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Baidu Geek Talk
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 %.

Offline ComputingRSSResource optimization
0 likes · 12 min read
Optimization Practices for Offline Big Data Computing and Storage at Baidu MEG
Baidu Geek Talk
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.

Backend DevelopmentFaaSResource optimization
0 likes · 27 min read
Serverless Architecture Evolution: Baidu Search Content Platform's FaaS and Intelligent Transformation
Tencent Cloud Developer
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.

Database OperationsTencent Cloudautomation
0 likes · 9 min read
Operational Challenges and Strategies for Tencent Cloud Redis
AntTech
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 serviceintelligent scheduling
0 likes · 14 min read
Intelligent Scheduling in Customer Service: Architecture, Challenges, and Future Directions
Qunar Tech Salon
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.

QQbackend architectureintelligent scheduling
0 likes · 19 min read
Mobile QQ Operations: Business Overview, Network Fault Cases, Backend Architecture Optimization, Global Intelligent Scheduling, and Mobile Network Performance Enhancements