Tagged articles

Performance Optimization

2086 articles · Page 12 of 21

Sep 12, 2022 · Databases

How ByteHouse Transforms ClickHouse for Complex Queries: Multi‑Stage Execution and Real‑World Optimizations

This article explains how ByteHouse, a heavily optimized fork of ClickHouse, introduces a multi‑stage execution model, advanced exchange mechanisms, and runtime filters to overcome the limitations of the original two‑stage query flow, delivering significant performance gains for complex joins, aggregations, and large‑scale analytics workloads.

ByteHouseClickHouseDatabase Engineering

0 likes · 22 min read

How ByteHouse Transforms ClickHouse for Complex Queries: Multi‑Stage Execution and Real‑World Optimizations

Xiaohongshu Tech REDtech

Sep 8, 2022 · Frontend Development

Technical Overview of Xiaohongshu Mini‑App Runtime Architecture and Engineering

The Xiaohongshu mini‑app runtime uses a dual‑thread container separating a Render UI layer and a Service logic layer, linked by a serialized Bridge, with unified iOS/Android containers, Webpack‑based build outputs, priority‑queued messaging, pre‑loading, and AOP performance monitoring to provide fast, scalable, merchant‑focused mini‑apps.

Mini AppPerformance OptimizationXiaohongshu

0 likes · 17 min read

Technical Overview of Xiaohongshu Mini‑App Runtime Architecture and Engineering

Alibaba Cloud Developer

Sep 8, 2022 · Backend Development

Boosting Template Rendering 10×: Replace String.replace with StringBuilder

By analyzing the Alipay card‑package template substitution logic, the author identified costly String.replace calls and iteratively applied five optimization versions—removing indexOf/substring, adding caching, and finally substituting StringBuilder for String.replace—achieving over tenfold performance gains and reduced resource consumption.

CachingJavaPerformance Optimization

0 likes · 9 min read

Boosting Template Rendering 10×: Replace String.replace with StringBuilder

ByteDance Cloud Native

Sep 2, 2022 · Big Data

How ByteDance’s Cloud Shuffle Service Boosts Big Data Job Stability and Performance

ByteDance’s Cloud Shuffle Service (CSS) replaces the traditional Pull‑Based Sort Shuffle in Spark, FlinkBatch and MapReduce with a Push‑Based remote shuffle that improves stability, performance and elasticity, supports compute‑storage separation, and delivers significant speedups in large‑scale TPC‑DS benchmarks.

Performance OptimizationRemote ShuffleShuffle Service

0 likes · 11 min read

How ByteDance’s Cloud Shuffle Service Boosts Big Data Job Stability and Performance

Code Ape Tech Column

Aug 29, 2022 · Backend Development

Seven Common Spring Boot Performance Optimization Techniques

This article presents seven practical Spring Boot performance optimization methods—including asynchronous execution, increasing embedded Tomcat connection limits, component scanning, switching to Undertow, using BufferedWriter, DeferredResult, and AsyncHandlerInterceptor—each illustrated with code samples and explanations for improving Java backend applications.

JavaPerformance OptimizationSpring Boot

0 likes · 12 min read

Seven Common Spring Boot Performance Optimization Techniques

Qunhe Technology Quality Tech

Aug 25, 2022 · Operations

How We Scaled Litmus CI: From 100 to 2,000 Daily Tasks

This article details how the Litmus code‑quality platform was integrated into a CI pipeline, the performance bottlenecks encountered with Jenkins and Sonar, the systematic optimizations applied—including server redesign, script refactoring, parallel testing, and JVM tuning—and the resulting dramatic reduction in task duration and increase in throughput.

CIDevOpsJenkins

0 likes · 9 min read

How We Scaled Litmus CI: From 100 to 2,000 Daily Tasks

Architect's Guide

Aug 24, 2022 · Backend Development

Optimizing Long‑Connection Services with Netty: From Millions of Connections to High QPS

This article summarizes the challenges and optimization techniques for building a high‑performance long‑connection service with Netty, covering non‑blocking I/O, Linux kernel tuning, client‑side testing, VM‑based scaling, data‑structure tweaks, CPU and GC bottlenecks, and the final results of achieving hundreds of thousands of connections and tens of thousands of QPS on a single server.

GC TuningJava NIOLinux Tuning

0 likes · 14 min read

Optimizing Long‑Connection Services with Netty: From Millions of Connections to High QPS

37 Interactive Technology Team

Aug 23, 2022 · Big Data

Optimizing Game Event Reporting with Stream Processing to Overcome ClickHouse Performance Bottlenecks

Faced with ClickHouse query times ballooning to over an hour for massive game‑event data, the team replaced the DB‑pull model with a stream‑processing pipeline that evaluates trigger rules in real time, cuts batch queries by 60 %, and brings reporting latency down to minutes.

ClickHouseGame AnalyticsPerformance Optimization

0 likes · 6 min read

Optimizing Game Event Reporting with Stream Processing to Overcome ClickHouse Performance Bottlenecks

Baidu Geek Talk

Aug 22, 2022 · Mobile Development

How Baidu Optimized Low‑End Device Startup Performance: A Deep Dive

This article explains how Baidu's performance team tackled the slowdown of mobile internet growth by defining low‑end devices, building observability, creating high‑efficiency tooling, redesigning key components such as KV storage and locks, and introducing a smart scheduling framework that together reduced Android cold‑start TTI by over 50% and iOS cold‑start TTI by more than 40%, while establishing a continuous anti‑degradation pipeline.

Mobile DevelopmentPerformance OptimizationStartup time

0 likes · 20 min read

How Baidu Optimized Low‑End Device Startup Performance: A Deep Dive

Alipay Experience Technology

Aug 22, 2022 · Mobile Development

How Alipay Engineers Built a Fine‑Grained Scheduling System for Mobile Apps

This article details Alipay's evolution from basic thread pools to a sophisticated, multi‑layered scheduling framework that balances UI responsiveness, task prioritization, and resource control across Android devices, while outlining the technical challenges and future directions of fine‑grained scheduling.

AndroidPerformance Optimizationtask scheduling

0 likes · 13 min read

How Alipay Engineers Built a Fine‑Grained Scheduling System for Mobile Apps

Alipay Experience Technology

Aug 18, 2022 · Backend Development

How cnpm rapid Accelerates npm Installations by Up to 10× with FUSE and Overlay

This article explains the implementation principles of cnpm rapid mode, demonstrates how server‑side dependency‑tree generation, high‑speed downloading, tar‑based disk I/O, and a FUSE‑backed overlay filesystem together achieve up to ten‑fold faster npm installations and seamless CI/CD integration.

CI/CDFUSENode.js

0 likes · 14 min read

How cnpm rapid Accelerates npm Installations by Up to 10× with FUSE and Overlay

php Courses

Aug 18, 2022 · Mobile Development

Understanding the Dual‑Thread Architecture of WeChat Mini Programs: Model, Components, Runtime, and Optimization

This article explains the dual‑thread architecture of WeChat Mini Programs, covering the separation of view and logic layers, component systems, native component rendering, data communication, runtime mechanisms, and a series of performance‑optimisation techniques for developers.

