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Service Discovery Based Blue-Green Deployment Technique in Cloud Native Environments

机译:云本机环境中基于服务发现的蓝绿色部署技术

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The paradigm of the cloud computing model brings the expectations of the services consumed from the cloud to be always on and available for global consumption around the clock. Hence, the challenge for the service providers becomes to accommodate the planned maintenance windows to keep them to a minimum duration in order to reduce the impact on the consumers of their services. In this paper, we assess the continuous delivery methodology called Blue/Green deployment which targets to enable service updates with zero maintenance windows, and thus with no disruption to the end users. To overcome current issues we proposed an optimized Blue/Green technique based on automated service discovery, dynamic routing and automated application deployment. Our experiments indicate that the service discovery based Blue/Green deployment has a better performance for service continuous delivery compared to the available technologies.
机译:云计算模型的范式带来了人们对从云中消费的服务的期望,这些期望将始终存在并且可用于全天候的全球消费。因此,服务提供商面临的挑战是如何容纳计划的维护时段,以使其保持最短的持续时间,以减少对服务使用者的影响。在本文中,我们评估了称为Blue / Green部署的连续交付方法,该方法旨在以零维护时段实现服务更新,从而不会对最终用户造成干扰。为了克服当前的问题,我们提出了一种基于自动服务发现,动态路由和自动应用程序部署的优化的蓝/绿技术。我们的实验表明,与可用技术相比,基于服务发现的Blue / Green部署在服务连续交付方面具有更好的性能。

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