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performance optimization

2019 articles · Page 16 of 21
Architect's Tech Stack
Architect's Tech Stack
Sep 13, 2020 · Big Data

Evolution and Optimization of JD Daojia Order Center Elasticsearch Cluster

This article details how JD Daojia's order center migrated from a simple MySQL‑backed system to a high‑throughput Elasticsearch cluster, describing each architectural phase, performance tuning measures, dual‑cluster real‑time backup, version upgrades, data synchronization strategies, and the key pitfalls encountered such as deep pagination and FieldData memory issues.

Cluster ArchitectureData synchronizationDocValues
0 likes · 11 min read
Evolution and Optimization of JD Daojia Order Center Elasticsearch Cluster
Big Data Technology & Architecture
Big Data Technology & Architecture
Sep 11, 2020 · Big Data

Evolution of JD.com Order Center Elasticsearch Cluster Architecture

This article details how JD.com's order center migrated its Elasticsearch cluster from a simple, default‑configured setup to a highly available, multi‑replica, dual‑cluster architecture with version upgrades, data synchronization strategies, and performance optimizations to support billions of documents and hundreds of millions of daily queries.

Big DataCluster ArchitectureData synchronization
0 likes · 12 min read
Evolution of JD.com Order Center Elasticsearch Cluster Architecture
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Sep 2, 2020 · Mobile Development

Rebuilding NetEase Cloud Music's React Native Infrastructure: From 0.33 to 0.6, Automated Deployment, Codemod, and Multi‑Platform Strategy

NetEase Cloud Music rebuilt its React Native stack from version 0.33 to 0.6, introducing automated one‑click deployment, a custom codemod that migrated all apps in a day, and a three‑platform toolchain that unified iOS, Android, and web, boosting checkout reach to 99% and scaling to over ten production RN applications.

Automated DeploymentCross‑Platformcodemod
0 likes · 14 min read
Rebuilding NetEase Cloud Music's React Native Infrastructure: From 0.33 to 0.6, Automated Deployment, Codemod, and Multi‑Platform Strategy
Didi Tech
Didi Tech
Aug 28, 2020 · Operations

Ceph Performance Optimization: Lock-Related Issues and Solutions

The article details how Didi’s large‑scale Ceph deployment suffered from high tail latency due to long‑held and coarse‑grained locks, and describes a series of fixes—including asynchronous read threads, fine‑grained object caches, per‑thread lock‑free logging, and lock‑free filestore apply—that cut latency by up to 90 % and more than doubled read throughput.

BlueStoreCephFileStore
0 likes · 12 min read
Ceph Performance Optimization: Lock-Related Issues and Solutions
Tencent Cloud Developer
Tencent Cloud Developer
Aug 27, 2020 · Big Data

Elasticsearch Overview: Architecture, Lucene Foundations, Application Scenarios, and Optimizations

Elasticsearch, built on Apache Lucene, provides a distributed, near‑real‑time search platform that scales to billions of documents across thousands of nodes, supporting use cases such as log analytics, time‑series monitoring, and product search, while Tencent’s CES adds advanced availability, performance, and cost‑optimizing features.

Big DataElasticsearchLucene
0 likes · 17 min read
Elasticsearch Overview: Architecture, Lucene Foundations, Application Scenarios, and Optimizations
Ctrip Technology
Ctrip Technology
Aug 27, 2020 · Frontend Development

Memory Leak Analysis and Optimization for Desktop Front‑End Applications

This article examines the unique memory‑leak challenges of desktop front‑end applications, explains JavaScript memory management, presents analysis methods using Chrome's Memory panel and a binary‑search approach, and offers practical optimization, verification, and monitoring techniques to keep memory usage low during rapid feature iterations.

Desktop applicationFrontend Performanceperformance optimization
0 likes · 9 min read
Memory Leak Analysis and Optimization for Desktop Front‑End Applications
Aotu Lab
Aotu Lab
Aug 25, 2020 · Frontend Development

How We Boosted a WeChat Mini‑Program’s Audit Score from 68 to 100

This article walks through a systematic performance audit of the Jingxi Mini‑Program, identifies seven key penalty items—including excessive WXML nodes, oversized images, tiny tap targets, redundant network calls, and unbound data—and details concrete optimizations that reduced the audit score to a perfect 100.

AuditsNetwork RequestsWXML
0 likes · 11 min read
How We Boosted a WeChat Mini‑Program’s Audit Score from 68 to 100
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Aug 25, 2020 · Fundamentals

Understanding Bitwise Operations in Java: Uses, Representations, and the Seven Operators

This article explains the purpose and practical benefits of bitwise operations in Java, describes signed number representations (sign‑magnitude, ones' complement, two's complement), shows how bits can optimize time and space, and details the seven common bitwise operators with examples and a reference table.

Javaalgorithm fundamentalsbinary representation
0 likes · 13 min read
Understanding Bitwise Operations in Java: Uses, Representations, and the Seven Operators
Tencent Cloud Developer
Tencent Cloud Developer
Aug 24, 2020 · Databases

Tencent Cloud MySQL 8.0 Enterprise Features and Industry Applications

Tencent Cloud MySQL 8.0 builds on official MySQL improvements with eight enterprise‑grade enhancements—TDE encryption, kernel‑level audit, multi‑queue thread pool, strong consistency, AEP SSD support, lightweight AP mode, hotspot updates, and SQL rate‑limiting—delivering high‑performance, secure, and scalable solutions for e‑commerce, gaming, finance, and new‑retail workloads while paving the way for cloud‑native, AI‑driven database evolution.

MySQLcloud-nativeindustry use cases
0 likes · 30 min read
Tencent Cloud MySQL 8.0 Enterprise Features and Industry Applications
Programmer DD
Programmer DD
Aug 23, 2020 · Databases

How to Overcome Database Bottlenecks with Sharding: Strategies and Tools

This article explains common I/O and CPU bottlenecks in databases, compares horizontal and vertical sharding techniques, outlines practical partitioning strategies, introduces popular sharding tools, and provides step‑by‑step guidance for implementing and scaling sharded architectures.

Horizontal PartitioningScalingVertical Partitioning
0 likes · 10 min read
How to Overcome Database Bottlenecks with Sharding: Strategies and Tools
Programmer DD
Programmer DD
Aug 22, 2020 · Backend Development

Why Elasticsearch Can Be Slow and How to Supercharge Its Performance

This article examines common Elasticsearch interview questions, explains why initial searches can be slow, and provides practical strategies such as leveraging filesystem cache, data pre‑heating, cold‑hot index separation, minimal document design, and scroll or search_after APIs to dramatically improve search performance and pagination efficiency.

