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JD Tech
JD Tech
Dec 1, 2022 · Databases

Understanding Redis Data Skew and Hotkey Detection with JD Open‑Source hotkey Solution

This article explains the concept of Redis data skew, its causes and impacts, explores data volume and access skew classifications, presents mitigation strategies, and provides a comprehensive source‑code walkthrough of JD's open‑source hotkey framework—including client, worker, and dashboard components—for detecting and handling hot keys in distributed cache clusters.

HotKeyPerformance Optimizationdistributed caching
0 likes · 54 min read
Understanding Redis Data Skew and Hotkey Detection with JD Open‑Source hotkey Solution
Architecture Digest
Architecture Digest
Nov 30, 2022 · Backend Development

Meituan Kafka at Scale: Challenges and Optimizations for Latency, Cluster Management, and Reliability

This article details Meituan's large‑scale Kafka deployment—over 15,000 machines and petabyte‑level daily traffic—its operational challenges such as slow nodes, load imbalance, and resource contention, and the comprehensive read/write latency, system‑level, and cluster‑management optimizations implemented to improve performance and reliability.

Cluster ManagementDistributed SystemsKafka
0 likes · 22 min read
Meituan Kafka at Scale: Challenges and Optimizations for Latency, Cluster Management, and Reliability
Tencent Cloud Developer
Tencent Cloud Developer
Nov 29, 2022 · Game Development

GPU Rendering Pipeline and Hardware Architecture Overview

The article surveys GPU rendering pipelines and hardware architectures for desktop and mobile, explains classic stages, compares Immediate Mode, Tile‑Based and Tile‑Based Deferred rendering, details PowerVR, Mali and Adreno components, and offers optimization advice on draw calls, depth pre‑passes, shader efficiency, and render ordering.

GPUGraphicsMobile GPU
0 likes · 66 min read
GPU Rendering Pipeline and Hardware Architecture Overview
Yunxuetang Frontend Team
Yunxuetang Frontend Team
Nov 26, 2022 · Frontend Development

Essential Front-End Tech & Architecture Insights: Storage, Configs, Performance, Design

This curated guide explores key front-end topics—including unified browser storage APIs, comprehensive engineering configuration practices, deep dives into exception handling and performance optimization, essential packet-capture techniques, impactful micro-copy design, and a personal four-year front-end development journey—providing practical insights for modern web developers.

Frontend DevelopmentPerformance OptimizationWeb Storage
0 likes · 4 min read
Essential Front-End Tech & Architecture Insights: Storage, Configs, Performance, Design
JD Tech Talk
JD Tech Talk
Nov 24, 2022 · Artificial Intelligence

Design and Implementation of an Online Inference Service for Risk‑Control Algorithms

This article describes the architecture, key features, dynamic deployment, performance optimizations, and real‑world results of a high‑throughput online inference platform that serves deep‑learning models for JD.com’s risk‑control decision engine, achieving near‑hundred‑fold latency improvements.

AIModel ServingPerformance Optimization
0 likes · 11 min read
Design and Implementation of an Online Inference Service for Risk‑Control Algorithms
MaGe Linux Operations
MaGe Linux Operations
Nov 23, 2022 · Backend Development

Boost Go Performance 42% with One Tiny Change: Escape Analysis Explained

An accidental discovery by a GitHub engineer revealed that moving a single '&' operator in a Go program eliminated unnecessary copies, reduced heap allocations via escape analysis, and improved execution speed by 42%, highlighting common pitfalls in Go’s regex engine, malloc, and garbage collection.

Backend DevelopmentEscape AnalysisGo
0 likes · 5 min read
Boost Go Performance 42% with One Tiny Change: Escape Analysis Explained
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Nov 23, 2022 · Frontend Development

Front‑end Performance Optimization: Lazy Loading Techniques (Route, Image, and Module)

This article introduces front‑end lazy‑loading strategies—including route lazy loading, three image lazy‑loading methods (native, scroll‑event, and IntersectionObserver), and module lazy loading—explaining their principles, showing complete React/Vue code examples, and demonstrating how they reduce initial load time and improve user experience.

