This article explains the trade‑offs between pull and push models, why Go is chosen for a high‑concurrency WebSocket server, provides complete Go and HTML code examples, and details architectural and performance optimizations needed to support millions of simultaneous connections and messages per second.
This guide explains MySQL's transaction architecture—from the ACID properties and their implementation with undo/redo logs and MVCC, through isolation levels and common concurrency anomalies, to detailed lock types, deadlock detection, and practical performance‑tuning strategies.
This article provides a comprehensive, business‑driven analysis of the Data Warehouse Service (DWS) layer, covering its core positioning, design goals, modeling and aggregation tactics, storage optimizations, typical challenges with practical solutions, and best‑practice recommendations for building efficient, cost‑effective data services.
This article explains how separating static and dynamic traffic with Nginx, configuring precise location rules, cache headers, and kernel optimizations can increase throughput by three to five times in high‑concurrency web architectures while reducing backend load and improving maintainability.
The article explains why modern CPUs, even single‑core ones, can run multiple threads by using short time slices, hyper‑threading hardware, and context‑switch mechanisms, and it discusses the costs, Linux monitoring tools, scheduling strategies, and practical ways to reduce switching overhead.
This article recounts how Baidu's storage team tackled the performance and scalability limits of traditional object storage by redesigning metadata handling with the Mantle and MantleX architectures, introducing a centralized IndexNode, strong consistency, delta‑record writes, and a seamless single‑node to distributed transition for massive file systems.
A playful yet thorough guide walks aspiring system architects through core responsibilities, computer fundamentals, data structures, database design, architectural patterns, performance tuning, project management, and exam strategies, using everyday analogies and concrete exam points to demystify the certification process.
This article details Xiaohongshu's RedSQL MySQL kernel project, describing three major solutions—high‑throughput seckill optimization, a Binlog Server‑based zero‑data‑loss replication scheme, and second‑level DDL column addition—along with additional kernel enhancements that together delivered multi‑fold performance gains and improved stability.
This guide explains how to integrate the Hera log platform into SpringBoot applications, covering architecture, Maven dependencies, YAML configuration, custom field providers, trace enablement, console usage, performance tuning, high‑availability design, and common pitfalls to dramatically improve log‑search efficiency in distributed systems.
This article walks through a real‑world data‑migration case where 100,000 rows were moved from an old system to a new one, showing how naive per‑row inserts took five minutes and how a series of optimizations—batch SQL, JDBC batch mode, and multithreaded parallelism—reduced the runtime to just three seconds, while also covering common pitfalls and the final high‑performance implementation.
This article explains the principles of Java virtual threads, compares them with traditional platform threads, details RedJDK21’s implementation and performance improvements—including up to 31‑fold latency reduction and 24% CPU savings—in large‑scale services at XiaoHongShu, and discusses migration challenges, lock handling, monitoring, and future roadmap.
The article walks through three concrete optimizations—batch SQL, JDBC batch mode with rewriteBatchedStatements, and multithreaded parallel inserts—that shrink a 100,000‑row MyBatis insertion from five minutes to three seconds, while highlighting configuration details, performance gains, and common pitfalls.
The article walks through turning a naïve MyBatis loop that took five minutes to insert 100,000 rows into a high‑performance solution that finishes in three seconds by applying batch SQL, JDBC batch mode with rewriteBatchedStatements, and multithreaded parallel execution, while highlighting pitfalls and best‑practice configurations.
This article presents the parallel evaluation design pattern for AI agents, showing how multiple specialist critics can assess content concurrently, how a chief editor aggregates structured feedback using Pydantic models and LangGraph, and demonstrates a 52% latency reduction compared with sequential execution through concrete code examples and performance analysis.
This article explains how Nginx can separate static assets from dynamic requests using location rules and reverse‑proxying, provides a complete configuration example, and details the performance gains from zero‑copy file serving, gzip compression, caching headers, and CDN integration.
