The article examines Alibaba Cloud's DNS operation platform, detailing its three‑stage evolution—standardization, automation, and intelligent automation—and how these practices achieve sub‑10 ms latency stability, zero‑downtime fault isolation, and scalable reliability for billions of daily queries.
JD.com’s AIDCTwins platform leverages low‑code modeling, IoT sensing and cross‑platform 3D visualization to create a digital twin of its massive data‑center infrastructure, dramatically cutting labor costs, enabling real‑time updates, and boosting intelligent, green operation across thousands of servers and racks.
This curated collection gathers 45 essential operations articles covering monitoring alerts, fault recovery, disaster‑backup strategies, intelligent operations, tool selection, and additional expert insights, each linked to its original source for deeper technical reading.
The article summarizes the 58 Group technical salon where experts from Tujia.com, Kingsoft Cloud, and 58 Group shared their experiences on building block‑based database automation systems, cloud database architectures, high‑availability designs, self‑service platforms, and intelligent operation practices for large‑scale database services.
Meituan’s DBA team progressed from simple scripting through tooling, productization, private‑cloud self‑service and full automation to an emerging intelligent‑operation model that leverages extensive data collection, risk‑driven pre‑warning, AI‑assisted analysis, and self‑healing mechanisms to meet rapid growth, stability and scalability demands.
This talk details SF Express’s journey from heterogeneous legacy databases to standardized open‑source, distributed architectures and intelligent operations, covering standardization, migration to open‑source, scaling with Mycat, automated resource pooling, and the ThinkDB platform that drives proactive, automated DBA workflows.
Alibaba's R&D efficiency team explains how intelligent operations—spanning resource planning, change management, monitoring, stability, and one‑click site building—are being transformed from manual tooling to automated, AI‑driven DevOps practices to boost efficiency, cut costs, and ensure high availability at massive scale.