Performance Optimizationintersection observerlazy loading
0 likes · 12 min read
Front‑end Performance Optimization: Lazy Loading Techniques (Route, Image, and Module)
UCloud Tech
UCloud Tech
Nov 21, 2022 · Cloud Computing

How UCloud Revamped US3 Metadata Service for 80% Cost Savings and Faster Performance

UCloud’s US3 object storage metadata service, originally built on a chained MongoDB architecture, faced scalability, performance, and cost challenges, prompting a redesign that introduces a high‑compatibility DB‑Gateway, a distributed KV store (UKV) with custom RocksDB, delivering faster reads, zero list‑service latency, 80% cost reduction, and simpler operations.

Distributed KVObject StoragePerformance Optimization
0 likes · 8 min read
How UCloud Revamped US3 Metadata Service for 80% Cost Savings and Faster Performance
JavaEdge
JavaEdge
Nov 20, 2022 · Backend Development

Designing a Scalable E‑Commerce Inventory System: Stock Deduction & DB Strategies

This article explains how to build a reliable e‑commerce inventory system by handling concurrent stock deductions, designing inventory and flow tables, using optimistic locking and transactions, and scaling the solution with read‑write splitting and Redis caching to meet high‑QPS demands.

Database DesignPerformance Optimizationinventory
0 likes · 9 min read
Designing a Scalable E‑Commerce Inventory System: Stock Deduction & DB Strategies
Meituan Technology Team
Meituan Technology Team
Nov 17, 2022 · Backend Development

Elasticsearch Query and Merge Optimization Using Run-Length Encoding for Meituan Takeaway Search

Meituan's food‑delivery search team identified heavy CPU and latency hotspots in Elasticsearch's posting‑list query and merge phases, then redesigned the inverted index using Run‑Length Encoding, hash‑based term lookup, index sorting and a custom SparseRoaringDocIdSet, ultimately reducing TP99 search latency by 84% and cutting CPU usage dramatically.

ElasticsearchIndex SortingJava
0 likes · 26 min read
Elasticsearch Query and Merge Optimization Using Run-Length Encoding for Meituan Takeaway Search
Architects' Tech Alliance
Architects' Tech Alliance
Nov 16, 2022 · Industry Insights

What Ten Lessons Google Learned from a Decade of TPU Evolution?

This article reviews a decade of Google TPU development, highlighting ten technical and architectural lessons, the hardware's impact on the AI industry, performance and energy‑efficiency improvements, and strategies for reducing machine‑learning carbon footprints.

Domain-specific ArchitectureGoogleMachine Learning Hardware
0 likes · 19 min read
What Ten Lessons Google Learned from a Decade of TPU Evolution?
Past Memory Big Data
Past Memory Big Data
Nov 15, 2022 · Big Data

How Uber Accelerated Presto Queries with Alluxio Local Cache

Uber processes over 500,000 daily Presto queries across 20 clusters handling more than 50 PB of data, and by deploying Alluxio Local Cache on NVMe disks they raised cache‑hit rates from roughly 65% to over 90% while addressing real‑time partition updates, node churn, and cache‑size constraints.

AlluxioBig DataConsistent Hashing
0 likes · 15 min read
How Uber Accelerated Presto Queries with Alluxio Local Cache
Laravel Tech Community
Laravel Tech Community
Nov 13, 2022 · Backend Development

Design and Implementation of a Short URL Service

This article explains the value, underlying HTTP redirect mechanism, and detailed design approaches—including hash‑based and distributed‑ID generation, base‑62 encoding, database storage, caching, indexing, sharding, and rate‑limiting—to build a scalable short‑link service.

HTTP redirectPerformance Optimizationhash algorithm
0 likes · 12 min read
Design and Implementation of a Short URL Service
IEG Growth Platform Technology Team
IEG Growth Platform Technology Team
Nov 11, 2022 · Game Development

Performance Optimization of Cocos Exported WeChat Mini‑Games: Strategies, Code Adjustments, and Testing Tools

This guide details practical performance‑optimization techniques for Cocos‑based WeChat mini‑games, covering scene and prefab optimizations, asset compression, code size reduction, garbage‑collection handling, mask usage, plugin assistance, code‑level improvements, and a suite of testing tools to measure and verify the gains.

