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Farid Yavari

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Top Stories by Farid Yavari

Today, in most data centers, cloud, no Structured Query Language (No-SQL) and analytics infrastructures have been largely deployed on a direct-attached storage (DAS) architecture and is generally a Total Cost of Ownership (TCO) -driven deployment. The DAS approach binds the compute and storage resources together, preventing independent scaling and tech refresh cycles. The converged DAS model works very well at smaller scale, but as the infrastructure grows to a substantial size, wasted compute or storage can greatly affect the TCO of the environment. Since the DAS model is constrained by the available slots in a server, scale is limited and often quickly outgrown. In some compute heavy environments, there may be enough DAS allocated to the servers, but the work load needs more Central Processing Units (CPUs), therefore some of the allocated DAS stays unused when ad... (more)

Using Software Abstraction and Commodity Storage Hardware in Hyper-Scale Centers | @CloudExpo #Cloud

There are many challenges involved in architecting a resilient, scalable storage infrastructure for the next generation of hyper-scale modern data centers. In our previous blog post, we covered how to build a disaggregated storage model out of commodity hardware for lowest Total Cost of Ownership (TCO) in today's hyper-scale data centers. Deploying commodity hardware usually requires an intelligent orchestration and management software like FreeStor® to provide an abstraction layer separating heterogeneous storage hardware from the applications. FreeStor enables deployment of s... (more)

Trends in Hyper-Scale Storage for Growing Data Center Workloads

Storage has finally become an interesting field, full of innovation and change, addressing growing new requirements for storage flexibility, density and performance. The falling prices of flash, the introduction of various flavors of storage class memory, combined with increasing appetite for commoditization of the data center infrastructure, has helped fuel the innovation in how data is stored and accessed. Companies are faced with the challenges of how to store their ever growing data efficiently, at a cost point that is palatable to CTOs and CFOs, while keeping the right leve... (more)