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Panasas

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  • Maximizing Scale-Out Performance & Reliability With the Right Network Protocol Maximizing Scale-Out Performance & Reliability With the Right Network Protocol David Sallak, VP of Product Management and Industry Marketing Recorded: May 19 2016 37 mins
    Learn how the right parallel data access protocol delivers higher performance than what can be achieved with industry standard protocols such as NFS and SMB. Avoid the load-balancing and congestion side-effects imposed by NFS and SMB and get ready for the exceptional performance of scale-out NAS with parallel data access.

    Aggregate workloads with multiple compute clients must be able to access data directly from where it resides on shared-access storage, instead of having data access managed by an intermediary filer head. This was accomplished with first-generation scale-out clustered storage. Making the next cost-effective performance leap requires multiple compute clients to access data and metadata across the entire cluster in parallel, rather than restrict client I/O to the single node connection of a scale-out storage cluster. When you dramatically increase the throughput performance of client applications by accessing all nodes of a scale-out cluster, you boost the productivity of all users, while also eliminating hot spots on the clustered storage.

    Get ready to unleash the storage performance your business has been waiting for.
  • Scale-up vs Scale-out - Scalable Storage Architecture Scale-up vs Scale-out - Scalable Storage Architecture Panasas Recorded: Apr 28 2016 44 mins
    Does your storage system scale as you grow?
    Should you go with scale-up or scale-out architecture?
    Which hybrid scale-out NAS is right for you?
    Netapp, EMC Isilon, Panasas, Lustre - which one is the best fit for you?

    In this on-demand webinar, Panasas's Andre Franklin, Sr. Product Marketing Manager presents on:

    - Scale and Scalability
    - Scale-up vs. Scale-out
    - Measuring Scalability


    Gain competitive advantage with scalability.