CocosGame DevelopmentPerformance Optimization
0 likes · 15 min read
Performance Optimization of Cocos Exported WeChat Mini‑Games: Strategies, Code Adjustments, and Testing Tools
HomeTech
HomeTech
Nov 9, 2022 · Mobile Development

Optimizing Infinite Waterfall List Performance in React Native Using RecyclerListView

This article explains how the automotive app team tackled severe scrolling lag on low‑end Android devices by replacing the default FlatList with a reusable RecyclerListView implementation, detailing rendering principles, layout calculations, height estimation techniques, and the resulting performance gains.

FlatListMobile DevelopmentPerformance Optimization
0 likes · 8 min read
Optimizing Infinite Waterfall List Performance in React Native Using RecyclerListView
政采云技术
政采云技术
Nov 8, 2022 · Big Data

User Path Analysis in the Hunyi System: Design, Computation Logic, and StarRocks Implementation

This article explains user path analysis as a method to visualize and optimize user flow, describes its productization in the Hunyi analytics platform, details the underlying computation logic, presents a complex StarRocks SQL solution, discusses performance challenges, and suggests future improvements and recruitment opportunities.

Big DataPerformance OptimizationStarRocks
0 likes · 21 min read
User Path Analysis in the Hunyi System: Design, Computation Logic, and StarRocks Implementation
ByteFE
ByteFE
Nov 4, 2022 · Frontend Development

Turbopack vs Vite: A Comparative Analysis of Performance

The article examines Turbopack's claimed performance advantages over Vite, critiques marketing-driven comparisons in open-source tools, and emphasizes the need for transparent, peer-reviewed evaluations in frontend development.

CSS GridDockerFrontend Development
0 likes · 4 min read
Turbopack vs Vite: A Comparative Analysis of Performance
Bilibili Tech
Bilibili Tech
Nov 4, 2022 · Big Data

Advancements and Optimizations of FlinkSQL at Bilibili

Bilibili’s FlinkSQL team has enhanced the Flink engine—now based on 1.11 with back‑ported 1.15 features—by adding Delay‑Join, table‑valued functions, projection‑push‑down, UDF and object reuse, automatic mini‑batch/two‑phase aggregation, key‑group skew fixes, connector slot‑groups, real‑time projection with Hudi, and RocksDB state‑performance tweaks, while planning remote state backends and deeper stream‑batch integration.

FlinkSQLPerformance OptimizationReal-time Projection
0 likes · 29 min read
Advancements and Optimizations of FlinkSQL at Bilibili
Tencent Cloud Developer
Tencent Cloud Developer
Nov 2, 2022 · Fundamentals

C++ Performance Traps: Hidden Costs of Abstraction and Compiler Optimization Pitfalls

Modern C++ performance suffers when seemingly harmless abstractions—such as virtual functions, hidden copies, non‑trivial destructors, overused std::shared_ptr, type‑erasing wrappers, std::variant/optional, and std::async—prevent inlining and efficient memory use, while patterns like std::move on returns, hidden destructors in tail recursion, and branchy loops thwart NRVO, tail‑call, and auto‑vectorization optimizations.

C++Compiler OptimizationNRVO
0 likes · 16 min read
C++ Performance Traps: Hidden Costs of Abstraction and Compiler Optimization Pitfalls
Code Ape Tech Column
Code Ape Tech Column
Nov 1, 2022 · Backend Development

Performance Optimization of Template Variable Replacement in Alipay Card Package

This article analyzes the original template‑variable replacement logic used in Alipay's card package, identifies costly String.replace operations, and presents five iterative optimizations—including removal of indexOf/substring, caching with Guava, and replacing String.replace with StringBuilder—that together achieve more than a ten‑fold speedup while discussing trade‑offs in readability and resource consumption.

Backend DevelopmentCachingJava
0 likes · 8 min read
Performance Optimization of Template Variable Replacement in Alipay Card Package
Top Architect
Top Architect
Oct 29, 2022 · Databases

Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization

This article provides a comprehensive overview of Elasticsearch, covering its underlying Lucene architecture, data types, cluster components, shard allocation, indexing mechanisms, storage strategies, and performance tuning tips for building scalable, near‑real‑time search solutions.

