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Highly Scalable Microservice-based Enterprise Architecture for Smart Ecosystems in Hybrid Cloud Environments

机译:基于高度可扩展的微服务,用于混合云环境中的智能生态系统的企业架构

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Conventional scaling strategies based on general metrics such as technical RAM or CPU measures are not aligned with the business and hence often lack precision flexibility. First, the paper argues that custom metrics for scaling, load balancing and load prediction result in better business-alignment of the scaling behavior as well as cost reduction. Furthermore, due to scaling requirements of structural-non-business-services, existing authorization patterns such as API-gateways result in inefficient scaling behavior. By introducing a new pattern for authorization processes, the scalability can be optimized. In sum, the changes result in improvements of not only scalability but also availability, robustness and improved security characteristics of the infrastructure. Beyond this, resource optimization and hence cost reduction can be achieved.
机译:基于一般指标的传统缩放策略,例如技术RAM或CPU测量措施不与业务对齐,因此通常缺乏精度灵活性。首先,本文认为,用于缩放,负载平衡和负载预测的自定义度量结果导致缩放行为的更好的业务对齐以及降低成本。此外,由于结构 - 非商业服务的缩放要求,现有的授权模式,例如API-Gateways导致缩放行为效率低下。通过为授权过程引入新模式,可以优化可伸缩性。总之,变化不仅可以改进不仅可以扩展性,还导致了基础设施的可用性,稳健性和改进的安全特性。除此之外,可以实现资源优化和降低成本。

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