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dbaplus Community
dbaplus Community
Dec 19, 2017 · Databases

7 Essential MySQL Performance Tuning Techniques You Must Apply

This article presents seven practical MySQL performance‑tuning techniques—including mastering EXPLAIN, building effective indexes, overriding default settings, optimizing memory usage, adopting SSD storage, scaling horizontally, and improving visibility—while explaining key configuration variables and monitoring tools to keep your database fast and reliable.

EXPLAINIndexingInnoDB
0 likes · 16 min read
7 Essential MySQL Performance Tuning Techniques You Must Apply
Efficient Ops
Efficient Ops
Dec 19, 2017 · Databases

How ZanDB Automates MySQL Operations at Scale: A Deep Dive

ZanDB is Youzan's comprehensive MySQL automation platform that standardizes OS and database configurations, introduces a web‑based UI, task scheduling, backup monitoring, host and instance management, log analysis, metadata services, and high‑availability features to dramatically reduce manual DBA work and improve reliability.

Backup MonitoringMySQL automationTask Scheduling
0 likes · 15 min read
How ZanDB Automates MySQL Operations at Scale: A Deep Dive
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
Dec 19, 2017 · Frontend Development

How Isomorphic Server‑Side Rendering Cut First‑Paint Time by 50% for Millions

An in‑depth case study of the Interest Tribe project reveals how adopting isomorphic server‑side rendering, combined with offline packages, VM sandboxing, and smart caching, dramatically reduced first‑paint latency on Android devices, cut slow‑user share, and improved stability and scalability for a billion‑scale web service.

Frontend ArchitectureReActServer-side Rendering
0 likes · 12 min read
How Isomorphic Server‑Side Rendering Cut First‑Paint Time by 50% for Millions
21CTO
21CTO
Dec 19, 2017 · Artificial Intelligence

How Deep Neural Networks Decode Images: From CNNs to RNNs

This article explains the fundamental principles behind deep neural networks for image recognition, covering convolutional and recurrent architectures, their training processes, feature extraction mechanisms, and the emerging ability to generate automatic image captions.

Deep LearningRecurrent Neural Networkconvolutional neural network
0 likes · 13 min read
How Deep Neural Networks Decode Images: From CNNs to RNNs
Meitu Technology
Meitu Technology
Dec 19, 2017 · Industry Insights

Inside Meitu’s In‑House Log Collection System Arachnia: Design, Challenges, and Core Mechanisms

This article introduces Meitu’s self‑developed log collection system Arachnia, explaining why a custom solution was needed for massive server‑side user‑behavior logs, the key requirements such as reliability and real‑time throughput, and the core architectural mechanisms that address those challenges.

ArachniaData PipelineMeitu
0 likes · 2 min read
Inside Meitu’s In‑House Log Collection System Arachnia: Design, Challenges, and Core Mechanisms
Meitu Technology
Meitu Technology
Dec 19, 2017 · Artificial Intelligence

Meitu's Practice and Exploration in Personalized Recommendations

Meitu leverages its vast user base and massive image‑video library to build a personalized recommendation system that tackles information overload by quickly surfacing relevant content, while exploring challenges such as timeliness, cold‑start scenarios, and diversity to enhance overall user experience.

AI in e-commerceData SciencePersonalized Recommendations
0 likes · 2 min read
Meitu's Practice and Exploration in Personalized Recommendations
Meitu Technology
Meitu Technology
Dec 19, 2017 · Big Data

Meitu Internet Technology Salon Session 7: Practices in Recommendation Algorithms, Big Data, and Personalized Recommendation

At Meitu’s seventh Internet Technology Salon in Xiamen, over a hundred experts discussed recommendation algorithms and big‑data solutions, with talks on the Arachnia log‑collection system, the Naix distributed bitmap service, Meitu’s personalized recommendation pipeline challenges, and novel data‑missing‑theory models for improved performance.

Data Collectionbig datadistributed bitmap
0 likes · 8 min read
Meitu Internet Technology Salon Session 7: Practices in Recommendation Algorithms, Big Data, and Personalized Recommendation
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Dec 19, 2017 · Cloud Native

Inside Kubelet: How Kubernetes Starts Pods and Manages Nodes

This article explains the Kubelet service lifecycle, its core functions, code structure, startup sequence, and the detailed steps Kubernetes follows to create and run Pods, providing code snippets and diagrams for developers who want to understand or extend Kubelet internals.