Distributed SystemsPerformance Optimizationindexing
0 likes · 35 min read
Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization
Ctrip Technology
Ctrip Technology
Oct 27, 2022 · Frontend Development

Lingjie Page-Level Micro‑Frontend Framework: Principles, Types, and Practical Usage

This article introduces the Lingjie page‑level micro‑frontend solution, explains the concept and types of micro‑frontends, describes its design principles and iframe‑based architecture, outlines core features, and provides step‑by‑step guidance for integrating and optimizing applications with Lingjie.

Frontend ArchitecturePerformance Optimizationiframe
0 likes · 15 min read
Lingjie Page-Level Micro‑Frontend Framework: Principles, Types, and Practical Usage
Architect's Guide
Architect's Guide
Oct 27, 2022 · Big Data

Elasticsearch Overview: Data Types, Lucene Foundations, Core Concepts, Cluster Architecture, Indexing, Storage, and Performance Optimization

This article provides a comprehensive introduction to Elasticsearch, covering the distinction between structured and unstructured data, Lucene’s inverted index, ES core concepts such as clusters, nodes, shards and replicas, mapping, basic usage, storage mechanisms, and practical performance‑tuning tips for large‑scale search deployments.

Distributed SystemsElasticsearchPerformance Optimization
0 likes · 39 min read
Elasticsearch Overview: Data Types, Lucene Foundations, Core Concepts, Cluster Architecture, Indexing, Storage, and Performance Optimization
HomeTech
HomeTech
Oct 26, 2022 · Game Development

Unity Rendering and Performance Optimization for the VI Sales Crown Tool

This article presents a comprehensive guide to Unity rendering pipelines, key terminology, and practical performance‑optimization techniques—including AR, texture, memory, heat, and package‑size improvements—applied to the VI Sales Crown product, with detailed tools, methods, and measurable results.

ARGame DevelopmentPerformance Optimization
0 likes · 14 min read
Unity Rendering and Performance Optimization for the VI Sales Crown Tool
Architect's Guide
Architect's Guide
Oct 22, 2022 · Big Data

Meituan’s Kafka Optimizations: Reducing Read/Write Latency and Managing Large‑Scale Clusters

This article describes how Meituan’s data platform tackles the growing challenges of a 15,000‑plus‑node Kafka deployment by detailing current bottlenecks, latency‑reduction techniques across application and system layers, large‑scale cluster management strategies, and future directions for robustness and cloud‑native migration.

Big DataKafkaLarge-Scale Clusters
0 likes · 21 min read
Meituan’s Kafka Optimizations: Reducing Read/Write Latency and Managing Large‑Scale Clusters
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Oct 19, 2022 · Artificial Intelligence

Why Storage Systems Bottleneck AI Training and How to Accelerate Them

This article examines the comprehensive challenges AI applications face from storage to compute, traces the evolution of AI training infrastructure, analyzes key bottlenecks such as compute acceleration, resource scheduling, massive data handling and data flow, and presents Baidu Cloud's storage acceleration solutions—including parallel file systems, caching, and the Fluid scheduler—to dramatically improve AI training performance.

AI trainingData LakePerformance Optimization
0 likes · 38 min read
Why Storage Systems Bottleneck AI Training and How to Accelerate Them
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Oct 17, 2022 · Big Data

Understanding Data Skew and Its Mitigation Strategies in Distributed Computing

The article explains what data skew is in distributed computing, analyzes its logical and data‑level causes, and presents preventive and remedial techniques such as data partitioning, logical replacement, two‑stage aggregation, increasing parallelism, and data cleaning to improve processing efficiency.

Data SkewPerformance OptimizationSpark
0 likes · 8 min read
Understanding Data Skew and Its Mitigation Strategies in Distributed Computing
Top Architect
Top Architect
Oct 14, 2022 · Databases

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, installation steps, health monitoring, indexing workflow, storage strategies, refresh and translog handling, segment merging, and practical performance tuning tips.