Component SystemDual-Thread ArchitecturePerformance Optimization

0 likes · 32 min read

Understanding the Dual‑Thread Architecture of WeChat Mini Programs: Model, Components, Runtime, and Optimization

IT Architects Alliance

Aug 16, 2022 · Backend Development

Seven Key Directions for Java Code Performance Optimization

This article theoretically outlines seven major Java performance optimization strategies—including reuse, computation, result set, resource conflict, algorithm, high‑efficiency implementation, and JVM tuning—explaining their principles, typical techniques, and how they collectively improve resource utilization and application speed.

JVMJavaPerformance Optimization

0 likes · 11 min read

Seven Key Directions for Java Code Performance Optimization

Model Perspective

Aug 16, 2022 · Fundamentals

Boost Python Speed Instantly with Numba: A Practical Guide

Numba is a Python just‑in‑time compiler that transforms functions into fast native machine code, enabling near C‑level performance without rewriting code; by adding simple decorators like @jit or @njit, you can accelerate loops, NumPy operations, and even leverage parallel or GPU execution.

JIT compilationPerformance OptimizationPython

0 likes · 7 min read

Boost Python Speed Instantly with Numba: A Practical Guide

Aikesheng Open Source Community

Aug 15, 2022 · Databases

Step-by-Step Migration of Large MySQL Datasets to DBLE Using TiDB DM

This article provides a comprehensive, code‑rich guide on using TiDB DM v2.0.7 to perform full and incremental migration of terabyte‑scale MySQL data to DBLE, covering environment setup, TiDB DM installation, DBLE configuration, data generation, task execution, verification, and important operational considerations.

DBLEDatabase ReplicationMySQL Migration

0 likes · 18 min read

Step-by-Step Migration of Large MySQL Datasets to DBLE Using TiDB DM

ByteFE

Aug 12, 2022 · Industry Insights

Shopee Video Technology: Backend Services, High‑Definition Low‑Bitrate Optimization, and Performance Enhancements

Shopee’s video platform combines live‑stream and on‑demand transcoding, link‑mic, multi‑party mixing, and backend editing services with a proprietary high‑definition low‑bitrate pipeline that leverages GPU and CPU encoders, AI‑enhanced pre‑processing, hierarchical B‑frames, and SIMD‑optimized sharpening to deliver high‑quality video on low‑end devices while cutting compute costs, and the company is actively recruiting engineers for further development.

AI enhancementPerformance OptimizationVideo Processing

0 likes · 19 min read

Shopee Video Technology: Backend Services, High‑Definition Low‑Bitrate Optimization, and Performance Enhancements

360 Quality & Efficiency

Aug 12, 2022 · Big Data

Testing Plan and Efficiency Strategies for a Data Download Refactoring Project

This article outlines the testing plan for a data download refactoring project involving over 400 metrics, describes automated CSV comparison scripts, evaluates single‑process, multithreaded, and multiprocess approaches with shared memory, and provides practical recommendations for improving verification efficiency and performance.

CSV comparisonPerformance OptimizationPython multiprocessing

0 likes · 8 min read

Testing Plan and Efficiency Strategies for a Data Download Refactoring Project

IT Architects Alliance

Aug 8, 2022 · Backend Development

Why Object Pools Boost Java Performance: Deep Dive into Commons Pool 2 and HikariCP

This article explains the motivation behind object pooling in Java, walks through the core classes of Commons Pool 2 with a Jedis example, details key configuration parameters, presents JMH benchmark results that show a five‑fold throughput gain, and analyzes HikariCP’s design tricks and common interview questions about pool tuning.

Commons Pool 2Database ConnectionHikariCP

0 likes · 16 min read

Why Object Pools Boost Java Performance: Deep Dive into Commons Pool 2 and HikariCP

DataFunSummit

Aug 7, 2022 · Artificial Intelligence

Vertical Federated Learning: Characteristics, Research Directions, and Performance Optimization

This article introduces federated learning, traces its evolution, compares horizontal and vertical federated learning, analyzes the unique computational traits of vertical FL, and presents practical performance‑optimization techniques such as offline computation, sparse‑data handling, communication compression, and homomorphic encryption integration.

Performance OptimizationPrivacy ComputingVertical FL

0 likes · 13 min read

Vertical Federated Learning: Characteristics, Research Directions, and Performance Optimization

JD Tech

Aug 5, 2022 · Backend Development

Visual Service Orchestration for BFF Layer in JD Finance App: Challenges, Design, and Impact

The article examines the difficulties encountered when implementing a Backend‑For‑Frontend (BFF) layer in the JD Finance app, introduces a visual service‑orchestration platform that replaces hard‑coded solutions with drag‑and‑drop workflows, details its core functions, architecture, and performance benefits, and demonstrates how it dramatically improves delivery speed, service governance, and debugging efficiency.

BFFCI/CDPerformance Optimization

0 likes · 15 min read

Visual Service Orchestration for BFF Layer in JD Finance App: Challenges, Design, and Impact

Baidu Geek Talk

Aug 5, 2022 · Big Data

How Baidu Cloud Accelerates Data Lakes with Compute‑Storage Separation

This article analyzes Baidu Intelligent Cloud's data‑lake acceleration strategy, covering the evolution of big‑data architectures, the advantages and challenges of compute‑storage separation, the native hierarchical namespace and RapidFS cache solutions, performance test results, and recommended deployment patterns.

BOSCloud StorageCompute-Storage Separation

0 likes · 17 min read

How Baidu Cloud Accelerates Data Lakes with Compute‑Storage Separation

Zuoyebang Tech Team

Aug 4, 2022 · Frontend Development

How We Revamped a Live‑Streaming PC Client with Electron for Stability and Performance

This article details how the Zuoyebang front‑end team rebuilt their PC student live‑class client using Electron, introducing a modular, config‑driven architecture, improved logging, BVManager and player modules, and performance and stability optimizations that reduced CPU/memory usage and crash rates while simplifying maintenance.

Desktop ApplicationElectronPerformance Optimization

0 likes · 11 min read

How We Revamped a Live‑Streaming PC Client with Electron for Stability and Performance

Top Architect

Aug 4, 2022 · Databases

Implementing Multi‑Business‑Unit Sales Statistics Queries with Row‑by‑Row Comparison in MySQL

The article explains how to query sales statistics for multiple business units and their associated products in MySQL, compares several implementation strategies such as looping, OR‑concatenation, mixed filtering, and finally adopts the SQL‑92 row‑by‑row comparison technique to achieve a single‑query solution that respects indexing and corporate coding standards.

Dynamic SQLMySQLPerformance Optimization

0 likes · 8 min read

Implementing Multi‑Business‑Unit Sales Statistics Queries with Row‑by‑Row Comparison in MySQL

vivo Internet Technology

Aug 3, 2022 · Frontend Development

Desktop Development with Electron: Technology Selection, Build Process, Performance Optimization, Quality Assurance, and Security

The guide details selecting Electron for cross‑platform desktop apps, then outlines a TypeScript‑Vue‑Vite stack with pnpm‑Turbo, explains build and packaging strategies, performance tweaks, update mechanisms, automated testing, crash handling, and layered security measures including native Rust modules and source‑code protection.

ElectronIPCPerformance Optimization

0 likes · 19 min read

Desktop Development with Electron: Technology Selection, Build Process, Performance Optimization, Quality Assurance, and Security

Cloud Native Technology Community

Aug 2, 2022 · Cloud Native

Avoiding CPU Throttling in a Containerized Environment with Cgroups and Cpusets

The article explains how Uber replaced CPU quota enforcement with cpusets (CPU pinning) for stateful workloads, reducing P99 latency, improving performance consistency, and saving about 11% of cores across the cluster by eliminating throttling.

