Intelligent orchestration of database resources in power system

• Main Authors: Hu Junjun, Yang Bo, Yang Mingjie, Wang Qiong, Yan Runzhen, Lin Kaiyun
• Format: Article
• Language: English
• Published: EDP Sciences 2020-01-01
• Series: E3S Web of Conferences
• Online Access: https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/51/e3sconf_reee2020_04006.pdf

With the continuous development of cloud computing technology, the size of database clusters is getting larger and larger. The database resources in existing power systems need to be manually deployed, which puts great pressure on operation and maintenance personnel. Therefore, resource orchestration and automatic deployment are proposed and realized. This method implements a visual orchestration interface through the GoJS framework, establishes a deployment template, uses Spring template to encapsulate task execution scripts, orchestrates database instances, high-availability standby machines, and logical replication at one time, simplifying the deployment process. Practice shows that this method can be effective Reduce deployment time and improve work efficiency.