ClusterElasticsearchPerformance Optimization
0 likes · 36 min read
Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization
Alimama Tech
Alimama Tech
Oct 12, 2022 · Cloud Computing

Dynamic Compute Allocation for Alibaba Advertising Engine: Design, Implementation, and Experiments

The paper describes a green‑computing‑focused system for Alibaba Mama’s display ad engine that dynamically reallocates CPU cores among services by offline analysis of response‑time, concurrency and RPM data, enabling up to 3 % revenue gains while reducing operational cost.

Performance Optimizationadvertising enginedynamic compute
0 likes · 15 min read
Dynamic Compute Allocation for Alibaba Advertising Engine: Design, Implementation, and Experiments
Yunxuetang Frontend Team
Yunxuetang Frontend Team
Sep 30, 2022 · Frontend Development

Key Insights on Modern Frontend Architecture, UX, and Performance

This article curates essential thoughts and summaries on frontend architecture, SAP system design, ToB customization, JavaScript framework evolution, micro‑interaction design, information loading UX, and micro‑frontend performance analysis, highlighting how clear, flexible, and scalable structures drive rapid, stable product growth.

Micro FrontendsPerformance Optimizationjavascript frameworks
0 likes · 3 min read
Key Insights on Modern Frontend Architecture, UX, and Performance
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Sep 26, 2022 · Databases

Mastering Horizontal Scaling with TDSQL: Design, Practices, and Performance

This article explains the motivations, challenges, and design principles of horizontal scaling for databases, using TDSQL as a case study to illustrate architecture, scaling procedures, shard key selection, high‑availability mechanisms, distributed transactions, and performance optimization techniques.

Performance OptimizationTDSQLdistributed database
0 likes · 24 min read
Mastering Horizontal Scaling with TDSQL: Design, Practices, and Performance
Meituan Technology Team
Meituan Technology Team
Sep 22, 2022 · Artificial Intelligence

Quantization Deployment Scheme for YOLOv6: Methods, Optimizations, and Performance Evaluation

The paper proposes a full quantization pipeline for YOLOv6 that combines a re‑parameterization optimizer, partial PTQ, channel‑wise distillation, graph‑scale merging, and GPU‑offloaded preprocessing, enabling an INT8 model to retain ~42 % mAP while delivering over 200 % throughput increase and 40 % QPS gain versus FP16.

Channel DistillationModel DeploymentPTQ
0 likes · 16 min read
Quantization Deployment Scheme for YOLOv6: Methods, Optimizations, and Performance Evaluation
macrozheng
macrozheng
Sep 22, 2022 · Backend Development

How Switching to StringBuilder Made Template Rendering 10× Faster

An in‑depth case study of Alipay’s card‑coupon template engine reveals that replacing costly String.replace calls with a custom StringBuilder implementation, combined with caching strategies, can boost rendering performance by more than tenfold, while also reducing memory overhead and improving scalability.

CachingJavaPerformance Optimization
0 likes · 11 min read
How Switching to StringBuilder Made Template Rendering 10× Faster
Su San Talks Tech
Su San Talks Tech
Sep 19, 2022 · Databases

How InnoDB Locates the First Record in a B‑Tree Scan Range

This article explains why locating a record in a B‑Tree index is crucial for MySQL InnoDB operations, describes scan intervals, index page structures, and details the step‑by‑step binary and sequential search process used to find the first matching record, including performance optimizations.

B-TreeBinary SearchIndex Scan
0 likes · 28 min read
How InnoDB Locates the First Record in a B‑Tree Scan Range
Bilibili Tech
Bilibili Tech
Sep 16, 2022 · Big Data

Design and Optimization of Bilibili Log Service 2.0 Using ClickHouse and OpenTelemetry

Bilibili’s Log Service 2.0 replaces its Elastic‑Stack pipeline with an OpenTelemetry‑driven architecture that writes logs via high‑performance Go/Java SDKs to ClickHouse, delivering ten‑fold write throughput, two‑fold query speed, one‑third storage cost, a custom query gateway, visualization UI, and advanced alerting.

