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performance optimization

2019 articles · Page 8 of 21
Architect
Architect
Feb 17, 2024 · Backend Development

How Bilibili Scaled Its Membership Purchase System: Call‑Chain Refactor, Async Ordering, and Sharding

This article details how Bilibili’s membership‑purchase platform tackled massive traffic spikes by redesigning the order call chain, introducing concurrent and asynchronous processing, and applying a sharding strategy that split databases and tables, ultimately boosting latency performance and supporting over 4,000 TPS during peak sales.

Async ProcessingDatabase Scalingbackend
0 likes · 15 min read
How Bilibili Scaled Its Membership Purchase System: Call‑Chain Refactor, Async Ordering, and Sharding
DataFunTalk
DataFunTalk
Feb 17, 2024 · Big Data

JD Logistics One‑Stop Agile BI Solution: Architecture, Challenges, and Optimization

This article presents JD Logistics' one‑stop agile BI platform, detailing the complex data sources, rapid requirement changes, and Chinese‑style reporting challenges it addresses, while outlining the UData solution, product methodology, performance enhancements, and real‑world case studies that demonstrate significant efficiency gains.

Agile AnalyticsBIBig Data
0 likes · 26 min read
JD Logistics One‑Stop Agile BI Solution: Architecture, Challenges, and Optimization
NewBeeNLP
NewBeeNLP
Feb 8, 2024 · Artificial Intelligence

How Speculative Decoding Supercharges Large Language Model Inference

This survey examines speculative decoding—a draft‑then‑verify technique that parallelizes token generation to cut LLM inference latency, outlines its core components, compares independent and self‑drafting methods, discusses verification strategies, and highlights open research challenges.

Artificial IntelligenceLLM inferenceParallelism
0 likes · 15 min read
How Speculative Decoding Supercharges Large Language Model Inference
DataFunSummit
DataFunSummit
Feb 7, 2024 · Big Data

Evolution of OLAP with Apache Doris at Xingyun Retail Credit

Facing rapid data growth, Xingyun Retail Credit transitioned from traditional OLTP systems to an Apache Doris‑based OLAP solution, detailing the data demand generation, OLAP engine selection challenges, multi‑stage implementation, performance gains, data‑warehouse construction, and future roadmap for scalable analytics.

Apache DorisBig DataFinTech
0 likes · 17 min read
Evolution of OLAP with Apache Doris at Xingyun Retail Credit
Architect
Architect
Feb 4, 2024 · Backend Development

How We Revamped QQ Browser Content Architecture: From Microservices to a High‑Performance Monolith

Facing low development efficiency, poor CPU utilization, and fragile fault tolerance, the QQ Browser content ingestion team rebuilt a 93‑service microservice system into a single‑process, plugin‑driven architecture, achieving up to 13‑fold throughput gains, 10‑fold batch‑processing speedups, and dramatically reduced lead times and code complexity.

C++CI/CDSystem Design
0 likes · 22 min read
How We Revamped QQ Browser Content Architecture: From Microservices to a High‑Performance Monolith
Su San Talks Tech
Su San Talks Tech
Feb 4, 2024 · Databases

Essential MySQL Design & Performance Guidelines You Should Follow

This article compiles practical MySQL best‑practice rules covering character set selection, InnoDB usage, naming conventions, field design, index strategies, SQL coding standards, and operational safeguards to help developers build robust, high‑performance databases.

MySQLbest practicesperformance optimization
0 likes · 24 min read
Essential MySQL Design & Performance Guidelines You Should Follow
Sohu Tech Products
Sohu Tech Products
Jan 31, 2024 · Industry Insights

How Didi Scaled Real‑Time Dashboards with StarRocks Materialized Views

This article details Didi's evolution from a multi‑engine OLAP stack to a unified StarRocks solution, explains the design of global dictionaries and materialized views for real‑time dashboard acceleration, and shares performance results, challenges, and future optimization directions.

Big DataDidiMaterialized Views
0 likes · 19 min read
How Didi Scaled Real‑Time Dashboards with StarRocks Materialized Views
DataFunTalk
DataFunTalk
Jan 28, 2024 · Databases

Practical Experience of StarRocks Materialized Views at Didi

This article presents Didi's practical experience with StarRocks materialized views, covering the evolution of its OLAP architecture, the challenges of previous engines, the adoption of StarRocks, the design of materialized view acceleration for real‑time dashboards, and future optimization directions.

Big DataOLAPStarRocks
0 likes · 17 min read
Practical Experience of StarRocks Materialized Views at Didi
Architect's Guide
Architect's Guide
Jan 27, 2024 · Backend Development

Optimizing Thread Pool Size for CPU‑Bound and I/O‑Bound Tasks in Java

This article explains the differences between CPU‑intensive and I/O‑intensive workloads, provides optimization strategies such as multithreading, caching, and load balancing, and presents Java code examples and formulas for calculating the optimal thread‑pool size based on core count, target CPU utilization, and blocking factors.

CPU BoundI/O BoundJava
0 likes · 12 min read
Optimizing Thread Pool Size for CPU‑Bound and I/O‑Bound Tasks in Java
JD Tech
JD Tech
Jan 26, 2024 · Backend Development

Optimizing Java Applications with Spring Boot 2.7 and JDK 17: Features, Migration Steps, and Deployment Practices

This article explains how combining Spring Boot 2.7 with JDK 17 can improve Java application performance, outlines the new language and runtime features, details migration challenges, provides configuration and code examples, and shares practical deployment guidance for cloud‑native environments.

JDK 17Spring Bootbackend development
0 likes · 23 min read
Optimizing Java Applications with Spring Boot 2.7 and JDK 17: Features, Migration Steps, and Deployment Practices
Volcano Engine Developer Services
Volcano Engine Developer Services
Jan 24, 2024 · Cloud Native

How ByteDance’s Gödel Scheduler Unifies Online and Offline Workloads at Massive Scale

The article details ByteDance’s Gödel Scheduler, a cloud‑native, distributed Kubernetes scheduler that unifies online and offline workloads, describing its architecture, enhanced features, performance gains, roadmap, and open‑source plans, including its multi‑instance design, optimistic concurrency, and rescheduling capabilities for improved throughput and scheduling quality.

