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Performance Optimization

2086 articles · Page 2 of 21
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jun 1, 2026 · Cloud Computing

Cut Migration Time by 60%: Baidu Cloud Deploys Intel Xeon 6 QAT‑Accelerated Live VM Migration

The article analyzes the challenges of large‑scale live VM migration, introduces Intel Xeon 6 CPU‑integrated QAT hardware acceleration, compares pre‑ and post‑QAT workflows, and reports a 60% reduction in migration time, 20% CPU savings, and sub‑10 ms downtime in Baidu Smart Cloud production.

Cloud ComputingIntel QATPerformance Optimization
0 likes · 10 min read
Cut Migration Time by 60%: Baidu Cloud Deploys Intel Xeon 6 QAT‑Accelerated Live VM Migration
Subtle Storm
Subtle Storm
May 29, 2026 · Databases

How Vector Databases Power Intelligent Medical Q&A Systems

By integrating Milvus vector database with a Retrieval‑Augmented Generation architecture, the authors built an AI‑driven multi‑turn medical Q&A system that achieved 92% knowledge retrieval accuracy, 96.3% recall with 18 ms latency, and demonstrated the strengths, trade‑offs, and engineering practices of vector‑based semantic search in healthcare.

Medical AIMilvusPerformance Optimization
0 likes · 11 min read
How Vector Databases Power Intelligent Medical Q&A Systems
dbaplus Community
dbaplus Community
May 26, 2026 · Fundamentals

Can't Master the Linux Kernel Without Understanding NUMA?

This article explains the core principles of NUMA architecture, how it is deeply integrated into Linux kernel memory management, process scheduling, and system calls, and provides practical commands and real‑world examples to diagnose and optimize NUMA‑related performance issues.

Linux kernelNUMAPerformance Optimization
0 likes · 24 min read
Can't Master the Linux Kernel Without Understanding NUMA?
Architects' Tech Alliance
Architects' Tech Alliance
May 26, 2026 · Information Security

How Sugon Cloud’s “3D Secure Computation” Delivers Seamless Security for Financial Institutions

Facing the 2025‑2026 regulatory deadline, Sichuan Rural Commercial Union Bank migrated its core services to Sugon Cloud’s “3D Secure Computation” platform, achieving full‑link encryption with only a 4.4% performance overhead and proving that hardware‑based security can be both compliant and virtually invisible to users.

Financial CompliancePerformance OptimizationSugon Cloud
0 likes · 5 min read
How Sugon Cloud’s “3D Secure Computation” Delivers Seamless Security for Financial Institutions
Machine Heart
Machine Heart
May 21, 2026 · Industry Insights

How ZCube Redefines 20‑Year‑Old Networking Logic to Boost GPU Throughput by 15%

ZCube, a new flat networking architecture deployed by Zhipu in its GLM‑5.1 inference cluster, eliminates structural congestion, delivering a 15% throughput gain, 40.6% latency reduction, and one‑third lower hardware cost without adding GPUs, signaling a shift from raw compute to system efficiency in AI infrastructure.

AI networkingGPU clusterMRC protocol
0 likes · 15 min read
How ZCube Redefines 20‑Year‑Old Networking Logic to Boost GPU Throughput by 15%
Xiaolin Talks Programming
Xiaolin Talks Programming
May 21, 2026 · Backend Development

High-Performance QPS Monitoring in Spring Boot: Sliding Window, RingBuffer & LongAdder Deep Dive

This article details a production-ready QPS monitoring implementation for Spring Boot using sliding window algorithm with RingBuffer and LongAdder for high-concurrency safety, integrated with Micrometer for metrics exposure, covering algorithm design, code implementation, performance optimization, and distributed monitoring strategies.

Distributed MonitoringHigh ConcurrencyLongAdder
0 likes · 19 min read
High-Performance QPS Monitoring in Spring Boot: Sliding Window, RingBuffer & LongAdder Deep Dive
IT Services Circle
IT Services Circle
May 20, 2026 · Databases

Why Can Redis Sustain Over 100k QPS? A Deep Technical Dive

The article explains how Redis achieves more than 100,000 queries per second by leveraging in‑memory storage, highly optimized data structures, a single‑threaded core with epoll‑based I/O multiplexing, optional I/O multithreading, and performance tricks such as pipelining and careful key sizing.

Data StructuresI/O multiplexingIn-Memory Database
0 likes · 9 min read
Why Can Redis Sustain Over 100k QPS? A Deep Technical Dive
Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
May 17, 2026 · Backend Development

How to Accurately Measure Spring Boot Bean Creation Time for Performance Optimization

This article demonstrates a non‑intrusive, high‑precision method to track each Spring Boot bean's creation time by customizing ApplicationContextFactory, Environment, and BeanFactory, allowing package‑level exclusion and clear console reporting to pinpoint slow‑loading beans during startup.

Performance OptimizationSpring Bootapplicationcontextfactory
0 likes · 7 min read
How to Accurately Measure Spring Boot Bean Creation Time for Performance Optimization
MaGe Linux Operations
MaGe Linux Operations
May 16, 2026 · Operations

How to Cut Nginx Response Time from 500 ms to 50 ms: A Practical Optimization Guide

By establishing baselines, methodically profiling logs, and applying layered tweaks—such as keepalive connections, gzip compression, proxy caching, worker tuning, HTTP/2, kernel parameters, and backend caching—this guide demonstrates how to reduce Nginx’s total response time from 500 ms to under 50 ms with measurable results.

GZIPHTTP/2Linux Tuning
0 likes · 25 min read
How to Cut Nginx Response Time from 500 ms to 50 ms: A Practical Optimization Guide
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
May 15, 2026 · Artificial Intelligence

How PD (Prefill‑Decode) Disaggregation Makes LLM Inference Faster and More Stable

The article explains PD (Prefill‑Decode) disaggregation, an architecture that separates the compute‑bound Prefill stage from the memory‑bound Decode stage onto different GPU pools, eliminating interference, enabling independent scaling, leveraging hardware specialization, and delivering up to 85% lower tail latency for large language model inference.

GPU scalingKV cache transportLLM Inference
0 likes · 10 min read
How PD (Prefill‑Decode) Disaggregation Makes LLM Inference Faster and More Stable
vivo Internet Technology
vivo Internet Technology
May 13, 2026 · Big Data

How Vivo Upgraded a Million‑Node YARN Cluster: Architecture, Scheduler Switch, and Performance Optimizations

This article details Vivo's end‑to‑end upgrade of a YARN 2.6.0 cluster to a modern version for a million‑node, hundred‑thousand‑tasks‑per‑day platform, covering architectural evolution, scheduler migration, compatibility fixes, performance tuning, and service‑continuity strategies.