This technical briefing curates 14 deep-dive articles covering AI agent evaluation methodologies, real-world task benchmarking, Google engineering lessons, Rust vs C assembly performance, MCP tool calling internals, structured logging design, minimalist agent architectures, Codex agent internals, historical developer replacement attempts, observability evolution, vLLM memory leak debugging, hotspot optimization pitfalls, and LLM non-determinism root causes.
This article explains the core principles of memory alignment on Linux, shows how misaligned data harms CPU cache and execution speed, provides concrete C code examples and benchmark results, and offers practical techniques—including compiler directives and struct layout tricks—to achieve optimal performance.
This guide walks through ten practical techniques—startup lazy initialization, scoped component scanning, selective auto‑configuration, async processing, connection‑pool tuning, JPA batch settings, multi‑level caching, multi‑stage Docker builds, JVM container‑aware flags, Tomcat thread tuning, Resilience4j, observability stack, and TDD—to diagnose and eliminate performance bottlenecks in Spring Boot applications.
Starbucks China’s logging team migrated several petabytes of logs from legacy VM‑based Elasticsearch clusters to a cloud‑native bare‑metal Kubernetes platform, upgrading ES from 7.x to 8.x, containerizing components, optimizing storage and Kafka, and achieving up to 80% query speed gains, 30% CPU reduction, and 200% write‑throughput improvement.
This article details implementing a high-performance line art extraction feature in HarmonyOS using ArkTS, covering grayscale conversion, differential edge detection, efficient pixel buffer access, sketch and comic style rendering, and time-sliced chunk processing to prevent UI freezes on large images.
This article walks through constructing a multi‑step AI comic‑generation agent using the LangGraphGo framework and the GoSkills plugin system, covering architecture design, declarative tool definitions, automatic configuration discovery, parameter conversion, code implementation, common pitfalls, best practices, and performance optimizations.
This comprehensive guide explains why traditional I/O models become bottlenecks in high‑performance computing, introduces the modern io_uring framework with its submission and completion queues, walks through its design goals, core concepts, workflow, performance comparisons, optimization tips, real‑world use cases, and provides complete C examples for practical adoption.
This article explains the challenges of accurate RED metric collection in high‑traffic microservices, compares head‑based and tail‑based sampling, and details Volcano Engine APMPlus's multi‑level, hash‑routed tail sampling design, performance optimizations, and real‑world evaluation results.
The article analyzes why the first OpenFeign call in micro‑service systems incurs seconds of latency, breaks down five root causes such as lazy client initialization, dynamic proxy creation, load‑balancer cold start, network handshake, and hidden dependencies, and provides concrete verification steps and four practical optimizations to move the cost to application start‑up.
TCP is a connection‑oriented, reliable, byte‑stream transport protocol; this article explains its header fields, state diagram, three‑way handshake, four‑way termination, TIME_WAIT handling, optimization techniques, and contrasts it with UDP, providing detailed Linux commands and kernel parameters.
This article explains how the zzChromeTools Chrome extension tackles the often‑overlooked “invisible time killers” in frontend development by injecting AOP‑style hooks into the main world, capturing beacon requests, and presenting them in a lightweight DevTools panel, dramatically reducing cognitive load and debugging time.
This article walks Go developers through the fundamentals of GPU architecture and CUDA, demonstrates a complete CGO‑based matrix‑multiplication project, offers performance‑tuning tips such as minimizing PCIe transfers and leveraging shared memory, and presents a PureGo alternative for seamless Go‑GPU integration.
The article details a MySQL kernel‑level merged‑seckill optimization that replaces traditional queue‑based flash‑sale handling, achieving up to 5.5× higher TPS (up to 23,543 TPS on 128 threads) and sustaining 1.5W+ orders per second, while remaining transparent to applications and preserving compatibility with existing SQL.
This article shares the complete development journey of PromptTuner, a HarmonyOS 6 native app for prompt discovery, optimization, and management, covering architecture, ArkUI declarative UI patterns, state management, API abstraction, local analytics, privacy compliance, and performance optimization techniques with concrete code examples and metrics.