Kubernetesperformance optimizationscheduler
0 likes · 15 min read
How ByteDance’s Gödel Scheduler Unifies Online and Offline Workloads at Massive Scale
Caiyun Tech Team
Caiyun Tech Team
Jan 24, 2024 · Backend Development

How We Built a High‑Performance Elevation API with 30 m Resolution

This article details the end‑to‑end process of replacing low‑resolution SRTM data with 30‑meter ASTER elevation data, redesigning storage and access using JuiceFS, Go, and sync.Pool, and achieving sub‑millisecond latency for 1500 QPS in a Kubernetes environment.

GeoTIFFGoJuiceFS
0 likes · 9 min read
How We Built a High‑Performance Elevation API with 30 m Resolution
Architect
Architect
Jan 23, 2024 · Backend Development

How I Cut a Java Service’s Response Time from Seconds to Milliseconds with Arthas

The article details how a high‑traffic Helios scoring service, originally taking several seconds to return a day’s worth of data, was profiled with Arthas and iteratively optimized through four code revisions, ultimately reducing latency to around 60 ms while exposing key performance pitfalls such as object creation, date formatting, and trivial list operations.

ArthasJavabackend
0 likes · 35 min read
How I Cut a Java Service’s Response Time from Seconds to Milliseconds with Arthas
Architect
Architect
Jan 18, 2024 · Backend Development

How Vivo Supercharged Dubbo Routing with Async Caching and Load‑Balancing Optimizations

This article analyzes the CPU‑heavy routing and load‑balancing modules of Dubbo in a large‑scale microservice cluster, identifies O(n) traversal as the root cause, and presents a step‑by‑step redesign—including disabling unused routers, caching route results with epoch validation, BitMap‑based intersection, and grouped routing—that reduces CPU usage by up to 27% and doubles TPS when provider instances exceed 2,000.

DubboJavaRouting
0 likes · 21 min read
How Vivo Supercharged Dubbo Routing with Async Caching and Load‑Balancing Optimizations
Meituan Technology Team
Meituan Technology Team
Jan 18, 2024 · Information Security

Meituan Java RASP: Architecture, Challenges, and Performance Optimizations

The article details Meituan's large‑scale RASP (Runtime Application Self‑Protection) rollout, covering deployment challenges such as heterogeneous Java environments, performance impact of agent injection, upgrade difficulties, monitoring complexities, and the engineering solutions—including agentmain/premain hybrid loading, gray‑scale upgrades, hot‑update plugin architecture, and performance optimizations—validated with concrete metrics and benchmarks.

Gray DeploymentInstrumentationJava Agent
0 likes · 31 min read
Meituan Java RASP: Architecture, Challenges, and Performance Optimizations
DaTaobao Tech
DaTaobao Tech
Jan 17, 2024 · Backend Development

Scaling and Performance Optimization of Taobao Shopping Cart

Taobao’s shopping cart was scaled and optimized by raising the item limit to 380, deploying the cloud‑native in‑memory read‑only replica tairSQL for read‑write separation, pre‑computing promotions, compressing payloads, caching data, redesigning the protocol, introducing response‑streaming APIs, and parallelizing per‑item processing with Java’s ForkJoinPool, dramatically cutting latency during traffic spikes.

DatabaseShopping Cartcloud-native
0 likes · 15 min read
Scaling and Performance Optimization of Taobao Shopping Cart
Tencent Cloud Developer
Tencent Cloud Developer
Jan 17, 2024 · Mobile Development

Upgrading Tencent Video Search from Hippy 2.0 to Hippy 3.0: Process, Optimizations, and New Features

The Tencent Video Search team migrated its search pages from Hippy 2.0 to Hippy 3.0, eliminating animation, image and style inconsistencies, adding a native horizontal‑scroll component, and applying engine pre‑loading, JSI calls and CSS optimizations that cut rendering time by up to 30 % and dramatically improved development efficiency and cross‑platform consistency.

Hippycross-platformfrontend framework
0 likes · 17 min read
Upgrading Tencent Video Search from Hippy 2.0 to Hippy 3.0: Process, Optimizations, and New Features
DataFunTalk
DataFunTalk
Jan 14, 2024 · Big Data

Optimizing Object Storage and Impala Engine in NetEase NDH: Performance Enhancements and Feature Additions

This presentation outlines NetEase's NDH big‑data platform, detailing its background, object‑storage upload and rename optimizations, Impala engine adaptations—including file‑handle caching, transparent URI handling, and getFileBlockLocations improvements—and a suite of operational enhancements such as dynamic proxy user configuration and audit‑log extensions.

AlluxioBig DataImpala
0 likes · 14 min read
Optimizing Object Storage and Impala Engine in NetEase NDH: Performance Enhancements and Feature Additions
Architect
Architect
Jan 10, 2024 · Backend Development

Design and Performance Optimization of a Custom API Gateway (DAG)

This article presents a comprehensive analysis of the limitations of Spring Cloud Gateway, proposes a self‑developed API gateway architecture called DAG, details its core components such as request context, filter chain, async client, routing, and connection management, and demonstrates through extensive performance testing that DAG achieves significantly higher throughput, lower latency, and improved stability compared to the original SCG solution.

API GatewayNettyReactive Programming
0 likes · 39 min read
Design and Performance Optimization of a Custom API Gateway (DAG)
政采云技术
政采云技术
Jan 10, 2024 · Operations

Understanding and Improving Elasticsearch Shard Balancing Strategies

This article analyzes Elasticsearch shard imbalance incidents, explains the built‑in shard balancing algorithm and its configuration parameters, demonstrates weight calculations with source code, and proposes practical improvements—including shard count adjustments and a custom load‑aware balancing tool—to achieve more effective cluster load distribution.

