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performance optimization

2019 articles · Page 15 of 21
Tencent Database Technology
Tencent Database Technology
Mar 8, 2021 · Databases

Introduction to the InnoDB Lock Module and Its Performance Optimizations

This article provides a comprehensive overview of MySQL InnoDB's lock subsystem, describing its data structures, lock compatibility matrices, lock/unlock workflows, lock splitting, inheritance and migration, and presents several optimization techniques such as avoiding lock_sys mutex, asynchronous deadlock detection, and lock_sys mutex sharding to alleviate contention in MySQL 5.7 and later versions.

InnoDBLock ManagerMySQL
0 likes · 13 min read
Introduction to the InnoDB Lock Module and Its Performance Optimizations
Efficient Ops
Efficient Ops
Mar 7, 2021 · Backend Development

Boost Nginx Performance: Custom 404 Pages, Status Monitoring, and Concurrency Tuning

This guide walks through customizing Nginx 404 error pages, enabling and reading the stub_status module, increasing worker processes and connections, adjusting kernel limits, expanding header buffers, and configuring browser caching for static assets to dramatically improve server performance and reliability.

CacheServer Monitoringconcurrency
0 likes · 10 min read
Boost Nginx Performance: Custom 404 Pages, Status Monitoring, and Concurrency Tuning
Python Crawling & Data Mining
Python Crawling & Data Mining
Mar 7, 2021 · Fundamentals

Unlocking System Performance: How Amdahl’s Law and Parallelism Shape Modern Computing

This article explains how computer systems combine hardware and system software, describes the memory hierarchy, OS abstractions, Amdahl's law, and the three levels of parallelism—thread‑level, instruction‑level, and SIMD—showing why understanding these concepts is essential for writing fast, reliable programs.

Amdahl's lawParallelismcomputer architecture
0 likes · 16 min read
Unlocking System Performance: How Amdahl’s Law and Parallelism Shape Modern Computing
Alibaba Cloud Native
Alibaba Cloud Native
Mar 5, 2021 · Artificial Intelligence

How Alluxio Supercharges Cloud Deep Learning: Benchmarks, Architecture, and Tuning

This article examines why accelerating cloud‑based deep learning is essential, presents benchmark results comparing GPU generations and distributed training, introduces Alluxio as a distributed memory‑level cache, details its architecture on Kubernetes, and offers concrete tuning strategies to overcome I/O bottlenecks and boost training performance.

AIAlluxioDeep Learning
0 likes · 16 min read
How Alluxio Supercharges Cloud Deep Learning: Benchmarks, Architecture, and Tuning
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Mar 4, 2021 · Backend Development

How We Built a High‑Availability Distributed ID Service with Leaf

This article details the motivation, design choices, architecture, performance optimizations, and operational lessons learned while implementing a distributed ID generation system using Leaf's segment mode to achieve global uniqueness, high availability, and low latency for large‑scale e‑commerce services.

JavaLeafbackend architecture
0 likes · 13 min read
How We Built a High‑Availability Distributed ID Service with Leaf
Architect
Architect
Mar 2, 2021 · Databases

SQL Query Optimization for Large-Scale MES Reporting Using Stored Procedures

An in-depth case study describes how to dramatically improve the performance of a massive MES reporting query—reducing execution from over half an hour to seconds—by analyzing inefficient SQL, adding proper indexes, avoiding full table scans, redesigning with stored procedures, temporary tables, and selective use of NOLOCK.

DatabaseIndexingMES
0 likes · 22 min read
SQL Query Optimization for Large-Scale MES Reporting Using Stored Procedures
Alibaba Terminal Technology
Alibaba Terminal Technology
Mar 2, 2021 · Frontend Development

How Ant’s ‘Five Blessings’ 3D Spring Promotion Was Built with Oasis Engine

This article details the technical implementation of Ant Group’s annual Five Blessings Spring promotion, covering the business breakdown, 3D scene construction using the Oasis engine, sliding control logic, visual effects, and extensive performance optimizations for memory, texture, buffers, and loading on mobile web.

3D renderingJavaScriptOasis Engine
0 likes · 16 min read
How Ant’s ‘Five Blessings’ 3D Spring Promotion Was Built with Oasis Engine
Baidu Geek Talk
Baidu Geek Talk
Mar 1, 2021 · Frontend Development

Frontend Architecture Design: Evolution and Solutions

The article examines the evolution and challenges of frontend architecture through Baidu’s mobile search case, identifies problems such as vague responsibilities, tight coupling, and legacy stacks, and proposes a three‑tier solution—infra, independent modules, and componentization—implemented via server‑client designs, a Molecule interface, DI container, SSR optimization, and cross‑platform strategies to enable flexible upgrades and business agility.

ComponentizationFrontend ArchitectureModule Design
0 likes · 12 min read
Frontend Architecture Design: Evolution and Solutions
Code Ape Tech Column
Code Ape Tech Column
Mar 1, 2021 · Backend Development

Optimizing Large‑Scale Excel Import in Java: From POI to EasyExcel with Caching, Batch Inserts, and Parallel Streams

This article describes how to dramatically speed up the import of massive Excel files in a Java backend by replacing raw POI with EasyExcel, caching database lookups, using MySQL batch inserts, and employing parallel streams to achieve sub‑minute processing for hundreds of thousands of rows.

Batch InsertEasyExcelExcel import
0 likes · 12 min read
Optimizing Large‑Scale Excel Import in Java: From POI to EasyExcel with Caching, Batch Inserts, and Parallel Streams
DataFunTalk
DataFunTalk
Feb 28, 2021 · Big Data

Migrating Youzan Offline Spark Platform to Kubernetes: Architecture, Optimizations, and Lessons Learned

This article details how Youzan's offline Spark computing platform was transformed for the cloud‑native era by migrating from YARN to Kubernetes, introducing containerization, storage‑compute separation, dynamic allocation, deployment optimizations, and a collection of practical lessons to reduce cost and improve resource utilization.

