Optimizing Big Data Workloads

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Presented by

Ron Gruner- Granulate’s VP R&D, Ron Sobol- R&D Team Lead

About this talk

Join Ron Gruner, Granulate’s VP R&D, and Ron Sobol, R&D Team Lead, for an intimate session on how your organization can optimize big data workloads to reduce infrastructure costs by 60% and improve performance using Granulate’s Real-Time continues optimization solution. We will cover the main practices of big data, the building blocks of big data workloads, the challenges that come with scale, and how Granulate’s product enables organizations to tap into unfulfilled performance potential improving metrics, including CPU utilization and job completion time with no R&D efforts.

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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.