ElasticsearchFilesystem Cachedata modeling
0 likes · 13 min read
Why Elasticsearch Can Be Slow and How to Supercharge Its Performance
Programmer DD
Programmer DD
Aug 21, 2020 · Backend Development

How Gradle 6.6’s Configuration Caching Supercharges Build Performance

Gradle 6.6 introduces experimental configuration caching, runtime classpath normalization, and a new credentials API, all aimed at dramatically speeding up builds, improving cache hit rates, and simplifying secure artifact publishing for Java projects.

Configuration CachingGradlebuild automation
0 likes · 6 min read
How Gradle 6.6’s Configuration Caching Supercharges Build Performance
FunTester
FunTester
Aug 20, 2020 · Backend Development

Efficiently Deleting Tens of Thousands of Records via API: Serial, Async, and Multithreaded Solutions

Faced with tens of thousands of dirty records and no bulk‑delete API, the author iteratively optimized a deletion script—starting with simple serial requests, then adding asynchronous HTTP calls, and finally employing multithreading—to achieve rapid, reliable removal of hundreds of entries per second.

APIAsynchronousBatch Deletion
0 likes · 6 min read
Efficiently Deleting Tens of Thousands of Records via API: Serial, Async, and Multithreaded Solutions
JD.com Experience Design Center
JD.com Experience Design Center
Aug 19, 2020 · Frontend Development

Revamping JD VSP: From Legacy PC UI to Modern Vue & TypeScript Architecture

This article details the comprehensive redesign of JD VSP's PC platform, covering the motivations for the overhaul, the adoption of Vue, TypeScript, Gaea scaffolding, Legao component library, performance enhancements with icon fonts and PWA caching, and the implementation of robust development tooling such as ESLint and code‑generation workflows.

ESLintPWATypeScript
0 likes · 26 min read
Revamping JD VSP: From Legacy PC UI to Modern Vue & TypeScript Architecture
Xianyu Technology
Xianyu Technology
Aug 19, 2020 · Mobile Development

Optimizing Xianyu Android App Cold Start: Cutting Launch Time by Half

By establishing measurable standards, profiling the launch flow, and applying task‑governance techniques—delaying, shrinking and splitting blocking tasks—plus home‑page shortcuts like ad pre‑fetch, background view creation and SharedPreferences caching, Xianyu’s Android cold‑start on low‑end phones dropped from about ten seconds to under five, with the first screen in ~1.3 seconds and full launch in 4.5 seconds.

AndroidCold StartTask Scheduling
0 likes · 10 min read
Optimizing Xianyu Android App Cold Start: Cutting Launch Time by Half
macrozheng
macrozheng
Aug 18, 2020 · Databases

Mastering MySQL Passive Performance Optimization: Principles & Practical Solutions

This article explains the core principles of performance optimization, distinguishes active and passive approaches, and provides detailed MySQL passive tuning techniques—including index usage, data partitioning, slow‑query logging, and read/write splitting—to prevent and resolve slow SQL queries.

DatabasePassive OptimizationSQL Tuning
0 likes · 14 min read
Mastering MySQL Passive Performance Optimization: Principles & Practical Solutions
Java Architect Essentials
Java Architect Essentials
Aug 15, 2020 · Backend Development

Design and Optimization of Bilibili Live Chat (GOIM) System

This article explains how Bilibili's GOIM live chat system was architected and continuously optimized to achieve high stability, high availability, and sub‑second latency through modular backend components, memory and module optimizations, and multi‑IDC network improvements.

architecturebackendchat system
0 likes · 13 min read
Design and Optimization of Bilibili Live Chat (GOIM) System
Tencent Music Tech Team
Tencent Music Tech Team
Aug 14, 2020 · Frontend Development

Web Implementation of Transparent Video Gift Animations Using Canvas and WebGL

The article describes how a live‑room video‑gift feature originally built for mobile was ported to a web client by extracting separate color and alpha video streams, compositing them on canvas, then migrating the per‑pixel blending to WebGL shaders, which cut CPU usage dramatically, raise frame rates to about 60 FPS, and outline further optimisations such as pre‑loading, mobile support, and possible MSE or WebAssembly approaches.

CanvasWebGLalpha-blending
0 likes · 9 min read
Web Implementation of Transparent Video Gift Animations Using Canvas and WebGL
Java Architect Essentials
Java Architect Essentials
Aug 14, 2020 · Industry Insights

Designing High‑Performance, Scalable Architecture for Large‑Scale Websites

This article provides a comprehensive overview of large‑scale website architecture, covering characteristic traits, performance and availability goals, layered design patterns, security measures, scalability and extensibility strategies, evolution stages, capacity estimation, and practical optimization techniques for e‑commerce platforms.

Distributed ArchitectureE‑commercehigh availability
0 likes · 25 min read
Designing High‑Performance, Scalable Architecture for Large‑Scale Websites
Tencent Cloud Developer
Tencent Cloud Developer
Aug 12, 2020 · Databases

How Autonomous Databases Evolve: From Stone Age to AI‑Driven Self‑Healing

This article traces the evolution of database autonomy from manual, knowledge‑driven operations through tool‑assisted and expert‑level stages to cloud‑native intelligent services, and details Tencent's DBbrain platform, its architecture, performance‑optimization, security, monitoring, cost‑based analysis, and future self‑healing capabilities.

AI OpsCloud databasesDBbrain
0 likes · 29 min read
How Autonomous Databases Evolve: From Stone Age to AI‑Driven Self‑Healing
Aotu Lab
Aotu Lab
Aug 12, 2020 · Frontend Development

Boost WeChat Mini‑Program Performance: Proven Techniques from JD’s 京喜 Home Page

This article details JD’s 京喜 mini‑program performance overhaul, covering user‑centric metrics, dual‑thread architecture, code‑size reduction, asset optimization, plugin‑based rendering, data‑handling strategies, and memory management to dramatically improve startup, rendering, and overall user experience.