CPU throttlingContainer OrchestrationLinux kernel

0 likes · 17 min read

Avoiding CPU Throttling in a Containerized Environment with Cgroups and Cpusets

ITPUB

Aug 1, 2022 · Big Data

How Bilibili Scaled Offline Computing: Migrating from Hive to Spark and Boosting Performance

This article details Bilibili's evolution from a Hadoop‑based offline platform to a Spark‑driven architecture, covering the Hive‑to‑Spark migration, automated SQL conversion, result validation, stability enhancements, performance tuning, meta‑store federation, and future directions for large‑scale data processing.

Data SkippingHiveMetaStore

0 likes · 31 min read

How Bilibili Scaled Offline Computing: Migrating from Hive to Spark and Boosting Performance

DataFunTalk

Jul 31, 2022 · Big Data

Design, Evolution, and Optimization of NetEase's Log Collection and Transmission Service (Datastream‑NG)

This article presents a comprehensive overview of NetEase's log collection and transmission platform, detailing its evolution from 2011 to the current Datastream‑NG architecture, the system's design goals, core component optimizations, operational monitoring, and future plans for intelligent scaling and diagnostics.

Data StreamingLog CollectionPerformance Optimization

0 likes · 23 min read

Design, Evolution, and Optimization of NetEase's Log Collection and Transmission Service (Datastream‑NG)

ITPUB

Jul 25, 2022 · Artificial Intelligence

How an AI Interview Bot Scaled 20× Faster with Backend Architecture Optimizations

This article details the design of an AI interview robot for 58.com, covering its backend architecture, dialogue engine, resource‑management strategies, performance‑testing methodology, and the optimizations that boosted concurrent interview capacity by twenty times while improving user experience.

AI Interview BotDialogue EnginePerformance Optimization

0 likes · 17 min read

How an AI Interview Bot Scaled 20× Faster with Backend Architecture Optimizations

StarRocks

Jul 22, 2022 · Big Data

How 37 Mobile Games Boosted Analytics with StarRocks: A Real‑World Performance Case Study

37 Mobile Games, a leading mobile game publisher, migrated its user‑profile analytics from a Hadoop‑Hudi‑Kafka‑Hive‑Flink stack to StarRocks, achieving sub‑second query latency on billion‑row tables, simplifying operations, reducing storage costs, and enabling real‑time data sync, as detailed in this technical case study.

OLAPPerformance OptimizationStarRocks

0 likes · 12 min read

How 37 Mobile Games Boosted Analytics with StarRocks: A Real‑World Performance Case Study

DataFunTalk

Jul 15, 2022 · Cloud Computing

Alibaba Cloud Elasticsearch Log Scenario Best Practices, Engine Optimizations, and Performance Evaluation

This article presents a comprehensive overview of Alibaba Cloud Elasticsearch for log analytics, detailing cluster characteristics, common pain points, five key optimization techniques—including cold/hot resource sharing and indexing service—followed by engine kernel improvements, performance benchmarks, and a step‑by‑step product demonstration.

Cloud ComputingElasticsearchIndexing Service

0 likes · 11 min read

Alibaba Cloud Elasticsearch Log Scenario Best Practices, Engine Optimizations, and Performance Evaluation

IT Architects Alliance

Jul 14, 2022 · Big Data

Elasticsearch Overview: Core Concepts, Architecture, and Practical Usage

This article provides a comprehensive introduction to Elasticsearch, covering data types, Lucene fundamentals, cluster architecture, node roles, shard and replica mechanisms, mapping, installation, health monitoring, indexing principles, storage strategies, refresh and translog handling, segment merging, performance tuning, and JVM optimization for large‑scale search applications.

ElasticsearchPerformance Optimizationbig data

0 likes · 35 min read

Elasticsearch Overview: Core Concepts, Architecture, and Practical Usage

NetEase LeiHuo UX Big Data Technology

Jul 14, 2022 · Artificial Intelligence

Evolution of Real‑Time Game Recommendation System at NetEase Leihuo

The article reviews the development of NetEase Leihuo's game recommendation system, covering the shift from offline batch recommendation to real‑time feature engineering and online inference, detailing architecture design, practical experiences, performance optimizations, and future directions such as real‑time training.

AIPerformance Optimizationgame industry

0 likes · 8 min read

Evolution of Real‑Time Game Recommendation System at NetEase Leihuo

GuanYuan Data Tech Team

Jul 14, 2022 · Big Data

How to Train Massive GBDT Models on Spark: A Complete Step‑by‑Step Guide

This article walks through using Apache Spark for large‑scale GBDT training, covering the challenges of massive data, Spark deployment, PySpark code examples, differences from Pandas, feature engineering, mmlspark installation, early‑stopping tricks, performance bottlenecks, and a systematic evaluation of alternative frameworks.

GBDTPerformance OptimizationSpark

0 likes · 38 min read

How to Train Massive GBDT Models on Spark: A Complete Step‑by‑Step Guide

Top Architect

Jul 14, 2022 · Databases

Understanding Redis Memory Model and Its Applications

This article explains Redis's memory model, covering memory statistics, internal structures such as redisObject, SDS, and various object types, their encoding schemes, memory allocation, fragmentation, and provides practical examples for estimating memory usage, optimizing consumption, and monitoring fragmentation in high‑performance applications.

Performance OptimizationRedisdatabase

0 likes · 30 min read

Understanding Redis Memory Model and Its Applications

dbaplus Community

Jul 6, 2022 · Big Data

Building Real‑Time User Profiles at Zhihu with Apache Doris: A Practical Guide

Zhihu's data‑empowerment team designed a low‑cost, high‑response real‑time data architecture on Apache Doris that powers business analytics, algorithm features, and user profiling, dramatically improving timeliness, reducing targeting costs, and boosting key performance metrics across multiple services.

Apache DorisPerformance OptimizationReal-time Data

0 likes · 23 min read

Building Real‑Time User Profiles at Zhihu with Apache Doris: A Practical Guide

Taobao Frontend Technology

Jul 5, 2022 · Frontend Development

How Tubes Uses a Reactive Data System to Optimize Multi‑Screen Rendering

The article explains how Tubes employs a reactive data system to handle multi‑screen rendering, compares loop‑based and reactive approaches, details classic and hash‑table implementations, and demonstrates significant performance gains, offering valuable insights for frontend developers seeking efficient rendering architectures.

Performance Optimizationdependency trackingfrontend architecture

0 likes · 21 min read

How Tubes Uses a Reactive Data System to Optimize Multi‑Screen Rendering

Selected Java Interview Questions

Jul 5, 2022 · Big Data

Understanding Elasticsearch: Core Concepts, Architecture, Indexing Mechanics and Performance Optimization

This article explains the fundamentals of structured and unstructured data, introduces Lucene's inverted index, describes Elasticsearch's distributed cluster architecture, node roles, sharding and replication mechanisms, indexing workflow with refresh and translog, storage segment model, and provides practical performance‑tuning recommendations.

