating a tenfold throughput increase while providing detailed XML configuration examples and underlying implementation details.
This article explains how Java's LongAdder works, compares its API and performance to AtomicLong, provides usage examples and a benchmark showing its superior throughput under high thread contention, while noting its higher memory cost and appropriate scenarios for adoption.
This article details a step‑by‑step engineering experiment that reproduces a high‑throughput "red‑envelope" service, outlining the required hardware, software stack, load‑generation logic, monitoring setup, and performance results for handling up to 6 000 QPS on a 100‑million‑user scale.
When using the Disruptor library for high‑throughput testing, the default FatalExceptionHandler can repeatedly abort consumer threads on exceptions, causing QPS to drop to zero, but replacing it with an ignore handler or a custom implementation restores stability.
This article outlines essential considerations such as reward distribution, timing, resource reuse, performance and compatibility, and presents practical testing techniques—including design‑doc review, code review, tool usage, process control, and communication—to ensure robust and stable festival event releases in online games.
The article compares MySQL’s relational tables with MongoDB’s schema‑free documents, detailing equivalent concepts, CRUD syntax, and benchmark results that show MongoDB achieving higher write and query throughput, easier schema evolution, and built‑in sharding, recommending it for new agile projects while suggesting MySQL remain viable for legacy systems.
This collection compiles dozens of Chinese articles on performance testing, covering tools, frameworks, case studies, and techniques such as netdata monitoring, load generators, concurrency utilities, distributed testing, QPS modeling, and comparisons of JMeter, K6, Gatling, and FunTester.
This article details the design, implementation, and performance testing of a scalable red‑envelope service capable of handling up to 100 billion requests, supporting 1 million concurrent users per server, achieving peak QPS of 60 k, and outlines hardware, software, and monitoring strategies.
This article introduces Java Microbenchmark Harness (JMH), explains why warm‑up is needed, shows how to build a benchmark project with Maven, provides a complete LinkedList iteration benchmark example with all relevant JMH annotations, demonstrates execution commands, and interprets the resulting performance reports.
The article compares popular Java microservice frameworks, highlighting Spring Boot's ease of use but high memory consumption, Vert.x's lightweight performance, and the characteristics of SparkJava, Micronaut, Javalin, and Quarkus, while also noting required infrastructure components for Spring Cloud.
This article walks through the design and practical implementation of a high‑throughput red‑envelope service capable of handling 10 billion requests, covering target load calculations, hardware and software choices, client‑server coordination, performance testing, monitoring, and key takeaways for building scalable backend systems.
This article details a practical backend engineering experiment that reproduces the massive load of 100 billion WeChat red‑packet requests by simulating one million concurrent users on a single machine, covering target metrics, hardware/software choices, architecture, implementation steps, performance testing, and analysis of the results.
This article details a practical backend design and stress‑test that simulates 1 million concurrent users handling 100 billion WeChat red‑packet requests, covering load calculations, Go‑based implementation, QPS targets, monitoring, and performance analysis.
This article investigates MySQL's recommendation to avoid UUIDs as primary keys by benchmarking auto‑increment, UUID, and random snowflake IDs using Spring Boot and JdbcTemplate, analyzing insert speed, InnoDB index behavior, and the trade‑offs of each key strategy.
This article describes a cloud‑native offline mixed‑deployment solution that leverages Kubernetes to share resources between big‑data clusters and business services, outlines its implementation steps, presents detailed performance comparisons between Yarn and Kubernetes using TPC‑DS, Spark, and Terasort workloads, and discusses production experience and future plans.
The author recounts how feeling stuck in API testing led to exploring full‑chain load testing, switching jobs to focus on high‑scale performance engineering, adopting Go and new frameworks, and setting ten‑fold goals that transformed career stagnation into rapid professional growth.
This article details a step‑by‑step engineering effort to model and benchmark a high‑throughput red‑packet service capable of handling 10 billion requests, covering target metrics, hardware setup, Go implementation, load generation, monitoring, and performance analysis.
This article details the step‑by‑step design, architecture, plugin configuration, authentication methods, code implementation, and performance testing of a Kong‑based API gateway built to handle millions of QPS during large‑scale events, highlighting challenges, solutions, and future directions.
This article explains how to write automated test case scripts for game development, distinguishing good and bad test cases, detailing script language selection, state‑machine based Lua examples, timer usage, AI‑driven testing, performance and version checks, and best practices for maintainable, reliable automation.
The 2021 year‑end summary details FunTester’s rapid growth, the expansion of its public account, major performance upgrades reaching over 100 k QPS, the design of a distributed testing framework, dynamic load models, log‑replay innovations, and the author’s deep dive into Go, Java and Groovy.
The article presents a detailed 19‑section knowledge map for software architects, covering everything from core responsibilities and fundamentals to distributed caching, messaging, load balancing, performance testing, OS, algorithms, networking, databases, JVM, micro‑services, DDD, security, high availability, big data, and blockchain, with visual mind‑maps for each topic.
This article explains how to design and evaluate system capacity by defining key metrics such as QPS, TPS and concurrency, describing when capacity assessment is needed, and outlining a step‑by‑step methodology—including traffic analysis, peak estimation, stress testing and redundancy planning—to ensure reliable performance under varying load conditions.
This guide shows how to configure Fluent Bit to collect Kubernetes container logs, develop a Go‑based ClickHouse output plugin, deploy the pipeline with ConfigMap, RBAC and DaemonSet resources, define the ClickHouse table schema, and evaluate performance across different log rates.
The article guides readers from grasping hardware, OS, and software layers—including Intel Xeon, virtualization, VPC, and containers—to gathering performance data with tools like JProfiler and perf, then applying data‑driven optimization across business logic, architecture, code, caching, databases, runtime and hardware, illustrated by real‑world case studies and emphasizing continual learning.
This article explains how Youku’s weak‑network testing platform models real‑world low‑bandwidth scenarios, standardizes network degradation levels, and uses both hardware and software controls to improve video streaming quality across Android, iOS and other client devices.