TaROWeChat mini programWeb Performance
0 likes · 41 min read
Boost WeChat Mini‑Program Performance: Proven Techniques from JD’s 京喜 Home Page
Big Data Technology Architecture
Big Data Technology Architecture
Aug 12, 2020 · Big Data

Overview of New Features and Improvements in Apache Spark 3.0

Apache Spark 3.0 introduces a suite of performance enhancements, richer APIs, improved monitoring, SQL compatibility, new data sources, and ecosystem extensions, including Adaptive Query Execution, Dynamic Partition Pruning, Join Hints, pandas UDF improvements, and accelerator‑aware scheduling, to boost scalability and ease of use for big‑data workloads.

Apache SparkSpark 3.0adaptive query execution
0 likes · 15 min read
Overview of New Features and Improvements in Apache Spark 3.0
Big Data Technology Architecture
Big Data Technology Architecture
Aug 12, 2020 · Databases

Core Features and Architecture of ClickHouse

ClickHouse, the high‑performance columnar OLAP DBMS behind Yandex.Metrica, combines complete DBMS capabilities, column‑oriented storage with compression, vectorized execution, flexible table engines, multi‑master clustering, and extensive SQL support, offering fast online queries and scalable distributed processing for massive data workloads.

ClickHouseColumnar DatabaseOLAP
0 likes · 28 min read
Core Features and Architecture of ClickHouse
Youku Technology
Youku Technology
Aug 10, 2020 · Mobile Development

Youku Player Architecture Redesign Based on Pipeline Pattern

Youku’s player was rebuilt with a pipeline‑pattern architecture that unifies playback stages into a modular framework, enabling plug‑in customization, multi‑source support, reduced memory and startup overhead, clearer structure, and improved stability and extensibility for future business innovations.

AndroidCache PipelinePipeline pattern
0 likes · 11 min read
Youku Player Architecture Redesign Based on Pipeline Pattern
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Aug 9, 2020 · Databases

MySQL Passive Performance Optimization Principles and Practices

This article explains the principles of MySQL performance optimization, distinguishes active and passive approaches, and provides concrete solutions for slow single queries, partially slow queries, and overall slow queries through proper indexing, data partitioning, slow‑query‑log configuration, and read‑write splitting.

Data PartitioningMySQLSlow Query Log
0 likes · 12 min read
MySQL Passive Performance Optimization Principles and Practices
Didi Tech
Didi Tech
Aug 5, 2020 · Artificial Intelligence

DiDi IFX AI Inference Platform: Architecture, Performance, and Productization

DiDi’s IFX AI inference platform, built since 2018, uses a four‑layer architecture spanning access, software, engine, and compute to deliver cloud, edge, and device inference with high‑performance kernel optimizations, model and binary compression, uniform multi‑framework deployment, automated testing, and end‑to‑end security for billions of daily calls.

AI Inferenceedge computingmodel compression
0 likes · 9 min read
DiDi IFX AI Inference Platform: Architecture, Performance, and Productization
Mafengwo Technology
Mafengwo Technology
Aug 5, 2020 · Backend Development

Boost Recommendation Engine Performance with Off‑Heap Cache (OHC) in Java

This article explains the principles and practical implementation of the Java off‑heap cache framework OHC, detailing its architecture, memory allocation, serialization, configuration, and real‑world performance results within the MaFengWo recommendation engine, illustrating how it reduces latency and improves cache hit rates.

JavaRecommendation Enginebackend caching
0 likes · 18 min read
Boost Recommendation Engine Performance with Off‑Heap Cache (OHC) in Java
Selected Java Interview Questions
Selected Java Interview Questions
Aug 4, 2020 · Databases

Fundamental Concepts and Best Practices for Database Design

This article presents a comprehensive guide to database design, covering the relationship between source documents and entities, primary and foreign keys, table properties, normalization standards, handling many‑to‑many relationships, key selection, data redundancy, ER diagram considerations, view usage, intermediate and temporary tables, integrity constraints, the "Three‑Few" principle, and practical techniques for improving database performance.

ER diagramForeign Keydatabase-design
0 likes · 14 min read
Fundamental Concepts and Best Practices for Database Design
Tencent Cloud Developer
Tencent Cloud Developer
Aug 4, 2020 · Cloud Computing

Tencent Cloud Elasticsearch Optimization Practices in Tencent Meeting: High Availability, Performance, and Cost-Effective Solutions

Tencent Meeting migrated its quality‑analysis system to Tencent Cloud Elasticsearch, tackling OOM failures, 3 M/s write spikes and scaling limits by adding multi‑AZ deployment, leaky‑bucket rate limiting, streaming aggregation checks, optimized merge and translog handling, plus hot‑warm storage, ILM, multi‑disk and off‑heap caching, cutting cluster size from 15 000 to under 300 nodes while maintaining high availability and performance.

ElasticsearchTencent Cloudperformance optimization
0 likes · 23 min read
Tencent Cloud Elasticsearch Optimization Practices in Tencent Meeting: High Availability, Performance, and Cost-Effective Solutions
Huolala Tech
Huolala Tech
Aug 4, 2020 · Big Data

How to Accelerate Hive UDFs by Caching Large Geo Data: A 140× Speed Boost

To dramatically improve Hive UDF performance when converting coordinates to administrative districts, this article compares two implementation strategies, details the technical challenges of repeatedly loading a 157 MB Geo data file, and presents a static‑cached solution that reduces query time from seconds to milliseconds, achieving roughly a 140‑fold speed increase.

HiveStatic CachingUDF
0 likes · 15 min read
How to Accelerate Hive UDFs by Caching Large Geo Data: A 140× Speed Boost
58 Tech
58 Tech
Jul 31, 2020 · Mobile Development

Performance Optimization of React Native Pages in 58 App: Analysis and Solutions

This article analyzes the startup latency of React Native pages in the 58 real‑estate app, identifies bottlenecks such as bundle size, hot‑update and Java‑to‑JS bridge delays, and presents a series of optimization techniques—including bundle splitting, silent updates, on‑demand loading, and stepwise rendering—to achieve faster, more stable page launches.

AndroidBundle SplittingCache
0 likes · 16 min read
Performance Optimization of React Native Pages in 58 App: Analysis and Solutions
dbaplus Community
dbaplus Community
Jul 31, 2020 · Databases

Optimizing TimesTen Cache Group Rebuilds During Oracle 19c Migration

A telecom client migrated from IBM AIX/Oracle 11g to a domestic X86 appliance with Oracle 19c, encountering slow TimesTen Cache Group rebuilds, and the article details the root‑cause analysis and step‑by‑step optimization that cut rebuild time to one‑third.