ClusterElasticsearchLucene

0 likes · 36 min read

Understanding Elasticsearch: Core Concepts, Architecture, Indexing Mechanics and Performance Optimization

Su San Talks Tech

Jul 4, 2022 · Fundamentals

Understanding CPU Cache False Sharing and How to Eliminate It

This article explains the concept of CPU cache false sharing, how it degrades performance on multi‑core systems, and provides practical techniques—including cache‑line alignment macros and padding strategies—to prevent it and improve multithreaded application efficiency.

CPU cacheFalse sharingPerformance Optimization

0 likes · 10 min read

Understanding CPU Cache False Sharing and How to Eliminate It

Top Architect

Jul 2, 2022 · Backend Development

Design and Evolution of Baidu Comment Middleware: High‑Availability, High‑Performance Distributed Service Architecture

This article details the architecture, service design, performance optimizations, sorting mechanisms, and stability strategies of Baidu's comment middle‑platform, illustrating how it evolved to support billions of daily requests with high availability, low latency, and scalable distributed services.

Performance Optimizationservice architecture

0 likes · 18 min read

Design and Evolution of Baidu Comment Middleware: High‑Availability, High‑Performance Distributed Service Architecture

Java Backend Technology

Jul 1, 2022 · Big Data

How to Find the Most Frequent Age in a 10 GB File Using Java Multithreading

This article explains how to generate a 10 GB file of age data, read it efficiently on a machine with limited memory, and use both single‑threaded and multithreaded Java techniques—including a producer‑consumer model and divide‑and‑conquer—to identify the age that appears most frequently, while analyzing performance, memory usage, and CPU utilization.

File ProcessingJavaPerformance Optimization

0 likes · 13 min read

How to Find the Most Frequent Age in a 10 GB File Using Java Multithreading

ITPUB

Jun 30, 2022 · Backend Development

Master Go Performance: Layered Optimization Strategies for Faster Code

This article presents a layered approach to Go performance optimization, covering reasonable code practices, deliberate algorithmic and structural improvements, risky low‑level tweaks, and practical profiling techniques such as pprof, flame graphs, and trace, while providing concrete examples and actionable guidance.

GoPerformance OptimizationProfiling

0 likes · 17 min read

Master Go Performance: Layered Optimization Strategies for Faster Code

StarRocks

Jun 29, 2022 · Big Data

How StarRocks Boosted Query Performance 2‑3× for a 1TB‑Daily Data Platform

The Qunhe Technology data team replaced their legacy Hadoop and Presto clusters with a StarRocks MPP database, achieving up to three times faster queries, supporting billion‑row tables and sub‑second latency for both real‑time and analytical workloads on a daily 1TB data influx.

MPPOLAPPerformance Optimization

0 likes · 10 min read

How StarRocks Boosted Query Performance 2‑3× for a 1TB‑Daily Data Platform

DaTaobao Tech

Jun 29, 2022 · Frontend Development

Design and Implementation of a Reactive Data System in Tubes

The article presents Tubes, Alibaba’s high‑performance terminal renderer, and argues that a hash‑table‑based reactive data system—tracking dependencies, triggering updates only for changed inputs, and making Tubes idempotent—eliminates manual loop control, reduces developer burden, and delivers up to 1,350× read speed‑up and hundreds of milliseconds faster first‑screen rendering on low‑end devices.

Front-end ArchitecturePerformance Optimizationdependency tracking

0 likes · 16 min read

Design and Implementation of a Reactive Data System in Tubes

DeWu Technology

Jun 22, 2022 · Databases

Rainbow Bridge: A ShardingSphere‑Based Database Middleware for Scalability and Reliability

To support the rapidly growing DeWu App, the team created Rainbow Bridge—a ShardingSphere‑based middleware that unifies horizontal sharding, read‑write separation, shadow‑DB routing, rate limiting, and active‑active traffic correction, while adding a graphical console, stability enhancements, fine‑grained observability, hybrid JDBC/Proxy switching, and ongoing open‑source contributions.

Database MiddlewarePerformance OptimizationRead-Write Splitting

0 likes · 18 min read

Rainbow Bridge: A ShardingSphere‑Based Database Middleware for Scalability and Reliability

Architecture Digest

Jun 22, 2022 · Backend Development

Implementing and Optimizing a High‑Concurrency Long‑Connection Service with Netty

This article explains how to build a scalable long‑connection server using Netty, discusses the underlying bottlenecks such as Linux kernel limits, CPU and GC issues, and provides practical code examples and tuning techniques to achieve hundreds of thousands of connections and high QPS.

Java NIOLong ConnectionsNetty

0 likes · 15 min read

Implementing and Optimizing a High‑Concurrency Long‑Connection Service with Netty

HelloTech

Jun 21, 2022 · Backend Development

Recommendation Engine Upgrade Path, Architecture, and Performance Optimization for the "Guangguang" Content Community

The article details Guangguang’s shift from a rule‑based, Hive‑driven recommendation pipeline to an algorithmic service that leverages Elasticsearch and Redis for multi‑source recall, coarse and fine model ranking, exposure filtering, cold‑start handling, latency optimizations, reliability monitoring, and future vector‑based enhancements.

ElasticsearchPerformance OptimizationRedis

0 likes · 16 min read

Recommendation Engine Upgrade Path, Architecture, and Performance Optimization for the "Guangguang" Content Community

Huawei Cloud Developer Alliance

Jun 17, 2022 · Cloud Native

How Huawei’s Cloud EulerOS Powers High‑Performance, Secure Cloud Native Workloads

The 2022 Kunpeng Developer Summit showcased Huawei Cloud EulerOS, an openEuler‑based cloud‑native operating system, highlighting its high‑performance, security‑focused features, mixed‑deployment solutions, and real‑world case studies such as smart property management and a micro‑service banking core, illustrating the platform’s role in advancing intelligent computing.

EulerOSHuawei CloudPerformance Optimization

0 likes · 6 min read

How Huawei’s Cloud EulerOS Powers High‑Performance, Secure Cloud Native Workloads

New Oriental Technology

Jun 17, 2022 · Frontend Development

Understanding JavaScript Throttle and Debounce: Concepts, Code Examples, and Practical Applications

This article explains the fundamental differences between JavaScript throttle and debounce techniques using an intuitive real-world analogy, provides clear code implementations, compares their execution behaviors, and demonstrates practical usage scenarios with the Lodash library for optimizing frontend event handling.

JavaScriptPerformance Optimizationdebounce

0 likes · 7 min read

Understanding JavaScript Throttle and Debounce: Concepts, Code Examples, and Practical Applications

DaTaobao Tech

Jun 17, 2022 · Mobile Development

DX Development Mode: RecyclerLayout Container and Event Chain Design

The 2021‑2022 DX updates introduce the RecyclerLayout container, a native‑based list component with configurable styles, pull‑to‑refresh and pagination that can be altered via XML without native releases, and an JSON‑driven event chain protocol enabling sequential or asynchronous actions, visual IDE debugging, full‑link tracing, and real‑time monitoring, collectively delivering over 30% faster release cycles and 15% quicker server responses across multiple Taobao and Alibaba apps.

DXEventChainMobile Development

0 likes · 14 min read

DX Development Mode: RecyclerLayout Container and Event Chain Design

DaTaobao Tech

Jun 16, 2022 · Mobile Development

DX Native Dynamic Development Mode Overview

DX (DinamicX) is Alibaba’s native dynamic development platform that evolved from simple homepage widgets into a full‑stack framework offering out‑of‑the‑box components, a VS‑code‑compatible IDE, ProCode and LowCode workflows, optimized rendering pipelines, event‑chain logic, and future‑focused standardization for high‑performance, content‑rich mobile apps.

