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High QPS

17 articles · Page 1 of 1
Cloud Architecture
Cloud Architecture
Jul 20, 2026 · Databases

Designing MySQL for Millions of QPS: From Single Server to Distributed Architecture

The article walks through a real‑world order system that spikes to 300,000 QPS, explaining why the original single‑node MySQL design fails, and detailing a step‑by‑step evolution—index tuning, transaction fixes, read‑write splitting, vertical and horizontal sharding, plus data‑pipeline integration—to achieve stable low latency at massive scale.

Database ScalingHigh QPSMySQL
0 likes · 20 min read
Designing MySQL for Millions of QPS: From Single Server to Distributed Architecture
Cloud Architecture
Cloud Architecture
Jun 24, 2026 · Backend Development

Four Levels of Concurrency Control: Optimistic Locks to Message Queues for Million‑QPS

High‑concurrency systems must go beyond simple locking; the article breaks down four progressive strategies—optimistic locking, database pessimistic locking, Redis distributed locks, and finally message‑queue serialization—explaining their trade‑offs, implementation details, pitfalls, and how to combine them into a layered architecture that sustains million‑QPS workloads with consistency, throughput, and recoverability.

Concurrency ControlHigh QPSMessage Queue
0 likes · 32 min read
Four Levels of Concurrency Control: Optimistic Locks to Message Queues for Million‑QPS
Su San Talks Tech
Su San Talks Tech
Jun 12, 2025 · Information Security

Defending Against Million‑QPS Attacks: Rate Limiting, Fingerprinting, and Dynamic Rules

This article explains why a million‑QPS flood can cripple systems, outlines attackers' tactics, and presents a three‑layer defense strategy—including gateway rate limiting with Nginx + Lua, distributed circuit breaking via Sentinel, device fingerprinting, behavior analysis, and a dynamic rule engine—to protect high‑traffic services.

DDoSHigh QPSbehavior analysis
0 likes · 14 min read
Defending Against Million‑QPS Attacks: Rate Limiting, Fingerprinting, and Dynamic Rules
Alimama Tech
Alimama Tech
May 12, 2025 · Artificial Intelligence

Universal Recommendation Model (URM): A General Large‑Model Recall System for Advertising

The article presents the Universal Recommendation Model (URM), a large‑language‑model‑based recall framework that integrates world knowledge and e‑commerce expertise through knowledge injection and prompt‑driven alignment, achieving significant offline recall gains and a 3.1% increase in ad consumption while meeting high‑QPS, low‑latency production constraints.

AdvertisingHigh QPSMultimodal
0 likes · 17 min read
Universal Recommendation Model (URM): A General Large‑Model Recall System for Advertising
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Nov 7, 2024 · Artificial Intelligence

RTAMS-GANNS: A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighbor Search

RTAMS‑GANNS, the award‑winning real‑time adaptive multi‑stream GPU system for online approximate nearest neighbor search, eliminates costly memory allocations and serial execution by using a dynamic memory‑block insertion algorithm and separate CUDA streams, cutting latency by 40‑80% and reliably serving over 100 million daily users in production.

Approximate Nearest NeighborGPUHigh QPS
0 likes · 19 min read
RTAMS-GANNS: A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighbor Search
Architect's Guide
Architect's Guide
Aug 24, 2022 · Backend Development

Optimizing Long‑Connection Services with Netty: From Millions of Connections to High QPS

This article summarizes the challenges and optimization techniques for building a high‑performance long‑connection service with Netty, covering non‑blocking I/O, Linux kernel tuning, client‑side testing, VM‑based scaling, data‑structure tweaks, CPU and GC bottlenecks, and the final results of achieving hundreds of thousands of connections and tens of thousands of QPS on a single server.

GC TuningHigh QPSJava NIO
0 likes · 14 min read
Optimizing Long‑Connection Services with Netty: From Millions of Connections to High QPS
Xiao Lou's Tech Notes
Xiao Lou's Tech Notes
May 25, 2022 · Backend Development

Why Caching Timestamps Can Slash CPU Usage in High‑QPS Java and Go Services

This article explores how naive timestamp retrieval can become a CPU bottleneck under high concurrency, demonstrates cache‑based optimizations used in Alibaba's Cobar and Sentinel projects, presents benchmark results, and proposes an adaptive algorithm to enable or disable caching based on real‑time QPS.

High QPSjavatimestamp caching
0 likes · 11 min read
Why Caching Timestamps Can Slash CPU Usage in High‑QPS Java and Go Services
Xianyu Technology
Xianyu Technology
Apr 13, 2022 · Big Data

Real-time Multi-system Data Aggregation for Fan Tag System

The Xianyu fan‑tag system solves the challenge of displaying full‑history purchase counts with real‑time updates and low‑latency, high‑throughput queries by daily exporting multi‑system data to a LevelDB‑based KV store, converting schemas, and applying real‑time compensation from transaction and follow‑change messages, merging offline and live data to produce sorted fan lists at ~10 k QPS.

High QPSKV storagedata aggregation
0 likes · 6 min read
Real-time Multi-system Data Aggregation for Fan Tag System
ByteFE
ByteFE
Apr 11, 2022 · Backend Development

ByteDance Wallet Asset Middle Platform Design for 2022 Spring Festival High‑Traffic Reward Distribution

This article details ByteDance's wallet asset middle platform designed for the 2022 Spring Festival, covering eight‑app reward interoperability, high‑QPS challenges, token‑based asynchronous入账, budget control, stability measures, and fund‑safety guarantees, and includes practical solutions for hot‑key handling, budget throttling, and multi‑stage activity isolation.

ByteDanceFund SafetyHigh QPS
0 likes · 22 min read
ByteDance Wallet Asset Middle Platform Design for 2022 Spring Festival High‑Traffic Reward Distribution
FunTester
FunTester
Apr 19, 2021 · Operations

How to Add a Soft‑Start Mechanism for High‑QPS Performance Testing in Java

This article explains the concept of soft‑start in performance testing, presents Java implementations for both fixed‑thread and fixed‑QPS models, discusses error‑impact considerations, and provides practical code snippets to gradually ramp up load and improve measurement accuracy for high‑throughput services.

High QPSLoad TestingPerformance Testing
0 likes · 8 min read
How to Add a Soft‑Start Mechanism for High‑QPS Performance Testing in Java
Ctrip Technology
Ctrip Technology
Feb 25, 2021 · Backend Development

Design and Implementation of a Cache Access Component and Update Platform for High‑QPS Scenarios

This article describes a backend architecture for a high‑traffic e‑commerce project, detailing a cache access component and a cache update platform that use asynchronous messaging, hotspot‑key handling, versioned cache entries, and Redis to achieve low latency, high QPS support and strong data consistency.

High QPSbackendcaching
0 likes · 18 min read
Design and Implementation of a Cache Access Component and Update Platform for High‑QPS Scenarios
Meituan Technology Team
Meituan Technology Team
Dec 20, 2018 · Backend Development

Design and Performance Optimization of LruCache in Meituan DSP System

Meituan’s DSP system boosted high‑QPS ad serving performance by layering an LRU cache in front of Redis, then adding time‑based eviction, sharding the cache into HashLruCache instances to cut lock contention, and employing a zero‑copy, reference‑counted design, ultimately cutting average latency to about 20 % of the original and similarly reducing 99.9th‑percentile delays.

Cache OptimizationHashLruCacheHigh QPS
0 likes · 15 min read
Design and Performance Optimization of LruCache in Meituan DSP System