Big DataKubernetesSpark
0 likes · 27 min read
Migrating Youzan Offline Spark Platform to Kubernetes: Architecture, Optimizations, and Lessons Learned
Youzan Coder
Youzan Coder
Feb 26, 2021 · Big Data

Migrating Spark Offline Computing to Kubernetes: Architecture, Optimizations, and Lessons Learned

Youzan migrated its large‑scale offline Spark workloads from YARN to a cloud‑native Kubernetes architecture, separating storage and compute with Ceph FS, adding dynamic executor allocation and remote shuffle services, and applying numerous Spark and deployment tweaks that yielded elastic scaling, higher resource utilization, reduced costs, and valuable operational lessons.

DevOpsKubernetesSpark
0 likes · 24 min read
Migrating Spark Offline Computing to Kubernetes: Architecture, Optimizations, and Lessons Learned
Tencent Cloud Developer
Tencent Cloud Developer
Feb 22, 2021 · Databases

Deep Dive into Redis Multi-Threaded Network Model: From Single-Threaded Reactor to I/O Threading

The article traces Redis’s shift from its original single‑threaded reactor model to the I/O‑threaded architecture introduced in version 6, explaining how atomic operations and round‑robin client distribution let separate threads handle network I/O and parsing while the main thread executes commands, yielding roughly a two‑fold throughput boost but retaining a single‑threaded command core and incurring brief CPU spikes from busy‑wait synchronization.

I/O multiplexingNetwork ModelReactor pattern
0 likes · 34 min read
Deep Dive into Redis Multi-Threaded Network Model: From Single-Threaded Reactor to I/O Threading
DataFunTalk
DataFunTalk
Feb 16, 2021 · Big Data

Understanding Presto: Architecture, Query Execution, and Youzan’s Practical Experience

This article explains Presto’s core architecture and low‑latency query execution process, describes how Youzan adopts Presto for various data‑platform scenarios, discusses the evolution of its deployment, and outlines the performance challenges and future enhancements such as Alluxio integration and session property management.

Big DataSQLYouzan
0 likes · 13 min read
Understanding Presto: Architecture, Query Execution, and Youzan’s Practical Experience
DataFunTalk
DataFunTalk
Feb 13, 2021 · Databases

Improving HBase Availability and Reducing Latency Spikes with Replication‑Based Multi‑Path Reads and ZGC

This article describes how the Didi HBase team tackled HBase’s weak availability and GC‑induced latency spikes by introducing a replication‑based client multi‑path read mechanism, configuring hedged reads, and adopting the Z Garbage Collector, and presents the resulting performance improvements and remaining challenges.

Big DataHBaseMulti-Path Read
0 likes · 11 min read
Improving HBase Availability and Reducing Latency Spikes with Replication‑Based Multi‑Path Reads and ZGC
Top Architect
Top Architect
Feb 11, 2021 · Databases

Case Study: Scaling Zhihu’s Moneta Application with TiDB

This article details how Zhihu’s Moneta service, handling over a trillion rows of user‑read data, migrated from MySQL sharding and MHA to the open‑source NewSQL database TiDB, achieving millisecond‑level query latency, high write throughput, and improved scalability through a layered architecture and TiDB’s advanced features.

HTAPMonetaNewSQL
0 likes · 13 min read
Case Study: Scaling Zhihu’s Moneta Application with TiDB
Tencent Music Tech Team
Tencent Music Tech Team
Feb 9, 2021 · Mobile Development

Comprehensive Memory Monitoring and Optimization Strategy for the K歌 Android Application

To eliminate the K歌 Android app’s frequent OOM crashes, a four‑stage framework was implemented—development self‑checks, automated testing baselines, gray‑release real‑time monitoring, and production continuous sampling—collecting virtual memory, Java heap, file‑descriptor, thread, and native‑heap metrics, feeding a backend platform that visualizes leaks, guides fixes, and has already resolved over 120 leaks, cutting crashes by more than 25 %.

AndroidNative MemoryTooling
0 likes · 23 min read
Comprehensive Memory Monitoring and Optimization Strategy for the K歌 Android Application
Code Ape Tech Column
Code Ape Tech Column
Feb 9, 2021 · Backend Development

Optimizing Java File Compression: From Buffered Streams to NIO Channels and Memory‑Mapped Files

This article demonstrates how to improve Java file compression performance by replacing unbuffered FileInputStream with BufferedInputStream, then leveraging NIO Channels, transferTo, memory‑mapped files, and Pipe, showing step‑by‑step code examples and timing results that reduce processing time from 30 seconds to about 1 second.

JavaMemory Mapped FilesNIO
0 likes · 11 min read
Optimizing Java File Compression: From Buffered Streams to NIO Channels and Memory‑Mapped Files
Open Source Linux
Open Source Linux
Feb 7, 2021 · Big Data

Mastering Kafka: Core Concepts, Architecture, and High‑Performance Deployment

This comprehensive guide explains Kafka's role as a message system, detailing topics, partitions, producers, consumers, replication, controller, ZooKeeper coordination, performance optimizations like sequential writes and zero‑copy, and practical recommendations for hardware, configuration, and cluster deployment.

Big DataCluster DeploymentKafka
0 likes · 22 min read
Mastering Kafka: Core Concepts, Architecture, and High‑Performance Deployment
Youzan Coder
Youzan Coder
Feb 5, 2021 · Mobile Development

Savitar 2.0: Incremental Android Compilation Solution – Design, Features, and Performance

Savitar 2.0 is an incremental Android compilation system that combines a GUI plugin, a dynamically updatable Runner, a Gradle project‑support plugin, and external tools to compile only changed code, achieving 15‑second builds with over 92% success, saving more than 535 hours, while adding one‑click, MultiDex, and Kotlin internal support and addressing dependency issues, with plans for CLI, offline mode, and open‑source release.

AndroidGradle PluginSavitar
0 likes · 13 min read
Savitar 2.0: Incremental Android Compilation Solution – Design, Features, and Performance
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Jan 31, 2021 · Cloud Native

Solving Cloud‑Native Log Collection: NetEase Lightboat’s Architecture & Insights

This article explains how NetEase’s Lightboat micro‑service platform tackles the challenges of log collection in cloud‑native Kubernetes environments by designing a custom controller, selecting Filebeat as the agent, integrating it via DaemonSet, extending its functionality, and applying Golang performance‑tuning techniques to achieve efficient, observable logging.