Cluster OperationsElasticsearchload balancing
0 likes · 17 min read
Understanding and Improving Elasticsearch Shard Balancing Strategies
DaTaobao Tech
DaTaobao Tech
Jan 5, 2024 · Mobile Development

Edge Deployment and Performance Optimization of Large Language Models with MNN

The upgraded mnn‑llm framework adds a unified llm‑export pipeline, cross‑platform inference with tokenizers and disk‑embedding, and ARM‑focused linear‑layer optimizations—including SIMD, hand‑written assembly and 4‑bit quantization—that dramatically speed up prefilling and achieve real‑time LLM conversation on mobile devices within a 2 GB memory budget, outperforming llama.cpp, fastllm and mlc‑llm.

ARM CPUEdge DeploymentLLM
0 likes · 17 min read
Edge Deployment and Performance Optimization of Large Language Models with MNN
DataFunTalk
DataFunTalk
Dec 31, 2023 · Big Data

Apache Celeborn (Incubating): Addressing Traditional Shuffle Limitations in Big Data Processing

Apache Celeborn (Incubating) is a remote shuffle service designed to overcome the inefficiencies, high storage demands, network overhead, and limited fault tolerance of traditional Spark shuffle implementations by introducing push‑shuffle, partition splitting, columnar shuffle, multi‑layer storage, and elastic, stable, and scalable architectures.

Apache SparkBig DataRemote Shuffle
0 likes · 15 min read
Apache Celeborn (Incubating): Addressing Traditional Shuffle Limitations in Big Data Processing
DataFunSummit
DataFunSummit
Dec 29, 2023 · Big Data

Exploring Indicator Platform Construction: Architecture, Methods, and Future Directions by Shusheng Technology

This article presents a comprehensive exploration of Shusheng Technology's indicator platform, covering industry challenges, three solution modes (Agile BI, Data Warehouse, Headless BI), the SwiftMetrics architecture, product capabilities, a retail case study, and future development plans for real‑time metrics and AI‑driven services.

BIData MetricsSwiftMetrics
0 likes · 15 min read
Exploring Indicator Platform Construction: Architecture, Methods, and Future Directions by Shusheng Technology
dbaplus Community
dbaplus Community
Dec 27, 2023 · Backend Development

Boost Elasticsearch Performance: 24 Proven Tips and Pitfalls to Avoid

This article compiles practical Elasticsearch recommendations—covering query caching, aggregation design, pagination strategies, scripting, mapping choices, shard and replica settings, and bulk indexing—to help engineers write faster, more reliable search queries while avoiding common performance traps.

Query Tuningindex designperformance optimization
0 likes · 26 min read
Boost Elasticsearch Performance: 24 Proven Tips and Pitfalls to Avoid
Zhuanzhuan Tech
Zhuanzhuan Tech
Dec 27, 2023 · Big Data

Implementing Self-Service OLAP Analytics with Quick BI and StarRocks: Architecture, Optimizations, and Lessons Learned

This article presents a comprehensive case study of building a self‑service OLAP analytics platform at ZhaiZhai using Quick BI and StarRocks, covering background motivations, technical architecture, implementation details, performance‑optimizing case studies, and the resulting business impact.

OLAPQuick BISelf‑service analytics
0 likes · 16 min read
Implementing Self-Service OLAP Analytics with Quick BI and StarRocks: Architecture, Optimizations, and Lessons Learned
Baobao Algorithm Notes
Baobao Algorithm Notes
Dec 24, 2023 · Artificial Intelligence

Must‑Read AI Agent and LLM Research Papers for Deep Understanding

This curated reading list compiles essential papers on AI agents, task planning, hallucination mitigation, multimodal models, image/video generation, foundational LLM research, open‑source large models, fine‑tuning techniques, and performance optimization, providing a comprehensive roadmap for anyone aiming to master modern generative AI.

AI agentsmultimodal learningperformance optimization
0 likes · 23 min read
Must‑Read AI Agent and LLM Research Papers for Deep Understanding
Weimob Technology Center
Weimob Technology Center
Dec 22, 2023 · Big Data

Unlocking Elasticsearch at Scale: Real‑World Practices from Weimob

The Weimob Technology Salon session on "Elasticsearch in Weimob's Practice" shares practical usage recommendations, monitoring setups with Prometheus and Grafana, field‑type guidance, and solutions to common operational challenges, offering developers actionable insights for high‑performance search deployments.

Big DataElasticsearchMonitoring
0 likes · 5 min read
Unlocking Elasticsearch at Scale: Real‑World Practices from Weimob
Huolala Tech
Huolala Tech
Dec 21, 2023 · Operations

How to Accurately Evaluate and Guarantee System Capacity for High‑Traffic Services

This article explains why capacity assessment and guarantee are essential for high‑traffic services, outlines the core factors influencing system capacity such as thread count, response time, CPU, memory and database resources, presents calculation formulas, describes load‑testing methods, shares practical benchmark results for Tomcat and Undertow, and offers actionable recommendations for improving throughput and stability.

backend servicesload testingperformance optimization
0 likes · 16 min read
How to Accurately Evaluate and Guarantee System Capacity for High‑Traffic Services
Ximalaya Technology Team
Ximalaya Technology Team
Dec 19, 2023 · Cloud Computing

Text-Based Audio Editing in Cloud Editing: Architecture, Features, and Performance Optimizations

The article discusses cloud-based audio editing tool architecture, focusing on text‑based editing enabled by ASR, hierarchical DOM (Word, Sentence, Paragraph), performance challenges with massive character nodes, and optimizations like viewport‑based rendering and efficient drag‑select, achieving large speed gains for long recordings.