DXDynamic UIMobile Development

0 likes · 16 min read

DX Native Dynamic Development Mode Overview

58 Tech

Jun 16, 2022 · Artificial Intelligence

Backend Architecture and Performance Optimization of an AI Interview Robot

This article details the backend architecture, dialogue engine design, resource estimation, and performance optimization techniques of an AI interview robot used in 58.com’s recruitment platform, illustrating how multi‑branch dialogue flows, RTP communication, session management, and monitoring enable scalable, stable, and efficient online interview services.

AIDialogue EngineInterview Robot

0 likes · 17 min read

Backend Architecture and Performance Optimization of an AI Interview Robot

ITPUB

Jun 11, 2022 · Databases

How Meituan Optimized a Non‑Intrusive MySQL Packet Capture for Full‑SQL Auditing

This article explains Meituan's non‑intrusive, Go‑based packet‑capture solution for full‑SQL database auditing, details the performance challenges encountered at high QPS, and describes a series of systematic analyses and optimizations—including probe redesign, CPU profiling, data‑masking, scheduling, GC pressure reduction, and packet filtering—that dramatically lowered loss rates and CPU usage.

Database AuditingGoMySQL

0 likes · 12 min read

How Meituan Optimized a Non‑Intrusive MySQL Packet Capture for Full‑SQL Auditing

ByteFE

Jun 10, 2022 · Industry Insights

Latest Tech Insights: HTTP/3 Standard, Frontend Survey, Web3 Trends, and Performance Tips

This roundup covers the official release of HTTP/3 (RFC 9114), key findings from a 2022 frontend development survey highlighting TypeScript dominance, an in‑depth Web3.0 industry panorama, Douyin's Android power‑saving practices, bundler considerations, first‑party cookie guidance, content‑visibility performance analysis, and a detailed Three.js ice‑cream Earth tutorial.

Content-VisibilityHTTP/3Performance Optimization

0 likes · 7 min read

Latest Tech Insights: HTTP/3 Standard, Frontend Survey, Web3 Trends, and Performance Tips

Zuoyebang Tech Team

Jun 9, 2022 · Frontend Development

Re‑engineering a Live‑Streaming Frontend to Cut Black‑Screen Errors & Boost Performance

Facing fragmented devices, high memory usage, and unreliable signaling, the Zuoyebang live‑streaming frontend was redesigned with container‑based isolation, a modular SDK, and state‑synchronization mechanisms, resulting in timely memory reclamation, reduced CPU load, and dramatically lower black‑screen incidents.

Container ArchitecturePerformance OptimizationWebView

0 likes · 13 min read

Re‑engineering a Live‑Streaming Frontend to Cut Black‑Screen Errors & Boost Performance

JD Tech

Jun 9, 2022 · Mobile Development

Comparative Analysis of Cross‑Platform Mobile Development Technologies: Flutter, React Native, Weex, and H5

This article systematically examines the characteristics, architecture, compilation principles, rendering processes, and common performance issues of four popular cross‑platform mobile technologies—Flutter, React Native, Weex, and H5—offering guidance on technical selection and optimization strategies.

FlutterMobile DevelopmentPerformance Optimization

0 likes · 16 min read

Comparative Analysis of Cross‑Platform Mobile Development Technologies: Flutter, React Native, Weex, and H5

Selected Java Interview Questions

Jun 9, 2022 · Backend Development

Optimizing Apache HttpClient for High‑Concurrency: Connection Pooling, Keep‑Alive, and Configuration

This article explains how to dramatically reduce the average response time of a high‑traffic Java service from 250 ms to about 80 ms by applying HttpClient pooling, keep‑alive strategies, proper timeout settings, and idle‑connection monitoring, complete with code examples and configuration details.

HttpClientKeep-AlivePerformance Optimization

0 likes · 11 min read

Optimizing Apache HttpClient for High‑Concurrency: Connection Pooling, Keep‑Alive, and Configuration

Ctrip Technology

Jun 9, 2022 · Databases

Ctrip Order Database Architecture Optimization and Sharding Case Study

This article details Ctrip's comprehensive redesign of its airline ticket order database, covering the background performance bottlenecks, vertical and hot‑cold data splitting, sharding key selection, multi‑level caching, cross‑shard query optimization, dual‑write mechanisms, fault‑tolerance strategies, project planning, and the resulting improvements in scalability and cost.

Multi-level CachingPerformance Optimizationdatabase sharding

0 likes · 37 min read

Ctrip Order Database Architecture Optimization and Sharding Case Study

Java High-Performance Architecture

Jun 9, 2022 · Backend Development

How to Build a High‑Performance Java Service for 200k+ QPS

This article explains how to design and optimize a Java‑based online service that handles over 200,000 queries per second by avoiding relational databases, applying multi‑level caching, leveraging multithreading, using degradation and circuit‑breaker patterns, reducing I/O, managing retries, handling edge cases, and logging efficiently.

CachingHigh ConcurrencyJava

0 likes · 11 min read

How to Build a High‑Performance Java Service for 200k+ QPS

ByteDance Data Platform

Jun 8, 2022 · Backend Development

How ByteDance Optimized Data Catalog Performance with Apache Atlas and JanusGraph

This article details ByteDance's 2021 overhaul of its Data Catalog system, the performance regressions encountered after switching to Apache Atlas, and the step‑by‑step backend optimizations—including JanusGraph tuning, Gremlin query refactoring, parallel processing, and write‑path improvements—that reduced latency from minutes to seconds.

Apache AtlasJanusGraphPerformance Optimization

0 likes · 12 min read

How ByteDance Optimized Data Catalog Performance with Apache Atlas and JanusGraph

dbaplus Community

Jun 7, 2022 · Databases

How to Diagnose and Fix Elasticsearch Slow Queries: From PointRange to Keyword

This article examines why Elasticsearch slow queries occur in a shared cluster, analyzes a problematic query's structure and data‑type choices, and demonstrates how converting integer fields to keyword mappings and adjusting filter order can reduce latency from over 100 ms to under 10 ms while eliminating slow‑query alerts.

ElasticsearchPerformance OptimizationPointRangeQuery

0 likes · 10 min read

How to Diagnose and Fix Elasticsearch Slow Queries: From PointRange to Keyword

DataFunSummit

Jun 3, 2022 · Big Data

Building and Optimizing JD Retail OLAP Platform: Architecture, Management, and Performance Techniques

This article details JD Retail's OLAP platform construction, covering control plane design, architecture, business and operation management, real‑time data updates, materialized view usage, join optimizations, high‑concurrency and high‑throughput scenarios, and promotional preparation strategies, illustrated with diagrams and performance metrics.

ClickHouseOLAPPerformance Optimization

0 likes · 20 min read

Building and Optimizing JD Retail OLAP Platform: Architecture, Management, and Performance Techniques

TAL Education Technology

Jun 2, 2022 · Game Development

Unity Memory Management and Performance Optimization Guide

This article provides a comprehensive introduction to Unity memory concepts—including physical, virtual, native, and managed memory—and offers practical optimization techniques for native and managed resources, graphics rendering, and tooling to improve game performance on both desktop and mobile platforms.