Capacity SchedulerHadoopPerformance Optimization
0 likes · 28 min read
How Vivo Upgraded a Million‑Node YARN Cluster: Architecture, Scheduler Switch, and Performance Optimizations
Baidu Geek Talk
Baidu Geek Talk
May 13, 2026 · Artificial Intelligence

LoongForge Boosts Multimodal Training Speed by 45% on GPU and Kunlun XPU

LoongForge, Baidu Baige’s open‑source full‑modal training framework, unifies LLM, VLM and VLA workloads, runs unchanged on NVIDIA GPUs and Kunlun XPU, and delivers 15‑45% end‑to‑end speedups with up to 90% linear scaling on 5,000‑plus card clusters, while simplifying model integration via YAML.

AI InfrastructureGPUKunlun XPU
0 likes · 23 min read
LoongForge Boosts Multimodal Training Speed by 45% on GPU and Kunlun XPU
TDS Framework
TDS Framework
May 13, 2026 · Frontend Development

AI-Powered React-to-Kuikly Migration: 90% Code Adoption, 90% Load Time Cut, 3 Days → 1 Day

QQ Music migrated 9 React H5 pages and 3 components to the Kuikly cross-platform framework using an AI-assisted workflow, achieving over 90% AI-generated code adoption, reducing development time from 3+ days to under 1 day per page, and cutting page load time by 90% while surpassing original React performance.

AI-assisted migrationCross-platform DevelopmentKuikly
0 likes · 13 min read
AI-Powered React-to-Kuikly Migration: 90% Code Adoption, 90% Load Time Cut, 3 Days → 1 Day
Subtle Storm
Subtle Storm
May 12, 2026 · Backend Development

A Ready‑to‑Use Template for Scoring High on the System Architecture Designer Exam

This article provides a comprehensive, step‑by‑step template for a high‑scoring system architecture design paper, detailing project background, challenges, six‑stage ABSD design, microservice migration with Spring Cloud Alibaba and Kubernetes, performance metrics, high‑availability safeguards, and lessons learned.

Design PatternsKubernetesPerformance Optimization
0 likes · 10 min read
A Ready‑to‑Use Template for Scoring High on the System Architecture Designer Exam
Deepin Linux
Deepin Linux
May 11, 2026 · Fundamentals

Eliminate Memory Fragmentation: Understanding Memory Pools

The article explains how frequent dynamic allocations cause external and internal memory fragmentation, illustrates the problem with C++ examples, and shows that pre‑allocating a large contiguous block as a memory pool—managed via block division, free‑list tracking, and thread‑safe operations—significantly reduces fragmentation, improves allocation speed, and boosts concurrency performance.

C++Low-Level ProgrammingPerformance Optimization
0 likes · 30 min read
Eliminate Memory Fragmentation: Understanding Memory Pools
TonyBai
TonyBai
May 11, 2026 · Backend Development

Why Go Builds and Rust Optimizes: The Only Viable Backend Strategy for 2026

The article argues that modern backend systems inevitably hit a scalability wall, and the most effective way to cross it is to use Go for fast, simple service orchestration while delegating performance‑critical, resource‑intensive components to Rust, combining both languages to balance development speed, cost, and reliability.

Cloud Cost ManagementGoPerformance Optimization
0 likes · 10 min read
Why Go Builds and Rust Optimizes: The Only Viable Backend Strategy for 2026
DataFunSummit
DataFunSummit
May 10, 2026 · Artificial Intelligence

Why Memory Is the Bottleneck for AI Agents and How MemOS Overcomes It

The article analyzes the critical role of memory in AI agents, compares model‑driven and application‑driven approaches, details the five‑layer MemOS architecture with three‑level memory coordination, and presents performance gains such as 100‑200% monthly cloud‑service growth, up to 72% token savings, and a 30% improvement in answer quality.

AI agentEnterprise AILLM
0 likes · 18 min read
Why Memory Is the Bottleneck for AI Agents and How MemOS Overcomes It
Cloud Architecture
Cloud Architecture
May 10, 2026 · Databases

Building an Automated End-to-End Loop for Full-Stack SQL Performance Optimization

The article walks through a real-world e-commerce incident, explains why a seemingly simple slow order-query SQL can cripple an entire high-traffic system, and presents a complete automated workflow—from detection and analysis to optimization, deployment, verification, and regression monitoring—to achieve sustainable full-stack SQL performance.

AutomationMySQLPerformance Optimization
0 likes · 28 min read
Building an Automated End-to-End Loop for Full-Stack SQL Performance Optimization
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
May 9, 2026 · Cloud Computing

Optimizing OpenStack Nova VM Port Attach/Detach Performance

The article analyzes why Nova VM port attach and detach operations can take 70‑90 seconds due to full‑cache refresh and coarse locks, proposes incremental cache updates and fine‑grained port locks, and shows benchmark results that cut attach time to 10‑17 s and detach time to about 7 s while eliminating lock contention and consistency errors.

Attach/DetachIncremental CacheLock Granularity
0 likes · 10 min read
Optimizing OpenStack Nova VM Port Attach/Detach Performance
ByteDance SE Lab
ByteDance SE Lab
May 8, 2026 · Mobile Development

Douyin’s Dynamic Performance Framework: Design, Perception, and Optimization Practices

The article details Douyin's Dynamic Performance Framework (DDPF), covering its evolution from static resource scheduling to a multi‑dimensional signal‑driven system, the perception and decision layers including low‑interaction detection and end‑side intelligence, and concrete VM tuning cases that illustrate how dynamic optimization is achieved on Android.

AndroidDouyinDynamic Performance
0 likes · 21 min read
Douyin’s Dynamic Performance Framework: Design, Perception, and Optimization Practices
Woodpecker Software Testing
Woodpecker Software Testing
May 8, 2026 · Artificial Intelligence

Beyond More Hardware: In‑Depth Strategies to Accelerate AI Safety Testing

The article dissects AI safety testing bottlenecks and presents four optimization dimensions—testing paradigm, data generation, execution architecture, and feedback loop—offering concrete techniques such as risk‑aware input filtering, gradient‑cache reuse, heterogeneous parallelism, and adaptive sampling that together cut testing time by several folds.

AI safety testingPerformance Optimizationadaptive sampling
0 likes · 8 min read
Beyond More Hardware: In‑Depth Strategies to Accelerate AI Safety Testing
Machine Heart
Machine Heart
May 7, 2026 · Artificial Intelligence

Nvidia Endorses TokenSpeed: A Light‑Speed Agent Inference Engine Built in Two Months

TokenSpeed, an open‑source LLM inference engine designed for agent workloads, delivers TensorRT‑LLM‑level performance and vLLM‑level ease of use, outperforms TensorRT‑LLM by up to 11% throughput and halves latency on speculative decoding, and has earned Nvidia’s public recommendation.