KubernetesOrchestrationpod
0 likes · 9 min read
Inside Kubelet: How Kubernetes Starts Pods and Manages Nodes
Taobao Frontend Technology
Taobao Frontend Technology
Dec 19, 2017 · Backend Development

How Pandora.js Service Mechanism Enables Efficient Process Orchestration and RPC

This article explains Pandora.js's Service mechanism—a high‑level process orchestration feature for Node.js applications—covering its problem scope, core principles, capabilities, implementation of an RPC provider with etcd registration, and a simple consumer example, while demonstrating start/stop lifecycle management.

EtcdNode.jsPandora.js
0 likes · 10 min read
How Pandora.js Service Mechanism Enables Efficient Process Orchestration and RPC
AntTech
AntTech
Dec 19, 2017 · Artificial Intelligence

Best Paper Review: Hike – A Hybrid Human‑Machine Method for Entity Alignment in Large‑Scale Knowledge Bases (CIKM 2017)

This article summarizes the award‑winning CIKM 2017 paper “Hike: A Hybrid Human‑Machine Method for Entity Alignment in Large‑Scale Knowledge Bases,” explaining its motivation, the entity‑partition and predicate‑similarity techniques, the construction of partial orders, question‑selection strategies, inference modeling, error‑tolerance mechanisms, and the greedy algorithms that together achieve state‑of‑the‑art alignment performance.

AIBest PaperCIKM
0 likes · 23 min read
Best Paper Review: Hike – A Hybrid Human‑Machine Method for Entity Alignment in Large‑Scale Knowledge Bases (CIKM 2017)
ITPUB
ITPUB
Dec 19, 2017 · Databases

Why a Simple DELETE Triggers a MySQL Deadlock – Step‑by‑Step Log Analysis

The article walks through a puzzling MySQL deadlock caused by two concurrent transactions on a table with a unique index, explains how to read the InnoDB status output, identifies the lock types and order, and shows a detailed step‑by‑step reconstruction of the deadlock scenario.

InnoDBMySQLdeadlock
0 likes · 11 min read
Why a Simple DELETE Triggers a MySQL Deadlock – Step‑by‑Step Log Analysis
ITPUB
ITPUB
Dec 19, 2017 · Artificial Intelligence

Top 20 Open‑Source Python Machine‑Learning Projects on GitHub

This article surveys the 20 most active Python machine‑learning repositories on GitHub, summarizing each project's core capabilities, typical use cases, and providing direct links for developers interested in exploring open‑source AI tools.

AIGitHubPython
0 likes · 9 min read
Top 20 Open‑Source Python Machine‑Learning Projects on GitHub
Qunar Tech Salon
Qunar Tech Salon
Dec 19, 2017 · Backend Development

Smart: An Automated API Testing Platform for Generating Test Cases from Manual Testing

The article introduces Smart, a platform that records manual API testing actions and database interactions to automatically generate and execute API test cases, addressing data preparation, environment setup, and case authoring challenges while detailing its architecture, implementation, and future improvements.

API testingbackendquality assurance
0 likes · 7 min read
Smart: An Automated API Testing Platform for Generating Test Cases from Manual Testing
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 19, 2017 · Operations

How Alibaba’s TPP Intelligent Scheduler Boosts Resource Utilization and Handles Double‑11 Traffic

The article details Alibaba's Taobao Personalization Platform (TPP) intelligent scheduling system, explaining its architecture, optimization algorithms, convergence logic, and performance results that dramatically improve CPU utilization and automate scaling during both regular operation and high‑traffic events like Double‑11.

AlibabaAuto ScalingRecommendation System
0 likes · 21 min read
How Alibaba’s TPP Intelligent Scheduler Boosts Resource Utilization and Handles Double‑11 Traffic
High Availability Architecture
High Availability Architecture
Dec 19, 2017 · Databases

Interview with Liu Qi, Co‑founder and CEO of PingCAP, on TiDB’s Origin, Roadmap, and Database Trends

PingCAP co‑founder and CEO Liu Qi discusses the motivation behind creating TiDB, its evolution into a HTAP NewSQL database, key development priorities such as SQL enhancements, storage engine innovation, cloud‑native integration, and shares insights on open‑source project management and future database trends.

HTAPNewSQLTiDB
0 likes · 9 min read
Interview with Liu Qi, Co‑founder and CEO of PingCAP, on TiDB’s Origin, Roadmap, and Database Trends