ASRText Editingaudio editing
0 likes · 14 min read
Text-Based Audio Editing in Cloud Editing: Architecture, Features, and Performance Optimizations
DataFunTalk
DataFunTalk
Dec 15, 2023 · Big Data

Zhihu Bridge Platform: Internal Marketing Architecture, Challenges, and Optimizations

This article presents a comprehensive overview of Zhihu's Bridge Platform internal marketing module, detailing its background, business logic, product components such as CDP, activity and delivery platforms, architectural layers, performance bottlenecks, optimization techniques—including distributed transactions, bitmap indexing, and vectorized query execution—and future directions toward marketing automation and intelligence.

CDPDorisdistributed systems
0 likes · 28 min read
Zhihu Bridge Platform: Internal Marketing Architecture, Challenges, and Optimizations
Liangxu Linux
Liangxu Linux
Dec 14, 2023 · Fundamentals

Understanding CPU Cache: Types, Structure, and Performance Optimization

This article explains why CPU caches are needed, describes the hierarchy and internal structure of cache lines, compares direct‑mapped, set‑associative and fully‑associative caches, and shows how cache‑aware coding can dramatically improve program execution speed.

C++CPU cacheMemory Access
0 likes · 12 min read
Understanding CPU Cache: Types, Structure, and Performance Optimization
Architect
Architect
Dec 13, 2023 · Industry Insights

How Bilibili Engineered a 1.2 B‑Viewer Live Stream for the LoL World Championship

This article details Bilibili's end‑to‑end technical planning, traffic‑estimation models, and concrete optimizations—including hotspot caching, traffic dispersion, long‑connection isolation, and automated fault‑injection—that enabled the S13 League of Legends finals to serve over 1.2 billion viewers with stable, low‑latency streaming.

ObservabilityTraffic Engineeringcapacity planning
0 likes · 22 min read
How Bilibili Engineered a 1.2 B‑Viewer Live Stream for the LoL World Championship
Test Development Learning Exchange
Test Development Learning Exchange
Dec 12, 2023 · Fundamentals

Advanced Python Debugging and Performance Optimization Techniques

This article presents several advanced Python debugging and performance optimization techniques—including using assert statements, interactive pdb debugging, cProfile profiling, generator expressions, dictionary/set lookups, appropriate data structures, and functools.lru_cache caching—to help developers write more efficient and reliable code.

DebuggingPythonassertions
0 likes · 5 min read
Advanced Python Debugging and Performance Optimization Techniques
Ximalaya Technology Team
Ximalaya Technology Team
Dec 12, 2023 · Frontend Development

Performance Optimization of Cloud Editing Playback: Preloading and Latency Reduction

By analyzing latency sources and introducing a pre‑loading ‘prepare’ step with new player APIs, the cloud‑editing team reduced audio start‑up delays by roughly 200 ms on average—cutting half‑second waits to under three‑hundred milliseconds and markedly improving streamer workflow.

Latency Reductioncloud editingfrontend
0 likes · 12 min read
Performance Optimization of Cloud Editing Playback: Preloading and Latency Reduction
php Courses
php Courses
Dec 11, 2023 · Backend Development

How to Reduce Server Load Using PHP: Caching, Pagination, and Result Caching

This article explains how to lower server load in PHP applications by employing caching mechanisms such as Memcached or Redis, implementing pagination to limit data per request, and caching computational results, while providing concrete code examples for each technique.

PHPServer Loadperformance optimization
0 likes · 6 min read
How to Reduce Server Load Using PHP: Caching, Pagination, and Result Caching
Architects' Tech Alliance
Architects' Tech Alliance
Dec 9, 2023 · Fundamentals

Impact of IO Patterns on NVMe SSD Performance and Optimization Strategies

The article examines how different I/O patterns, such as sequential writes, request size interference, and read/write conflicts, affect NVMe SSD performance, explains the underlying mechanisms like write amplification and GC behavior, and proposes software-level optimizations—including large‑block writes, Optane caching, and OpenChannel/Object SSD designs—to improve throughput and latency.

IO PatternNVMeSSD
0 likes · 10 min read
Impact of IO Patterns on NVMe SSD Performance and Optimization Strategies
php Courses
php Courses
Dec 7, 2023 · Backend Development

Improving Website Response Speed by Optimizing PHP Functions

This article explains how to boost website response speed by reducing PHP function calls, leveraging built-in functions, caching results, and employing asynchronous processing, providing clear code examples for each optimization technique in PHP.

PHPasynchronous processingperformance optimization
0 likes · 5 min read
Improving Website Response Speed by Optimizing PHP Functions
Volcano Engine Developer Services
Volcano Engine Developer Services
Dec 6, 2023 · Cloud Native

Mastering Kubernetes Cluster Autoscaler: Real‑World Challenges & Solutions

This article explores how Volcano Engine's VKE leverages Kubernetes Cluster Autoscaler to achieve elastic scaling, detailing the component's core functions, a customer’s high‑throughput workload, four major scaling problems encountered, and practical recommendations to improve performance, reliability, and cost efficiency.

Cluster AutoscalerKubernetesperformance optimization
0 likes · 18 min read
Mastering Kubernetes Cluster Autoscaler: Real‑World Challenges & Solutions
dbaplus Community
dbaplus Community
Dec 3, 2023 · Databases

How Qunar Revamped Its Database Backup System for 27× Speed Gains

The article details Qunar’s senior DBA Qian Fangyuan’s redesign of the company’s database backup and recovery platform, explaining the shortcomings of the legacy system, the new architecture, high‑performance backup techniques using Xtrabackup, dynamic throttling, storage abstraction, and the resulting dramatic improvements in backup and restore speeds and reliability.

