基于云原生架构的企业级Elasticsearch平台研究
Enterprise-grade Elasticsearch Platform Research Based on Cloud-Native Architecture
门玉森 1韩超 1邓罡 1李睿 1李建林 1曹铭轩 1吕旖旎 1杨元1
作者信息
- 1. 中国民航信息网络股份有限公司,北京 100318
- 折叠
摘要
为解决Elasticsearch在企业级应用场景下,基础资源利用率与运维效率低、容器的数据持久化及资源需求多样性等方面问题,基于Ceph和Kubernetes构建了云原生的企业级Elasticsearch平台.对Elasticsearch平台的架构高可用性、数据持久化、容器化部署及资源标准化交付进行关键设计,对架构的优势进行定性分析,并与传统部署架构进行性能方面的定量对比测试.实验结果表明,该平台在架构设计方面优势明显,在性能方面表现良好,在企业级应用中具有较好的运维与经济效益.
Abstract
In order to solve the problems of Elasticsearch in enterprise-level application scenarios,such as low utilization and O&M efficien-cy,data persistence of containers and diversity of resource requirements,an enterprise-grade and cloud-native Elasticsearch platform is built based on Ceph and Kubernetes.The architectural high availability,data persistence,containerized deployment and standardized resource de-livery of the Elasticsearch platform are designed crucially.The advantages of the architecture are qualitatively analyzed and the performance is quantitatively tested with the traditional deployment architecture.The experimental results show that the platform has obvious advantages in ar-chitecture design,good performance,good O&M and economic benefits in enterprise-level applications.
关键词
Elasticsearch/云原生/分布式存储/分布式计算/容器化Key words
Elasticsearch/cloud-native/distributed storage/distributed computing/containerization引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据