Cache GroupDatabase MigrationOracle 19c
0 likes · 10 min read
Optimizing TimesTen Cache Group Rebuilds During Oracle 19c Migration
IT Architects Alliance
IT Architects Alliance
Jul 25, 2020 · Fundamentals

What Makes Distributed File Systems Tick? Design Principles and Trade‑offs

This article examines the core concepts, architectural models, scalability, persistence, high availability, performance optimization, and security considerations of distributed file systems, comparing centralized and decentralized designs such as GFS and Ceph to guide future system design decisions.

Distributed File Systemarchitectureconsistency
0 likes · 21 min read
What Makes Distributed File Systems Tick? Design Principles and Trade‑offs
Ctrip Technology
Ctrip Technology
Jul 23, 2020 · Artificial Intelligence

Inference Performance Optimization for AI Applications: Methods, Case Studies, and Future Directions

This article examines the challenges of deep learning inference, outlines general optimization methodologies—including system-level and model-level techniques—presents practical case studies such as Transformer translation model improvements, and discusses future trends in automated compilation and performance tuning for AI services.

AI InferenceDeep LearningTVM
0 likes · 15 min read
Inference Performance Optimization for AI Applications: Methods, Case Studies, and Future Directions
Tencent Cloud Developer
Tencent Cloud Developer
Jul 21, 2020 · Big Data

Scaling Tencent Meeting Video Stream Quality Analysis with Tencent Cloud Elasticsearch

Facing explosive growth and massive video‑stream quality data, Tencent Meeting migrated its custom Lucene‑based analysis engine to Tencent Cloud Elasticsearch, which delivered over 1 million writes per second, automatic sharding, reduced latency from hours to seconds, and sustained 99.99% availability, proving a high‑performance, scalable solution for large‑scale video conferencing.

Big DataCloud ComputingElasticsearch
0 likes · 16 min read
Scaling Tencent Meeting Video Stream Quality Analysis with Tencent Cloud Elasticsearch
Beike Product & Technology
Beike Product & Technology
Jul 16, 2020 · Backend Development

Migrating PHP Services to Golang: Performance Optimization and Concurrency Practices

This article details a real‑world migration from PHP to Golang for a high‑traffic mini‑program backend, explaining the performance bottlenecks of PHP, the advantages of Go such as goroutine concurrency and low‑memory footprint, the step‑by‑step implementation, caching strategy, monitoring, tooling, and the measurable latency and stability improvements achieved.

backend-migrationcachingconcurrency
0 likes · 14 min read
Migrating PHP Services to Golang: Performance Optimization and Concurrency Practices
Architects' Tech Alliance
Architects' Tech Alliance
Jul 15, 2020 · Fundamentals

Design Considerations and Architecture of Distributed File Systems

This article provides a comprehensive overview of distributed file systems, covering their historical evolution, essential requirements such as POSIX compliance, persistence, scalability, and security, and compares centralized (e.g., GFS) and decentralized (e.g., Ceph) architectures, along with strategies for high availability, performance optimization, and handling small files.

Distributed File SystemStorage Architectureconsistency
0 likes · 21 min read
Design Considerations and Architecture of Distributed File Systems
Tencent Cloud Developer
Tencent Cloud Developer
Jul 15, 2020 · Mobile Development

Performance Optimization of Web Pages in the QQ Music Android Client

The article details how QQ Music’s Android client reduced WebView page load latency by over 25% through pre‑loading the TBS kernel, pooling WebView instances, parallel request loading, shared asset caching, and precise timing metrics that combine native callbacks with DOM‑interactive timestamps, offering cross‑platform lessons.

Androidcross-platformmobile development
0 likes · 11 min read
Performance Optimization of Web Pages in the QQ Music Android Client
AntTech
AntTech
Jul 13, 2020 · Artificial Intelligence

ElasticDL: An Open‑Source Distributed Deep Learning Framework with Elastic Scheduling

ElasticDL is an open‑source distributed deep learning framework built on TensorFlow 2.x and Kubernetes that simplifies programming by letting users define models with the Keras API, while providing elastic scheduling, fault tolerance, and significant performance gains demonstrated through extensive benchmarks.

Distributed Deep LearningElasticDLKubernetes
0 likes · 19 min read
ElasticDL: An Open‑Source Distributed Deep Learning Framework with Elastic Scheduling
Amap Tech
Amap Tech
Jun 30, 2020 · Backend Development

Practices of Asynchronous and Reactive Technologies in Gaode Yuntu Backend

Gaode Yuntu transformed its backend from a blocking servlet architecture to an asynchronous, event‑driven reactive stack using Vert.x, Spring WebFlux, Project Reactor and OpenResty, achieving a 480% QPS boost, higher resource efficiency, stable latency, and plans for RSocket back‑pressure and domain‑driven design.

AsynchronousJavaReactive Programming
0 likes · 11 min read
Practices of Asynchronous and Reactive Technologies in Gaode Yuntu Backend
360 Tech Engineering
360 Tech Engineering
Jun 19, 2020 · Databases

TiDB Overview: Architecture, Deployment, Advantages, and Practical Tips

This article explains how TiDB, a MySQL‑compatible distributed NewSQL database, solves large‑table performance issues with horizontal scaling, describes its core components, deployment guidelines, key advantages, and practical tips such as avoiding auto‑increment IDs, handling hotspots, version quirks, backup strategies, and monitoring with Grafana.

MySQL CompatibilityTiDBhorizontal scaling
0 likes · 12 min read
TiDB Overview: Architecture, Deployment, Advantages, and Practical Tips
360 Quality & Efficiency
360 Quality & Efficiency
Jun 19, 2020 · Databases

TiDB Overview: Architecture, Deployment, Advantages, and Practical Tips

This article introduces TiDB, an open‑source distributed HTAP database compatible with MySQL, explains its architecture—including TiDB Server, PD, TiKV, and TiSpark—covers deployment requirements, highlights key advantages such as elastic scaling, fault‑tolerance, strong consistency, and provides practical tips and common pitfalls for production use.

HTAPMySQL CompatibilityTiDB
0 likes · 13 min read
TiDB Overview: Architecture, Deployment, Advantages, and Practical Tips
Laravel Tech Community
Laravel Tech Community
Jun 16, 2020 · Mobile Development

Kuaishou’s APM Platform and Mobile Performance Optimization: Insights from Yang Kai

In a mobile‑first world where limited device resources and unstable networks threaten user retention, Kuaishou’s performance team built an APM monitoring platform and applied systematic memory, startup, and jank optimizations that cut startup time by 40%, reduced package size by 23 MB, and significantly improved key product metrics.