Agent workloadsLLM InferenceNVIDIA Blackwell
0 likes · 8 min read
Nvidia Endorses TokenSpeed: A Light‑Speed Agent Inference Engine Built in Two Months
iQIYI Technical Product Team
iQIYI Technical Product Team
May 7, 2026 · Mobile Development

How iQIYI Cut Memory Peaks by 60% and Boost Animated Image Loading by 75% with Cangjie on HarmonyOS

iQIYI built a high‑performance image library for HarmonyOS using Huawei's Cangjie language, replacing ArkTS bottlenecks, adding AVIF support and a three‑level cache, and achieved over 60% reduction in memory peak usage and up to 75% faster animated‑image loading, as demonstrated by detailed benchmarks and architectural analysis.

AVIFCangjieHarmonyOS
0 likes · 13 min read
How iQIYI Cut Memory Peaks by 60% and Boost Animated Image Loading by 75% with Cangjie on HarmonyOS
dbaplus Community
dbaplus Community
May 5, 2026 · Artificial Intelligence

How Claude Transforms SQL Workloads in the Dewu App Data Warehouse

The article examines Claude Code's deep integration into Dewu's e‑commerce data warehouse, outlining a decoupled cognitive‑runtime architecture, standardized I/O contracts, concrete performance gains across tagging, modeling, reporting and testing, and a comprehensive risk‑governance framework.

AI Agentic WorkflowCode LLMPerformance Optimization
0 likes · 23 min read
How Claude Transforms SQL Workloads in the Dewu App Data Warehouse
Old Zhang's AI Learning
Old Zhang's AI Learning
May 5, 2026 · Artificial Intelligence

vLLM 0.20.1 Fixes Instability and Speed Issues for DeepSeek V4

The vLLM 0.20.1 patch, released shortly after 0.20.0, consolidates stability fixes and performance optimizations for DeepSeek V4, adds several bug fixes, updates installation instructions, and provides targeted upgrade recommendations for different user scenarios.

DeepSeek V4GPU inferencePerformance Optimization
0 likes · 9 min read
vLLM 0.20.1 Fixes Instability and Speed Issues for DeepSeek V4
SpringMeng
SpringMeng
May 2, 2026 · Artificial Intelligence

10 Essential AI Prompt Templates Every Programmer Needs

This article presents ten practical AI prompt templates that help programmers efficiently handle requirement clarification, unit test generation, code explanation, refactoring, exception troubleshooting, performance tuning, SQL creation, knowledge documentation, design review, and cross‑language translation, each illustrated with concrete examples and usage tips.

AI PromptingPerformance OptimizationSQL
0 likes · 13 min read
10 Essential AI Prompt Templates Every Programmer Needs
Architects' Tech Alliance
Architects' Tech Alliance
May 2, 2026 · Artificial Intelligence

Eight Chinese AI Chips Achieve Day‑Zero DeepSeek‑V4 Compatibility

The article explains how eight domestic AI chip makers—Huawei Ascend, Cambricon, HaiGuang, Moore Threads, Kunlun, Pingtouge, Muxi, and Tianshu—simultaneously completed full‑link compatibility, performance tuning, and stability verification for DeepSeek‑V4 on release day, detailing each vendor’s technical path, shared ecosystem breakthroughs, and the broader impact on the AI industry.

AI ChipsDay0 adaptationDeepSeek V4
0 likes · 11 min read
Eight Chinese AI Chips Achieve Day‑Zero DeepSeek‑V4 Compatibility
Wukong Talks Architecture
Wukong Talks Architecture
May 1, 2026 · Databases

How We Monitored and Optimized Databases During a New‑Old System Switch (Part 1)

During a high‑traffic migration where QPS peaked over 10,000, the team used DBDoctor to perform full‑stack database monitoring, pinpoint long‑running transactions and slow SQL, apply index recommendations, and achieve cost reductions of up to 246 000 times, demonstrating rapid, data‑driven performance optimization.

DBDoctorDatabase MonitoringIndex Recommendation
0 likes · 9 min read
How We Monitored and Optimized Databases During a New‑Old System Switch (Part 1)
IT Services Circle
IT Services Circle
May 1, 2026 · Artificial Intelligence

10 Essential AI Prompt Templates Every Programmer Should Use

The article presents ten practical AI prompt templates that cover the full software development workflow—from requirement clarification and code generation to testing, refactoring, debugging, performance tuning, SQL optimization, documentation, design review, and cross‑language translation—helping developers get accurate, production‑ready results from AI.

AI PromptingJavaPerformance Optimization
0 likes · 12 min read
10 Essential AI Prompt Templates Every Programmer Should Use
Woodpecker Software Testing
Woodpecker Software Testing
Apr 29, 2026 · Artificial Intelligence

Adversarial Testing Performance Optimization: A Practical Guide for Test Experts

As AI deployments accelerate, the article explains why adversarial testing is inherently slow, identifies three coupling bottlenecks, and presents a four‑stage, data‑driven optimization framework that boosts throughput by up to 3.2× while preserving robustness, backed by real‑world financial‑AI case studies.

AI robustnessPerformance Optimizationadversarial cache
0 likes · 7 min read
Adversarial Testing Performance Optimization: A Practical Guide for Test Experts
dbaplus Community
dbaplus Community
Apr 26, 2026 · Operations

Why the Lsof Command Is an Underrated Lifesaver in Production

The article explains how the Linux lsof utility can quickly identify port conflicts, lingering deleted files, and file‑handle leaks, offering practical commands, real‑world case studies, advanced options, performance tips, and integration techniques for effective system troubleshooting.

LinuxPerformance Optimizationfile handles
0 likes · 12 min read
Why the Lsof Command Is an Underrated Lifesaver in Production
Shi's AI Notes
Shi's AI Notes
Apr 24, 2026 · Backend Development

How OpenAI’s Responses API WebSocket Revamp Accelerates Agent Workflows by 40%

OpenAI identified API‑overhead as the new bottleneck after faster model inference and introduced a persistent WebSocket connection that caches conversation state, overlaps request phases, and preserves the original API shape, delivering up to a 40% end‑to‑end latency reduction and dramatically higher TPS.

Agent WorkflowBackendOpenAI
0 likes · 11 min read
How OpenAI’s Responses API WebSocket Revamp Accelerates Agent Workflows by 40%
Machine Heart
Machine Heart
Apr 24, 2026 · Artificial Intelligence

Cambricon Achieves Day‑0 Native Support for DeepSeek‑V4, Uniting Two Chinese AI Leaders

Cambricon leveraged its NeuWare stack and vLLM framework to deliver Day‑0 native support for DeepSeek‑V4‑flash (285 B) and DeepSeek‑V4‑pro (1.6 T), open‑sourcing the adaptation and showcasing rapid model migration alongside extreme performance optimizations across software and hardware layers.

AI inferenceCambriconDeepSeek-V4
0 likes · 5 min read
Cambricon Achieves Day‑0 Native Support for DeepSeek‑V4, Uniting Two Chinese AI Leaders
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Apr 24, 2026 · Artificial Intelligence

LoongForge: Open‑Source Multimodal Training Framework Runs on GPU and Kunlun XPU with 45% Speedup

LoongForge is an open‑source, Megatron‑based multimodal training framework that unifies LLM, VLM, VLA and diffusion models, runs seamlessly on NVIDIA GPUs and Baidu Kunlun XPU, and delivers 15%‑45% end‑to‑end training acceleration while scaling linearly on thousands of cards.