Dynamic ThrottlingStorage Interfacedatabase backup
0 likes · 35 min read
How Qunar Revamped Its Database Backup System for 27× Speed Gains
Selected Java Interview Questions
Selected Java Interview Questions
Nov 30, 2023 · Databases

Designing a High‑Performance System to Import 1 Billion Records into MySQL

To import one billion 1 KB log records stored in HDFS or S3 into MySQL as quickly as possible, the article analyzes constraints, evaluates single‑table limits, proposes sharding, batch inserts, storage‑engine choices, file‑reading strategies, task coordination, reliability mechanisms, and concurrency control.

data importperformance optimizationsharding
0 likes · 19 min read
Designing a High‑Performance System to Import 1 Billion Records into MySQL
Architect
Architect
Nov 28, 2023 · Databases

How to Import 1 Billion Records into MySQL Efficiently: Architecture & Performance Guide

This article walks through the full engineering process of importing a billion 1 KB log records into MySQL, covering data size calculations, B‑tree index limits, batch‑insert strategies, storage‑engine trade‑offs, fast file‑reading techniques, task coordination with Redis and Redisson, and distributed‑lock design using Zookeeper.

Batch InsertDistributed TasksMySQL
0 likes · 20 min read
How to Import 1 Billion Records into MySQL Efficiently: Architecture & Performance Guide
JD Retail Technology
JD Retail Technology
Nov 28, 2023 · Frontend Development

Performance Optimization Best Practices for Taro Mini‑Program Development

This article presents a comprehensive set of performance optimization techniques for Taro mini‑program development, covering initial render improvements, update efficiency, long‑list handling with VirtualList and VirtualWaterfall, setData data reduction, scroll‑penetration prevention, preloading strategies, and an upcoming CompileMode feature.

CompileModeTaROVirtualList
0 likes · 13 min read
Performance Optimization Best Practices for Taro Mini‑Program Development
iQIYI Technical Product Team
iQIYI Technical Product Team
Nov 24, 2023 · Frontend Development

Performance and Experience Optimization of H5 Special Topic Pages in Mobile App WebView

By implementing offline caching of libraries, template pre‑rendering, native player embedding, split‑screen loading, API slimming, WebP image delivery, and UI tweaks such as title‑bar customization, hide‑nav flags, pull‑to‑refresh, early background color and placeholder optimization, the H5 special‑topic pages in the mobile app WebView achieve up to 60 % faster first‑screen loads, dramatically lower network usage, and a smoother, more immersive user experience.

H5frontendmobile
0 likes · 10 min read
Performance and Experience Optimization of H5 Special Topic Pages in Mobile App WebView
MaGe Linux Operations
MaGe Linux Operations
Nov 21, 2023 · Databases

Boost MySQL Performance: 10 Proven Optimization Techniques

This guide presents ten practical MySQL performance optimization methods—including index creation, query rewriting, limiting result sets, avoiding SELECT *, reducing joins, using proper data types, caching with Redis, and server configuration tweaks—each illustrated with concrete SQL code examples to help you speed up your database operations.

MySQLSQLdatabase tuning
0 likes · 11 min read
Boost MySQL Performance: 10 Proven Optimization Techniques
IT Architects Alliance
IT Architects Alliance
Nov 17, 2023 · Databases

How to Implement Conditional Queries and Pagination in Redis

This article explains how to achieve conditional fuzzy queries and pagination in Redis by leveraging Sorted Sets and Hashes, detailing command usage, data modeling, combination strategies, and performance optimizations such as expiration and real‑time updates.

Fuzzy QueryHashPagination
0 likes · 8 min read
How to Implement Conditional Queries and Pagination in Redis
政采云技术
政采云技术
Nov 16, 2023 · Fundamentals

Comprehensive Guide to Software Architecture Design and Practices

This article provides an extensive overview of software architecture, covering its definition, history, core concepts, design principles, complexity sources, design process, performance, high availability, scalability, and practical implementation techniques for large‑scale web systems.

Design PrinciplesSoftware Architecturehigh availability
0 likes · 24 min read
Comprehensive Guide to Software Architecture Design and Practices
dbaplus Community
dbaplus Community
Nov 14, 2023 · Databases

How Didi Cut ClickHouse CPU Usage by 90%: Optimizing BgMoveProcPool Threads

This article details how Didi identified excessive CPU consumption by ClickHouse's BgMoveProcPool threads, traced the root cause to unnecessary part‑move checks, introduced a simple early‑exit guard in selectPartsForMove, and achieved a dramatic reduction in CPU load while contributing the fix upstream.

Background ThreadsCPUClickHouse
0 likes · 10 min read
How Didi Cut ClickHouse CPU Usage by 90%: Optimizing BgMoveProcPool Threads
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Nov 14, 2023 · Mobile Development

Suppressing GC Execution in Android ART: Understanding HeapTaskDaemon and Hook Techniques

This article explains how the HeapTaskDaemon thread drives garbage collection in Android's ART runtime, analyzes its source code and related HeapTask classes, and presents two practical methods—adding custom HeapTasks or pausing existing ones—using ELF symbol lookup, ndk_dlopen, and virtual‑function hooking to temporarily suppress GC for better performance.

AndroidELFGC
0 likes · 26 min read
Suppressing GC Execution in Android ART: Understanding HeapTaskDaemon and Hook Techniques
Efficient Ops
Efficient Ops
Nov 12, 2023 · Backend Development

How We Revamped QQ Browser’s Content Engine: From Micro‑services Chaos to High‑Performance Monolith

This article details the complete redesign of QQ Browser's content ingestion system, explaining why the original micro‑service architecture caused low efficiency and performance, and how a zero‑base redesign using a monolithic service, plugin framework, fault‑tolerant pipelines, and thread separation dramatically improved throughput, latency, and developer productivity.

C++System Designbackend
0 likes · 21 min read
How We Revamped QQ Browser’s Content Engine: From Micro‑services Chaos to High‑Performance Monolith
Qunar Tech Salon
Qunar Tech Salon
Nov 7, 2023 · Big Data

Building and Optimizing a Distributed Tracing System for Qunar Travel: APM Architecture, Performance Bottlenecks, and Solutions

This article details Qunar Travel's end‑to‑end design and optimization of a distributed tracing system within its APM platform, covering architecture choices, log‑collection and Kafka transmission bottlenecks, Flink task tuning, and the business value derived from trace and metric analysis.

