In order to meet the rapidly changing requirements of the Cloud-native dynamic execution environment, without human support and without the need to continually improve one’s skills, autonomic features need to be added. Embracing automation at every layer of performance management enables us to reduce costs while improving outcomes. The main contribution of this paper is the definition of autonomic management requirements of Cloud-native applications. We propose that the automation is achieved via high-level policies. In turn autonomy features are accomplished via the rule engine support. First, the paper presents the engineering perspective of building a framework for Autonomic Management of Cloud-Native Applications, namely AMoCNA, in accordance with Model Driven Architecture (MDA) concepts. AMoCNA has many desirable features whose main goal is to reduce the complexity of managing Cloud-native applications. The presented models are, in fact, meta-models, being technology agnostic. Secondly, the paper demonstrates one possibility of implementing the aforementioned design procedures. The presented AMoCNA implementation is also evaluated to identify the potential overhead introduced by the framework.

为了满足Cloud-native动态执行环境的快速变化的需求，在没有人工支持的情况下并且不需要不断提高自己的技能，需要添加自主功能。在绩效管理的每一层采用自动化，可以使我们降低成本，同时提高结果。本文的主要贡献是定义了云原生应用程序的自治管理要求。我们建议通过高级策略实现自动化。反过来，自治功能是通过规则引擎支持来实现的。首先，本文介绍了根据模型驱动架构（MDA）概念构建云本机应用程序自治管理框架AMoCNA的工程观点。AMoCNA具有许多理想的功能，其主要目标是降低管理云原生应用程序的复杂性。所提出的模型实际上是元模型，与技术无关。其次，本文演示了实现上述设计程序的一种可能性。还评估了提出的AMoCNA实现，以识别框架引入的潜在开销。