This article explains why a naïve full‑table UPDATE on massive MySQL tables can cripple replication, explores deep‑pagination and IN‑clause inefficiencies, and presents a batch‑processing strategy using NO_CACHE, FORCE INDEX, and rate‑controlled scripts to perform safe, high‑performance updates.
The HarmonyOS version of Liulishuo English integrated the co-built ImageKnifePro library, solving high-concurrency rendering bottlenecks, OOM risks, and cross-platform migration challenges, achieving 40% faster first-load times, sub-50ms cached loads, 30% fewer duplicate downloads, 20% lower memory usage, and 30% less migration code.
Vercel has open‑sourced a structured "react‑best‑practices" Skill that encodes ten years of React and Next.js performance wisdom, prioritizes eight categories from critical waterfall‑flow elimination to low‑impact tweaks, and equips AI agents to automatically avoid common inefficiencies such as unnecessary bundle bloat and async‑await pitfalls.
This article dissects the five most common pitfalls when transitioning from DWD to DWS aggregation tables—such as chimney‑style designs, over‑wide tables, grain mismatches, missing drill‑down keys, and performance neglect—and offers concrete, production‑ready solutions to create reusable, efficient, and cost‑effective data‑warehouse layers.
By combining a local Caffeine cache, a remote Redis layer, and a MySQL database into a three‑tier cache pyramid, this guide shows how to reduce API response time from 28 ms to 2 ms, cut CPU usage by 35 %, and achieve up to 14‑fold performance gains, complete with configuration, code, and monitoring tips.
This article explains how to use Linux's built‑in cgroups and taskset tools to monitor, limit, and bind process workloads, providing detailed commands, subsystem explanations, collaborative usage strategies, real‑world case studies, and troubleshooting tips for improving system performance and stability.
This article walks through practical steps to speed up LTX‑2 AI video generation—enabling the NVFP4 model, updating NVIDIA drivers and CUDA, using FP8 text encoders, and applying a custom prompt‑optimizing assistant—showing memory savings, sub‑minute rendering at 1280×720, and noticeable quality gains.
This guide presents a comprehensive, step‑by‑step roadmap for accelerating slow SQL queries without altering the original statements, covering index creation, database parameter tuning, table partitioning, caching layers, read‑write splitting, sharding, statistics updates, hardware choices, and middleware routing.
This article explains how Alibaba Cloud CloudMonitor 2.0 integrates SysOM intelligent diagnosis to automatically detect, analyze, and remediate I/O anomalies in multi‑tenant cloud environments, detailing the architecture, dynamic threshold algorithm, anomaly‑trigger logic, and real‑world case studies.
The article shows how ChatGPT examines JMeter load‑test results, identifies CPU, database and I/O bottlenecks, and then proposes concrete optimizations such as adding indexes, tuning HikariCP pool settings, caching, code refactoring, and monitoring to improve login throughput and latency.
In just two days, Baidu Baige and Kunlun's engineers extended the vLLM‑Kunlun Plugin to overcome asymmetric KV dimensions and integrate SWA+Sink attention, achieving lossless, high‑performance inference of the MiMo Flash V2 model on the Kunlun P800 XPU.
A developer shares technical insights from building 'Light Meal,' a cross-device health diet app on HarmonyOS 6, covering declarative UI with ArkUI, @ComponentV2 state management, performance optimizations cutting startup time 40%, service cards boosting daily active users 20%, and fine-grained permissions raising consent rates to 85%.
The article explains why adding Redis alone often remains slow, introduces a three‑level cache pyramid (L1 Caffeine, L2 Redis, L3 MySQL) built with Spring Boot 3, and shows how this design reduces request latency from 28 ms to 2 ms, cuts CPU usage by 35 % and achieves up to 14‑fold throughput improvement.
RAG (Retrieval‑Augmented Generation) is a hot interview topic, and many candidates stumble on semantic‑loss issues; this article dissects a real JD interview case, identifies three core shortcomings, and presents a three‑step technical solution—structure restoration, semantic splitting, and hybrid retrieval—plus a ready‑to‑use answer template.
