In parallel, Turbonomic Application Resource Management will continuously generate VM scale actions that are fully aware of the existing RI inventory. RI-Aware scaling means that when workloads require resize, Turbonomic will first assess the current RI inventory and will size to an available RI, resulting in optimal performance at the lowest cost. The same applies to idle workloads, even if already covered by RI, Turbonomic will precisely size them to a best compute offering that will provide better savings and performance. The new size could be a different RI, and the current RI might be used by a different VM that could benefit from it.
Most cost optimization solutions use different analysis engines for RI purchases and workload rightsizing; most will rightsize without considering existing RI inventory. Turbonomic is the only AI-powered platform that uses the same AI engine to generate RI purchasing recommendations, and automatable RI-aware rightsizing actions.
Reserved Instances are one of the best ways to control and reduce the spend on Azure and AWS, but with significant savings come significant overhead. Effectively managing RIs is a hugely challenging endeavor with a single cloud, and it is beyond human scale when adopting a multicloud strategy. Using Turbonomic to manage your public clouds will guarantee application performance at the lowest cost possible while being business compliant.
Application Resource Management offers continuous sizing of workloads based on application demand, coupled with accurate and trustworthy RI purchase recommendations that help organizations stay within budget while unlocking the elasticity and operational agility of the public cloud. Give our platform a chance and see for yourself.