APMKuaishouMemory Management
0 likes · 9 min read
Kuaishou’s APM Platform and Mobile Performance Optimization: Insights from Yang Kai
DataFunTalk
DataFunTalk
Jun 14, 2020 · Big Data

Practical Experience and Optimization of Apache Druid for Real‑Time OLAP at iQIYI

This article describes how iQIYI evaluated various OLAP engines, selected Apache Druid for real‑time analytics, detailed its architecture, identified performance bottlene‑cks in Coordinator, Overlord and indexing, applied configuration and resource‑allocation optimizations, and built a user‑friendly RAP platform to democratize real‑time data analysis.

Apache DruidBig DataReal-time OLAP
0 likes · 15 min read
Practical Experience and Optimization of Apache Druid for Real‑Time OLAP at iQIYI
Programmer DD
Programmer DD
Jun 4, 2020 · Backend Development

How Meituan Built a Scalable Rule Engine to Boost Efficiency

This article examines Meituan's evolution from hard‑coded validation to a custom rule‑engine framework, detailing case studies of store information checks, audit workflows, and performance metric calculations, and explains the design of the Maze framework that separates business logic from system code while improving maintainability and scalability.

Rule EngineSystem Designbackend development
0 likes · 21 min read
How Meituan Built a Scalable Rule Engine to Boost Efficiency
iQIYI Technical Product Team
iQIYI Technical Product Team
May 29, 2020 · Big Data

Real-Time OLAP with Apache Druid at iQiyi: Architecture, Optimizations, and Platform Practices

iQiyi replaced its offline OLAP stack with Apache Druid, leveraging its real‑time, multi‑dimensional engine and a five‑component architecture, while solving coordinator and overlord bottlenecks, optimizing indexing resources, adopting KIS mode, and building the self‑service RAP platform that now powers thousands of low‑latency dashboards.

Apache DruidKISReal-time OLAP
0 likes · 17 min read
Real-Time OLAP with Apache Druid at iQiyi: Architecture, Optimizations, and Platform Practices
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
May 29, 2020 · Fundamentals

Is ARM‑Based Kunpeng the Next Leap Beyond x86? A Practical Migration Guide

The article examines the historical shift from mainframes to x86, highlights the emerging limitations of x86 in the era of mobile and cloud computing, and presents Huawei's ARM‑based Kunpeng platform with its performance advantages, ecosystem support, and step‑by‑step tools for migrating Java, Python, C/C++ and Go applications from x86 to ARM.

ARMC++Cloud Computing
0 likes · 14 min read
Is ARM‑Based Kunpeng the Next Leap Beyond x86? A Practical Migration Guide
Baidu Maps Tech Team
Baidu Maps Tech Team
May 29, 2020 · Frontend Development

How Baidu’s Web Map Engine Evolved Over a Decade: From Tiles to WebGL

Over the past ten years, Baidu’s map web engine has transformed from a server‑rendered tile system to a sophisticated WebGL‑based platform, introducing vector rendering, canvas drawing, line thinning, clipping, WebWorkers, WebAssembly, and advanced interaction features to boost performance, flexibility, and 3D capabilities.

Baidu MapsCanvasWebGL
0 likes · 10 min read
How Baidu’s Web Map Engine Evolved Over a Decade: From Tiles to WebGL
Alibaba Cloud Developer
Alibaba Cloud Developer
May 26, 2020 · Frontend Development

How Edge Stream Rendering (ESR) Boosts Front‑End Performance

This article explores the limitations of traditional front‑end performance techniques for first‑page loads and introduces a new Edge Stream Rendering (ESR) approach that leverages CDN edge computing to stream static and dynamic content sequentially, reducing TTFB, white‑screen time, and core content display latency across various network conditions.

CDNESRSSR
0 likes · 19 min read
How Edge Stream Rendering (ESR) Boosts Front‑End Performance
dbaplus Community
dbaplus Community
May 25, 2020 · Operations

Scaling CAT Monitoring at Ctrip: Thread Model, Client Computation & Memory Tweaks

This article details how Ctrip optimized the CAT monitoring system—covering its large‑scale deployment, thread‑model redesign, offloading calculations to clients, double‑buffered reporting, and string handling improvements—to dramatically cut CPU usage, GC pressure, and memory consumption while handling billions of messages daily.

GCJavaMonitoring
0 likes · 25 min read
Scaling CAT Monitoring at Ctrip: Thread Model, Client Computation & Memory Tweaks
TAL Education Technology
TAL Education Technology
May 21, 2020 · Mobile Development

DStack: A Hybrid Stack Management Framework for Flutter and Native Integration

The article introduces DStack, a self‑developed hybrid stack management framework that unifies Flutter and native pages through a node‑based architecture, explains its design choices over flutter_boost, showcases performance and functional improvements in the Xueersi 1v1 apps, and outlines future open‑source plans.

Cross‑PlatformHybrid DevelopmentMobile Framework
0 likes · 8 min read
DStack: A Hybrid Stack Management Framework for Flutter and Native Integration
Top Architect
Top Architect
May 21, 2020 · Backend Development

Comprehensive Guide to Java Application Performance Optimization and Diagnosis

This article provides an in‑depth overview of Java application performance optimization, covering a four‑layer model (application, database, framework, JVM), on‑site and post‑mortem analysis methods, OS and JVM diagnostic tools, common code and GC issues, database deadlock handling, and practical tuning recommendations.

GCJVMJava
0 likes · 23 min read
Comprehensive Guide to Java Application Performance Optimization and Diagnosis
Zhengtong Technical Team
Zhengtong Technical Team
May 20, 2020 · Cloud Native

Case Study: Full Cloud Migration of the "Smart Citizen Pass" Mini‑Program Using Kubernetes and Cloud Services

This article details the background, initial ECS‑based deployment, performance bottlenecks during rapid user growth, and the comprehensive cloud‑native migration—including DNS load balancing, managed Kubernetes, CDN acceleration, RDS/Redis replacement, and NAS/OSS storage—resulting in significant scalability and operational improvements for the Smart Citizen Pass mini‑program.