This article explores how AI technologies are reshaping the entire PHP development lifecycle—offering context‑aware code generation, intelligent architecture suggestions, automated test creation, performance optimisation, and end‑to‑end workflow integration—while highlighting real‑world case studies and practical adoption strategies.
This article details Baidu's Tianchi supernode design and software tuning—covering hardware scale‑up, deployment planning, Prefill and Decode stage optimizations, quantization strategies, and communication schemes—to dramatically boost large‑model inference throughput and latency while lowering token‑cost.
Web Workers let JavaScript run heavy computations in background threads, freeing the main UI thread, boosting multi‑core utilization, and improving memory management, which together dramatically enhance front‑end performance for tasks like data processing, image filtering, media handling, and AI inference.
StarRocks and Apache Paimon have been progressively integrated across multiple releases, enabling a unified lakehouse architecture that supports multi-source federated analysis, time-travel queries, native readers/writers, distributed planning, and advanced profiling, while delivering performance gains that bring Paimon query speed on par with native StarRocks tables.
This article details the architecture and implementation of Tair KVCache Manager, an enterprise‑grade service that centralises KVCache metadata, decouples inference engines from storage, provides elastic scaling, multi‑tenant isolation, high availability, and performance‑optimised cache management for large‑scale LLM inference workloads.
This guide explains how product managers can choose the right GPU and complementary hardware for AI model training, covering GPU memory, cores, architecture, budget, CPU role, RAM, storage, cooling, and other factors, with real‑world examples and practical trade‑offs.
This article examines why APIs are more than data pipes, outlines three essential design questions, and provides concrete strategies—including single‑purpose endpoints, clear naming, batch calls, async core logic, caching, compression, HTTPS, token authentication, rate limiting, versioning, and maintenance practices—to create stable, efficient, and secure APIs.
This technical case study details the end-to-end development of PromptTuner, a HarmonyOS 6 native app for prompt discovery, optimization, and management, covering three-layer architecture, ArkUI declarative UI patterns, state management, API abstraction, local analytics, privacy compliance, and measurable performance gains.
This guide details how to implement a full‑stack H5 PAG player for the “Use Basketball to Know Me” activity, covering SDK loading, canvas‑based image manipulation (drag, scale, rotate), dynamic layer and text replacement, real‑time preview synchronization, snapshot export, batch synthesis, performance tuning, and fallback strategies.
This guide explains why most Nginx server setups fail, presents a core server template, walks through five real‑world scenarios with complete configuration snippets, and adds performance, security, and monitoring tips so you can copy a production‑grade Nginx configuration instantly.
This article explains the different cache layers—client, application, database, and distributed—provides best‑practice guidelines, and shows how to configure client‑side headers, application‑side caches with Hazelcast, JPA second‑level caching, and JMS‑based cache coordination in GlassFish.
This guide explains how to achieve pagination and multi‑condition fuzzy queries in Redis by leveraging ZSet for ordered paging and Hash with HSCAN for pattern matching, detailing command usage, combination strategies, and performance optimizations such as temporary set expiration and data freshness handling.
Redis offers five core data types—String, Hash, List, Set, and ZSet—each acting as a high‑performance concurrent data structure that determines system throughput, latency, and stability; this guide explains their characteristics, optimal use‑cases, anti‑patterns, and practical code examples for robust architecture design.
This article explains why KV‑Cache hit rate is critical for large‑model inference, describes vLLM's automatic prefix caching, outlines the distributed cache challenges, and provides a step‑by‑step guide to deploying Alibaba Cloud ACK Gateway with Inference Extension's precise‑mode prefix‑cache‑aware routing, backed by benchmark results.
The article explains how batching cache‑sync operations for dma_map_sg, dma_unmap_sg and dma_sync_sg on arm64 can cut their execution time by up to three‑fold, details the kernel patches introduced, and presents benchmark results on Dimensity 9500 and RK3588 platforms.
