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143122 articles · Page 6700 of 7157
MaGe Linux Operations
MaGe Linux Operations
Jul 7, 2017 · Operations

Essential Linux Command Cheat Sheet for Operations Engineers

This guide compiles essential Linux command‑line techniques—from searching and editing with vi/vim, using pipelines, file finding, string replacement, redirection, permission changes, to monitoring system resources and network connections—helping operations engineers boost productivity and maintain high service availability.

OperationsSystem MonitoringVim
0 likes · 12 min read
Essential Linux Command Cheat Sheet for Operations Engineers
MaGe Linux Operations
MaGe Linux Operations
Jul 7, 2017 · Fundamentals

Unlock Python Power: Master Decorators in Simple Steps

This article demystifies Python decorators by explaining their purpose, illustrating how functions are objects that can be passed, nested, or returned, and providing clear code examples and visual analogies to show how decorators enhance functions without altering their core behavior.

FunctionsPythoncode
0 likes · 6 min read
Unlock Python Power: Master Decorators in Simple Steps
Efficient Ops
Efficient Ops
Jul 6, 2017 · Operations

36 Ops Strategies: Permissions, Documentation, and Capacity Management

The article shares practical operations lessons—from periodic permission audits and thorough documentation to capacity monitoring, log rotation, and automation—illustrating how systematic practices and tooling can standardize and streamline IT infrastructure management.

AutomationCapacity PlanningIT Management
0 likes · 8 min read
36 Ops Strategies: Permissions, Documentation, and Capacity Management
21CTO
21CTO
Jul 6, 2017 · Big Data

How HBase Boosted Tencent Monitoring Platform Performance 3‑5×

Facing the challenge of storing over 120 billion daily monitoring points from hundreds of thousands of servers, Tencent’s monitoring platform migrated from a custom solution and OpenTSDB to a finely tuned HBase architecture, achieving 3‑5× higher throughput, improved reliability, and significant storage savings.

DistributedStorageHBasePerformanceTuning
0 likes · 11 min read
How HBase Boosted Tencent Monitoring Platform Performance 3‑5×
21CTO
21CTO
Jul 6, 2017 · Cloud Computing

Can Facebook Run on AWS? Analyzing Server Capacity, Costs & Feasibility

This article explores whether Facebook could be hosted on AWS by estimating Facebook's server count, comparing hardware performance, evaluating software compatibility, and calculating the massive cost implications, ultimately concluding that while technically possible, it would be far more expensive than maintaining its own data centers.

AWSCloud ComputingFacebook
0 likes · 16 min read
Can Facebook Run on AWS? Analyzing Server Capacity, Costs & Feasibility
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
Jul 6, 2017 · Frontend Development

Fix Mobile Photo Rotation Issues with EXIF and Canvas

This article explains how to detect the EXIF Orientation tag on mobile‑captured photos, rotate them correctly with canvas, and compress the result to reduce size, providing a lightweight solution for fixing 90° rotation issues on iPhone and certain Android devices.

CanvasEXIFFrontend
0 likes · 5 min read
Fix Mobile Photo Rotation Issues with EXIF and Canvas
Meituan Technology Team
Meituan Technology Team
Jul 6, 2017 · Frontend Development

LsLoader: A Front-End Module Caching and Performance Optimization Tool

LsLoader is a middleware that caches individual JavaScript modules in browser localStorage and combines updates via an online combo service, enabling build‑tool‑agnostic, fine‑grained loading that cuts page load times by up to 30 % and saves hundreds of gigabytes of bandwidth in production.

Front-endJavaScriptLsLoader
0 likes · 13 min read
LsLoader: A Front-End Module Caching and Performance Optimization Tool
Meituan Technology Team
Meituan Technology Team
Jul 6, 2017 · Backend Development

Online Feature System: Architecture, Storage, and High‑Concurrency Techniques

Using Meituan’s hotel‑travel platform as a case study, the article details a scalable online feature system architecture that combines layered storage, efficient compression, and robust synchronization to meet extreme concurrency, throughput, terabyte‑scale data, and sub‑10 ms latency demands for AI‑driven strategy services.

Big DataDistributed StorageHigh Concurrency
0 likes · 23 min read
Online Feature System: Architecture, Storage, and High‑Concurrency Techniques
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Jul 6, 2017 · Backend Development

Rebuilding Huajiao Live Chat with Go: Architecture, Scaling & Flow Control

This article details Huajiao's transition from an Erlang‑based chat system to a Go‑driven QChat architecture, covering language selection, component redesign, deployment strategies, flow‑control mechanisms, and four‑layer proxy testing that together enabled massive scaling for live streaming comment and gift traffic.

Chat ArchitectureFlow ControlScalability
0 likes · 11 min read
Rebuilding Huajiao Live Chat with Go: Architecture, Scaling & Flow Control
ITPUB
ITPUB
Jul 6, 2017 · Databases

Choosing the Right RAID Level for MySQL: A Practical Guide

This article explains RAID fundamentals, compares common RAID levels, shows how to identify the configured RAID using MegaCli, evaluates write policies and battery status, and recommends optimal RAID configurations for MySQL data, binary logs, and redo files.

BackupMySQLRAID
0 likes · 11 min read
Choosing the Right RAID Level for MySQL: A Practical Guide
Hujiang Technology
Hujiang Technology
Jul 6, 2017 · Artificial Intelligence

Comparing Core ML and TensorFlow Performance and API Usage on iOS

The article compares Apple’s Core ML and Google’s TensorFlow on iOS, explaining their architectures, showing performance measurements, and detailing API usage with code examples, highlighting Core ML’s ease of integration versus TensorFlow’s greater flexibility but higher complexity.

Core MLTensorFlowiOS
0 likes · 10 min read
Comparing Core ML and TensorFlow Performance and API Usage on iOS
Taobao Frontend Technology
Taobao Frontend Technology
Jul 6, 2017 · Databases

Understanding LevelDB: Architecture, Interfaces, and New Features

LevelDB, Google's high-performance key‑value store built on LSM trees, uses an in‑memory skip‑list, immutable memtables, and sstable files organized in multi‑level compaction, offering interfaces for creation, reads, writes, snapshots, and new features like fuzzy search and JSON storage, all explained with diagrams.

Bloom FilterCompactionDatabase Architecture
0 likes · 11 min read
Understanding LevelDB: Architecture, Interfaces, and New Features