FilebeatKubernetescloud-native
0 likes · 13 min read
Solving Cloud‑Native Log Collection: NetEase Lightboat’s Architecture & Insights
Java Interview Crash Guide
Java Interview Crash Guide
Jan 28, 2021 · Backend Development

Why Adding More JVM Memory Won’t Fix Performance: Real Tuning Strategies

Even though many joke that simply increasing JVM heap solves performance issues, this article explains why blind memory expansion often worsens latency in high‑concurrency scenarios and presents concrete tuning strategies such as adjusting young generation size, reducing stack memory, and monitoring GC metrics.

Garbage CollectionJVMMemory Tuning
0 likes · 7 min read
Why Adding More JVM Memory Won’t Fix Performance: Real Tuning Strategies
dbaplus Community
dbaplus Community
Jan 27, 2021 · Big Data

How We Upgraded a 1500-Node Flink Cluster to 1.10: Challenges and Solutions

Facing a massive 1500‑node Flink 1.4.2 cluster handling over 12,000 tasks and 30 trillion daily events, we migrated to Flink 1.10, detailing new DDL/Catalog support, SQL enhancements, memory tuning, compatibility patches, extensive testing, and engine optimizations such as task‑load metrics and balanced sub‑task scheduling.

Big DataFlinkSQL
0 likes · 13 min read
How We Upgraded a 1500-Node Flink Cluster to 1.10: Challenges and Solutions
360 Tech Engineering
360 Tech Engineering
Jan 25, 2021 · Mobile Development

Guide to Mobile Video Editing SDK Architecture, Concepts, and Performance Optimization

This article presents a comprehensive guide on mobile video editing, covering the historical background of montage, fundamental editing concepts, the component structure of a video editing SDK, detailed performance‑optimisation techniques, compatibility handling, and future directions such as AI‑driven and cloud‑assisted workflows.

SDKarchitecturemedia processing
0 likes · 12 min read
Guide to Mobile Video Editing SDK Architecture, Concepts, and Performance Optimization
Efficient Ops
Efficient Ops
Jan 17, 2021 · Big Data

Understanding Kafka: Core Concepts, Architecture, and Performance Secrets

This article introduces Kafka’s fundamental role as a messaging system, explains topics, partitions, producers, consumers, replicas, consumer groups, and the controller, and explores its cluster architecture, performance optimizations like sequential writes and zero-copy, providing a comprehensive overview for building scalable data pipelines.

Big DataMessage QueueStreaming
0 likes · 11 min read
Understanding Kafka: Core Concepts, Architecture, and Performance Secrets
DataFunTalk
DataFunTalk
Jan 15, 2021 · Big Data

Optimizing Apache Kylin for Meituan's Sales OLAP: From MapReduce to Spark and Resource Tuning

This article presents a detailed case study of how Meituan's in‑store dining sales team identified severe efficiency issues in their Apache Kylin‑based OLAP system, dissected the construction process, and applied a step‑by‑step optimization roadmap—including engine migration, dimension pruning, resource configuration, and Spark‑based layered building—to boost query performance and achieve near‑perfect SLA.

Apache KylinBig DataMeituan
0 likes · 16 min read
Optimizing Apache Kylin for Meituan's Sales OLAP: From MapReduce to Spark and Resource Tuning
Tencent Cloud Developer
Tencent Cloud Developer
Jan 14, 2021 · Databases

PostgreSQL Master-Slave Replication Performance Optimization: Solving Drop Table Bottleneck

The article explains how massive DROP TABLE operations in PostgreSQL master‑slave replication trigger costly buffer‑invalidation loops that cause severe lag, and describes extracting this step into a separate subprocess with a shared hash table, cutting replication lag from over 400 GB to about 10 MB—a 30,000‑fold speedup.

Buffer ManagementDatabase InternalsDatabase Replication
0 likes · 7 min read
PostgreSQL Master-Slave Replication Performance Optimization: Solving Drop Table Bottleneck
IT Architects Alliance
IT Architects Alliance
Jan 10, 2021 · Backend Development

How to Split Complex Systems and Evolve Architecture for Scalability

The article explains why growing business complexity and throughput demands force system decomposition and architectural upgrades, detailing horizontal scaling, vertical and business splitting, database sharding, caching strategies, and the evolution from monolithic to micro‑service structures.

System Architecturecachingdatabase sharding
0 likes · 8 min read
How to Split Complex Systems and Evolve Architecture for Scalability
Big Data Technology & Architecture
Big Data Technology & Architecture
Jan 7, 2021 · Databases

Comprehensive HBase Optimization Guide: Table Design, RowKey, JVM Tuning, Cache Settings, and Read/Write Performance

This article provides a detailed, practical guide to optimizing HBase in production, covering table pre‑splitting, RowKey design, JVM memory and GC settings, MSLAB and BucketCache configuration, read‑side client and server tuning, write‑side strategies, and additional tips such as compression and scan caching.

CacheHBaseJVM
0 likes · 29 min read
Comprehensive HBase Optimization Guide: Table Design, RowKey, JVM Tuning, Cache Settings, and Read/Write Performance
DataFunSummit
DataFunSummit
Jan 7, 2021 · Backend Development

Architecture and Practices of 58.com Alliance Advertising Platform

This article presents a comprehensive overview of the 58.com alliance advertising platform, detailing its business model, core modules such as SSP, DSP, media and creative platforms, system architecture, performance optimizations, big‑data processing, and future directions for programmatic creative generation.

Ad TechAdvertisingDSP
0 likes · 13 min read
Architecture and Practices of 58.com Alliance Advertising Platform
JD Tech Talk
JD Tech Talk
Jan 6, 2021 · Backend Development

JDDLB Architecture and QAT SSL/TLS Hardware Acceleration Optimization

This article details the overall architecture of JD.com Data Science's JDDLB load balancer, its high‑performance and high‑availability features, and presents a comprehensive performance comparison of SSL/TLS offloading using Intel QAT acceleration cards, including async processing, user‑space driver zero‑copy implementation, crash analysis, and process‑level engine scheduling.

Hardware offloadQATSSL/TLS acceleration
0 likes · 13 min read
JDDLB Architecture and QAT SSL/TLS Hardware Acceleration Optimization
DataFunTalk
DataFunTalk
Jan 6, 2021 · Big Data

Didi's Presto Engine: Architecture, Optimizations, and Operational Practices

This article presents Didi's three‑year experience with Presto, detailing its architecture, low‑latency design, large‑scale deployment, extensive Hive compatibility work, resource isolation, Druid connector integration, usability enhancements, stability engineering, performance tuning, and future directions for the ad‑hoc query engine.