ClickHouseObservabilityOpenTelemetry
0 likes · 27 min read
Design and Optimization of Bilibili Log Service 2.0 Using ClickHouse and OpenTelemetry
Java Architect Essentials
Java Architect Essentials
Sep 15, 2022 · Databases

Why Redis Is Fast: In‑Memory Storage, Specialized Data Structures, Single‑Threaded Model, and I/O Multiplexing

Redis achieves exceptional speed by operating as an in‑memory database, leveraging compact data structures like SDS, linked lists, hash tables, skip lists and ziplists, running a single‑threaded event loop with I/O multiplexing, and employing optimizations such as lazy‑free, progressive rehashing, and multithreaded network I/O.

Data StructuresI/O MultiplexingPerformance Optimization
0 likes · 18 min read
Why Redis Is Fast: In‑Memory Storage, Specialized Data Structures, Single‑Threaded Model, and I/O Multiplexing
vivo Internet Technology
vivo Internet Technology
Sep 14, 2022 · Backend Development

Performance Optimization Practices in Vivo Push Recommendation Service

The Vivo Push recommendation service was dramatically accelerated by replacing regex‑based String.split with a custom utility, converting massive String‑key maps to long keys, and moving large caches off‑heap, which together cut latency by about 32%, boosted throughput roughly 45% and nearly doubled overall performance.

Hotspot CodeJVMJava
0 likes · 15 min read
Performance Optimization Practices in Vivo Push Recommendation Service
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Sep 14, 2022 · Mobile Development

Building a High‑Precision Full‑Chain Event Tracking System for Mobile Apps

This article presents a comprehensive, high‑precision, stable, and full‑link event tracking solution for iOS, Android, and H5 clients, detailing the shortcomings of traditional point‑tracking, the design of objects and a virtual tree (VTree), AOP‑based click handling, exposure tracking via VTree diffs, performance optimizations, refer‑based link tracing, and integration with H5/RN, all validated in the NetEase Cloud Music ecosystem.

AndroidFull‑Link TracingPerformance Optimization
0 likes · 24 min read
Building a High‑Precision Full‑Chain Event Tracking System for Mobile Apps
Tencent Cloud Developer
Tencent Cloud Developer
Sep 13, 2022 · Databases

Implementing a Transparent Data Encryption Framework for Database Security

The article presents a transparent data‑encryption framework for database security that uses an AOP‑based driver interceptor to rewrite SQL, encrypt/decrypt sensitive fields, manage performance with locks and caching, support configurable algorithms via SPI/YAML, and guide a three‑phase migration with minimal code intrusion.

AOPData MigrationPerformance Optimization
0 likes · 11 min read
Implementing a Transparent Data Encryption Framework for Database Security
ITPUB
ITPUB
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
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 OptimizationRuntime Architecture
0 likes · 17 min read
Technical Overview of Xiaohongshu Mini‑App Runtime Architecture and Engineering
Alibaba Cloud Developer
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
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.

Distributed SystemsPerformance OptimizationRemote Shuffle
0 likes · 11 min read
How ByteDance’s Cloud Shuffle Service Boosts Big Data Job Stability and Performance
Code Ape Tech Column
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.

AsynchronousJavaPerformance Optimization
0 likes · 12 min read
Seven Common Spring Boot Performance Optimization Techniques
Qunhe Technology Quality Tech
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
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
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
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 DevelopmentObservabilityPerformance Optimization
0 likes · 20 min read
How Baidu Optimized Low‑End Device Startup Performance: A Deep Dive
Alipay Experience Technology
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
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.

FUSENode.jsOverlay Filesystem
0 likes · 14 min read
How cnpm rapid Accelerates npm Installations by Up to 10× with FUSE and Overlay
php Courses
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
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.

Backend DevelopmentJVMJava
0 likes · 11 min read
Seven Key Directions for Java Code Performance Optimization
Model Perspective
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
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.

