How to Manage Database Clusters Without a Dedicated Operator - Shanshan Ying, ApeCloud & Shun Ding
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How to Manage Database Clusters Without a Dedicated Operator | 如何在没有专门Operator的情况下管理数据库集群 - Shanshan Ying, ApeCloud & Shun Ding, China Mobile Cloud
As Kubernetes becomes integral to cloud-native environments, more organizations are deploying database services on K8S, facing significant challenges. Integrating new database engines typically requires developing a dedicated Kubernetes operator that manages not only resource provisioning but also essential maintenance tasks like high availability, backup & restore, and configuration management. This session introduces a universal operator framework that supports various database engines, enabling rapid, minimal-code integration. We will present a case study from China Mobile Cloud on integrating a new cloud-native database engine into K8S using this framework, achieved with minimal coding and reduced time investment, bypassing the extensive Golang coding usually required for developing a dedicated operator.
随着Kubernetes成为云原生环境中不可或缺的一部分，越来越多的组织在K8S上部署数据库服务，面临着重大挑战。集成新的数据库引擎通常需要开发一个专门的Kubernetes operator，管理资源提供以及高可用性、备份和恢复、配置管理等重要维护任务。 本场演讲将介绍一个支持各种数据库引擎的通用operator框架，实现快速、最小代码集成。我们将从中国移动云的一个案例研究中介绍如何使用这个框架将新的云原生数据库引擎集成到K8S中，通过最小的编码和减少时间投入来实现，避免通常需要开发专门operator所需的大量Golang编码。