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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An Intel Company. Granulate's autonomous workload optimization solution continuously optimizes your service’s runtime resource management, enabling immediate application performance improvements and reducing infrastructure costs by up to 45% - with no code changes required.