12/17/2023 0 Comments Nimble storage af1000In a Unified Flash Fabric, workloads can be moved non-disruptively to the applications in real time between All Flash and Adaptive Flash. Our All Flash systems are managed as a single entity. Our AFAs (AF1000, AF3000, 5000, 7000 & AF9000), can be deployed either in isolation or as part of an existing scale-out cluster. In today’s IT world, whether you’re juggling balls or managing silos, fewer is always easier. Quicker response to business requirement changes.Better resource utilization and lower operational costs.Unlike IT silos, centralization and consolidation ensure: Silos Belong in Farms not in Data Centers After 2 years in development, we’ve further extended our simplicity, ease of use, performance, scalability, investment protection and affordability to the All Flash market in ways customers are sure to appreciate. Our AFA launch marked a significant day in our company’s history. Rules were Made to Be Broken: Nimble has Democratized Flash The end result is, storage management tasks that are inefficient, troubleshooting efforts that are largely ineffective and capacity and performance planning tasks that are as accurate as a Steve Harvey beauty pageant announcement. While traditional on-premises storage management systems generate large amounts of raw telemetry data, they are unable to correlate all this information into actionable, easy to consume, easy to understand formats. However, with the vast majority of today’s storage management systems, these tasks are based on cumbersome manual efforts, often require the deployment of multiple tools, are time consuming and lack end-to-end infrastructure visibility. Due to the financial burden and the inflexibility of most AFAs, customers are left to decide which applications need to be part of a Disaster Recovery Plan. Throw an AFA in the mix and for most businesses, DR becomes a pipe dream. The average data reduction is not the arithmetic mean but the harmonic mean, therefore “a very high reduction ratio in one dataset has limited benefit to the overall reduction ratio in the presence of other datasets”.Īs one of our co-founders, Umesh Maheshwari, explains in his blog, the overall reduction ratio “ is dominated by datasets that are larger and datasets that do not reduce well.” Could it be that global data reduction techniques, while good in their simplicity may ultimately result in greater resource strain and a bit less in overall space savings? Could there be an additional, optional, choice to help squeeze out greater efficiencies while eliminating some of the resource burden? Disaster Recovery: With Deep Pockets You Too Can Have An All Flash DRĭepending on what you’re doing, Disaster Recovery (DR) costs can already be high. As multiple workloads are then added to the production system, reduction rates tend to drop significantly. Later in production, they start making general data reduction assumptions based on their PoC experience. What is happening is that during PoCs, customers may test one or two workloads and see some very good data reduction results. However, with the introduction of AFAs, we’re seeing IT being forced to adopt the very same thing they previously avoided. In black and white, here is what is really happening: Silo EverywhereĪs enterprises continue to consolidate and virtualize, moving away from traditional silos has enabled IT to become more agile, reduce operational costs, expedite deployments and better utilize assets. While the All Flash Array (AFA) market is growing very rapidly, Gartner’s statement is indicative of what has been happening in the Datacenter with customer expectations and harsh reality. The gist of Gartner’s “Critical Capabilities for Solid State Arrays” report (June, 2015) is described in the above six sentences. Price, performance and ease of use are still the leading purchase criteria however, during qualification, most customers request extensive data services and interoperability on par with general-purpose storage arrays (GPAs).” “Customers should choose solutions that do not require extensive storage infrastructure changes and redesign, and are backed by strong service and support that includes the ability to deliver product enhancements and new features non-disruptively.
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