Big DataDruid ConnectorSQL Engine
0 likes · 17 min read
Didi's Presto Engine: Architecture, Optimizations, and Operational Practices
Amap Tech
Amap Tech
Dec 30, 2020 · Mobile Development

App Startup Performance Optimization: Techniques and Tools for iOS and Android

Optimizing app launch on iOS and Android—through deep‑link handling, H5 splash strategies, On‑Demand Resources, custom WKWebView schemes, reduced download size, static and runtime .so loading flags, thread‑pool tuning, method swizzling, actor‑based concurrency, and using Instruments, MetricKit and Android Profiler—prevents user abandonment and boosts conversion.

Androidapp startupiOS
0 likes · 37 min read
App Startup Performance Optimization: Techniques and Tools for iOS and Android
Tencent Cloud Developer
Tencent Cloud Developer
Dec 30, 2020 · Big Data

How Alluxio Boosts Tencent Cloud EMR: Cutting Bandwidth by 50% and Accelerating IO‑Intensive Workloads

This article analyzes the challenges of traditional monolithic big‑data architectures, explains how Tencent Cloud EMR integrates Alluxio for compute‑storage separation, presents detailed performance benchmarks showing 20‑50% bandwidth reduction and 5‑40% query speedup, and outlines the specific tuning measures applied.

AlluxioBig DataCloud Computing
0 likes · 10 min read
How Alluxio Boosts Tencent Cloud EMR: Cutting Bandwidth by 50% and Accelerating IO‑Intensive Workloads
ITPUB
ITPUB
Dec 29, 2020 · Databases

How BaikalDB’s Columnar Storage Boosted Real‑Time Analytics at DTCC2020

This article details how the DTCC2020 guest speaker from Tongcheng‑Elong introduced BaikalDB’s distributed columnar storage, covering internal and external motivations, technology comparison, architecture, implementation tricks, performance gains in production, and future hybrid row‑column research directions.

BaikalDBHTAPcolumnar storage
0 likes · 12 min read
How BaikalDB’s Columnar Storage Boosted Real‑Time Analytics at DTCC2020
JD Cloud Developers
JD Cloud Developers
Dec 28, 2020 · Operations

How JD’s Modular Servers Redefine Data Center Efficiency and Flexibility

This article examines JD Intelligent Cloud’s self‑developed modular servers, highlighting their innovative front‑back I/O design, liquid‑cooling integration, custom Intel CPUs, and performance gains that address high PUE, deployment complexity, and scalability challenges in modern data centers.

Data CenterPUEliquid cooling
0 likes · 12 min read
How JD’s Modular Servers Redefine Data Center Efficiency and Flexibility
MaGe Linux Operations
MaGe Linux Operations
Dec 27, 2020 · Fundamentals

Boost Image Preprocessing Speed in Python with Just 3 Lines of Code

Learn how to accelerate Python image preprocessing by leveraging the built‑in concurrent.futures module to run tasks across all CPU cores, turning a single‑core script that takes seconds into a multi‑core version that finishes in under two seconds with only three extra lines of code.

concurrent.futuresimage preprocessingparallel processing
0 likes · 7 min read
Boost Image Preprocessing Speed in Python with Just 3 Lines of Code
Big Data Technology & Architecture
Big Data Technology & Architecture
Dec 27, 2020 · Big Data

Understanding and Solving the Small File Problem in Big Data Systems

This article examines the pervasive small‑file issue in big‑data environments, explains its impact on storage and processing performance, and presents a comprehensive set of solutions—including file merging, Hadoop archives, SequenceFiles, HBase, CombineFileInputFormat, and Spark/Flink strategies—to mitigate metadata overhead and improve I/O efficiency.

FlinkHadoopNameNode
0 likes · 41 min read
Understanding and Solving the Small File Problem in Big Data Systems
dbaplus Community
dbaplus Community
Dec 22, 2020 · Big Data

How eBay Migrated 10 PB of HDFS Data Across Namespaces in Just 2 Hours

This article details how eBay's ADI Hadoop team tackled a massive 10 PB, 10‑million‑file migration by optimizing DistCp with Fastcopy, load‑balancing, ACL handling, and failure recovery, ultimately completing the transfer within a two‑hour window while preserving cluster stability and performance.

Big DataDistcpHDFS
0 likes · 16 min read
How eBay Migrated 10 PB of HDFS Data Across Namespaces in Just 2 Hours
Java Architecture Diary
Java Architecture Diary
Dec 19, 2020 · Backend Development

Boost Spring Boot Performance with GraalVM Native Images

This guide walks through installing GraalVM, adding the native‑image tool, creating a Spring Boot 2.4 project, configuring it for GraalVM, building a native executable, and comparing startup time and memory usage, showing how GraalVM can reduce startup from over a second to 0.2 seconds and memory from 480 MB to 25 MB.

GraalVMJavaNative Image
0 likes · 8 min read
Boost Spring Boot Performance with GraalVM Native Images
Suning Technology
Suning Technology
Dec 18, 2020 · Big Data

How ClickHouse Powered Suning’s Billion‑Tag User Profiles in Seconds

Suning’s senior architect Yang Zhaohui explains how his team rebuilt the tag platform with ClickHouse, using RoaringBitmap and custom optimizations to achieve second-level queries on billions of user tags, dramatically cutting response time, reducing hardware costs, and enabling real-time marketing insights.

ClickHouseOLAPRoaringBitmap
0 likes · 5 min read
How ClickHouse Powered Suning’s Billion‑Tag User Profiles in Seconds
Alibaba Cloud Native
Alibaba Cloud Native
Dec 16, 2020 · Cloud Native

RocketMQ’s Cloud‑Native Operator: 30% Faster Filtering and POP Consumption

This article details how Alibaba Cloud transformed RocketMQ with a Kubernetes‑based operator, optimized message filtering by indexing MessageType for up to 30% CPU reduction, and introduced a POP consumption model that eliminates rebalance delays, achieving stable performance during the 2020 Double‑11 peak.