CDNKubernetesRDS
0 likes · 15 min read
Case Study: Full Cloud Migration of the "Smart Citizen Pass" Mini‑Program Using Kubernetes and Cloud Services
Ctrip Technology
Ctrip Technology
May 14, 2020 · Backend Development

Improving Ctrip's AB Experiment Splitter: Design, Performance Optimization, and Backend Architecture

The article details Ctrip's challenges with multiple AB testing splitters, presents performance gains after migrating to a new splitter, and explains the comprehensive redesign covering overall architecture, interface consolidation, SDK slimming, and a custom distributed cache backend to achieve higher throughput and lower latency.

AB testingCtripbackend design
0 likes · 12 min read
Improving Ctrip's AB Experiment Splitter: Design, Performance Optimization, and Backend Architecture
FunTester
FunTester
May 14, 2020 · Operations

How Parallel Selenium Testing Can Slash Execution Time and Boost CI/CD

This article explains why and how to implement parallel testing with Selenium, illustrating the massive time savings, broader test coverage, cost benefits, and integration with continuous integration pipelines through practical examples and step‑by‑step guidelines.

CI/CDParallel Testingperformance optimization
0 likes · 6 min read
How Parallel Selenium Testing Can Slash Execution Time and Boost CI/CD
Tencent Tech
Tencent Tech
May 11, 2020 · Big Data

How Tencent Scaled Elasticsearch to Thousands of Nodes: Core Kernel Optimizations Revealed

This article details Tencent's large‑scale Elasticsearch deployment, covering its massive usage scenarios, the availability, performance, cost and scalability challenges faced, and the comprehensive kernel‑level optimizations—including memory‑based throttling, storage‑model merging, off‑heap caching, rollup and metadata improvements—that enable PB‑level clusters with high reliability and low expense.

Big DataElasticsearchdistributed systems
0 likes · 27 min read
How Tencent Scaled Elasticsearch to Thousands of Nodes: Core Kernel Optimizations Revealed
ITPUB
ITPUB
May 11, 2020 · Operations

Scaling JD.com Order Search: Real‑Time Dual‑Cluster Elasticsearch Architecture

This article details how JD.com’s order center evolved its Elasticsearch deployment from a single, default‑configured cluster to a real‑time, dual‑cluster architecture with replica tuning, master‑slave failover, version upgrades, and optimized data synchronization to handle billions of documents and hundreds of millions of daily queries.

Cluster ArchitectureData synchronizationElasticsearch
0 likes · 13 min read
Scaling JD.com Order Search: Real‑Time Dual‑Cluster Elasticsearch Architecture
JD Retail Technology
JD Retail Technology
May 8, 2020 · Mobile Development

Dynamic UI Solution for JD Mobile Apps: DSL‑Based Cross‑Platform Architecture and Implementation

This article details JD Shanghai's mobile team exploration of a dynamic UI solution that uses a custom domain‑specific language (DSL) to enable cross‑platform (iOS, Android, H5) page publishing without client updates, describing design goals, architecture layers, template management, event handling, performance optimizations, and real‑world deployment.

DSLDynamic UImobile
0 likes · 14 min read
Dynamic UI Solution for JD Mobile Apps: DSL‑Based Cross‑Platform Architecture and Implementation
Xianyu Technology
Xianyu Technology
May 7, 2020 · Frontend Development

Design and Implementation of a Front-End Complex Event Processing Framework

The article presents a pure front‑end Complex Event Processing framework that captures user actions, uses an NFA‑based engine to evaluate dynamic strategies, synchronizes data across pages via local storage, and delivers millisecond‑level real‑time user reach on Mini‑program, Web, and Weex platforms.

CEPFront-endMulti-Container
0 likes · 8 min read
Design and Implementation of a Front-End Complex Event Processing Framework
Top Architect
Top Architect
May 7, 2020 · Backend Development

Comprehensive Guide to Java Application Performance Optimization and Diagnosis

This article presents a thorough overview of Java application performance optimization, covering a four‑layer model (application, database, framework, JVM), practical OS and Java diagnostic tools, JVM and GC tuning, application‑level code improvements, and database deadlock mitigation strategies.

JVMJavadatabase tuning
0 likes · 21 min read
Comprehensive Guide to Java Application Performance Optimization and Diagnosis
Zhengtong Technical Team
Zhengtong Technical Team
Apr 30, 2020 · Big Data

Design and Performance Optimization of an Intelligent Search System for City Operations Big Data Center

This article describes the background, requirement‑driven prototype design, Elasticsearch‑based query‑DSL selection, and extensive performance tuning—including hardware configuration, indexing parameters, JVM and garbage‑collector adjustments—that enabled real‑time ingestion of hundreds of thousands of records and sub‑second search responses for a city‑wide data platform.

Big DataElasticsearchIntelligent Search
0 likes · 12 min read
Design and Performance Optimization of an Intelligent Search System for City Operations Big Data Center
Baidu App Technology
Baidu App Technology
Apr 24, 2020 · Mobile Development

How Baidu’s Smart Mini‑Program Framework Achieves Near‑Native Performance

This article details the evolution of Baidu’s smart mini‑program framework, explains its multi‑layer architecture, outlines the startup phases and performance metrics, and provides concrete optimization techniques—including package splitting, resource compression, early data fetching, and setData best practices—to help developers deliver near‑native mobile experiences.

BaiduMini Programframework architecture
0 likes · 16 min read
How Baidu’s Smart Mini‑Program Framework Achieves Near‑Native Performance
Big Data Technology Architecture
Big Data Technology Architecture
Apr 24, 2020 · Big Data

Kyligence Kylin on Parquet: Architecture, Engine Design, and Performance Evaluation

The article introduces Kyligence's Kylin on Parquet solution, explains its plug‑in architecture, reasons for replacing HBase with Parquet, details the new Spark‑based build and query engines, auto‑tuning, global dictionary, fault‑tolerance features, and presents performance comparisons with Kylin 3.0.

Apache KylinSparkdata warehouse
0 likes · 11 min read
Kyligence Kylin on Parquet: Architecture, Engine Design, and Performance Evaluation
Qunar Tech Salon
Qunar Tech Salon
Apr 24, 2020 · Databases

Applying Apache Doris in Meituan Food Delivery Data Warehouse: Dual Engine Architecture and Performance Optimizations

The article details Meituan's food‑delivery data warehouse transformation from a MOLAP‑centric design to a dual‑engine (MOLAP + ROLAP) architecture powered by Apache Doris, describing the challenges of massive, mutable data, the technical trade‑offs, and the performance gains achieved through MPP, predicate push‑down, multi‑instance concurrency, colocate joins, and bitmap aggregation.

