The growing volume of cloud-based applications, services and cyber-physical IoT solutions presents vital challenges linked to resource allocation, misconfiguration, scaling, and running software updates. Various solutions and applications have different hardware and energy requirements of the involved elements. Hence, the recent technology trends suggests transferring some more complex computational tasks on devices that leverage fog computing concept. Obviously, the tangible outcome in that case is the distribution of the processing capacity closer to the data sources. This often gives the user better control over the data with respect to the privacy, integrity, and security. The Intelligent Operator proposal introduced in this paper addresses application misconfiguration problems in a cloud environment. Its main goal is to provide better maintainability and scalability of the deployed applications.

基于云的应用程序，服务和网络物理物联网解决方案的数量不断增长，提出了与资源分配，配置错误，扩展和运行软件更新相关的重大挑战。各种解决方案和应用程序对所涉及元素的硬件和能耗要求不同。因此，最近的技术趋势表明，在利用雾计算概念的设备上转移了一些更复杂的计算任务。显然，在这种情况下，切实的结果是处理能力的分布更接近数据源。这通常使用户可以更好地控制数据的隐私，完整性和安全性。本文介绍的Intelligent Operator提议解决了云环境中的应用程序配置错误问题。