With the increasing utilization of cloud computing and container technologies, orchestration is becoming an important area on both cloud and container levels. Beyond resource allocation, deployment and configuration, scaling is a key functionality in orchestration in terms of policy, description and flexibility. This paper presents an approach where the aim is to provide a high degree of flexibility in terms of available monitoring metrics and in terms of the definition of elasticity rules to implement practically any possible business logic for a given application. The aim is to provide a general interface for supporting programmable scaling policies utilizing monitoring metrics originating from infrastructure, application or any external components. The paper introduces a component, called Policy Keeper performing the auto-scaling based on user-defined rules, details how this component is operating in the auto-scaling framework, called MiCADO and demonstrates a deadline-based scaling use case.

中文翻译：

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支持云上的容器和虚拟机的可编程自动缩放规则

随着云计算和容器技术利用率的不断提高，编排已成为云和容器级别的重要领域。除资源分配，部署和配置外，就策略，描述和灵活性而言，扩展是业务流程中的关键功能。本文提出了一种方法，其目的是在可用的监视指标和弹性规则的定义方面提供高度的灵活性，以针对给定的应用程序实际实现任何可能的业务逻辑。目的是提供一个通用接口，以利用源自基础结构，应用程序或任何外部组件的监视指标来支持可编程缩放策略。本文介绍了一个组件，