Enterprise Data Cloud: Managing Data, Not Just Storage
August 6 | Register Now Infrastructure teams have always managed applications. AI requires them to manage data. That's a different challenge, and most platforms weren't built for it. The Enterprise Data Cloud architecture from Everpure bridges that gap, bringing data intelligence into the same platform infrastructure teams already manage, so infrastructure and data teams are finally working from a single, unified view. In this session, we'll dig into what it means to manage a platform built for both operational performance and AI readiness, and the changes when infrastructure can finally gain visibility into its data, not just storage. Key takeaways: Why the shift from application-centric to data-first infrastructure changes how platforms need to be managed How Everpure brings data intelligence into the operational layer without adding tools, teams, or complexity What shared visibility across infrastructure and data teams actually unlocks for AI initiatives How to manage a platform that serves every workload, from archive to AI Register Now!30Views0likes0CommentsVM Analytics for Xen
Hi, we have recently brought Citrix Xenserver into our environment and have purchased an X20 for the storage component for this. We have an X50 for our VMware environment and physical servers needing drives assigned (as well as leveraging File on that array). Do love the VM analytics that Pure1 provides in from our VMware environment. Just wondering if other Hypervisors (such as Xen) are on the roadmap to also get this feature available in Pure1?Solved230Views0likes2CommentsFusion preset: VMFS datastore volumes for VMware ESXi clusters (with two-tier snapshots and QoS)
Hi all, I put together a Fusion preset for one of the most common block use cases in our environment: provisioning VMFS datastore volumes for a VMware ESXi cluster. What it does: - 4x 4 TiB datastore volumes on a FlashArray//X storage class (adjust count/size to your cluster design) - Two-tier snapshot retention: hourly snapshots kept for 1 day (fast rollback) plus daily snapshots kept for 30 days - Per-volume QoS limit (50k IOPS / 1 GiB/s) so a single datastore cannot starve the array - An "environment" parameter (prod/test/dev) that is requested at deployment time and written into the workload tags for filtering and chargeback The JSON follows the conventions of the official PureStorage-OpenConnect/fusion-presets repository, including the _comment documentation style. One honest note is included in the preset itself: array-side snapshots of VMFS datastores are crash-consistent, not VM-consistent, so treat them as an extra safety net next to your backup solution. GitHub link: https://github.com/knabespecht/pure_workflows/blob/main/presets/vmware-esxi-datastores.json Feedback welcome, especially on the QoS defaults and retention values you use for similar setups.352Views4likes1CommentAsk Us Everything about Purity Upgrades!
💬 We had an amazing Ask Us Everything, this past Friday, June 5th at 9 AM Pacific. It was all about Purity Upgrades. If you missed it or still have a burning question, don't fret! Feel free to ask it here and we'll get it answered for you by our experts! mbednar​, greGPT​ plus kevinr​ were the moderators and experts who answered your questions during the conversation and will get to here on the community as well. If you want to catch the replay, check out the recording here!46Views2likes0Comments