GPUKunlun XPULoongForge
0 likes · 23 min read
LoongForge: Open‑Source Multimodal Training Framework Runs on GPU and Kunlun XPU with 45% Speedup
Java Architect Handbook
Java Architect Handbook
Apr 22, 2026 · Backend Development

How Changing Five Lines of Code Boosted API Throughput Over 10×

A low‑traffic B2B service struggled to meet a 500 req/s demand, achieving only 50 req/s with high CPU usage; through systematic profiling, lock analysis, async refactoring, thread‑pool tuning, and eliminating costly Spring bean creation, the team dramatically improved response times and throughput, revealing deeper CPU‑usage mysteries.

JavaPerformance OptimizationProfiling
0 likes · 16 min read
How Changing Five Lines of Code Boosted API Throughput Over 10×
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Apr 20, 2026 · Cloud Computing

How Alibaba Cloud’s Agentic Search Redefines Enterprise AI Search

The article analyzes Alibaba Cloud Elasticsearch’s shift from keyword‑based to Agent‑native search, detailing the Agent Native architecture, hybrid retrieval 2.0, FalconSeek engine performance gains of up to 300%, cost reductions of 40‑70%, and the ecosystem of ES Skills, cloud‑native enhancements, and observability that together enable a scalable AI search platform for enterprises.

AI SearchAgentic ArchitectureCloud Computing
0 likes · 13 min read
How Alibaba Cloud’s Agentic Search Redefines Enterprise AI Search
Coder Trainee
Coder Trainee
Apr 19, 2026 · Backend Development

How to Optimize Performance and Deploy a Production‑Ready Blog System

This article walks through a complete performance‑optimization and deployment pipeline for a Spring Boot blog, covering multi‑level caching with Caffeine and Redis, database indexing and cursor pagination, read‑write splitting, asynchronous processing, rate limiting, Docker multi‑stage builds, Nginx reverse‑proxy setup, Actuator monitoring, custom metrics, health checks, alerting, JMeter load testing, and JVM tuning.

CaffeineDatabase IndexingDocker
0 likes · 17 min read
How to Optimize Performance and Deploy a Production‑Ready Blog System
Woodpecker Software Testing
Woodpecker Software Testing
Apr 18, 2026 · Operations

Deep Dive into Performance Optimization for Self‑Healing Test Scripts

The article examines why self‑healing test scripts increase runtime overhead, breaks down the underlying mechanisms, and presents four concrete optimization tactics—layered healing, locator caching, visual/semantic throttling, and asynchronous repair—backed by real‑world case data showing up to 43% faster regressions and 52% lower maintenance cost.

CI/CDDevOpsPerformance Optimization
0 likes · 8 min read
Deep Dive into Performance Optimization for Self‑Healing Test Scripts
Deepin Linux
Deepin Linux
Apr 18, 2026 · Fundamentals

Mastering Process Context Switching: What the CPU Actually Does

This article breaks down the fundamentals of process context switching, explaining CPU registers, program counters, the three-step switch routine, trigger conditions, performance impact, monitoring tools, and practical optimization techniques to help interview candidates answer confidently.

LinuxPerformance Optimizationcontext switch
0 likes · 29 min read
Mastering Process Context Switching: What the CPU Actually Does
ByteDance SE Lab
ByteDance SE Lab
Apr 17, 2026 · Industry Insights

How DisCoGC Cuts Storage Costs by 20%: A Deep Dive into ByteStore’s New GC Paradigm

This article analyzes the DisCoGC algorithm introduced by ByteDance, explaining how its discard‑centric garbage collection eliminates the write‑amplification vs. space‑amplification trade‑off in log‑structured storage, details the engineering challenges of multi‑layer deployment, and presents production results showing up to 20% TCO reduction without impacting latency.

Performance Optimizationcompactioncost reduction
0 likes · 19 min read
How DisCoGC Cuts Storage Costs by 20%: A Deep Dive into ByteStore’s New GC Paradigm
JD Tech
JD Tech
Apr 16, 2026 · Industry Insights

How JD Revolutionized Coupon Search with a Stream‑Batch Unified Architecture

This article analyzes JD's end‑to‑end upgrade of its retail coupon search infrastructure, detailing the business drivers, data‑skew challenges, the shift from dual KV and batch pipelines to a unified stream‑batch model built on Apache Doris, and the resulting performance, resource and stability gains across multiple scenarios.

Apache DorisBatch ProcessingCoupon Search
0 likes · 12 min read
How JD Revolutionized Coupon Search with a Stream‑Batch Unified Architecture
Ctrip Technology
Ctrip Technology
Apr 16, 2026 · Big Data

How Ray + DuckDB Cut 9B-Row Attribution Queries from 40s to 15s

When attribution analysis on over 900 million rows slowed to more than 40 seconds and threatened cluster stability, Ctrip's smart attribution team rebuilt the architecture with Ray and DuckDB, achieving sub‑15‑second query times, 160 % performance gain, and complete resource isolation.

Attribution AnalysisDistributed ComputingDuckDB
0 likes · 22 min read
How Ray + DuckDB Cut 9B-Row Attribution Queries from 40s to 15s
DataFunTalk
DataFunTalk
Apr 16, 2026 · Big Data

How Xiaohongshu Cut Data Architecture Costs by Two‑Thirds with Incremental Computing

This article details Xiaohongshu's data platform evolution from a simple ClickHouse‑based ad‑hoc system to a Lambda‑style architecture and finally a lakehouse solution, highlighting how the adoption of a new incremental computing model reduced architectural complexity, resource consumption and development effort each to roughly one‑third while delivering sub‑second query performance on petabyte‑scale data.

LakehousePerformance OptimizationXiaohongshu
0 likes · 21 min read
How Xiaohongshu Cut Data Architecture Costs by Two‑Thirds with Incremental Computing
Architect Chen
Architect Chen
Apr 16, 2026 · Big Data

Supercharge Kafka Consumer Performance: Parallelism, Batching, and Multithreading

This guide explains practical techniques to dramatically increase Kafka consumer throughput, including scaling consumer instances or partitions, tuning fetch and poll parameters, and implementing a multithreaded consumer model, while also covering hardware, JVM, and OS optimizations and monitoring recommendations.

Batch FetchKafkaPerformance Optimization
0 likes · 5 min read
Supercharge Kafka Consumer Performance: Parallelism, Batching, and Multithreading
Qborfy AI
Qborfy AI
Apr 16, 2026 · Artificial Intelligence

How Trace Analysis Turns AI Agents from Black Boxes into Optimized Systems

Trace analysis converts the opaque decision‑making of AI agents into observable data, enabling systematic collection, parallel error detection, targeted improvements, and iterative experimentation, while revealing common failure patterns, budgeting trade‑offs, over‑fitting risks, and cost‑optimization opportunities through a reusable Trace Analyzer Skill framework.