APMBig DataFlink
0 likes · 22 min read
Building and Optimizing a Distributed Tracing System for Qunar Travel: APM Architecture, Performance Bottlenecks, and Solutions
Architecture Digest
Architecture Digest
Nov 6, 2023 · Backend Development

Using Lua Scripts in Spring Boot with Redis: A Comprehensive Guide

This article explains how to integrate Lua scripts into Spring Boot projects for Redis, covering Lua fundamentals, performance benefits, practical use cases, step‑by‑step implementation with code examples, error handling, security considerations, and best‑practice recommendations for backend developers.

LuaRedisSpring Boot
0 likes · 19 min read
Using Lua Scripts in Spring Boot with Redis: A Comprehensive Guide
Architect
Architect
Nov 3, 2023 · Backend Development

How We Cut Risk Engine Latency from 80 ms to 25 ms with Prefetch, Batching, Async, Compression and Bloom‑Filter Caching

Facing a traffic surge that pushed a risk‑control engine's response time beyond 250 ms, the team applied a series of systematic optimizations—feature prefetching, batch requests, asynchronous accumulator updates, multi‑level caching with Bloom filters, and log‑compression redesign—resulting in latency dropping to 25 ms, CPU and memory usage falling by up to 90%, and storage costs reduced by over a third.

Batch ProcessingBloom filterasynchronous processing
0 likes · 22 min read
How We Cut Risk Engine Latency from 80 ms to 25 ms with Prefetch, Batching, Async, Compression and Bloom‑Filter Caching
Bilibili Tech
Bilibili Tech
Nov 3, 2023 · Big Data

Comprehensive Governance and Optimization Strategies for Large‑Scale Kafka Clusters

To tame a petabyte‑scale Kafka deployment of over 1,000 brokers, the team built a Raft‑based federation controller (Guardian) that adds per‑partition I/O throttling, disk‑aware automatic balancing, multi‑tenant isolation, cross‑IDC migration, request‑queue splitting, tiered storage, auditing, and fully automated rolling upgrades, enabling stable, self‑healing operations.

Big DataCluster GovernanceKafka
0 likes · 21 min read
Comprehensive Governance and Optimization Strategies for Large‑Scale Kafka Clusters
DataFunSummit
DataFunSummit
Nov 2, 2023 · Databases

Understanding TiKV: Features, Architecture, and Large‑Scale Operational Challenges

This article introduces the distributed transactional KV store TiKV, explains its role as TiDB’s storage engine, details its multi‑layered architecture and Raft‑based consistency model, and discusses the performance and resource challenges encountered at massive data scales along with the engineering solutions implemented to address them.

RaftTiKVarchitecture
0 likes · 14 min read
Understanding TiKV: Features, Architecture, and Large‑Scale Operational Challenges
php Courses
php Courses
Nov 2, 2023 · Backend Development

PHP Performance Optimization Techniques and Best Practices

This article explains how to improve PHP application response speed and throughput through code, configuration, and server optimizations, covering caching strategies, precompilation, efficient data structures, loop reduction, high‑performance servers, and profiling tools such as XHProf and Blackfire.

PHPbackendcaching
0 likes · 5 min read
PHP Performance Optimization Techniques and Best Practices
Selected Java Interview Questions
Selected Java Interview Questions
Oct 31, 2023 · Databases

Designing High‑Performance Import of 1 Billion Records into MySQL

To import one billion 1 KB unstructured log entries stored in HDFS or S3 into MySQL efficiently, the article discusses constraints, B+‑tree limits, batch insertion, storage engine choices, sharding, task coordination, concurrency control, progress tracking with Redis, and reliable distributed execution strategies.

data importperformance optimization
0 likes · 19 min read
Designing High‑Performance Import of 1 Billion Records into MySQL
StarRocks
StarRocks
Oct 31, 2023 · Databases

How Ctrip Accelerated Report Queries 10× with StarRocks: A Real‑World Lakehouse Migration

Ctrip migrated its Artnova reporting platform from Hive‑based queries to StarRocks, first loading data into OLAP tables and then using StarRocks as a lakehouse with Hive catalog, Data Cache and materialized views, achieving average query latency reductions from 20 seconds to 1.5 seconds, over 7× speed‑up versus Trino and up to 40× acceleration for complex workloads.

Big DataData CacheLakehouse
0 likes · 15 min read
How Ctrip Accelerated Report Queries 10× with StarRocks: A Real‑World Lakehouse Migration
FunTester
FunTester
Oct 30, 2023 · Backend Development

How to Build a High‑Performance Object Pool for Multithreaded Systems

This article explores the motivation, design, implementation, and performance testing of a high‑performance object pool that reduces allocation overhead in multithreaded environments by using thread‑local storage, freelists, and lock‑optimized global resources.

C++Memory Managementcacheline alignment
0 likes · 25 min read
How to Build a High‑Performance Object Pool for Multithreaded Systems
Java Backend Technology
Java Backend Technology
Oct 27, 2023 · Backend Development

How I Reduced Helios API Latency from Seconds to Milliseconds with Arthas

This article details a step‑by‑step performance tuning of the Helios scoring API, showing how profiling with Arthas revealed costly date formatting and list operations, and how successive code refactors—changing data structures, eliminating redundant object creation, and optimizing loops—cut the response time from several seconds to just a few dozen milliseconds.

ArthasJavabackend development
0 likes · 29 min read
How I Reduced Helios API Latency from Seconds to Milliseconds with Arthas
Sohu Tech Products
Sohu Tech Products
Oct 25, 2023 · Backend Development

Deep Analysis of Netty FastThreadLocal: From Production Issue to Source Code Implementation

The article traces a production bug where unreleased JDK ThreadLocal data corrupted user info, then compares JDK ThreadLocal with Netty’s FastThreadLocal, detailing their source‑code implementations, performance trade‑offs (O(n) vs O(1) access), memory‑leak risks, and recommends explicit remove() calls to avoid leaks.

