It’s difficult to keep track of cloud resources quickly enough to optimize them continually. This is one of the reasons why cloud cost management is frequently a point-in-time activity, meant to optimize at a higher level than at the level of individual resources. Companies need to find a way to monitor costs in real-time, get notified about anomalies, and forecast these expenses more accurately. This is where an automated cloud optimization solution can help – by reacting to changes in demand in real-time, it adjusts resources seamlessly and always look for better instances to run your workloads.