BestHub
Sign in
ByteDance Data Platform
ByteDance Data Platform
Jun 11, 2025 · Databases

BlendHouse: The Award‑Winning Cloud‑Native Vector Database Redefining Search

ByteHouse’s BlendHouse, a cloud‑native vector database system presented at ICDE 2025, won the Best Industry and Application Paper Award, showcasing a high‑performance, universally designed framework with deep mixed‑query optimization that outperforms dedicated vector databases in read/write speed and supports large‑scale multimodal retrieval.

BlendHouseICDE 2025Vector Database
0 likes · 6 min read
BlendHouse: The Award‑Winning Cloud‑Native Vector Database Redefining Search
Open Source Tech Hub
Open Source Tech Hub
Sep 4, 2024 · Backend Development

Why Workerman Redefines PHP Backend Performance for Real‑Time Apps

Workerman is an open‑source, high‑performance pure‑PHP application container that breaks traditional PHP limits, supporting TCP, UDP, WebSocket, HTTP, and custom protocols, while the article also lists its recent changelog updates and welcomes several new contributors.

NetworkingPHPWorkerman
0 likes · 5 min read
Why Workerman Redefines PHP Backend Performance for Real‑Time Apps
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Jun 4, 2024 · Big Data

Why Kafka Can Achieve Million‑Message‑Per‑Second Throughput: Disk Sequential Write, Zero‑Copy, Page Cache, and Memory‑Mapped Files

The article explains how Kafka attains ultra‑high write throughput by leveraging disk sequential writes, zero‑copy data transfer, operating‑system page cache, and memory‑mapped files, detailing each technique’s impact on latency, CPU usage, and overall performance.

Sequential Writebig-datahigh-performance
0 likes · 5 min read
Why Kafka Can Achieve Million‑Message‑Per‑Second Throughput: Disk Sequential Write, Zero‑Copy, Page Cache, and Memory‑Mapped Files
AntTech
AntTech
Mar 22, 2024 · Cloud Native

LightPool: A Cloud‑Native NVMe‑oF Based High‑Performance Storage Pool Architecture for Distributed Databases

The article introduces LightPool, an open‑source, cloud‑native storage‑pool architecture presented at HPCA 2024, which leverages NVMe‑over‑Fabric, Kubernetes CSI integration, and a lightweight user‑space engine to deliver high‑performance, elastic, and highly available storage for large‑scale distributed databases while reducing cost and improving resource utilization.

NVMe-oFStoragecloud-native
0 likes · 12 min read
LightPool: A Cloud‑Native NVMe‑oF Based High‑Performance Storage Pool Architecture for Distributed Databases
Alibaba Cloud Infrastructure
Alibaba Cloud Infrastructure
Mar 21, 2024 · Cloud Native

LightPool: An NVMe‑oF‑Based High‑Performance and Lightweight Storage Pool Architecture for Cloud‑Native Distributed Databases

The article presents LightPool, a cloud‑native storage‑pooling solution that leverages NVMe‑over‑Fabric, Kubernetes‑based scheduling, and a lightweight user‑space engine to deliver high‑performance, low‑cost, and highly available storage for large‑scale distributed databases while eliminating traditional bottlenecks.

KubernetesNVMe-oFStorage
0 likes · 13 min read
LightPool: An NVMe‑oF‑Based High‑Performance and Lightweight Storage Pool Architecture for Cloud‑Native Distributed Databases
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Apr 25, 2023 · Databases

REDtao: A High-Performance Graph Storage System for Social Graph Data

REDtao is a high‑performance graph storage system built for Xiaohongshu that extends Facebook’s Tao architecture with a three‑layer hash structure, decoupled caching, leader‑follower distribution and cross‑cloud availability, delivering over 90% cache hits, 70% MySQL CPU reduction, 150 M QPS on a 16‑core server and seamless migration despite a 250% surge in daily‑active‑user traffic.

cachingcloud-nativedistributed system
0 likes · 17 min read
REDtao: A High-Performance Graph Storage System for Social Graph Data
Programmer DD
Programmer DD
Aug 21, 2020 · Backend Development

How to Simulate 100 Billion Red Packet Requests on a Single Server

This article details a practical approach to building a single‑machine prototype that supports one million concurrent connections and processes up to 60,000 QPS, simulating the massive load of 100 billion WeChat red‑packet requests with Go, Linux, and custom monitoring tools.

GolangLoad Testingdistributed-systems
0 likes · 23 min read
How to Simulate 100 Billion Red Packet Requests on a Single Server
Xiao Lou's Tech Notes
Xiao Lou's Tech Notes
May 17, 2020 · Databases

How to Build a High‑Availability, High‑Performance Distributed ID Generator

Distributed systems need globally unique, often monotonic IDs, and this article examines common ID generation strategies—Snowflake, database auto‑increment, segment allocation, multi‑master databases, and Raft‑based consensus—evaluating each for high availability and high performance, and highlighting trade‑offs and implementation details.

Distributed IDRaftSnowflake
0 likes · 8 min read
How to Build a High‑Availability, High‑Performance Distributed ID Generator
Meituan Technology Team
Meituan Technology Team
Jan 12, 2018 · Backend Development

Design and High‑Performance Practices of Meituan's Settlement and Reconciliation Platform

Meituan’s settlement and reconciliation platform was rebuilt from a single‑threaded, month‑end batch system into a distributed, multi‑threaded, real‑time service that abstracts core models, uses lock‑free processing, sharding, and dedicated Kafka topics, achieving millisecond latency for millions of daily bills across 17 business lines.

Reconciliationbackenddata-processing
0 likes · 20 min read
Design and High‑Performance Practices of Meituan's Settlement and Reconciliation Platform
MaGe Linux Operations
MaGe Linux Operations
May 22, 2015 · Backend Development

Why Multithreading, Blocking, and IOCP/Epoll Matter for High‑Performance Servers

The article explores the evolution from single‑core processors to multi‑core systems, explains threading, blocking, and synchronization concepts, and compares high‑performance communication models such as asynchronous I/O, IOCP on Windows and epoll on Linux, highlighting their trade‑offs for backend server scalability.

BlockingIOCPbackend
0 likes · 15 min read
Why Multithreading, Blocking, and IOCP/Epoll Matter for High‑Performance Servers