DBLEData MigrationMySQL Migration
0 likes · 18 min read
Step-by-Step Migration of Large MySQL Datasets to DBLE Using TiDB DM
ByteFE
ByteFE
Aug 12, 2022 · Industry Insights

Top Tech Reads: Frontend SDK Design, Cloud IDE Futures, Webpack Optimization

A curated roundup of technical deep‑dives covering Byte's frontend monitoring SDK architecture, the evolving landscape of Cloud IDEs, practical Webpack performance tricks, React Fiber internals, open‑platform front‑end design, visual log‑tracing solutions, engineering culture, the Bud framework, and clear explanations of TCP/UDP and iterators versus generators.

Cloud ComputingDevOpsFrontend
0 likes · 8 min read
Top Tech Reads: Frontend SDK Design, Cloud IDE Futures, Webpack Optimization
Shopee Tech Team
Shopee Tech Team
Aug 12, 2022 · Backend Development

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
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 comparisonData TestingPerformance Optimization
0 likes · 8 min read
Testing Plan and Efficiency Strategies for a Data Download Refactoring Project
IT Architects Alliance
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
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
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.

BFFBackend DevelopmentPerformance Optimization
0 likes · 15 min read
Visual Service Orchestration for BFF Layer in JD Finance App: Challenges, Design, and Impact
Baidu Geek Talk
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.

BOSCompute-Storage SeparationData Lake
0 likes · 17 min read
How Baidu Cloud Accelerates Data Lakes with Compute‑Storage Separation
Zuoyebang Tech Team
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
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
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.

Desktop DevelopmentElectronIPC
0 likes · 19 min read
Desktop Development with Electron: Technology Selection, Build Process, Performance Optimization, Quality Assurance, and Security
ITPUB
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.

Big DataData SkippingHive
0 likes · 31 min read
How Bilibili Scaled Offline Computing: Migrating from Hive to Spark and Boosting Performance
DataFunTalk
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.

Big DataData StreamingDistributed Systems
0 likes · 23 min read
Design, Evolution, and Optimization of NetEase's Log Collection and Transmission Service (Datastream‑NG)
ITPUB
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 BotBackend ArchitectureDialogue Engine
0 likes · 17 min read
How an AI Interview Bot Scaled 20× Faster with Backend Architecture Optimizations
StarRocks
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.

Big DataOLAPPerformance Optimization
0 likes · 12 min read
How 37 Mobile Games Boosted Analytics with StarRocks: A Real‑World Performance Case Study
DataFunTalk
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
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.

Big DataElasticsearchPerformance Optimization
0 likes · 35 min read
Elasticsearch Overview: Core Concepts, Architecture, and Practical Usage
NetEase LeiHuo UX Big Data Technology
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.

AIGame IndustryPerformance Optimization
0 likes · 8 min read
Evolution of Real‑Time Game Recommendation System at NetEase Leihuo
GuanYuan Data Tech Team
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.

Big DataGBDTPerformance Optimization
0 likes · 38 min read
How to Train Massive GBDT Models on Spark: A Complete Step‑by‑Step Guide
Top Architect
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.

DatabasePerformance OptimizationRedis
0 likes · 30 min read
Understanding Redis Memory Model and Its Applications
dbaplus Community
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
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.

Frontend ArchitecturePerformance Optimizationdependency tracking
0 likes · 21 min read
How Tubes Uses a Reactive Data System to Optimize Multi‑Screen Rendering
Selected Java Interview Questions
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.

ClusterElasticsearchPerformance Optimization
0 likes · 36 min read
Understanding Elasticsearch: Core Concepts, Architecture, Indexing Mechanics and Performance Optimization
Su San Talks Tech
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 cachePerformance Optimizationcache line
0 likes · 10 min read
Understanding CPU Cache False Sharing and How to Eliminate It
Top Architect
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
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.

Big DataFile ProcessingJava
0 likes · 13 min read
How to Find the Most Frequent Age in a 10 GB File Using Java Multithreading
ITPUB
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
DaTaobao Tech
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
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 OptimizationShardingSphere
0 likes · 18 min read
Rainbow Bridge: A ShardingSphere‑Based Database Middleware for Scalability and Reliability
HelloTech
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
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
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.

DebounceFrontend DevelopmentJavaScript
0 likes · 7 min read
Understanding JavaScript Throttle and Debounce: Concepts, Code Examples, and Practical Applications
DaTaobao Tech
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
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
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
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