Apache DorisBig DataMOLAP
0 likes · 16 min read
Applying Apache Doris in Meituan Food Delivery Data Warehouse: Dual Engine Architecture and Performance Optimizations
Java Backend Technology
Java Backend Technology
Apr 22, 2020 · Databases

Master MySQL Partitioning and Sharding: Theory, Practice, and Performance

This article explains the programming mindset of splitting and merging, details MySQL partition implementation and internal file types, demonstrates how partitioning improves query performance, and explores sharding strategies, middleware choices, and common issues like distributed transactions and cross‑shard joins.

Distributed TransactionsMySQLdatabase-design
0 likes · 11 min read
Master MySQL Partitioning and Sharding: Theory, Practice, and Performance
macrozheng
macrozheng
Apr 22, 2020 · Databases

13 Proven Techniques to Supercharge Redis Performance

Learn how to dramatically boost Redis speed by shortening key/value sizes, enabling lazy free, setting expirations, disabling costly commands, using slowlog, pipelines, avoiding mass expirations, optimizing clients, limiting memory, running on physical servers, tweaking persistence, disabling THP, and adopting distributed architectures.

DatabaseLazy FreeMemory Management
0 likes · 19 min read
13 Proven Techniques to Supercharge Redis Performance
DataFunTalk
DataFunTalk
Apr 15, 2020 · Big Data

Apache Flink OLAP Engine: Architecture, Optimizations, and Use Cases

This article presents an in‑depth overview of Apache Flink's new OLAP engine, covering OLAP fundamentals, the three OLAP models, Flink's unified streaming‑batch‑OLAP architecture, performance optimizations, benchmark results, and future development directions.

Apache FlinkBig DataOLAP
0 likes · 11 min read
Apache Flink OLAP Engine: Architecture, Optimizations, and Use Cases
AntTech
AntTech
Apr 3, 2020 · Frontend Development

Optimizing 3D WebGL Performance for Alipay's Spring Red Envelope Project

During Alipay's massive Spring Red Envelope campaign, the frontend team introduced WebGL 3D scenes and particle effects, tackling memory, transmission size, and rendering performance through model reduction, texture compression, GLB packaging, progressive loading, and GPU‑based particle optimizations to achieve stable, low‑latency user experiences.

3D graphicsParticle SystemsTexture Compression
0 likes · 19 min read
Optimizing 3D WebGL Performance for Alipay's Spring Red Envelope Project
WecTeam
WecTeam
Apr 2, 2020 · Frontend Development

How to Optimize WeChat Mini Program Performance: Data, Components, and SASS Tips

This article explains how to keep WeChat mini‑programs fast and small by wisely managing the Page data object, using customData or pureData, choosing proper component communication methods, limiting SASS nesting, and handling templates, imports, and main‑package resources.

SassWeChat mini programcomponent communication
0 likes · 15 min read
How to Optimize WeChat Mini Program Performance: Data, Components, and SASS Tips
Youzan Coder
Youzan Coder
Apr 1, 2020 · Big Data

Presto Implementation and Practice at YouZan: A Big Data Query Engine Journey

The article outlines Presto’s high‑performance, coordinator‑worker architecture and query flow, describes YouZan’s migration from mixed Hadoop deployment to dedicated low‑latency clusters, details challenges such as small‑file handling and regex backtracking with their fixes, and previews future enhancements like Alluxio integration, session property managers, and Ranger‑based multi‑tenant isolation.

Distributed ComputingFacebookHDFS
0 likes · 14 min read
Presto Implementation and Practice at YouZan: A Big Data Query Engine Journey
Senior Brother's Insights
Senior Brother's Insights
Mar 31, 2020 · Databases

Boost Redis Performance: 13 Proven Optimization Techniques

Learn how to dramatically improve Redis performance by shortening key-value sizes, enabling lazy free, setting expirations, disabling costly commands, using slowlog, leveraging pipeline, preventing mass expirations, optimizing client connections, limiting memory, running on physical servers, configuring persistence, disabling THP, and adopting distributed architectures.

Lazy FreeMemory ManagementPersistence
0 likes · 18 min read
Boost Redis Performance: 13 Proven Optimization Techniques
Didi Tech
Didi Tech
Mar 31, 2020 · Big Data

Elasticsearch Version Upgrade: Architecture, Challenges, and Performance Optimization at Didi

Over seven months, Didi’s Elasticsearch team upgraded more than 30 clusters, 2,000 nodes and 4 PB of data from version 2.3.3 to 6.6.1, overcoming protocol and mapping incompatibilities with a multi‑version Arius Gateway, custom Java SDK, ECM and AMS, while saving 1 PB of storage, decommissioning 400 machines, boosting query speed by 40 %, write throughput by 30 % and cutting CPU use 10 % for an estimated 80 w/month cost reduction.

Elasticsearcharchitectureperformance optimization
0 likes · 18 min read
Elasticsearch Version Upgrade: Architecture, Challenges, and Performance Optimization at Didi
Java Backend Technology
Java Backend Technology
Mar 31, 2020 · Databases

Mastering Database Bottlenecks: When and How to Shard Effectively

This article explains common database performance bottlenecks such as IO and CPU limits, introduces horizontal and vertical sharding concepts, compares sharding tools, outlines practical implementation steps, discusses common pitfalls, and provides scaling strategies to keep your data layer responsive under heavy load.

Horizontal PartitioningScalingVertical Partitioning
0 likes · 11 min read
Mastering Database Bottlenecks: When and How to Shard Effectively
21CTO
21CTO
Mar 26, 2020 · Mobile Development

How WeChat Pay’s C++ Cross‑Platform Framework Solved Mobile Payment Challenges

WeChat Pay’s new C++ cross‑platform framework unifies iOS and Android payment flows, reducing code by 45%, cutting development time, improving crash stability, and introducing a routing mechanism, use‑case abstraction, and disciplined data handling to boost productivity and quality across mobile payment services.

C++RoutingSoftware Architecture
0 likes · 14 min read
How WeChat Pay’s C++ Cross‑Platform Framework Solved Mobile Payment Challenges
WecTeam
WecTeam
Mar 26, 2020 · Frontend Development

Boost WeChat Mini Program Performance: Proven Strategies & Metrics

This article details comprehensive techniques for optimizing the performance of WeChat Mini Programs, covering metrics definition, Taro framework usage, code and asset reduction, rendering improvements, memory management, and real‑world results from the 京喜 homepage, providing actionable guidance for developers.

