Abstract: Apparatuses and methods related to dynamical adjustment of thresholds are disclosed. A method for dynamic adjustment of thresholds may include obtaining costs related to computing resources that have been used by a user. A resource utilization threshold may be dynamically adjusted based on at least one parameter. The at least one parameter may comprise the costs related to the computing resources that have been used by the user. A utilization rate of the computing resources by the user may be compared to the adjusted threshold.

Abstract: Maintaining a service on a cloud network may include receiving a set of status data associated with the service and performing a scale action on the cloud network based on a scale rule applied to the set of status data. The set of status data may be related to a set of resources utilized by the service, a performance level of the service, and a workload volume of the service. The scale rule may include a utilization condition, a quality condition, a workload condition, and a budget condition.

Abstract: Examples relate to dynamically adjusting thresholds. The examples disclosed herein enable obtaining costs related to computing resources that have been used by a user. A resource utilization threshold may be dynamically adjusted based on at least one parameter. The at least one parameter may comprise the costs related to the computing resources that have been used by the user. The disclosed examples further enable comparing a utilization rate of the computing resources by the user to the adjusted threshold.

Abstract: Maintaining a service on a cloud network may include receiving a set of status data associated with the service and performing a scale action on the cloud network based on a scale rule applied to the set of status data. The set of status data may be related to a set of resources utilized by the service, a performance level of the service, and a workload volume of the service. The scale rule may include a utilization condition, a quality condition, a workload condition, and a budget condition.

Abstract: A system (100) includes a resource model (120) that includes application parameters (184) and computing resource parameters (194) that describe how an application and platform are implemented on cloud resources (110). A topology model (140) includes linkage structures (144) that link the application parameters (184) and the computing resource parameters (194) to describe a topology for the application and the platform on the cloud resources (110). A monitoring policy template (150) includes a policy (154) based on the linkage structures (144) in the topology model (140), wherein the policy (154) is to provide an abstracted specification to enable monitoring the topology for the application and the platform on the cloud resources (110).