AILLMPerformance Optimization
0 likes · 33 min read
How Trace Analysis Turns AI Agents from Black Boxes into Optimized Systems
Woodpecker Software Testing
Woodpecker Software Testing
Apr 15, 2026 · Artificial Intelligence

How AI Testing Tools Redefine Performance Optimization: A New Paradigm

Amid exploding large‑model deployments, AI teams struggle with slow test feedback, but AI‑native testing tools—through intelligent load modeling, inference‑layer root‑cause analysis, and self‑healing loops—demonstrate concrete latency reductions, resource savings, and faster issue remediation.

AI testingMLOpsPerformance Optimization
0 likes · 6 min read
How AI Testing Tools Redefine Performance Optimization: A New Paradigm
Java Web Project
Java Web Project
Apr 15, 2026 · Backend Development

How We Cut Spring Boot Startup from 12 s to 3 s with GraalVM Native Image

This article walks through converting a Spring Boot order‑query microservice to a GraalVM Native Image, detailing environment setup, common build pitfalls with concrete code fixes, Docker multi‑stage packaging, K8s scaling comparison, performance benchmarks, CI/CD integration, and guidance on when Native Image is appropriate.

CI/CDDockerGraalVM
0 likes · 12 min read
How We Cut Spring Boot Startup from 12 s to 3 s with GraalVM Native Image
Tencent Technical Engineering
Tencent Technical Engineering
Apr 12, 2026 · Operations

How TencentOS Engineers Revamped Linux Swap for 5‑20% Performance Gains

This article translates and consolidates three LWN analyses of the Linux swap subsystem modernization led by TencentOS kernel engineer Kairui Song, detailing the introduction of swap tables, removal of the swap map, virtual swap concepts, code changes, performance improvements of up to 20 % and the broader impact on the kernel community.

Linux kernelPerformance Optimizationmemory management
0 likes · 27 min read
How TencentOS Engineers Revamped Linux Swap for 5‑20% Performance Gains
Deepin Linux
Deepin Linux
Apr 12, 2026 · Fundamentals

Why TLB Matters: Unlocking Linux Kernel Performance

This article explains the role of the Translation Lookaside Buffer (TLB) in Linux virtual‑memory translation, covering basic address concepts, page‑table mechanics, TLB operation, flush and synchronization strategies, hardware vs software management, Linux kernel APIs, and a practical C benchmark comparing sequential and random memory accesses.

Operating SystemsPerformance OptimizationTLB
0 likes · 36 min read
Why TLB Matters: Unlocking Linux Kernel Performance
Old Zhang's AI Learning
Old Zhang's AI Learning
Apr 11, 2026 · Artificial Intelligence

Mastering SGLang: KV Cache and RadixAttention for Faster LLM Inference

This article reviews the DeepLearning.ai short course on SGLang, explains why large‑language‑model inference is slow, details how KV Cache reduces the computation from O(n²) to O(n), introduces RadixAttention for cross‑request caching, and presents code examples and benchmark results showing up to 10× speedup in real‑world RAG scenarios.

KV CacheLLM InferencePerformance Optimization
0 likes · 13 min read
Mastering SGLang: KV Cache and RadixAttention for Faster LLM Inference
ITPUB
ITPUB
Apr 10, 2026 · Backend Development

How a Simple Refactor and Parallelism Cut Java Loop Time from 26s to 0.7s

A new team member transformed a painfully slow Java data‑processing routine—originally taking 26,856 ms—by refactoring nested loops, extracting repeated calculations, and introducing a thread‑pool for parallel execution, reducing runtime to just 748 ms, and the article walks through the before‑and‑after code and key techniques.

JavaPerformance OptimizationThread Pool
0 likes · 8 min read
How a Simple Refactor and Parallelism Cut Java Loop Time from 26s to 0.7s
Woodpecker Software Testing
Woodpecker Software Testing
Apr 10, 2026 · Operations

How Adversarial Testing Drives Hidden Performance Gains

Adversarial testing transforms performance optimization by injecting extreme, realistic failures—such as cache avalanches, CDN outages, or slow SQL—to expose fragile boundaries, tighten observability, and create a rapid, evidence‑driven feedback loop that prevents costly production incidents.

Performance Optimizationadversarial testingchaos engineering
0 likes · 8 min read
How Adversarial Testing Drives Hidden Performance Gains
DataFunTalk
DataFunTalk
Apr 10, 2026 · Big Data

How Xiaohongshu Cut Data Architecture Costs by Two‑Thirds with Incremental Computing

This article analyzes Xiaohongshu's data platform evolution—from a simple ClickHouse‑based analytics layer to a Lambda architecture and finally a lakehouse design—highlighting how adopting a new incremental computing model reduced architecture complexity, resource consumption, and development effort each to roughly one‑third while delivering sub‑second query performance on petabyte‑scale data.

LakehousePerformance OptimizationXiaohongshu
0 likes · 22 min read
How Xiaohongshu Cut Data Architecture Costs by Two‑Thirds with Incremental Computing
Cloud Architecture
Cloud Architecture
Apr 8, 2026 · Backend Development

Practical Guide to Optimizing Nginx for High Concurrency and Troubleshooting

This comprehensive guide explains how to design capacity, tune Linux and Nginx parameters, configure production‑grade settings, manage upstream connection pools, handle container and Kubernetes deployments, and systematically troubleshoot 502, 504, 499, and other high‑traffic failures.

High ConcurrencyKubernetesLinux Tuning
0 likes · 47 min read
Practical Guide to Optimizing Nginx for High Concurrency and Troubleshooting
Black & White Path
Black & White Path
Apr 8, 2026 · Artificial Intelligence

Run Massive AI Models on a Single PC: The 1‑Bit LLM Revolution

Microsoft’s open‑source bitnet.cpp transforms 100‑billion‑parameter LLM inference from GPU‑only to ordinary CPUs by replacing floating‑point matrix multiplication with integer add‑subtract, cutting energy use by 82 %, memory by 90 % and delivering up to 6× speed on x86/ARM hardware.

1-bit LLMBitNetCPU inference
0 likes · 7 min read
Run Massive AI Models on a Single PC: The 1‑Bit LLM Revolution
JavaGuide
JavaGuide
Apr 7, 2026 · Information Security

Why Brute‑Force Won’t Cut It for Sensitive‑Word Filtering (And What Actually Works)

The article walks through the evolution of sensitive‑word filtering—from naïve brute‑force scanning to Trie, Aho‑Corasick automaton, Double‑Array Trie, and DFA implementations—detailing their algorithms, time/space complexities, concrete Java code examples, performance trade‑offs, high‑concurrency optimizations, and practical production advice for building a robust content‑moderation system.