Code SplittingTaROWeChat mini program
0 likes · 39 min read
Boost WeChat Mini Program Performance: Proven Strategies & Metrics
Aotu Lab
Aotu Lab
Mar 26, 2020 · Mobile Development

How to Supercharge WeChat Mini‑Program Performance: Real‑World Practices from JD’s JX App

This article details how JD’s JX mini‑program team tackled massive user traffic by defining user‑centric performance metrics, leveraging the Taro framework, optimizing startup, rendering, network requests, resource handling, component design, and memory usage to dramatically improve first‑screen speed and overall stability.

TaROWeChat Mini-Programfrontend
0 likes · 40 min read
How to Supercharge WeChat Mini‑Program Performance: Real‑World Practices from JD’s JX App
Amap Tech
Amap Tech
Mar 23, 2020 · Fundamentals

Performance Optimization of bsdiff for In‑Car Navigation OTA Updates

To enable fast, low‑memory OTA updates on resource‑constrained car head units, Amap’s team reengineered bsdiff by adopting a divsufsort‑based variant, adding a sliding‑window buffer, and swapping Bzip2 for lightweight RLE with secondary compression, reducing patch time to 3‑5 seconds and memory usage to about 2 MB.

OTA updatebinary diffbsdiff
0 likes · 8 min read
Performance Optimization of bsdiff for In‑Car Navigation OTA Updates
macrozheng
macrozheng
Mar 23, 2020 · Backend Development

Boost Spring Security Performance with Redis Caching and AOP Exception Handling

Learn how to resolve performance bottlenecks in a Spring‑based mall project by caching user and permission data in Redis, adding cache logic with RedisTemplate, and using AOP to gracefully handle Redis failures, ensuring stable authentication even when the cache is unavailable.

AOPRedisSpring Boot
0 likes · 13 min read
Boost Spring Security Performance with Redis Caching and AOP Exception Handling
Java Captain
Java Captain
Mar 22, 2020 · Databases

Database Bottlenecks and Sharding Strategies: Horizontal/Vertical Partitioning, Tools, and Best Practices

This article analyzes common database I/O and CPU bottlenecks, explains horizontal and vertical sharding concepts, presents practical sharding rules, discusses tooling such as Sharding‑Sphere, TDDL and Mycat, and outlines step‑by‑step procedures and common pitfalls for scaling relational databases.

Horizontal PartitioningVertical Partitioningdatabases
0 likes · 11 min read
Database Bottlenecks and Sharding Strategies: Horizontal/Vertical Partitioning, Tools, and Best Practices
Big Data Technology Architecture
Big Data Technology Architecture
Mar 21, 2020 · Big Data

Comprehensive Spark Performance Optimization: Development Tuning, Resource Configuration, Data Skew Handling, and Shuffle Tuning

This article presents a complete guide to Spark performance optimization, covering development‑time best practices, resource‑parameter tuning, systematic detection and resolution of data skew, and detailed shuffle‑related parameter adjustments, all illustrated with Scala code examples.

Data SkewSparkperformance optimization
0 likes · 67 min read
Comprehensive Spark Performance Optimization: Development Tuning, Resource Configuration, Data Skew Handling, and Shuffle Tuning
Java Backend Technology
Java Backend Technology
Mar 21, 2020 · Databases

How Zhihu Scaled to Trillions of Rows with TiDB: Lessons from Moneta

Zhihu’s Moneta service, handling over 1.3 trillion rows and billions of daily writes, migrated from MySQL sharding to TiDB, achieving millisecond query latency, high availability, and horizontal scalability, while sharing architectural choices, performance metrics, migration challenges, and future expectations for TiDB 3.0.

Database ScalingHTAPMySQL Migration
0 likes · 16 min read
How Zhihu Scaled to Trillions of Rows with TiDB: Lessons from Moneta
Ctrip Technology
Ctrip Technology
Mar 19, 2020 · Backend Development

Performance Optimization Practices for Ctrip's CAT Monitoring System

This article details Ctrip's implementation and performance optimization of the CAT application monitoring system, covering its deployment, thread‑model redesign, client‑side computation offloading, double‑buffered reporting, and string handling improvements that reduced CPU usage and GC pressure.

CATGCJava
0 likes · 23 min read
Performance Optimization Practices for Ctrip's CAT Monitoring System
Liulishuo Tech Team
Liulishuo Tech Team
Mar 17, 2020 · Backend Development

High‑Performance Image Generation Service Using Puppeteer with Connection Pool and Parameter Optimization

This article describes how a content‑heavy company built a scalable, high‑quality image generation service for its app by leveraging Puppeteer, a custom connection‑pool implementation, CDN caching, launch‑argument tuning, and performance monitoring to achieve low latency and high throughput.

Image RenderingNode.jsPuppeteer
0 likes · 8 min read
High‑Performance Image Generation Service Using Puppeteer with Connection Pool and Parameter Optimization
Baidu App Technology
Baidu App Technology
Mar 9, 2020 · Mobile Development

Choosing the Best Android Process‑Start Timestamp for Cold‑Start Optimization

The article examines Android cold‑start performance by comparing three process‑creation timestamps—Application <init>, Process.getStartElapsedRealTime, and /proc/self/stat starttime—detailing their origins, extraction methods, conversion formulas, and practical guidance on which to use for accurate startup measurement.

AndroidCold StartProcess Timing
0 likes · 11 min read
Choosing the Best Android Process‑Start Timestamp for Cold‑Start Optimization
Architects' Tech Alliance
Architects' Tech Alliance
Mar 6, 2020 · Fundamentals

Design Principles and Architecture of Distributed File Systems

This article provides a comprehensive overview of distributed file systems, covering their historical evolution, essential requirements, architectural models with and without a central node, persistence strategies, scalability, high availability, performance optimizations, security mechanisms, and practical considerations for small‑file workloads.

Distributed File SystemStorage Architectureconsistency
0 likes · 20 min read
Design Principles and Architecture of Distributed File Systems
Selected Java Interview Questions
Selected Java Interview Questions
Mar 6, 2020 · Databases

Best Practices for Choosing Database Indexes

This article outlines essential principles for selecting and managing database indexes, covering unique indexes, indexing frequently sorted or filtered columns, limiting index count, using short or prefix indexes, removing unused indexes, left‑most prefix matching, column cardinality, avoiding functions on indexed columns, and extending existing indexes.

MySQLUnique Indexindex design
0 likes · 7 min read
Best Practices for Choosing Database Indexes