KubernetesMessage FilteringRocketMQ
0 likes · 14 min read
RocketMQ’s Cloud‑Native Operator: 30% Faster Filtering and POP Consumption
vivo Internet Technology
vivo Internet Technology
Dec 15, 2020 · Frontend Development

Practical Experience of Server‑Side Rendering (SSR) for Vivo Official Mall

The article details how Vivo’s official mall migrated from a heavy SPA to a Nuxt‑based server‑side rendering solution, employing LRU page caching, component and API caches, concurrent requests, selective client‑only rendering, robust degradation tactics, automated CI/CD deployment, and monitoring, which together boosted QPS from 125 to 6 000—a roughly fifty‑fold performance gain and markedly better user experience.

CI/CDNode.jsSSR
0 likes · 12 min read
Practical Experience of Server‑Side Rendering (SSR) for Vivo Official Mall
Taobao Frontend Technology
Taobao Frontend Technology
Dec 14, 2020 · Cloud Computing

How Alibaba’s Serverless Cloud Platform Boosts Development Speed and Stability

This article explains how Alibaba’s Serverless Cloud Development Platform, built on Function Compute, enables thousands of engineers to develop, deliver, and operate large‑scale applications faster and more reliably by providing integrated solutions, customizable capabilities, and comprehensive stability and operations tools.

DevOpsFunction ComputePlatform Engineering
0 likes · 16 min read
How Alibaba’s Serverless Cloud Platform Boosts Development Speed and Stability
Architects' Tech Alliance
Architects' Tech Alliance
Dec 7, 2020 · Fundamentals

Overview of Lustre Parallel File System Architecture and Performance Characteristics

The article provides a comprehensive overview of the Lustre parallel file system architecture, its core components, POSIX compliance, scalability, high‑performance networking, security features, data layout mechanisms, and performance considerations for large and small files, along with practical optimization tips for HPC environments.

HPCLustrePOSIX
0 likes · 17 min read
Overview of Lustre Parallel File System Architecture and Performance Characteristics
Alibaba Cloud Native
Alibaba Cloud Native
Dec 7, 2020 · Backend Development

How ICBC Scaled Dubbo Service Discovery for 20,000+ Services

This article details Industrial Bank's migration to Dubbo micro‑services, the performance and high‑availability challenges of managing over 20,000 services with Zookeeper, and the concrete optimizations—delayed subscription, multiple‑registry mode, and per‑node registration—that enabled stable, large‑scale service discovery.

DubboICBCZookeeper
0 likes · 15 min read
How ICBC Scaled Dubbo Service Discovery for 20,000+ Services
Big Data Technology & Architecture
Big Data Technology & Architecture
Dec 7, 2020 · Databases

MySQL Billion‑Row Data Migration: Export, Import, and Performance Optimization

This article documents a step‑by‑step MySQL data migration case involving 140 million rows, covering export via SELECT INTO OUTFILE, import with LOAD DATA INFILE, and a series of performance tweaks such as index removal, session variable tuning, engine selection, and monitoring to achieve sub‑10‑minute load times.

Data MigrationExportMySQL
0 likes · 9 min read
MySQL Billion‑Row Data Migration: Export, Import, and Performance Optimization
Selected Java Interview Questions
Selected Java Interview Questions
Dec 2, 2020 · Backend Development

Designing a High‑Concurrency Flash Sale (Seckill) System: Architecture, Principles, and Optimization

This article explains how to design a flash‑sale (seckill) system that handles massive concurrent reads and writes by applying principles such as minimizing data and request volume, shortening request paths, eliminating single points of failure, and employing layered caching, traffic shaping, and robust high‑availability strategies.

JavaSystem Designflash sale
0 likes · 44 min read
Designing a High‑Concurrency Flash Sale (Seckill) System: Architecture, Principles, and Optimization
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Dec 1, 2020 · Backend Development

Mastering Cache: Core Concepts, Pitfalls, and Patterns for Scalable Systems

Cache leverages the space‑time trade‑off to boost performance, but introduces complexity; this guide explains its fundamental idea, local vs distributed solutions, popular Java caching libraries, and key read/write patterns such as Cache‑Aside, Read‑Through, and Write‑Behind, highlighting benefits, drawbacks, and best‑practice considerations.

System Designcache patternscaching
0 likes · 13 min read
Mastering Cache: Core Concepts, Pitfalls, and Patterns for Scalable Systems
Programmer DD
Programmer DD
Nov 30, 2020 · Backend Development

How Many Threads Are Optimal? Mastering Thread Pool Sizing for Maximum Performance

This article explains why multithreading improves program performance, distinguishes latency reduction from throughput increase, and provides practical formulas to determine the ideal number of threads for both I/O‑bound and CPU‑bound workloads, helping you fully utilize hardware resources.

I/O Boundconcurrencycpu-utilization
0 likes · 4 min read
How Many Threads Are Optimal? Mastering Thread Pool Sizing for Maximum Performance
Xianyu Technology
Xianyu Technology
Nov 24, 2020 · Mobile Development

Performance Optimization of Xianyu Flutter App: Smoothness, Load Time, and Rendering Improvements

The Xianyu team optimized their Flutter‑based app by creating a lag‑diagnosis tool, minimizing unnecessary widget rebuilds, deferring load‑more updates, using low‑resolution placeholders, prefetching data with skeleton screens, reusing FlutterBoost containers and early data passing, which together cut jank by half, shaved ~300 ms off page loads and raised average FPS by about three points on low‑end devices.

FlutterLoad TimeRendering
0 likes · 10 min read
Performance Optimization of Xianyu Flutter App: Smoothness, Load Time, and Rendering Improvements
ITPUB
ITPUB
Nov 23, 2020 · Databases

Eliminating InnoDB Adaptive Hash Index Lock Contention for Faster Queries

The article examines the hidden lock‑contention issue in InnoDB’s Adaptive Hash Index (AHI) observed during high‑concurrency sysbench runs, explains why multiple threads block on the AHI hash table’s exclusive lock, and presents a lightweight fallback optimization that checks the lock before building AHI, reducing lock wait time and stabilizing QPS performance.