Aho-CorasickDFAJava
0 likes · 26 min read
Why Brute‑Force Won’t Cut It for Sensitive‑Word Filtering (And What Actually Works)
James' Growth Diary
James' Growth Diary
Apr 6, 2026 · Artificial Intelligence

10 Practical LangChain Performance Hacks to Speed Up and Cut Costs

This article presents ten concrete techniques—including in‑memory and Redis caching, semantic caching, parallel execution, batch processing, prompt compression, model routing, streaming output, and connection‑pool reuse—to dramatically reduce latency and token costs in production LangChain applications.

CachingLangChainNode.js
0 likes · 14 min read
10 Practical LangChain Performance Hacks to Speed Up and Cut Costs
ITPUB
ITPUB
Apr 2, 2026 · Operations

Why Your SSD Slows Down Over Time and How to Fix It on Linux

This guide explains the reasons behind SSD performance degradation, such as write‑amplification and garbage collection, and provides practical Linux techniques—including enabling TRIM, maintaining free space, reducing unnecessary writes, and using smartctl—to restore and preserve SSD speed.

LinuxPerformance OptimizationSSD
0 likes · 6 min read
Why Your SSD Slows Down Over Time and How to Fix It on Linux
Thought Artisan
Thought Artisan
Apr 2, 2026 · Fundamentals

Technical Briefing #4 2026: Kernel Memory Leaks, THP Latency, Linked Lists & Android Internals

This technical briefing curates ten deep-dive articles covering Linux kernel memory leaks, Transparent Huge Pages latency pitfalls, linked list performance on modern hardware, Android AutoFDO optimization, memory consistency debugging, PageCache internals, DMA-BUF zero-copy architecture, and mutex/futex priority inheritance traps.

Android internalsAutoFDODMA-BUF
0 likes · 6 min read
Technical Briefing #4 2026: Kernel Memory Leaks, THP Latency, Linked Lists & Android Internals
Tencent Architect
Tencent Architect
Apr 2, 2026 · Operations

How Modernizing Linux Swap Boosts Performance and Cuts Memory Overhead

This article translates and consolidates Jonathan Corbet’s three-part “Modernizing swapping” series, detailing the introduction of swap tables, removal of swap maps, and virtual swap concepts that together improve Linux kernel swap performance by up to 20%, reduce metadata memory by up to 30%, and simplify the codebase.

Linux kernelPerformance Optimizationswap map
0 likes · 27 min read
How Modernizing Linux Swap Boosts Performance and Cuts Memory Overhead
TonyBai
TonyBai
Apr 1, 2026 · Backend Development

How a $400 AI‑Driven Rewrite of JSONata Saved $500K in Kubernetes Costs

Using AI agents, an engineer rewrote the JavaScript‑based JSONata engine in Go within a day for $400 in token fees, cutting a Kubernetes‑hosted service’s annual cost from $500,000 to zero and delivering up to 1,500× performance gains, while outlining the step‑by‑step AI‑driven refactoring process.

AI‑Driven RefactoringJSONataKubernetes
0 likes · 10 min read
How a $400 AI‑Driven Rewrite of JSONata Saved $500K in Kubernetes Costs
AI Architecture Path
AI Architecture Path
Apr 1, 2026 · Frontend Development

How Pretext Eliminates DOM Reflows for Ultra‑Fast Text Measurement

Pretext, a zero‑DOM, high‑performance text measurement engine created by React core contributor chenglou, uses Canvas‑based calculations and a two‑stage prepare/layout workflow to avoid layout reflows, delivering up to 500× speed gains for virtual scrolling, rich‑text rendering, and AI‑driven UI layout predictions.

Performance OptimizationPretexttext measurement
0 likes · 7 min read
How Pretext Eliminates DOM Reflows for Ultra‑Fast Text Measurement
Ubuntu
Ubuntu
Mar 31, 2026 · Operations

Master Systemd Service Management: From Basics to Advanced Linux Skills

This comprehensive guide walks you through Systemd fundamentals, core systemctl commands, unit file anatomy, custom service creation, common troubleshooting, performance tuning, timer and socket activation, and best‑practice security hardening for Linux administrators.

LinuxPerformance OptimizationService Management
0 likes · 18 min read
Master Systemd Service Management: From Basics to Advanced Linux Skills
Data Integration and Governance
Data Integration and Governance
Mar 30, 2026 · Big Data

A Clear Explanation of Data Middle Platforms: Design, Build, Avoid Pitfalls

The article defines a data middle platform as a unified capability that continuously aggregates, governs, and serves enterprise data, outlines its six‑module architecture, details practical technology choices, governance steps, performance optimizations, and a four‑stage implementation roadmap, and warns against common pitfalls such as business‑tech misalignment and neglect of unstructured data.

Data IntegrationPerformance Optimizationbig data
0 likes · 13 min read
A Clear Explanation of Data Middle Platforms: Design, Build, Avoid Pitfalls
Deepin Linux
Deepin Linux
Mar 28, 2026 · Fundamentals

Unlocking Linux Performance: A Deep Dive into NUMA Architecture

This article explains the core principles of NUMA, its deep integration with the Linux kernel, practical memory‑node and scheduling mechanisms, real‑world database and virtualization use cases, and step‑by‑step commands for inspecting and tuning NUMA on modern servers.

Linux kernelNUMAPerformance Optimization
0 likes · 23 min read
Unlocking Linux Performance: A Deep Dive into NUMA Architecture
vivo Internet Technology
vivo Internet Technology
Mar 25, 2026 · Industry Insights

How Vivo Scaled Marketing Automation with Presto, Bitmap, and StarRocks

This case study details how Vivo’s marketing automation platform evolved its data‑driven architecture—from a Presto‑based wide‑table design, through a Bitmap optimization, to a StarRocks migration—addressing performance bottlenecks, reducing resource costs, and enhancing data security.

BitmapOLAPPerformance Optimization
0 likes · 11 min read
How Vivo Scaled Marketing Automation with Presto, Bitmap, and StarRocks
Top Architect
Top Architect
Mar 25, 2026 · Backend Development

Boost API Performance 10× with a Three‑Tier Cache Pyramid in Spring Boot 3

This article explains how to design and implement a three‑level cache pyramid (Caffeine → Redis → MySQL) in Spring Boot 3, covering configuration, a reusable CacheTemplate, hot‑key handling, random TTL, warm‑up, monitoring, and load‑test results that show latency dropping from tens of milliseconds to a few milliseconds while cutting CPU and network usage dramatically.

CachingCaffeineJava
0 likes · 11 min read
Boost API Performance 10× with a Three‑Tier Cache Pyramid in Spring Boot 3
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 25, 2026 · Databases

How AliSQL AI Diagnoses and Eliminates MySQL Replication Lag

This article analyzes the severe replication‑delay issues in MySQL master‑slave setups, identifies four typical workload patterns that cause lag, demonstrates how AliSQL's AI assistant pinpoints the root causes, and explains the kernel‑level optimizations that completely remove the delay.