Managed MemoryNative MemoryPerformance Optimization

0 likes · 23 min read

Unity Memory Management and Performance Optimization Guide

vivo Internet Technology

May 31, 2022 · Databases

Exploring Presto SQL Engine (3) - Implementing WHERE Condition Filtering with Antlr and Dynamic Code Generation

The third article in the Presto SQL Engine series demonstrates how to implement WHERE‑clause filtering with Antlr, contrasting a direct AST‑traversal visitor approach—hampered by branch prediction and JVM inlining issues—with runtime bytecode generation using airlift.bytecode, which yields roughly three‑fold speed gains but adds complexity.

Airlift BytecodeBytecode GenerationDynamic Code Generation

0 likes · 24 min read

Exploring Presto SQL Engine (3) - Implementing WHERE Condition Filtering with Antlr and Dynamic Code Generation

Taobao Frontend Technology

May 31, 2022 · Frontend Development

How to Fix Concurrent Rendering Issues in OpenSumi File Tree for Faster, Stable UI

This article analyzes the concurrent rendering problems of OpenSumi's file‑tree component, explains their root causes, and presents a comprehensive solution—including operation prioritization, cancellable updates, and queued rendering—along with implementation code to achieve both high speed and stability.

Concurrent RenderingOpenSumiPerformance Optimization

0 likes · 13 min read

How to Fix Concurrent Rendering Issues in OpenSumi File Tree for Faster, Stable UI

Alibaba Terminal Technology

May 31, 2022 · Mobile Development

How DX Achieves Near‑Native Performance: Pipeline Async, Async Rendering, and Resource Control

This article details how Alibaba’s DX (DinamicX) framework attains near‑native performance through server‑side XML compilation, lightweight virtual trees, pipeline asynchronous execution, async drawing, and off‑screen resource control, and presents measurable gains such as 40% reduction in main‑thread work and 65% CPU savings on media‑heavy pages.

Async RenderingDXMobile UI

0 likes · 18 min read

How DX Achieves Near‑Native Performance: Pipeline Async, Async Rendering, and Resource Control

政采云技术

May 31, 2022 · Fundamentals

Efficient Parent‑Child Relationship Deduplication Using Hashset Caching

This article presents an efficient deduplication algorithm for parent‑child relationship validation that caches intermediate results in a hashset to eliminate redundant computations, dramatically improving performance and scalability for large datasets by reducing verification steps through stored validated nodes.

HashSetParent-ChildPerformance Optimization

0 likes · 11 min read

Efficient Parent‑Child Relationship Deduplication Using Hashset Caching

NetEase Cloud Music Tech Team

May 27, 2022 · Frontend Development

How We Cut CodeSandbox Sandbox Build Time from 2 Minutes to 1 Second

This article details the background, architecture, and step‑by‑step performance optimizations—including Packager caching, request reduction, Service‑Worker caching, and Webpack‑style externals—that reduced a CodeSandbox sandbox build from around two minutes to roughly one second.

CodeSandboxFrontend BuildPerformance Optimization

0 likes · 23 min read

How We Cut CodeSandbox Sandbox Build Time from 2 Minutes to 1 Second

Zuoyebang Tech Team

May 26, 2022 · Cloud Native

How ZRTC Powers Millions of Live Streams: Architecture & Scaling

ZRTC, the real‑time audio‑video platform behind 作业帮, has been refined for over three years to support massive, multi‑cloud, multi‑protocol live streaming, employing a unified SDK, intelligent scheduling, custom SFU services, and extensive performance tuning to achieve high concurrency, low latency, and robust high‑availability.

High ConcurrencyPerformance OptimizationWebRTC

0 likes · 22 min read

Architect

May 24, 2022 · Big Data

Processing 10 GB Age Data on a 4 GB Memory Machine Using Java: Single‑Threaded and Multi‑Threaded Approaches

The article presents a complete Java solution for generating, reading, and analyzing a 10 GB file of age values (18‑70) on a 4 GB RAM, 2‑core PC, comparing single‑threaded counting with a producer‑consumer multithreaded design that dramatically improves CPU utilization and reduces total processing time.

JavaPerformance Optimizationalgorithm

0 likes · 20 min read

Processing 10 GB Age Data on a 4 GB Memory Machine Using Java: Single‑Threaded and Multi‑Threaded Approaches

58 Tech

May 24, 2022 · Mobile Development

Interview with Jiang Hongwei, 58.com Front‑End Architect on React Native Architecture and Its Impact

In this interview, 58.com front‑end architect Jiang Hongwei discusses his journey into React Native, the evolution and benefits of the new RN architecture, challenges of upgrading, comparisons with other cross‑platform frameworks, and offers career advice for technology professionals.

58.comPerformance OptimizationReact Native

0 likes · 9 min read

Interview with Jiang Hongwei, 58.com Front‑End Architect on React Native Architecture and Its Impact

ByteFE

May 20, 2022 · Frontend Development

Curated Tech Updates: Web Interoperability Group, Chrome 102 DevTools, Performance Optimizations, Node.js for Microservices, and More

This newsletter highlights the formation of a JavaScript runtime interoperability group, new Chrome 102 DevTools features, Google’s performance‑boosting private prefetch proxy, a comparison of Vue and React performance, Node.js advantages for microservices, and several recent articles on frontend tooling, image optimization, and modern JavaScript language features.

Chrome DevToolsNode.jsPerformance Optimization

0 likes · 7 min read

Curated Tech Updates: Web Interoperability Group, Chrome 102 DevTools, Performance Optimizations, Node.js for Microservices, and More

JD Tech

May 20, 2022 · Mobile Development

MCube: A Native Dynamic Page Solution for JD.com Mobile Apps

The article presents MCube, a cross‑platform native dynamic UI framework used in JD.com’s mobile app to improve performance, reduce development effort, and enable rapid, stable feature delivery through a modular architecture, XML DSL, Yoga layout engine, and comprehensive management and tooling support.

Dynamic UIJD.comMCube

0 likes · 14 min read

MCube: A Native Dynamic Page Solution for JD.com Mobile Apps

Meituan Technology Team

May 19, 2022 · Artificial Intelligence

Tulong: An Industrial Graph Neural Network Framework and Learning Platform at Meituan

Tulong is Meituan’s industrial graph neural network framework and learning platform that combines a compact MTGraph engine, a modular operator‑based GNN library, and visual workflow tools to enable heterogeneous, billion‑edge graph training on a single machine with up to 60 % memory savings and 2–4× speedups, streamlining search, recommendation, advertising and delivery pipelines.

Performance Optimizationframeworkgraph neural networks

0 likes · 24 min read

Tulong: An Industrial Graph Neural Network Framework and Learning Platform at Meituan

vivo Internet Technology

May 18, 2022 · Mobile Development

Optimizing Android PopupWindow and Snackbar UI Thread to Prevent Frame Drops

To eliminate frame drops caused by animated PopupWindow and Snackbar conflicts, the article shows how moving costly view inflation and show/dismiss operations to a dedicated HandlerThread—while still invoking show() on the UI thread—creates a separate UI thread that respects Android’s thread‑checking rules and keeps animations smooth.

