Progressive methods for reducing cloud compute costs

Presented by

Corey Quinn - The Duckbill Group, Bailey Caldwell - ex-Flexera, Asaf Ezra - Granulate

About this talk

After understanding that moving to the cloud will not necessarily save companies money, especially if they've just used a lift and shift approach, cloud cost management has become an increasingly difficult problem to solve. In this session, Corey Quinn, Chief Cloud Economist at The Duckbill Group, Bailey Caldwell, former VP of Solution Engineering at Flexera, and Asaf Ezra, Co-founder, and CEO at Granulate review old-generation solutions and practices that companies are leveraging in their optimization strategies (rightsizing, discount purchasing, etc.) and explain why these methods are not enough and have been saturated. Then, we'll explore the ongoing shift in the market from a reactive to an active optimization approach and deep dive into the progressive and new methods for reducing cloud compute costs you should be exploring and using in your organization, focusing on real-time, autonomous, continuous optimization.

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Granulate’s technology learns the resource management patterns of your application on cloud or on-prem infrastructure and continuously optimizes it at the kernel and runtime level. Customers can start by activating Granulate on just a single VM, but no matter the size of the cluster they will see results of up to 5x throughput, 40% reduced latency and 60% reduced cloud costs. Performance gains come regardless of other optimization solutions in use, and engineers aren’t required to change the code whatsoever.