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141096 articles · Page 6878 of 7055
Big Data and Microservices
Big Data and Microservices
Mar 23, 2016 · Industry Insights

Inside the Securities Tech Revolution: Cloud, Microservices, and Big Data

The article examines the paradox of the Chinese securities industry—high demand for cutting‑edge trading, quantitative and high‑frequency systems versus outdated IT—while detailing the team’s FinTech startup approach, their Node.js/Docker/MongoDB stack, a cloud‑native trading platform, microservice architecture, big‑data pipelines, performance tuning, and DevOps practices.

Big DataCloud ComputingDevOps
0 likes · 21 min read
Inside the Securities Tech Revolution: Cloud, Microservices, and Big Data
Efficient Ops
Efficient Ops
Mar 22, 2016 · Databases

Scaling PB‑Level Data: Mastering Redis, Codis, and MySQL Sharding

In this technical share, the operations director explains how his team tackled PB‑scale data challenges by scaling Redis with Codis, implementing multi‑dimensional MySQL sharding, using vertical and horizontal partitioning, and optimizing storage with TokuDB, offering practical insights for high‑throughput system design.

CodisMySQLPB-level Data
0 likes · 15 min read
Scaling PB‑Level Data: Mastering Redis, Codis, and MySQL Sharding
Architect
Architect
Mar 22, 2016 · Backend Development

Youzan Search Engine Practice – Engineering Part: Architecture, Indexing, and Performance Optimization

This article describes the practical architecture of Youzan's commercial e‑commerce search engine, covering data source integration, distributed real‑time indexing with Elasticsearch, Hadoop and Kafka, advanced search modules, and several performance‑tuning techniques for large‑scale deployments.

Backend ArchitectureElasticsearchIndexing
0 likes · 13 min read
Youzan Search Engine Practice – Engineering Part: Architecture, Indexing, and Performance Optimization
WeChatFE
WeChatFE
Mar 22, 2016 · Frontend Development

How to Build a Simple Virtual DOM in 300–400 Lines of Code

This article explains how to implement a basic Virtual DOM algorithm in 300–400 lines of JavaScript, covering state‑management motivations, tree representation, diffing, and patching, with step‑by‑step code examples and visual illustrations to help developers understand and build their own lightweight Virtual DOM library.

Diff AlgorithmVirtual DOMdom manipulation
0 likes · 13 min read
How to Build a Simple Virtual DOM in 300–400 Lines of Code
ITPUB
ITPUB
Mar 22, 2016 · Operations

Build a Secure Proxy Server on AWS with Squid and SSH Tunneling

This guide walks you through creating an AWS EC2 instance, installing and configuring Squid as a proxy, restarting the service, setting up local proxy settings, and securing the connection with an SSH tunnel for encrypted traffic.

AWSLinuxSSH Tunnel
0 likes · 5 min read
Build a Secure Proxy Server on AWS with Squid and SSH Tunneling
ITPUB
ITPUB
Mar 22, 2016 · Information Security

Exploiting a Rare MSSQL Blind Injection via @@LANGID and @@TEXTSIZE

The author details a seldom‑seen MSSQL blind injection discovered during a Google bounty, explaining why automated scanners failed, how manual testing with @@LANGID and @@TEXTSIZE revealed the flaw, and the proof‑of‑concept steps that ultimately earned a reward.

Blind InjectionGoogle BountyMSSQL
0 likes · 5 min read
Exploiting a Rare MSSQL Blind Injection via @@LANGID and @@TEXTSIZE
Architecture Digest
Architecture Digest
Mar 22, 2016 · Backend Development

Evolution of LinkedIn’s Backend Architecture: From the Leo Monolith to a Scalable Service‑Oriented Platform

The article chronicles LinkedIn’s journey from a single‑server Leo monolith to a highly distributed, service‑oriented backend architecture, detailing the introduction of member graphs, read‑only replicas, caching layers, Kafka pipelines, Rest.li APIs, super‑blocks, and multi‑data‑center deployments to support billions of daily requests.

Backend ArchitectureKafkaLinkedIn
0 likes · 9 min read
Evolution of LinkedIn’s Backend Architecture: From the Leo Monolith to a Scalable Service‑Oriented Platform
21CTO
21CTO
Mar 22, 2016 · Operations

Build a Scalable Unified Monitoring & Alert Platform with Ganglia & Centreon

This article explains how to design and implement a unified operations monitoring and alerting platform by combining Ganglia for data collection with Centreon for alerting, covering architecture layers, module functions, integration steps, and practical Q&A for large‑scale deployments.

AlertingAutomationCentreon
0 likes · 20 min read
Build a Scalable Unified Monitoring & Alert Platform with Ganglia & Centreon
21CTO
21CTO
Mar 22, 2016 · Operations

Inside Facebook’s ‘Hotfix Bar’: Secrets of Massive Deployments

During an exclusive visit to Facebook’s Menlo Park campus, the author uncovers the company’s sophisticated release engineering practices—including the HipHop optimizer, a custom BitTorrent‑based deployment system, continuous testing, and a unique “Hotfix Bar” culture—revealing how billions of daily requests are reliably delivered at massive scale.

FacebookbitTorrentdeployment
0 likes · 18 min read
Inside Facebook’s ‘Hotfix Bar’: Secrets of Massive Deployments
21CTO
21CTO
Mar 22, 2016 · Databases

How Facebook’s Dragon Engine Accelerates Graph Queries at Scale

Facebook’s Dragon distributed graph query engine optimizes high‑volume single‑hop and multi‑hop queries by introducing specialized indexing, socially aware inverted indices, and functional primitives, dramatically reducing latency, storage reads, and CPU usage while handling massive social‑graph data.

DragonFacebookIndexing
0 likes · 11 min read
How Facebook’s Dragon Engine Accelerates Graph Queries at Scale
21CTO
21CTO
Mar 22, 2016 · R&D Management

Is the Traditional Company Model Dying? The Rise of Platform + Individual Economy

The article traces the historical evolution from 19th‑century joint‑stock companies to today’s platform‑driven, individual‑centric economic landscape, arguing that the internet, cloud and low transaction costs are reshaping organizations and heralding a shift away from the classic company‑employee model.

Business Modelsdigital transformationfuture of work
0 likes · 23 min read
Is the Traditional Company Model Dying? The Rise of Platform + Individual Economy
21CTO
21CTO
Mar 22, 2016 · Information Security

How to Outsmart AI-Powered Web Scrapers: Two Powerful Anti‑Crawling Tricks

Web crawlers, especially AI‑driven ones, threaten site performance and data ownership, so this article reviews common anti‑scraping methods—from IP and header analysis to behavior detection—and reveals two unconventional defenses: data poisoning and a deposit‑based access model that penalize malicious bots.

AIData ProtectionWeb Scraping
0 likes · 5 min read
How to Outsmart AI-Powered Web Scrapers: Two Powerful Anti‑Crawling Tricks
Big Data and Microservices
Big Data and Microservices
Mar 22, 2016 · Operations

Top 12 Free Network Monitoring Tools for Stable Enterprise Operations

Ensuring uninterrupted network performance is critical for multi‑level organizations, and this guide compiles twelve free network monitoring solutions—such as Fiddler, Nagios, NeDi, EasyNetMonitor, Microsoft Network Monitor, Cacti, Zenoss, PRTG, BandwidthD, Icinga, The Dude, and Total Network Monitor—detailing their key features, capabilities, and visual interfaces to help IT teams select the right tool for reliable, secure operations.

IT OperationsNetwork ManagementNetwork Monitoring
0 likes · 8 min read
Top 12 Free Network Monitoring Tools for Stable Enterprise Operations
Efficient Ops
Efficient Ops
Mar 21, 2016 · Operations

How to Build a High‑Performance Unified Monitoring & Alerting Platform

This article outlines a comprehensive design for a high‑performance, unified operations monitoring platform, detailing a six‑layer architecture, the roles of data collection (using Ganglia), data extraction, and alerting modules (with Centreon), and provides practical integration tips, deployment diagrams, and Q&A for large‑scale environments.

AlertingCentreonGanglia
0 likes · 24 min read
How to Build a High‑Performance Unified Monitoring & Alerting Platform