AndroidPerformance OptimizationPopupWindow

0 likes · 20 min read

Optimizing Android PopupWindow and Snackbar UI Thread to Prevent Frame Drops

vivo Internet Technology

May 18, 2022 · Backend Development

Kafka Cluster Fault Analysis: Root Cause and Cascading Failure Mechanism

A Kafka cluster at vivo suffered a total traffic drop across a resource group when a broker’s disk failed, because the default producer partitioner still hashed keys to the failed partition, exhausting client buffers and blocking all healthy partitions, prompting recommendations to avoid keys or use custom partitioners.

Fault AnalysisKafkaPerformance Optimization

0 likes · 9 min read

Kafka Cluster Fault Analysis: Root Cause and Cascading Failure Mechanism

DataFunTalk

May 18, 2022 · Big Data

Building and Optimizing JD Retail OLAP Platform: Architecture, Real‑time Updates, Materialized Views, and Join Optimization

This article presents JD Retail's OLAP platform construction and practical scenarios, covering control‑plane design, architecture, business management, operational safeguards, real‑time data updates, materialized view acceleration, join optimization techniques, high‑concurrency queries, and large‑scale write throughput for e‑commerce peak periods.

ClickHouseOLAPPerformance Optimization

0 likes · 21 min read

Building and Optimizing JD Retail OLAP Platform: Architecture, Real‑time Updates, Materialized Views, and Join Optimization

Java Backend Technology

May 17, 2022 · Backend Development

Cutting a 5‑Second Java Service to <1s with Compression, Parallelism & Caching

This article details how a Java Spring Boot microservice's response time was reduced from 5‑6 seconds to under one second by applying gzip compression, parallel data fetching, short‑lived caching, MySQL index tuning, and JVM G1 garbage‑collector adjustments.

CompressionJVMJava

0 likes · 16 min read

Cutting a 5‑Second Java Service to <1s with Compression, Parallelism & Caching

Top Architect

May 15, 2022 · Backend Development

Understanding MyBatis Batch Processing: Common Pitfalls and Optimized Solutions

This article walks through the challenges of inserting massive data sets with MyBatis, explains the inner workings of batch execution, highlights common mistakes with commit, clearCache and flushStatements, and presents progressively refined code examples—including Oracle-specific optimizations—to dramatically improve performance.

Batch ProcessingJavaMyBatis

0 likes · 12 min read

Understanding MyBatis Batch Processing: Common Pitfalls and Optimized Solutions

dbaplus Community

May 12, 2022 · Big Data

How Bilibili Scaled Presto on Hadoop: Architecture, Optimizations, and Performance Gains

This article details Bilibili's end‑to‑end Presto on Hadoop architecture, covering the multi‑engine SQL stack, dispatcher routing, cluster scale, stability enhancements like coordinator HA and real‑time punish, query limits, Hive UDF compatibility, insert‑overwrite support, Alluxio caching, multi‑datacenter routing, query result caching, Raptorx local cache, JDK upgrades, dynamic filtering, and future roadmap, illustrating how these innovations boosted query throughput and reduced latency.

HadoopPerformance OptimizationSQL

0 likes · 32 min read

How Bilibili Scaled Presto on Hadoop: Architecture, Optimizations, and Performance Gains

Sohu Tech Products

May 11, 2022 · Backend Development

Optimizing Large-Scale Database Updates with Manual Transactions and Multithreading in Spring Boot MyBatis

This article demonstrates how to efficiently update up to 50,000 MySQL records in a Spring Boot‑MyBatis application by comparing simple loops, manual transaction control, multithreaded execution with CountDownLatch coordination, and union‑based batch updates, while analyzing performance and connection‑pool considerations.

MyBatisPerformance OptimizationSpring Boot

0 likes · 14 min read

Optimizing Large-Scale Database Updates with Manual Transactions and Multithreading in Spring Boot MyBatis

Baidu Geek Talk

May 9, 2022 · Big Data

How a Spark Offline Framework Boosts Data Backtracking Efficiency

This article introduces a Spark offline development framework that separates configuration from code, supports SQL and Java applications, and provides fast, automated data backtracking with reduced environment preparation time, lower failure rates, and significant performance gains for large‑scale data warehouses.

Data BacktrackingJavaOffline Framework

0 likes · 17 min read

How a Spark Offline Framework Boosts Data Backtracking Efficiency

ByteDance Terminal Technology

May 9, 2022 · Mobile Development

Optimizing Swift Debugging Performance with a Custom LLDB Toolchain at ByteDance

This article explains how ByteDance's DanceCC team improved debugging speed for large Swift iOS projects by customizing the LLDB toolchain, disabling costly Swift type‑resolution features, fixing static‑framework loading, optimizing external module searches, and introducing shared symbol caches, achieving up to ten‑fold reductions in variable‑view and expression‑evaluation times.

Compiler ToolchainLLDBMobile Development

0 likes · 20 min read

Optimizing Swift Debugging Performance with a Custom LLDB Toolchain at ByteDance

ITPUB

May 7, 2022 · Big Data

How eBay Scaled HDFS to 800 PB Using Federation and Router‑Based Architecture

This article details eBay's evolution of its massive HDFS storage—from a single‑cluster design to ViewFS Federation, then to Router‑Based Federation—highlighting the performance bottlenecks, optimization techniques, FastCopy integration, and future plans for further scaling and automation.

FederationHDFSPerformance Optimization

0 likes · 11 min read

How eBay Scaled HDFS to 800 PB Using Federation and Router‑Based Architecture

IT Architects Alliance

May 6, 2022 · R&D Management

Optimizing IT System Performance and R&D Workflow: From Metrics to DevOps Value‑Stream

The article explains how technical leaders can apply quantitative analysis and systematic measurement to optimize both software system performance and organizational workflows, using a picture‑recognition service example and a real‑world DevOps incident to illustrate the need for end‑to‑end process mapping, bottleneck identification, and continuous improvement.

Performance OptimizationR&D Managementmetrics

0 likes · 11 min read

Optimizing IT System Performance and R&D Workflow: From Metrics to DevOps Value‑Stream

Alibaba Terminal Technology

May 6, 2022 · Mobile Development

How to Slash Swift Debugger Breakpoint Delays in Large iOS Apps

The Youku iOS team investigated why first‑breakpoint pauses could exceed three minutes after a massive Swift migration, analyzed LLDB internals and external module dependencies, tried and discarded several refactoring and compiler‑flag approaches, and finally achieved a dramatic speedup by tweaking LLDB settings and adding a small Swift helper for missing property prints.

LLDBMobile DevelopmentPerformance Optimization

0 likes · 16 min read

How to Slash Swift Debugger Breakpoint Delays in Large iOS Apps

IT Architects Alliance

May 5, 2022 · Backend Development

How to Build a Million‑Connection Netty Server: Tips, Code, and Tuning

This article walks through the challenges and solutions for building a high‑performance long‑connection service with Netty, covering Netty basics, non‑blocking I/O, sample Java NIO and Netty code, Linux kernel tuning, QPS optimization, data‑structure tweaks, GC adjustments, and the final performance results.

GC TuningJava NIOLinux Tuning

0 likes · 14 min read

How to Build a Million‑Connection Netty Server: Tips, Code, and Tuning

Top Architect

May 5, 2022 · Backend Development

Implementing High‑Performance Long‑Connection Services with Netty: Challenges, Bottlenecks, and Optimizations

This article explains how to build a scalable long‑connection server using Netty, covering the fundamentals of non‑blocking I/O, practical code examples for achieving millions of concurrent connections, common Linux kernel limits, CPU and GC bottlenecks, and a series of tuning techniques to dramatically improve QPS and stability.

