Efficient Microservice Resource Management with CrystalClear Time Series Analysis Engine

CrstalClear Time Series Analysis Engine in Federator.ai analyzes past dynamic changes of resource metrics and forecasts future resource usage. With a correlation-based algorithm, it generates a large number of predictions in a short time with high accuracy; thus making it a low-cost solution for resource management for microservices. 
Using the primary workload metric of an application and the resource usage metrics of microservices of the same application, CyrstalClear Time Series Analysis Engine identifies the dependencies and correlation between the primary workload metric and all other microservice metrics and uses this knowledge to quickly generate the predictions of resource usage of microservices. It significantly reduces the time needed to generate these predictions compared to traditional time-series forecasting algorithms. 

How to speed up in CrystalClear Time Series Analysis Engine