Adaptive Hash IndexDatabase InternalsInnoDB
0 likes · 9 min read
Eliminating InnoDB Adaptive Hash Index Lock Contention for Faster Queries
High Availability Architecture
High Availability Architecture
Nov 23, 2020 · Mobile Development

Design and Optimization of iQIYI Mobile APM Network Monitoring System

This article details the background, system design, and successive optimizations of iQIYI's mobile Application Performance Monitoring (APM) network monitoring solution, covering SDK and backend architecture, DNS and weak‑network enhancements, gateway strategies, retry mechanisms, and the resulting significant reduction in error rates.

APMiQIYImobile development
0 likes · 10 min read
Design and Optimization of iQIYI Mobile APM Network Monitoring System
Laravel Tech Community
Laravel Tech Community
Nov 19, 2020 · Databases

Fundamental Principles of Database Design: Entities, Keys, Normalization, and Optimization

This article outlines essential database design concepts, covering the relationship between source documents and entities, primary‑foreign key design, basic table characteristics, normalization standards, handling many‑to‑many relationships, primary key strategies, data redundancy, ER‑diagram considerations, view usage, and performance‑boosting techniques.

Foreign Keydata redundancydatabase-design
0 likes · 12 min read
Fundamental Principles of Database Design: Entities, Keys, Normalization, and Optimization
JD Cloud Developers
JD Cloud Developers
Nov 19, 2020 · Cloud Computing

How JD’s Bare Metal Cloud Powered the 11.11 Shopping Festival’s Massive Traffic

This article explains how JD Intelligent Cloud’s bare metal cloud hosts delivered near‑physical performance, automated operations, and strong isolation to support the 11.11 shopping festival’s billions of visits and millions of concurrent requests, detailing architecture, performance gains, and integration with Kubernetes.

Bare MetalCloud ComputingJD Cloud
0 likes · 7 min read
How JD’s Bare Metal Cloud Powered the 11.11 Shopping Festival’s Massive Traffic
Meituan Technology Team
Meituan Technology Team
Nov 19, 2020 · Big Data

Optimizing Apache Kylin for High‑Performance OLAP in Meituan's Sales System

Meituan’s sales system “Qingtian” boosted OLAP performance by migrating Apache Kylin’s build engine from MapReduce to Spark, consolidating Hive files, refining dictionary creation, applying a By‑layer algorithm, and bulk‑loading cuboid files to HBase, cutting resource consumption and halving build time, ultimately reaching a 100 % SLA.

Apache KylinBig DataMeituan
0 likes · 15 min read
Optimizing Apache Kylin for High‑Performance OLAP in Meituan's Sales System
vivo Internet Technology
vivo Internet Technology
Nov 18, 2020 · Cloud Native

vivo Distributed Tracing System Agent Technology Principles and Practical Experience

The 2017‑initiated vivo distributed tracing system leverages a JavaAgent‑based micro‑kernel architecture, using ByteBuddy for non‑intrusive bytecode instrumentation, a Disruptor lock‑free queue, and Kafka to capture Trace/Span data—including cross‑thread propagation—while employing sampling, degradation, and JVM metrics to ensure 94% adoption stability.

DisruptorJavaAgentObservability
0 likes · 23 min read
vivo Distributed Tracing System Agent Technology Principles and Practical Experience
Alibaba Terminal Technology
Alibaba Terminal Technology
Nov 17, 2020 · Frontend Development

How Alibaba Boosted Double 11 Page Speed with Data‑Driven Server‑Side Rendering

In 2020 Alibaba upgraded its Double 11 e‑commerce venue by introducing a low‑risk data‑driven Server‑Side Rendering (SSR) solution that lifted the page‑open rate to 82.6% and increased UV click‑through by up to 5%, while detailing the architectural changes, performance metrics, implementation challenges, and measurable business impact.

SSRperformance optimization
0 likes · 23 min read
How Alibaba Boosted Double 11 Page Speed with Data‑Driven Server‑Side Rendering
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Nov 16, 2020 · Frontend Development

Performance Optimization Practices for the XRN Platform (Web and React Native)

NetEase’s XRN platform boosts Web and React Native performance by eliminating duplicate bundles, pruning unused code, importing only needed polyfills, using dynamic imports and bundle splitting, pre‑loading assets, lazily loading images and lists, limiting first‑screen rendering, and applying memoization, raising Lighthouse scores from 50.3 to 80.4 and cutting RN load time by 40 %.

Code SplittingTree-shakinglazy-loading
0 likes · 13 min read
Performance Optimization Practices for the XRN Platform (Web and React Native)
Java Captain
Java Captain
Nov 12, 2020 · Backend Development

Optimizing Java File Compression: From Buffered Streams to NIO Channels, Memory‑Mapped Files and Pipes

This article demonstrates how to dramatically reduce the time required to compress multiple large images in Java by progressively applying buffered streams, NIO channels, direct buffers, memory‑mapped files and pipe techniques, measuring each optimization and explaining the underlying I/O mechanisms.

JavaMemory Mapped FilesNIO
0 likes · 13 min read
Optimizing Java File Compression: From Buffered Streams to NIO Channels, Memory‑Mapped Files and Pipes
21CTO
21CTO
Nov 9, 2020 · Databases

How ClickHouse Turns MySQL Bottlenecks into Sub‑Second OLAP Queries

This article introduces ClickHouse, compares column‑store and row‑store databases, shows how migrating a 50‑million‑row MySQL table to ClickHouse reduced query time from minutes to under one second, and shares practical installation, migration, performance testing, and synchronization tips.

ClickHouseColumnar DatabaseData Migration
0 likes · 6 min read
How ClickHouse Turns MySQL Bottlenecks into Sub‑Second OLAP Queries
ITPUB
ITPUB
Nov 5, 2020 · Databases

How ClickHouse Cut MySQL Query Time 200× – A Practical Migration Guide

This article introduces ClickHouse, compares column‑ and row‑oriented storage, explains a real‑world migration from MySQL to ClickHouse that reduced a 3‑minute query to under one second, details installation, migration methods, performance results, synchronization options, and common pitfalls.

ClickHouseColumnar DatabaseData Migration
0 likes · 7 min read
How ClickHouse Cut MySQL Query Time 200× – A Practical Migration Guide
dbaplus Community
dbaplus Community
Nov 3, 2020 · Big Data

How Ctrip Boosted Hotel Data Warehouse Performance 400% with ClickHouse

Ctrip’s hotel data team tackled a 3 TB daily data load by building a ClickHouse cluster on VMware, creating custom sync and execution tools, applying query optimizations, and handling merge and memory errors, ultimately achieving over 400% performance gains across multiple reporting themes.