Microsoft’s Windows Server 2025 introduces native NVMe support that can increase IOPS by up to 80%, reduce latency, and save roughly 45% of CPU cycles on 4K random reads, with a manual registry tweak to enable the feature.
A developer shares technical insights from building 'Light Meal Moment' on HarmonyOS 6, covering declarative UI with ArkUI, @ComponentV2 state management, service cards, background tasks, and security — with code examples and measured performance gains of 30-44% across startup, navigation, and memory.
This article explains why traditional SpringBoot logging falls short, introduces the Hera log platform’s three core benefits, outlines a layered integration architecture, and provides a detailed five‑step guide—including Maven dependencies, YAML configuration, custom field providers, log output, traceability, and console usage—plus performance, high‑availability, security tips and common pitfalls.
Facing 53.64 ms per‑image latency in a Flask‑served Vision Transformer classifier, we iteratively optimized the pipeline—switching to ONNX Runtime, leveraging TensorRT, replacing Pillow with OpenCV, eliminating URL downloads, and finally batching requests—reducing average server‑side processing to 8.34 ms, a 6.4× speedup.
The vLLM‑Kunlun Plugin, jointly released by Baidu Baige and Kunlun Chip, provides a high‑performance, zero‑intrusion solution for deploying open‑source large language models on domestic Kunlun XPU hardware, includes fused operators, precision‑validation and profiling tools, and supports over twenty mainstream and multimodal models.
This article details the design and engineering of the 3FS distributed file system as a scalable KVCache backend for large‑language‑model inference, covering its architecture, performance tuning, reliability fixes, integration with SGLang/vLLM, and cloud‑native Kubernetes operator deployment.
A HarmonyOS developer shares the technical journey of building 'Shengqu Guoqitong', a children's flag learning app, detailing why HarmonyOS was chosen over Android, Flutter, and React Native, and how Core Speech Kit's offline TTS/ASR and ArkTS declarative UI enabled efficient development of voice-driven, interactive educational features.
This comprehensive guide walks you through fundamental database design goals, a step‑by‑step lifecycle, nine essential strategies—including normalization, indexing, and security—plus modern distributed and NoSQL considerations, performance tuning, high‑availability tactics, and practical tools for robust data governance.
A HarmonyOS developer shares complete technical implementation details and competition strategies from building 'Koko Picture Editor' for the 2025 HarmonyOS Developer Incentive Program, covering ArkUI architecture, ImageKit compression, Canvas cropping, color matrix filters, componentSnapshot watermarks, and performance optimization patterns.
This guide walks you through what Spring Task is, how to enable it in three simple steps, decode cron expressions, explore six real‑world use cases, unlock four advanced features, avoid common pitfalls, and apply performance‑tuning and future‑proofing techniques for robust Java scheduling.
This comprehensive guide explores container networking fundamentals, Docker network modes, Kubernetes CNI plugins, network security policies, monitoring, troubleshooting, and performance optimization, providing practical commands and configuration examples for operations engineers.
This article details a comprehensive sharding strategy for a high‑traffic message table, explaining why early partitioning is essential, how to design language‑based vertical shards combined with hash‑based horizontal shards, calculate table counts and virtual nodes, and execute a zero‑downtime migration using dual‑writes and gradual traffic rollout.
This article explains how integrating graph‑based data models into cloud‑native observability platforms transforms isolated metric monitoring into a relational view, enabling powerful queries such as graph‑match and Cypher to perform fault impact analysis, root‑cause tracing, and security audits across services, pods, and infrastructure.
A Flutter developer details the complete HarmonyOS adaptation of the Baby Lagou children's app, covering library migration, multi-screen UI adaptation, strict permission handling, performance optimization, and future plans for desktop widgets and atomic components.
This article explains the fundamentals of CUDA performance tuning, covering GPU architectures from Kepler to Volta, the role of SMX, warp schedulers, registers and memory hierarchies, and provides practical guidance on launch configuration, latency hiding, and thread‑block sizing to maximize throughput.
