Tagged articles

intelligent scheduling

9 articles · Page 1 of 1

Aug 12, 2026 · Backend Development

How Dingdang Kuaike Achieves 28‑Minute Drug Delivery: The Underlying Tech Architecture

In this interview, Dingdang Kuaike’s R&D head Song Zilong explains how the company transformed a tightly coupled monolith into a micro‑service system, built intelligent real‑time scheduling, migrated Oracle to sharded MySQL across hybrid‑cloud IDC, and leveraged AI to sustain a 28‑minute drug‑delivery promise.

AI integrationMicroservicesR&D Management

0 likes · 17 min read

How Dingdang Kuaike Achieves 28‑Minute Drug Delivery: The Underlying Tech Architecture

ITPUB

Jul 31, 2026 · Databases

How AI Enhances Data Warehouses: Automated Modeling, SQL Generation, Smart Scheduling, and NLQ

The article explains that AI will not replace data warehouses but will transform them by introducing automated modeling, AI‑generated SQL, intelligent resource scheduling, and natural‑language query interfaces, enabling business users to interact with data directly and turning warehouses into self‑optimizing, intelligent decision engines.

AIAutomated ModelingData Warehouse

0 likes · 8 min read

How AI Enhances Data Warehouses: Automated Modeling, SQL Generation, Smart Scheduling, and NLQ

AI Engineering

Jul 18, 2026 · Industry Insights

Inside WAIC: How the Shuguang 8000 Supercomputer Hit Full Capacity on Day One

At WAIC, China’s first fully domestic 100,000‑GPU AI supercluster, the Shuguang 8000, was shown to run at full capacity within its first week—processing over 150,000 jobs daily and peaking above 500,000—thanks to intelligent scheduling, high‑density cabinets, proprietary RDMA interconnects, top‑ranked storage and immersion cooling, while offering open access programs for researchers and enterprises.

AI supercomputingShuguang 8000WAIC

0 likes · 4 min read

Inside WAIC: How the Shuguang 8000 Supercomputer Hit Full Capacity on Day One

Big Data Tech Team

Jan 7, 2026 · Big Data

How AI Is Transforming Data Warehouses: Automation, SQL Generation, and NLQ

This article explores how artificial intelligence enhances data warehouses by automating model design, generating SQL from natural language, optimizing resource scheduling, and enabling business users to converse directly with data, while also reviewing leading tools and future cloud‑native trends.

AIAutomated ModelingData Warehouse

0 likes · 7 min read

How AI Is Transforming Data Warehouses: Automation, SQL Generation, and NLQ

Baidu Geek Talk

Jun 7, 2023 · Big Data

Optimization Practices for Offline Big Data Computing and Storage at Baidu MEG

Baidu MEG’s offline big‑data platform cut costs and boost efficiency by applying intelligent scheduling, storage‑separation, tide‑power workload profiling, remote shuffle services and dynamic quota resizing, raising compute utilization from 55 % to 80 % and storage from 63 % to 78 %, slashing annual expenses by roughly ¥70 million and reducing task duration by about 30 %.

RSSResource Optimizationintelligent scheduling

0 likes · 12 min read

Optimization Practices for Offline Big Data Computing and Storage at Baidu MEG

Baidu Geek Talk

Jan 12, 2022 · Backend Development

Serverless Architecture Evolution: Baidu Search Content Platform's FaaS and Intelligent Transformation

Baidu’s search content platform transitioned to a serverless, FaaS‑based architecture with intelligent scheduling and automated control, cutting resource waste by 87%, boosting automatic recovery to 96.7%, and delivering roughly tenfold productivity gains across development, deployment, and maintenance while simplifying scalability and high‑availability concerns.

FaaSResource OptimizationSystem Automation

0 likes · 27 min read

Serverless Architecture Evolution: Baidu Search Content Platform's FaaS and Intelligent Transformation

Tencent Cloud Developer

Feb 27, 2019 · Operations

Operational Challenges and Strategies for Tencent Cloud Redis

Facing metadata inconsistency, ten‑thousand‑device scale, and the need for intelligent, event‑driven automation, Tencent Cloud Redis’s sole operations lead built a unified DB‑CMDB, a job‑platform for reusable workflows, and AI‑assisted scheduling, transforming DBAs into developer‑operators and driving 300% efficiency gains.

AutomationDatabase OperationsDevOps

0 likes · 9 min read

Operational Challenges and Strategies for Tencent Cloud Redis

AntTech

Mar 1, 2018 · Operations

Intelligent Scheduling in Customer Service: Architecture, Challenges, and Future Directions

The article examines how intelligent scheduling combines AI-driven bots and human agents to dynamically allocate customer service resources, addressing market slowdown, complex business structures, and operational pain points through perception, decision‑making, and execution capabilities, while outlining current implementations and future plans at Ant Financial.

AICustomer ServiceOperations

0 likes · 14 min read

Intelligent Scheduling in Customer Service: Architecture, Challenges, and Future Directions

Qunar Tech Salon

Nov 15, 2017 · Operations

Mobile QQ Operations: Business Overview, Network Fault Cases, Backend Architecture Optimization, Global Intelligent Scheduling, and Mobile Network Performance Enhancements

This article details Mobile QQ's rapid growth, analyzes network fault cases in China and Hong Kong, describes the evolution of its backend architecture from single to three‑center deployment, and explains global intelligent scheduling and mobile‑side optimizations that dramatically improve latency and reliability.

QQintelligent schedulingmobile

0 likes · 19 min read

Mobile QQ Operations: Business Overview, Network Fault Cases, Backend Architecture Optimization, Global Intelligent Scheduling, and Mobile Network Performance Enhancements