AI diagnosisAliSQLMySQL
0 likes · 13 min read
How AliSQL AI Diagnoses and Eliminates MySQL Replication Lag
AI Explorer
AI Explorer
Mar 23, 2026 · Artificial Intelligence

How Unsloth Studio Turns Local AI Training into a Simple, High‑Performance Experience

Unsloth Studio, an open‑source local AI studio, combines a sleek web UI with a custom Triton kernel that claims up to 2× faster training, 70% VRAM savings (80% for RL), supports over 500 models, visual data‑recipe workflows, and both desktop and Python library usage for developers, researchers, and hobbyists.

AI StudioPerformance OptimizationUnsloth
0 likes · 7 min read
How Unsloth Studio Turns Local AI Training into a Simple, High‑Performance Experience
Baidu Geek Talk
Baidu Geek Talk
Mar 23, 2026 · Databases

How Baidu’s MEG Platform Revamped ClickHouse with a Lakehouse Architecture

This article analyzes the challenges of scaling ClickHouse within Baidu’s MEG data platform and details a lake‑house solution that decouples storage and compute, integrates a meta‑service for transparent data access, optimizes query performance through caching, data roll‑up and layout tuning, and introduces a unified query gateway that gracefully falls back to Spark for complex workloads.

ClickHouseLakehousePerformance Optimization
0 likes · 25 min read
How Baidu’s MEG Platform Revamped ClickHouse with a Lakehouse Architecture
Architect's Guide
Architect's Guide
Mar 20, 2026 · Backend Development

How We Cut 1‑Second Query Times in a Legacy WAF Dashboard Using Redis Caching

Facing slow page loads in a legacy WAF reporting system, we dissected a 1000‑line Java method, introduced hourly aggregation, Redis auto‑increment counters, and scheduled synchronization, eliminating costly SQL scans and achieving sub‑second queries on 1.5 million logs, while outlining remaining optimization opportunities.

Data ArchivingJavaPerformance Optimization
0 likes · 12 min read
How We Cut 1‑Second Query Times in a Legacy WAF Dashboard Using Redis Caching
JD Tech Talk
JD Tech Talk
Mar 17, 2026 · Backend Development

How to Build a MyBatis Plugin that Shields Databases from Sudden Traffic Spikes

This article explains the challenges of sudden traffic bursts on applications and databases, outlines a MyBatis plugin design that intercepts SQL, uses fingerprint‑based throttling with configurable policies, and details the development, optimization, testing, and documentation steps performed with pair‑programming assistance.

MyBatisPerformance OptimizationSQL interceptor
0 likes · 9 min read
How to Build a MyBatis Plugin that Shields Databases from Sudden Traffic Spikes
LuTiao Programming
LuTiao Programming
Mar 14, 2026 · Backend Development

Why Your Spring Boot App Freezes at One Million Records – 5 Proven Techniques to Double Performance

When a Spring Boot application reaches millions of rows, it often suffers from OutOfMemoryErrors, slow queries, and high CPU, but by applying five proven strategies—pagination, streaming, batch processing, indexing, and asynchronous execution—you can halve memory usage and achieve up to ten‑fold speed gains.

Asynchronous ExecutionBatch ProcessingPerformance Optimization
0 likes · 11 min read
Why Your Spring Boot App Freezes at One Million Records – 5 Proven Techniques to Double Performance
Architecture & Thinking
Architecture & Thinking
Mar 13, 2026 · Databases

Why MySQL Deep Pagination Slows Down Your E‑commerce Site and How to Fix It

The article explains how deep pagination on massive MySQL tables causes full‑table scans, massive I/O, and memory pressure, then presents six concrete optimization techniques—including delayed join, cursor pagination, covering indexes, ID‑range pagination, caching, and partitioning—backed by a real‑world e‑commerce case study and detailed execution‑plan analysis.

Deep PaginationMySQLPerformance Optimization
0 likes · 18 min read
Why MySQL Deep Pagination Slows Down Your E‑commerce Site and How to Fix It
Cloud Architecture
Cloud Architecture
Mar 10, 2026 · Backend Development

Spring Boot Built-in Filters Explained: Usage, Customization, and Performance Tips

This article provides a comprehensive guide to Spring Boot's built-in servlet filters, shows how to implement custom filters using the Filter interface, OncePerRequestFilter, and FilterRegistrationBean, explains filter ordering and configuration, and presents practical scenarios with performance‑optimisation best practices.

Custom FiltersPerformance OptimizationServlet Filters
0 likes · 34 min read
Spring Boot Built-in Filters Explained: Usage, Customization, and Performance Tips
Woodpecker Software Testing
Woodpecker Software Testing
Mar 10, 2026 · Operations

Uncovering Test Data Generation Bottlenecks and Proven Ways to Accelerate CI Pipelines

The article examines why traditional manual or full‑backup test data creation becomes a performance bottleneck in modern micro‑service, TB‑scale environments, identifies three structural imbalances—data‑dependency, generation‑logic, and semantic redundancy—and presents a three‑layered optimization framework plus engineering best‑practices that can cut data‑prep time by up to 68%.

AutomationCI/CDPerformance Optimization
0 likes · 8 min read
Uncovering Test Data Generation Bottlenecks and Proven Ways to Accelerate CI Pipelines
Code Wrench
Code Wrench
Mar 8, 2026 · Artificial Intelligence

How to Build Low‑Latency AI‑Powered Video Calls with Go and WebRTC

This article breaks down the latency challenges of combining AI with WebRTC, compares edge and cloud processing architectures, and provides a detailed Go‑based implementation—including RTP interception, AI model integration, real‑time translation pipelines, and performance optimizations—for ultra‑responsive video conferencing.

AIGoPerformance Optimization
0 likes · 7 min read
How to Build Low‑Latency AI‑Powered Video Calls with Go and WebRTC
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Mar 5, 2026 · Artificial Intelligence

Mamba’s SSD Framework Shatters Serial Bottleneck, Outperforms vLLM and SGLang

The new Speculative Speculative Decoding (SSD) framework, built by the Mamba and FlashAttention authors, eliminates the serial draft‑verification bottleneck in LLM inference by running the draft model asynchronously, introducing a speculation cache and the Saguaro algorithm, which together deliver up to 5× speedup over autoregressive baselines and up to 2× over optimized engines on Llama‑3 and Qwen‑3, reshaping the latency‑throughput trade‑off.

Asynchronous ParallelismLLM InferencePerformance Optimization
0 likes · 9 min read
Mamba’s SSD Framework Shatters Serial Bottleneck, Outperforms vLLM and SGLang
StarRocks
StarRocks
Mar 5, 2026 · Big Data

How Fanatics Scaled to PB‑Level Data with StarRocks & Apache Iceberg Lakehouse

Fanatics unified its fragmented data stack by building a StarRocks‑powered Lakehouse on Apache Iceberg, replacing Redshift, Snowflake, Athena, and Druid, which cut costs by up to 95%, delivered sub‑second dashboard queries on petabyte‑scale data, and enabled real‑time and historical analytics on a single platform.

