Research on Operation and Maintenance of Decentralized Data Microservice Automation Based on Kubernetes

Kubernetes defines pod as stateless, so the pod replica data of distributed data architecture in Kubernetes is not completely consistent. Different business data will be considered as different applications. There are problems such as complex operation and maintenance process, low efficiency, uncontrollable, not better rational utilization of resources, and low application security. This paper proposes a subcomponent processing strategy to achieve automated operation and maintenance. This strategy uses Prometheus to collect Kubernetes resource monitoring data in units of pod, its scheduling component analyzes the data, adjusts the resource allocation of Kubernetes and the routing configuration of the network edge gateway, adopts the configuration center to uniformly manage the configuration content, simplifies the configuration management, and its synchronization component updates the action according to the latest configuration information, so as to achieve the purpose of automatic operation and maintenance. The performance of the strategy is evaluated in two stages. The first stage experiment proves that the strategy is efficient, functional verification and operation effect. The second stage proved that it can cope with the diversified functional requirements of decentralized data microservices and solve problems such as operation and maintenance without affecting the processing of pod requests.