With VM-Aware NFS datastores, admins can apply a new policy to the a datastore directory called AutoMD, making each VM created in the store a managed directory seen by FlashArray. Enterprises don’t need to take snapshots at the datastore level, which can use up more capacity. Pure integrated NFS datastore management, virtual machine snapshots, and VM restore into its vSphere Plugin. In addition, Pure integrated NFS datastore management in the vSphere Plugin for greater granularity at the virtual machine level for management and security. The managed directory includes policies for independent or shared snapshots, export, and quotas and let the organization review space and performance of each directory. Pure also is moving the management from the file-system level to the directory level that combined with configurations based on policy to make handling files at any scale, with all operations being applied to both block and file. It supports use cases like VMware and NFS datastores, user directories and profiles, content repositories, and data protection and backup. It’s workflow granular management, which is not the typical approach and particularly when it comes to virtualization.” …What we’ve done effectively for the block side, we bring in terms of simplicity to the file side of the house. What it also comes with is a very simple approach of management. You can oversubscribe, you can send information. It’s just one big pool of storage that you can consume. “We treat the system as one big pool and whichever part of the system or the services are consuming the storage can do so,” he says. There are consequences if planned incorrectly. It’s what Skovrup calls “storage Tetris,” with admins trying to optimize those limits. Every FlashArray has a self-managed storage pool shared among both protocols, eliminating the need seen in legacy systems and their size limits to preplan what they’ll need. Pure this week is addressing this with File Services for FlashArray, its own all-flash platform unifying block and file storage that includes a flexible global storage pool for both block and file protocols that storage pros can draw from. They also want something that’s highly optimized, things that are built for flash from the ground up.” What customers want is something that’s equally simple for both of worlds. The other aspect is when you layer an architecture, you often don’t end up getting the simplicity, the ease of use of them. It doesn’t give a first-class citizen architecture where you can treat each of them equally and use them accordingly. “If you think about lots of architectures that are folded into the multi-protocol protocol realm, they have blocks on top of files or files on top of blocks, so it doesn’t give that first-party experience. “What is it that customers really want? They want a native experience that means no compromise on files versus blocks,” he says. It makes for complex and inflexible systems optimized for one model over the other, with multiple layers, scaling problems, and size limits for their data pools, Skovrup, vice president of product management for Pure Storage’s FlashArray business, tells The Next Platform. What many are left with are is the need to take existing architectures – say block – and layering file on top of it. There are strengths in having a separate architecture, particularly in that each is optimized for the specific storage tool.įor vendors, the problems come from years of building up these disparate architectures and now trying to find a way to bolt them together. Peter Skovrup understands both the trend toward multiple-protocol storage platforms and the challenges most vendors have in pulling this off and many enterprises – that have for years lived with separate architectures for each – have in adopting it. Dell’s PowerMax platform with embedded the vendor’s NAS (eNAS) service also looks to pull the two under one roof. The HPE hardware can be configured for either block, file, or both and it held together through an NVM-Express interconnect. More recently, we wrote about Hewlett Packard Enterprise earlier this month and its Alletra MP, a disaggregate storage cluster that provides a common hardware platform for – initially block and file storage – and likely object storage down the road. We have talked about some of these efforts, such as with DataCore Software back in 2019 when it looked to unify file and object through its software-defined storage technology. Companies have been working for years to pull together block, file, and object storage under a single umbrella, giving enterprises that are at times dealing with petabytes of data spread across datacenters, the cloud, and the edge a simpler way to manage, organize, and access all that information.
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