Big DataClickHouseETL
0 likes · 7 min read
How Ctrip Boosted Hotel Data Warehouse Performance 400% with ClickHouse
DataFunTalk
DataFunTalk
Nov 3, 2020 · Big Data

Xiaomi Growth Analytics System: Architecture Evolution and Doris Optimization

The article details Xiaomi's growth analytics platform evolution from a Lambda architecture using SparkSQL, Kudu, and HDFS to a streamlined MPP solution with Apache Doris, covering performance gains, real‑time data ingestion, query tuning, and operational improvements for large‑scale analytics.

Apache DorisOLAPReal-time Ingestion
0 likes · 20 min read
Xiaomi Growth Analytics System: Architecture Evolution and Doris Optimization
Java Architect Essentials
Java Architect Essentials
Nov 2, 2020 · Cloud Computing

High-Concurrency Architecture and Optimization Strategies in Cloud Development

During the pandemic, the Yunnan “Anti‑Epidemic” mini‑program faced over 80 W requests per minute, prompting an analysis of how cloud development’s serverless, auto‑scaling architecture—covering data pipelines, cloud functions, and cloud databases—can ensure high performance, availability, and cost‑effective handling of massive concurrent traffic.

Cloud ComputingCloud FunctionsDatabase Scaling
0 likes · 19 min read
High-Concurrency Architecture and Optimization Strategies in Cloud Development
Liangxu Linux
Liangxu Linux
Oct 31, 2020 · Fundamentals

How CPU Cache Works and How to Write Faster Code

Understanding CPU cache hierarchy, its speed advantages over memory, and the mechanics of cache lines, tags, and offsets reveals why code that maximizes cache hit rates—through sequential data access, branch prediction, and core affinity—can run dramatically faster on modern processors.

CPU cacheCache Hit Ratelow-level programming
0 likes · 18 min read
How CPU Cache Works and How to Write Faster Code
iQIYI Technical Product Team
iQIYI Technical Product Team
Oct 30, 2020 · Mobile Development

Design and Optimization of iQIYI Mobile APM Network Monitoring System

The iQIYI mobile APM system provides real‑time, user‑level network monitoring with classified error detection, cloud‑controlled SDK sampling, second‑level backend storage, and web dashboards, while employing DNS three‑layer caching, weak‑network grading, gateway multiplexing, super‑pipeline proxies and layered retry strategies, reducing Android error rates from 5.3 % to 0.48 % and iOS from 4.63 % to 0.35 %.

APMDNSRetry Strategy
0 likes · 11 min read
Design and Optimization of iQIYI Mobile APM Network Monitoring System
Top Architect
Top Architect
Oct 30, 2020 · Backend Development

Implementing Search with Redis: A Backend Development Case Study

This article demonstrates how to replace complex SQL search queries with a Redis‑based solution by caching intermediate result sets using sets and sorted sets, optimizing performance through multi‑command transactions, and adding pagination, offering a practical backend development pattern for high‑traffic e‑commerce search.

PaginationSQLperformance optimization
0 likes · 9 min read
Implementing Search with Redis: A Backend Development Case Study
JD Tech Talk
JD Tech Talk
Oct 28, 2020 · Backend Development

Performance Optimization of SSL/TLS in JD.com JDDLB Load Balancer Using Freescale Acceleration Cards

This article describes the architecture of JD.com’s JDDLB public‑traffic load balancer and details how offloading CPU‑intensive SSL/TLS cryptographic operations to Freescale C291 acceleration cards—via custom NGINX modules, OpenSSL Engine integration, and synchronous/asynchronous driver interfaces—significantly improves connection‑establishment rates and overall throughput.

Hardware AccelerationOpenSSLSSL/TLS
0 likes · 30 min read
Performance Optimization of SSL/TLS in JD.com JDDLB Load Balancer Using Freescale Acceleration Cards
Python Programming Learning Circle
Python Programming Learning Circle
Oct 27, 2020 · Backend Development

Instagram’s Migration from Python 2 to Python 3: Challenges, Solutions, and Performance Gains

This article details how Instagram migrated its massive Python 2/Django codebase to Python 3, describing the motivations, technical obstacles such as Unicode, pickling, iterator changes, the tools and strategies used, and the resulting CPU, memory, and latency improvements across billions of users.

DjangoPythonbackend engineering
0 likes · 18 min read
Instagram’s Migration from Python 2 to Python 3: Challenges, Solutions, and Performance Gains
DataFunTalk
DataFunTalk
Oct 19, 2020 · Big Data

Impala Optimization and Practices at NetEase Big Data Platform

This article presents a comprehensive overview of NetEase's use of Impala as an OLAP query engine, detailing its architectural advantages, performance benefits, enhancements such as management servers, metadata synchronization, high‑availability via Zookeeper, expanded storage support, and real‑world deployment cases in the "Mammoth" platform and NetEase Cloud Music.

ImpalaMetadata SyncOLAP
0 likes · 11 min read
Impala Optimization and Practices at NetEase Big Data Platform
Tencent Cloud Developer
Tencent Cloud Developer
Oct 19, 2020 · Big Data

Improving Spark Write Performance for Massive Files on Object Storage with Tencent Cloud EMR

By parallelizing Spark’s driver‑side commit, trash, and move phases—previously single‑threaded operations that caused costly copy‑on‑rename when writing massive files to object storage—the Tencent Cloud EMR case achieved over a tenfold (1,100 %) speedup, making object storage a viable alternative to HDFS.

Big DataDistributed ComputingEMR
0 likes · 8 min read
Improving Spark Write Performance for Massive Files on Object Storage with Tencent Cloud EMR
DataFunTalk
DataFunTalk
Oct 14, 2020 · Artificial Intelligence

Angel Machine Learning Platform: Architecture, Deep Learning Extensions, and Applications in Tencent Advertising Recommendation System

This article introduces Tencent's self‑built Angel distributed machine‑learning platform, describes its architecture and deep‑learning extensions (Parameter Server and AllReduce), explains how it powers the advertising recommendation pipeline with models such as DSSM, VLAD and YOLO, and presents extensive training‑level optimizations that yield multi‑fold performance improvements.