FastThreadLocalJavaMemory Management
0 likes · 15 min read
Deep Analysis of Netty FastThreadLocal: From Production Issue to Source Code Implementation
JD Cloud Developers
JD Cloud Developers
Oct 24, 2023 · Backend Development

How Switching to Async Log4j2 Can Double Your Application Throughput

This article analyzes a performance bottleneck caused by synchronous Log4j2 logging, demonstrates how converting to asynchronous logging with AsyncLogger or AsyncAppender dramatically reduces response time, increases TPS, and lowers CPU usage, and provides detailed configuration examples and best‑practice guidelines.

asynchronous logginglog4j2logging configuration
0 likes · 17 min read
How Switching to Async Log4j2 Can Double Your Application Throughput
Selected Java Interview Questions
Selected Java Interview Questions
Oct 24, 2023 · Backend Development

Performance Optimization of Helios Scoring Service Using Arthas Tracing

This article documents how the Helios scoring service, which processes hundreds of thousands of data points per day, was progressively optimized from several seconds to tens of milliseconds by analyzing Arthas trace data, refactoring loops, reducing object creation, and improving date handling, ultimately revealing that database access becomes the remaining bottleneck.

ArthasJavabackend development
0 likes · 33 min read
Performance Optimization of Helios Scoring Service Using Arthas Tracing
Code Ape Tech Column
Code Ape Tech Column
Oct 18, 2023 · Databases

Efficient Strategies for Importing One Billion Records into MySQL

This article explains how to import 1 billion 1 KB log records stored in HDFS or S3 into MySQL by analyzing table capacity limits, choosing storage engines, designing batch inserts, coordinating file reading and writing, and handling task reliability with Redis, Redisson, and Zookeeper.

Batch InsertDistributed TasksMySQL
0 likes · 18 min read
Efficient Strategies for Importing One Billion Records into MySQL
php Courses
php Courses
Oct 16, 2023 · Backend Development

Best Practices and Performance Optimization of the Singleton Pattern in PHP

This article explains the Singleton pattern in PHP, detailing best practices such as private constructors and static access methods, and presents performance optimizations including lazy instantiation and proper serialization handling, accompanied by concrete code examples.

Design PatternPHPbackend development
0 likes · 6 min read
Best Practices and Performance Optimization of the Singleton Pattern in PHP
FunTester
FunTester
Oct 16, 2023 · Backend Development

Refactoring a Decade‑Old Query Understanding Module: Identifying Code Smells, Motivations, and Remedies

The article details a three‑month refactor of a ten‑year‑old query‑understanding backend, describing the code smells encountered—duplicate code, long functions, bloated classes, oversized parameter lists, confusing temporaries, ignored warnings, and magic numbers—along with their motivations, preventive measures, and the performance improvements achieved after cleanup.

Code Refactoringbackend developmentcode smells
0 likes · 10 min read
Refactoring a Decade‑Old Query Understanding Module: Identifying Code Smells, Motivations, and Remedies
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Oct 13, 2023 · Game Development

Improving Load‑Testing Coverage for Game Features: Process, Tips, and Best Practices

This article outlines a practical workflow for increasing load‑testing coverage of game features, covering requirement clarification, test‑point identification, script development, execution strategies, and time‑saving techniques to ensure reliable performance under limited resources.

Game Developmentload testingperformance optimization
0 likes · 12 min read
Improving Load‑Testing Coverage for Game Features: Process, Tips, and Best Practices
Baidu Geek Talk
Baidu Geek Talk
Oct 11, 2023 · Artificial Intelligence

How Baidu’s Qianfan 2.0 Supercharges Large‑Model Development and Deployment

The article reviews Baidu Cloud’s Qianfan 2.0 platform, detailing its expanded model catalog, dataset library, Chinese‑language enhancements, compression and speed gains, robust AI infrastructure, application templates, and end‑to‑end data‑labeling pipeline that together lower cost and accelerate large‑model adoption across industries.

AI platformCloud AILarge Language Models
0 likes · 14 min read
How Baidu’s Qianfan 2.0 Supercharges Large‑Model Development and Deployment
NetEase Smart Enterprise Tech+
NetEase Smart Enterprise Tech+
Oct 11, 2023 · Backend Development

Decoupling Audio‑Video Algorithms: AVProcessEngine Reduces RTC SDK Size & Improves Performance

The article explains how NetEase Cloud Communication’s AVProcessEngine framework separates audio‑video algorithms from the NERTC SDK, addressing SDK bloat and performance drops on low‑end devices by using plugin‑based processing, dynamic algorithm adjustment, and unified interfaces.

Real‑time communicationaudio processingperformance optimization
0 likes · 11 min read
Decoupling Audio‑Video Algorithms: AVProcessEngine Reduces RTC SDK Size & Improves Performance
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Oct 10, 2023 · Frontend Development

Deep Dive into LeaferJS: Architecture, Rendering Performance, Update Mechanism, and Event Picking

This article analyses the LeaferJS canvas rendering engine, covering its lightweight node creation, core architecture, rendering pipeline, partial‑render optimization, and event‑picking mechanism, while providing code examples and performance insights for front‑end developers.

Canvas RenderingJavaScriptLeaferJS
0 likes · 14 min read
Deep Dive into LeaferJS: Architecture, Rendering Performance, Update Mechanism, and Event Picking
Top Architect
Top Architect
Oct 9, 2023 · Backend Development

Key Features of Spring Boot: Auto-Configuration, Starters, Embedded Server, Externalized Config, Actuator, DevTools, Testing, Ecosystem, Performance Optimization, and Continuous Learning

This article introduces Spring Boot’s core “magic” features—including auto‑configuration, starter dependencies, embedded servers, externalized configuration, Actuator, DevTools, testing support, ecosystem components, performance tips, and continuous learning—providing a comprehensive guide for building efficient Java backend applications.