This article explains the fundamentals of CPU context switching, covering the hardware and kernel mechanisms, step‑by‑step saving and restoring of registers, scheduling algorithms, different types of switches, performance costs, optimization techniques, and includes a complete C++ simulation example.
This case study details how Qimao leveraged Alibaba Cloud EMR Serverless Spark with Fusion and Celeborn to overcome multi‑business‑line data‑processing challenges, achieving more than 50% faster batch jobs, significant cost reductions, and improved operational flexibility across its 600 million‑user ecosystem.
This article details integrating Flutter with HarmonyOS native image APIs (ImageSource, PixelMap, ImagePacker) using a bridge-adapter architecture, covering cross-platform design principles, caching strategies, photo_view-based viewer and gallery implementations, performance optimizations leveraging HarmonyOS distributed capabilities and ArkCompiler, and best practices for modular design, error handling, and compression achieving 40% faster loading and 30% memory reduction.
Discover eight powerful, lesser‑known MySQL 8.0 features—including window functions, descending indexes, generated columns, invisible indexes, hints, resource groups, LATERAL JOIN, and multi‑valued JSON indexes—that can dramatically improve query performance, simplify code, and give you an edge in interviews and production environments.
The article explains how Apache Parquet’s columnar layout, multi‑level row‑group structure, projection and predicate push‑down, and advanced compression and encoding make it the high‑performance, space‑efficient storage format that powers modern big‑data ecosystems and tools like Spark, Python pandas, and ClickHouse.
This article explains the parallel loading technique used in the H5 instant SDK to accelerate page startup, details the three resource‑handoff scenarios that cause synchronization challenges, reviews the early simple design and its drawbacks, and presents an optimized producer‑consumer model with fair locks and bridge streams to eliminate wasteful waiting and memory consumption.
React Compiler 1.0, released in 2023, automatically eliminates the need for manual useMemo, useCallback, and memo by statically analyzing code to cache computations, generate update conditions, and replace these hooks, offering a safer, more comprehensive performance boost across Vite, Webpack, Next.js, and React Native projects.
This article details the integration and optimization of Amap Flutter plugins (amap_flutter_map, amap_flutter_location) in an OpenHarmony project, covering Clean Architecture layering, tile caching, memory management, cross-platform adaptations for Android/iOS, error handling, and a complete HarmonyOS bridge/adapter implementation in ArkTS.
This comprehensive guide equips DBAs with enterprise‑level MySQL strategies, covering master‑slave replication, InnoDB cluster setup, performance tuning parameters, index design, backup and recovery methods, monitoring scripts, security hardening, and emergency response procedures to ensure a stable, high‑performance database environment.
The 2025 Apache Paimon release brings major performance boosts, AI‑centric multimodal storage, deeper streaming‑batch integration, and broader engine compatibility, detailing query and write optimizations, memory management tweaks, and a unified lake format for structured and unstructured data.
Ctrip migrated its massive User Behavior Tracking system from ClickHouse to a compute‑storage separated StarRocks cluster on Kubernetes, achieving millisecond‑level query latency, halving storage usage, reducing node count, and sustaining millions‑of‑rows‑per‑second write throughput while simplifying scaling and operations.
The Baidu Baige team discovered that DeepSeek‑V3.2‑Exp’s long‑context performance lagged behind the official report, traced the issue to a subtle RoPE layout mismatch in the open‑source inference demo, collaborated with DeepSeek to fix it, and verified that the model’s speed and accuracy fully recovered across multiple benchmarks.
The 2025 Bugly HarmonyOS Quality Report analyzes system version adoption, device distribution, crash and freeze rates across industries, identifies top stability issues such as memory leaks and main‑thread blocking, and offers concrete optimization recommendations for developers seeking better app performance.
This article analyzes the five typical pitfalls when designing DWS aggregation tables—from chimney‑style schemas to performance blind spots—explains their consequences, and provides concrete, production‑ready recommendations, code examples, and design principles to create reusable, efficient data‑warehouse layers.
