Auto-Scaling Caches

Auto-Scaling Caches

Application caches in modern systems must be manually tuned and sized in response to changing application’s workload. A balance must be achieved between cost, performance and revenue loss from cache sizing mis-matches. However, caches are inherently nonlinear systems making this exercise equivalent to solving a maze in the dark.

Until now! The industry’s first self-tuning and auto-scaling solution for application caches leverages breakthrough predictive algorithms.  Imagine your cache self-tuning in real-time in response to changing workloads, thereby unlocking huge improvements in cost, efficiency, performance and observability.

In this session, we cover how auto-scaling cache delivers impressive gains in performance and observability together with a live demo of multi-tiered cache scaling with changing workload

  • Why static caches leave so much performance on the floor?

  • What is a auto-scaling for caches and how does the cache automatically adapt to changing application workloads?

  • The efficiency, QoS, performance SLAs/SLOs and cost tradeoffs that auto-scaling caches enable 

  • Live demo of auto-scaling multi-tiered cache as workload changes

Room C


Irfan Ahmad is the CEO and Cofounder of CachePhysics. Previously, Irfan served as the CTO of CloudPhysics which he cofounded in 2011. Under his leadership, CloudPhysics brought to market and scaled the industry's first SaaS Virtualized IT Operations Management product. Irfan was at VMware for 9 years, where he was R&D tech lead for the DRS team and co-inventor for flagship products, including Storage DRS and Storage I/O Control. Before VMware, Irfan worked on the Crusoe software microprocessor at Transmeta.

Irfan is an inventor on more than 40 granted patents. Irfan has published at ACM SOCC, USENIX FAST, ATC and IEEE IISWC and has chaired HotStorage, HotCloud and VMware’s R&D Innovation Conference. Irfan serves on steering committees for USENIX HotStorage and HotCloud. Irfan has served on program committees for FAST, MSST, HotCloud and HotStorage among others and as a reviewer for the ACM Transactions on Storage. Irfan earned his pink tie from the University of Waterloo.

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