What is Predictive Rebalancing?
Predictive Rebalancing is based on a machine learning model used for identifying and predicting spot capacity usage and interruptions in the public cloud. Its purpose is to predict which markets will experience interruptions and replace the instances within these markets before the interruption. This prevents under-capacity and ensures availability of resources.
The rebalancing model is application–driven, combining advanced predictive algorithms with an understanding of infrastructure and real-time analysis of workload requirements.
The result is a process that takes the unique requirements of each workload into consideration to automatically provision and allocate cloud infrastructure in the most efficient and effective way possible.
Elastigroup provides a centralized view of capacity, optimization and availability for meeting your specifications to allow for complete control over your Elastigroup settings:
This option enables you to define availability preferences and gain visibility into EC2 spot instance availability and lifespan. Elastigroup can be configured to honor the following criteria for instance availability: