Enterprise workloads are ever-increasing with teams adding new functionality and launching new releases more frequently. Throttled by the adoption of microservices and the shift to move workloads to the cloud, these activities each have a significant impact on the underlying infrastructure and the operation cost associated with it.
In the blog, the link shared below, I have shared how with the help of machine learning and big data we can both monitor and forecast infrastructure capacity to help perform capacity planning optimally and effectively.
https://www.broadcom.com/sw-tech-blogs/aiops-blog/capacity-analytics