Apache IcebergFanaticsLakehouse
0 likes · 10 min read
How Fanatics Scaled to PB‑Level Data with StarRocks & Apache Iceberg Lakehouse
DeWu Technology
DeWu Technology
Mar 4, 2026 · Backend Development

How the Multiplicative Tree Framework Enables Instant Formula Deployment and Stable High‑Performance Ranking

The article details the design and evolution of the Multiplicative Tree framework—from version 1.0 to 3.0—showing how a DSL‑based, compile‑time‑checked configuration system delivers instant formula deployment, robust stability safeguards, and significant performance gains for multi‑objective ranking models.

Algorithm EngineeringC++DSL
0 likes · 18 min read
How the Multiplicative Tree Framework Enables Instant Formula Deployment and Stable High‑Performance Ranking
Woodpecker Software Testing
Woodpecker Software Testing
Mar 4, 2026 · Artificial Intelligence

Deep Dive into Adversarial Testing Performance Optimization for AI Systems

The article examines Adversarial Testing Performance Optimization (ATPO) as a new industrial-quality paradigm, detailing how adversarial samples expose hidden performance bottlenecks across AI pipelines, presenting three typical adversarial loads with corresponding optimization targets, common implementation pitfalls, and emerging intelligent approaches using reinforcement learning and digital twins.

AI pipelinesPerformance Optimizationadversarial testing
0 likes · 8 min read
Deep Dive into Adversarial Testing Performance Optimization for AI Systems
Code Wrench
Code Wrench
Mar 4, 2026 · Backend Development

How to Build a 50‑Player Real‑Time Battle Server in Go: Architecture & Performance

This article explains how to design a Go‑based backend for a 50‑player real‑time battle game, covering concurrency models, GC tuning, matching algorithms, fixed‑frame loops, AOI optimization, KCP networking, and performance‑boosting techniques such as object pooling and command batching.

Game BackendGoPerformance Optimization
0 likes · 8 min read
How to Build a 50‑Player Real‑Time Battle Server in Go: Architecture & Performance
JD Cloud Developers
JD Cloud Developers
Mar 3, 2026 · Mobile Development

How to Integrate AI into Mobile Apps Without Sacrificing User Experience

This article examines the practical challenges of adding AI features to mobile clients, highlighting device fragmentation, performance trade‑offs, user pain points, and a layered approach that balances lightweight models, graceful degradation, and edge‑cloud collaboration to keep the experience smooth for the majority of users.

AI integrationAR gesturesMobile Development
0 likes · 15 min read
How to Integrate AI into Mobile Apps Without Sacrificing User Experience
LuTiao Programming
LuTiao Programming
Mar 2, 2026 · Backend Development

How a Targeted Java Refactor Delivered a 10× Performance Boost

By profiling a three‑year‑old order service and applying six data‑driven optimizations—including log reduction, object‑allocation cuts, HashMap replacement, Java 21 virtual threads, JSON caching, and ZGC tuning—the team achieved a 9.5× throughput increase and a ten‑fold drop in P99 latency.

Eclipse CollectionsGC TuningJava
0 likes · 8 min read
How a Targeted Java Refactor Delivered a 10× Performance Boost
Old Zhang's AI Learning
Old Zhang's AI Learning
Feb 28, 2026 · Artificial Intelligence

How OpenAI Engineers Leverage Codex: 6 Proven Best Practices

The article reveals how OpenAI’s engineering teams integrate Codex into daily workflows, detailing seven core application scenarios—from code understanding and refactoring to performance optimization and flow maintenance—and presents six concrete best‑practice guidelines for maximizing AI‑assisted development efficiency.

AI code generationCodexPerformance Optimization
0 likes · 7 min read
How OpenAI Engineers Leverage Codex: 6 Proven Best Practices
Woodpecker Software Testing
Woodpecker Software Testing
Feb 28, 2026 · Operations

Boost Large Language Model Testing Performance: Essential Strategies for Test Engineers

The article outlines four engineering‑driven approaches—layered test granularity, cache‑driven golden sample pools, lightweight evaluation proxies, and test‑as‑code with resource‑aware scheduling—to dramatically cut LLM testing latency, improve reliability, and lower costs, illustrated with real‑world banking, government, and medical case studies.

CI/CDEvaluation ProxyLarge Language Models
0 likes · 8 min read
Boost Large Language Model Testing Performance: Essential Strategies for Test Engineers
Woodpecker Software Testing
Woodpecker Software Testing
Feb 27, 2026 · Artificial Intelligence

How Test Experts Can Accelerate Model Evaluation and Boost Performance

The article analyzes why over 73% of AI projects stall during model evaluation and presents three optimization paths—low‑latency pipelines, multidimensional bias diagnostics, and lightweight online probes—that together cut evaluation time by up to 13× and improve fault detection from hours to seconds.

AI testingPerformance Optimizationmodel evaluation
0 likes · 6 min read
How Test Experts Can Accelerate Model Evaluation and Boost Performance
PaperAgent
PaperAgent
Feb 27, 2026 · Artificial Intelligence

How DualPath Eliminates Storage Bandwidth Bottlenecks in Agentic LLM Inference

This article analyzes the DualPath architecture that redesigns KV‑Cache data paths to overcome storage‑NIC saturation in Prefill‑Decode LLM systems, presenting theoretical proofs, detailed engineering solutions, and extensive offline and online benchmarks that demonstrate up to 2.25× performance gains.

DualPathLLM InferencePerformance Optimization
0 likes · 9 min read
How DualPath Eliminates Storage Bandwidth Bottlenecks in Agentic LLM Inference
Raymond Ops
Raymond Ops
Feb 26, 2026 · Operations

What Core Skills Do 500k‑CNY Ops Engineers Master?

This article breaks down the essential technical and soft‑skill competencies—ranging from deep Linux kernel knowledge and database optimization to cloud‑native Kubernetes expertise, observability, automation, cost‑saving architecture, and security—that distinguish high‑salary operations engineers and provides a practical roadmap for achieving them.

KubernetesPerformance Optimizationdatabase
0 likes · 38 min read
What Core Skills Do 500k‑CNY Ops Engineers Master?
Linux Tech Enthusiast
Linux Tech Enthusiast
Feb 26, 2026 · Operations

A Comprehensive Guide to Linux Performance Optimization

This article walks through Linux performance optimization by explaining core metrics such as throughput and latency, describing how to interpret average load, CPU usage, context switches, memory management, and swap, and showing step‑by‑step usage of tools like vmstat, pidstat, perf, and dstat with concrete command examples and analysis cases.

CPULinuxMonitoring Tools
0 likes · 37 min read
A Comprehensive Guide to Linux Performance Optimization