What workloads you must move to the Cloud – Part 3 (for Batch workloads)
Batch workloads date back to the early days of computation when mainframes dominated the computing world. They still play a significant role in different disciplines including business, engineering, medical, healthcare, and other areas. Batch workloads are normally designed to run in the background and are meant to process huge amounts of data. What are the challenges of running batch workloads on-premise? 1. Poor customer experience Less availability of business functionality On-premise IT ecosystems typically have batch workloads that need an extensive amount of computing and storage provisioning. This is why real-time workloads cannot share environments with batch workloads due to...
