Exploring Methods for Optimizing Cost and Resource Consumption of Pivotal Platform on Microsoft Azure
As organizations ramp up their public cloud usage, there’s an inevitable moment of sticker shock. “I thought this was going to be cheaper,” you’ll say. An explosion of workloads, unique environments, and geographic expansion all contribute to higher-than-expected compute costs. This paper introduces a variety of cost- optimization techniques for running Pivotal Platform on Microsoft Azure. You’ll see how to make informed choices that lower your infrastructure footprint and reduce your cloud computing costs. As you start to
treat compute as a market, and cloud as elastic, you begin to realize the true benefits of the cloud computing model.
By Amber Alston, Dan Baskette, John Feminella, Bryan Friedman, Justin Seely, and Amit Gupta