Java NIOLong ConnectionsNetty

0 likes · 15 min read

Implementing High‑Performance Long‑Connection Services with Netty: Challenges, Bottlenecks, and Optimizations

Top Architect

May 4, 2022 · Big Data

Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization

This article provides a comprehensive introduction to Elasticsearch, covering data types, Lucene fundamentals, cluster architecture, node roles, shard and replica mechanisms, mapping, basic usage, health monitoring, indexing workflow, storage strategies, and practical performance tuning techniques.

ElasticsearchPerformance Optimizationindexing

0 likes · 36 min read

Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization

Baidu Geek Talk

Apr 29, 2022 · Frontend Development

Building a Scalable Micro‑Frontend Architecture with Tangram‑SDK

This article details how the iFanFan team transformed a monolithic Vue front‑end into a micro‑frontend system using a unified CLI tool, covering routing, packaging, independent development, version management, isolation, communication, CI/CD integration, multi‑product support, and performance optimizations.

CI/CDCLI toolPerformance Optimization

0 likes · 12 min read

Building a Scalable Micro‑Frontend Architecture with Tangram‑SDK

Efficient Ops

Apr 29, 2022 · Operations

How Ctrip Scaled Its Cloud Platform to 10k Nodes: Real‑World Kubernetes Ops Lessons

This article shares Ctrip's practical experiences in scaling a hybrid private‑cloud platform to over ten thousand nodes, covering Kubernetes control‑plane stability, host monitoring, network observability, image management, and capacity planning to ensure high availability for massive online services.

Cloud OperationsKubernetesNetwork Observability

0 likes · 18 min read

How Ctrip Scaled Its Cloud Platform to 10k Nodes: Real‑World Kubernetes Ops Lessons

Baidu Geek Talk

Apr 27, 2022 · Cloud Native

Baidu Search Service Compute Management: Architecture, Practices, and Cloud‑Native Techniques

Baidu’s Search Architecture team evolved compute management from static physical‑machine deployment to cloud‑native mixed deployment, employing a governance system that combines elastic containers, Service Mesh, and committee‑driven operations, while leveraging tidal scaling, container tiering, performance‑curve‑based VPA/HPA, and fine‑grained traffic scheduling to deliver cost‑effective, flexible, and performance‑driven resource allocation across both temporal and task‑type dimensions.

Container OrchestrationPerformance Optimizationcloud-native

0 likes · 12 min read

Baidu Search Service Compute Management: Architecture, Practices, and Cloud‑Native Techniques

macrozheng

Apr 27, 2022 · Backend Development

Why Your Java App Starts Slow and How JIT Optimization Fixes It

When a Java application launches, initial requests often feel sluggish because the JVM relies on an interpreter, but as frequently executed code becomes hot, JIT compilation translates it into optimized native machine code, dramatically improving response times—a process explained along with practical strategies like Dragonwell’s JWarmUp and request pre‑warming to accelerate performance.

DragonwellHotSpotJIT

0 likes · 6 min read

Why Your Java App Starts Slow and How JIT Optimization Fixes It

DataFunSummit

Apr 25, 2022 · Artificial Intelligence

Token‑Level Pipeline Parallelism for Transformer‑based Language Models (TeraPipe)

The article introduces a token‑level pipeline parallelism strategy that splits the sequence‑length dimension of Transformer‑based language models, explains why this approach is feasible, presents a dynamic‑programming formulation for optimal slicing, discusses engineering challenges, and evaluates its performance on large GPT models.

Large Language ModelsPerformance OptimizationToken-level

0 likes · 13 min read

Token‑Level Pipeline Parallelism for Transformer‑based Language Models (TeraPipe)

HelloTech

Apr 25, 2022 · Big Data

Analyzing and Optimizing Slow Elasticsearch Queries in a Shared Cluster

In a shared Elasticsearch cluster, the team used slow‑log analysis to pinpoint costly queries caused by unnecessary fuzzy matches and integer‑mapped low‑cardinality fields, then optimized them by converting matches to filters and remapping those fields to keyword, re‑indexing, which cut latency from over 100 ms to under 10 ms and eliminated slow‑query alerts.

BackendElasticsearchPerformance Optimization

0 likes · 10 min read

Analyzing and Optimizing Slow Elasticsearch Queries in a Shared Cluster

WecTeam

Apr 23, 2022 · Frontend Development

This Week’s Frontend Must‑Reads: React Scheduler, Build‑Tool Showdown & H5 Speed Boost

Each week WecTeam Frontend Weekly highlights top technical reads, offering concise insights into React’s Scheduler mechanics, a side‑by‑side comparison of modern build tools like esbuild, Snowpack, Vite and wmr, and a case study on dramatically boosting H5 page load speed in the Dewu app.

Build ToolsPerformance OptimizationReact

0 likes · 3 min read

This Week’s Frontend Must‑Reads: React Scheduler, Build‑Tool Showdown & H5 Speed Boost

NetEase LeiHuo Testing Center

Apr 22, 2022 · Game Development

Art Asset Risks and Inspection Practices in Game Development

This article examines common risks associated with game art assets, presents real-world external case studies of asset‑related failures, and outlines systematic static and dynamic inspection methods across production, upload, and packaging stages to improve quality, performance, and player experience.

Performance Optimizationasset managementgame art

0 likes · 12 min read

Art Asset Risks and Inspection Practices in Game Development

Top Architect

Apr 22, 2022 · Databases

Redis Single‑Threaded Architecture, Lazy Free Mechanism, and Multi‑Threaded I/O

This article explains Redis's original single‑threaded event‑driven design, the problems it causes, how the Lazy Free mechanism and asynchronous deletion were introduced in Redis 4.0, and how Redis 6.0 adds multi‑threaded I/O while discussing its limitations and comparing it with Tair's approach.

Lazy FreeMulti-threaded I/OPerformance Optimization

0 likes · 16 min read

Redis Single‑Threaded Architecture, Lazy Free Mechanism, and Multi‑Threaded I/O

Open Source Linux

Apr 19, 2022 · Databases

8 Common SQL Pitfalls and How to Optimize Them for Faster Queries

This article examines frequent SQL anti‑patterns—such as inefficient LIMIT usage, implicit type conversion, suboptimal UPDATE/DELETE joins, mixed ordering, unnecessary EXISTS clauses, condition push‑down failures, early limiting, and intermediate result handling—and provides rewritten queries that dramatically improve performance.

MySQLPerformance OptimizationQuery Tuning

0 likes · 14 min read

8 Common SQL Pitfalls and How to Optimize Them for Faster Queries

Alibaba Terminal Technology

Apr 18, 2022 · Mobile Development

How Cube Achieved High‑Performance Cross‑Platform Rendering with Asynchronous Bitmap Rendering

This article explains Cube's evolution from early native rendering challenges to a sophisticated asynchronous, cross‑platform rendering architecture that uses bitmap caching, platform‑specific layers, and a multi‑stage optimization process to boost mobile UI performance on both Android and iOS.

AndroidCube frameworkMobile UI

0 likes · 15 min read

How Cube Achieved High‑Performance Cross‑Platform Rendering with Asynchronous Bitmap Rendering