Abstract: In an example, a cloud service management node includes a knowledge base having a plurality of billing rules for a cloud computing environment, a processor, and a memory coupled to the processor. The memory may include a discount predictor module to receive an actual bill related to consumption of a cloud service in the cloud computing environment. Further, the discount predictor module may determine a variation between the actual bill and an expected cost from a public rate card by comparing the actual bill with the expected cost. Furthermore, the discount predictor module may evaluate the plurality of billing rules to predict a discount type and a discount associated with the discount type that matches the variation between the actual bill and the expected cost from the public rate card. Further, the discount predictor module may output the discount type and the discount on an interactive user interface.

Abstract: A maintenance recommendation for containerized services can find a time to perform maintenance on a particular service based on resource usage patterns such that the maintenance will have a reduced impact on dependent services. The dependent services can be determined for the particular service based on network interactions between the services.

Abstract: A maintenance recommendation for containerized services can find a time to perform maintenance on a particular service based on resource usage patterns such that the maintenance will have a reduced impact on dependent services. The dependent services can be determined for the particular service based on network interactions between the services.