The article analyzes common challenges in bank batch scheduling task testing, proposes a four‑step “classify‑check‑plan‑execute” standardized framework, demonstrates its application on a credit‑card core system, and reports a 30‑fold reduction in testing cycle time and 30% efficiency gain.
The article explains why a production Retrieval‑Augmented Generation (RAG) system becomes slower as it runs—due to growing embedding costs, expanding vector databases, heavier re‑ranking, and larger prompts—and provides concrete engineering optimizations such as batching, async concurrency, caching, partitioned retrieval, HNSW tuning, replica scaling, answer caching, and prompt sparsification to keep performance stable.
Token‑level Two‑Chunk Overlap replaces traditional batch‑level Two‑Batch Overlap, dynamically splitting sequences into balanced token chunks, enabling near‑equal compute and communication times, improving GPU utilization and achieving up to 30% throughput gains in heterogeneous request workloads, with zero accuracy loss.
The article examines how treating PHP variables as interchangeable reusable resources could reduce memory usage, boost execution speed, and simplify code, while outlining current limitations, possible implementation strategies, challenges, and practical scenarios where such a feature would be beneficial.
This article dissects the hidden technical debt of internal HTTP APIs, explains why HTTP/1.1 causes head‑of‑line blocking, redundant headers and serialization overhead, and walks through a step‑by‑step, data‑driven optimization roadmap—including HTTP/2, Protobuf, request aggregation, connection pooling, compression, caching, async processing, observability, and safe gray‑release deployment—backed by concrete benchmarks and code samples.
The article explains why JSON becomes a bottleneck in latency‑sensitive applications, compares four high‑performance binary serialization formats—Protocol Buffers, FlatBuffers, MessagePack, and CBOR—and provides practical guidance on selecting and deploying the right format to dramatically reduce latency, payload size, and CPU usage.
This article provides a detailed analysis of smart-socket’s memory‑pool mechanism, covering its core classes (BufferPagePool, BufferPage, VirtualBuffer), allocation strategies, configuration tips, code examples, best‑practice recommendations, and the performance benefits such as reduced GC pressure and higher allocation efficiency.
This article explains how Nacos, an open‑source dynamic naming and configuration service, was used in a micro‑service project, the two performance problems encountered—configuration fetch timeouts and server‑side QPS throttling—and the step‑by‑step optimizations (memory caching, fallback values, pre‑fetching and listener registration, and limit adjustments) that resolved them.
The 20th China Linux Kernel Developers Conference, hosted by vivo, presented eleven technical talks covering AI‑driven kernel challenges, memory‑compression techniques, heterogeneous compression, async file‑cache management, uncached I/O, direct I/O for compressed files, parallel writeback, host‑initiated defragmentation, zoned storage, energy‑efficient I/O, and eBPF‑based CPU idle policies, each with concrete performance results and implementation details.
JIMDB, a high‑performance Redis‑based distributed cache, introduces the “Big‑Hot Key” concept to dynamically identify keys that strain CPU or bandwidth, and implements a multi‑layer active governance framework—including real‑time detection, server‑side caching, circuit‑breaker, and client‑side consistency—to dramatically reduce resource consumption and boost throughput.
This article details the TiDB upgrade journey from version 5.3.3 to 7.5.x, covering architecture, new v7 features, migration strategies, encountered problems with full‑table scans and inaccurate aggregation plans, the solutions applied, and the measurable performance and stability gains achieved after the upgrade.
This article explains how traditional kernel network stacks struggle with high‑concurrency, low‑latency cloud data‑center workloads and introduces Baidu Intelligent Cloud’s Polar solution—Polar‑TCP and Polar‑RDMA—which combine user‑space DPDK drivers, a lightweight TCP stack, and an industrial RPC framework to achieve near‑RDMA performance while preserving compatibility with existing TCP ecosystems.
This article details a complete, production‑grade OCR invoice processing pipeline that combines a distributed Spring Boot microservice architecture, deep Tesseract optimizations, ML‑based data validation, GPU acceleration, Kubernetes deployment, and extensive performance and security strategies to achieve million‑scale daily throughput with high accuracy.