JavaSpring BootStarter Dependencies
0 likes · 10 min read
Key Features of Spring Boot: Auto-Configuration, Starters, Embedded Server, Externalized Config, Actuator, DevTools, Testing, Ecosystem, Performance Optimization, and Continuous Learning
php Courses
php Courses
Oct 9, 2023 · Backend Development

PHP Performance Optimization and Caching Techniques

This article explains key PHP performance optimization strategies—including database query tuning, efficient coding practices, and various caching methods such as Redis and file‑based page caching—providing concrete code examples to improve response time and system stability.

File CachePHPRedis
0 likes · 6 min read
PHP Performance Optimization and Caching Techniques
MaGe Linux Operations
MaGe Linux Operations
Oct 8, 2023 · Big Data

Understanding Kafka: Core Concepts, Architecture, and Performance Secrets

This article explains Kafka’s fundamental role as a message system, detailing topics, partitions, producers, consumers, replica management, consumer groups, the controller, Zookeeper coordination, and performance optimizations such as sequential writes, zero‑copy, log segmentation, and network design, providing a comprehensive overview for big‑data practitioners.

Big DataConsumer GroupKafka
0 likes · 11 min read
Understanding Kafka: Core Concepts, Architecture, and Performance Secrets
Practical DevOps Architecture
Practical DevOps Architecture
Oct 8, 2023 · Backend Development

Comprehensive RocketMQ Course: Source Code Deep Dive, Advanced Features, Performance Tuning, and Real‑World Projects

This course provides an in‑depth study of RocketMQ, covering its fundamentals, source‑code analysis, advanced features such as transactional and ordered messages, performance optimization, operational monitoring, and hands‑on projects that guide learners through installation, configuration, clustering, and integration with Spring Boot.

Message QueuePractical projectsRocketMQ
0 likes · 4 min read
Comprehensive RocketMQ Course: Source Code Deep Dive, Advanced Features, Performance Tuning, and Real‑World Projects
Java Captain
Java Captain
Oct 7, 2023 · Fundamentals

Understanding the Java Virtual Machine: Architecture, Operation, and Optimization Strategies

This article provides a comprehensive overview of the Java Virtual Machine, detailing its core components such as the interpreter, class loader, and runtime, explaining its execution workflow from source code to bytecode and native code, and presenting practical optimization techniques for memory, garbage collection, and performance.

Garbage CollectionJVMJava
0 likes · 6 min read
Understanding the Java Virtual Machine: Architecture, Operation, and Optimization Strategies
ITPUB
ITPUB
Oct 4, 2023 · Backend Development

How to Speed Up Slow Elasticsearch Aggregations with execution_hint "map"

In a high‑traffic e‑commerce system, sharding makes cross‑shop queries inefficient, and adding terms aggregations in Elasticsearch caused queries to take dozens of seconds, but using the "execution_hint":"map" option dramatically reduces aggregation latency.

AggregationBig DataElasticsearch
0 likes · 7 min read
How to Speed Up Slow Elasticsearch Aggregations with execution_hint "map"
Su San Talks Tech
Su San Talks Tech
Oct 1, 2023 · Backend Development

How to Efficiently Insert 300,000 Records with MyBatis and JDBC

This article demonstrates multiple approaches—including direct MyBatis batch, per‑row insertion, and JDBC batch processing—to insert 300,000 user records into a MySQL table, compares their performance, and provides practical optimization tips such as batch size tuning, waiting intervals, index handling, and connection‑pool configuration.

Batch InsertJDBCJava
0 likes · 12 min read
How to Efficiently Insert 300,000 Records with MyBatis and JDBC
ITPUB
ITPUB
Sep 29, 2023 · Big Data

How Vivo Scaled Hive Metastore Using TiDB: A Deep Dive into Big Data Metadata

This article recounts Vivo’s journey to horizontally scale its Hive Metastore service by evaluating MySQL sharding, the open‑source Waggle‑Dance gateway, and ultimately selecting TiDB, detailing the migration process, configuration tweaks, performance benchmarks, encountered issues such as primary‑key conflicts, index choices, memory spikes, and the solutions implemented to ensure stable, high‑performance metadata storage for massive data volumes.

Big DataDatabase MigrationHive Metastore
0 likes · 22 min read
How Vivo Scaled Hive Metastore Using TiDB: A Deep Dive into Big Data Metadata
Java Backend Technology
Java Backend Technology
Sep 27, 2023 · Backend Development

How I Reduced a 4‑Second Java API Call to 60ms with Arthas Tracing

This article details how the Helios scoring API, originally taking several seconds, was optimized to under 60 ms by analyzing Arthas traces, refactoring date handling, minimizing object creation, and improving list operations, ultimately revealing database access as the remaining bottleneck.

ArthasJavaTracing
0 likes · 31 min read
How I Reduced a 4‑Second Java API Call to 60ms with Arthas Tracing
Baidu Geek Talk
Baidu Geek Talk
Sep 25, 2023 · Frontend Development

How Baidu’s New Mini‑Program Compiler Boosted Build Speed by Up to 7×

Baidu’s mini‑program compiler was completely rebuilt with a self‑designed architecture, multi‑threading, full‑process caching and sourcemap optimizations, delivering 2‑7× faster builds, lower memory usage and smaller output while keeping compatibility with the old system.

Build ToolsMini Programcompiler
0 likes · 19 min read
How Baidu’s New Mini‑Program Compiler Boosted Build Speed by Up to 7×
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 21, 2023 · Artificial Intelligence

How Vector Search Powers AI: From Embeddings to Real‑World Applications

This article explains how vector search converts unstructured data such as speech, images, video, and text into high‑dimensional embeddings, explores common algorithms like Brute‑Force, ANN, and HNSW, and presents optimization techniques that dramatically improve recall and query‑per‑second performance for large‑scale AI retrieval systems.

AIANNHNSW
0 likes · 27 min read
How Vector Search Powers AI: From Embeddings to Real‑World Applications