AngelTencentdistributed machine learning
0 likes · 15 min read
Angel Machine Learning Platform: Architecture, Deep Learning Extensions, and Applications in Tencent Advertising Recommendation System
ITPUB
ITPUB
Oct 10, 2020 · Big Data

How Didi Scaled Presto for Petabyte‑Scale Queries: Architecture & Optimizations

Didi’s three‑year journey with Presto transformed it into the company’s primary ad‑hoc and Hive‑SQL acceleration engine, serving over 6 000 users, processing 2‑3 PB of HDFS data daily, and achieving major gains in stability, performance, cost, and usability through extensive architectural tweaks, resource isolation, connector extensions, and monitoring enhancements.

Big DataCluster ManagementDruid Connector
0 likes · 18 min read
How Didi Scaled Presto for Petabyte‑Scale Queries: Architecture & Optimizations
Architecture Digest
Architecture Digest
Oct 1, 2020 · Big Data

Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization

This article provides a comprehensive introduction to Elasticsearch, covering data types, the role of Lucene, cluster architecture, node roles, discovery mechanisms, shard and replica management, mapping, installation, health monitoring, indexing workflow, storage internals, refresh and translog processes, segment merging, and practical performance and JVM tuning tips.

ElasticsearchReplicaShard
0 likes · 35 min read
Elasticsearch Overview: Architecture, Core Concepts, and Performance Optimization
dbaplus Community
dbaplus Community
Sep 28, 2020 · Databases

How ClickHouse Outperformed Elasticsearch for Ctrip’s Log Analytics: Speed, Cost & Ops

Facing growing log volumes and high Elasticsearch costs, Ctrip migrated its 200 TB daily logs to ClickHouse, achieving up to 38× faster queries, 60 % lower server resources, and simplified operations through columnar storage, sharding, and custom dashboards, while detailing deployment, tuning, and common pitfalls.

ClickHouseDatabase MigrationElasticsearch
0 likes · 14 min read
How ClickHouse Outperformed Elasticsearch for Ctrip’s Log Analytics: Speed, Cost & Ops
DataFunTalk
DataFunTalk
Sep 28, 2020 · Databases

Understanding OLAP Types, Open‑Source Products, and Performance Optimization Techniques

This article explains the classification of OLAP data warehouses by data volume and modeling approach, compares MOLAP, ROLAP, HOLAP and HTAP, reviews popular open‑source ROLAP systems, and details advanced performance‑boosting techniques such as MPP architectures, cost‑based optimization, vectorized execution, dynamic code generation, and runtime filtering.

MOLAPOLAPROLAP
0 likes · 27 min read
Understanding OLAP Types, Open‑Source Products, and Performance Optimization Techniques
Tencent Cloud Developer
Tencent Cloud Developer
Sep 27, 2020 · Operations

Elasticsearch Cluster Capacity Planning, Index Configuration, and Performance Optimization

This guide outlines practical capacity‑planning, index‑design, and write‑performance tuning for Tencent Cloud Elasticsearch clusters, covering compute and storage sizing, optimal shard counts, rollover strategies, bulk API settings, health monitoring, and common troubleshooting steps to ensure stable, high‑throughput search services.

Cluster PlanningElasticsearchoperations
0 likes · 19 min read
Elasticsearch Cluster Capacity Planning, Index Configuration, and Performance Optimization
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Sep 27, 2020 · R&D Management

Tackling Code Quality, Testing, and Efficiency Challenges in Software Development

This article examines common pitfalls in code quality, testing, and development efficiency, analyzes their root causes, and proposes concrete, actionable solutions such as performance optimization, stricter coding standards, regular code reviews, improved testing practices, and enhanced team collaboration to boost overall software project success.

R&D managementcode qualitycoding standards
0 likes · 12 min read
Tackling Code Quality, Testing, and Efficiency Challenges in Software Development
Youku Technology
Youku Technology
Sep 25, 2020 · Frontend Development

How Weex Revolutionized OTT Front‑End Performance at Alibaba Entertainment

This article examines Alibaba Entertainment's three‑stage evolution of OTT front‑end technology—from early WebView implementations through a custom Blitz engine to the current Weex (RAX) solution—detailing implementation steps, performance‑boosting techniques, and measurable results that cut page load times by over 50%.

AlibabaCustom EngineFront-end
0 likes · 5 min read
How Weex Revolutionized OTT Front‑End Performance at Alibaba Entertainment
Top Architect
Top Architect
Sep 25, 2020 · Databases

Introduction to ClickHouse: Installation, MySQL Migration, Performance Testing, and Best Practices

This article introduces ClickHouse, a column‑store OLAP database, explains its advantages over row‑store systems, guides installation on macOS, details migration strategies from MySQL, presents performance benchmarks showing 200‑fold speedups, and discusses synchronization methods, pitfalls, and practical tips.

ClickHouseColumnar DatabaseData Migration
0 likes · 6 min read
Introduction to ClickHouse: Installation, MySQL Migration, Performance Testing, and Best Practices
Tencent Cloud Middleware
Tencent Cloud Middleware
Sep 23, 2020 · Backend Development

Building a Stable High‑Traffic Microservice System with Consul‑Access and Multi‑Tenant Service Discovery

This article explains how to construct a reliable, high‑throughput microservice platform using open‑source components such as Consul, an access layer, and token‑based multi‑tenant service discovery, covering architecture, registration, heartbeat handling, performance optimizations, high‑availability strategies, graceful shutdown, and deployment best practices.

ConsulKubernetesToken Authentication
0 likes · 31 min read
Building a Stable High‑Traffic Microservice System with Consul‑Access and Multi‑Tenant Service Discovery
Architect
Architect
Sep 19, 2020 · Databases

ClickHouse Overview, MySQL Migration, Performance Testing, and Practical Tips

This article introduces ClickHouse as a high‑performance columnar OLAP database, compares it with row‑based systems, details migration methods from MySQL, presents performance benchmarks showing dramatic speed gains, discusses data synchronization strategies, explains why ClickHouse is fast, and shares common pitfalls and solutions.

ClickHouseColumnar DatabaseData Migration
0 likes · 5 min read
ClickHouse Overview, MySQL Migration, Performance Testing, and Practical Tips