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Join Everpure Cloud at Pure Accelerate 2026
If you're coming to Pure Accelerate, make time for the Everpure™ Cloud sessions. This year's lineup brings together breakout sessions, flash talks, and a community meetup focused on modern cloud storage across Azure and AWS, workload design, hybrid cloud strategy, and practical ways to improve cost efficiency and operational simplicity. Whether you're evaluating how to support Azure VMs at scale, looking for better patterns for hybrid workloads, or trying to bring more predictability to cloud storage costs, these sessions are designed to help you move from strategy to execution. Why attend the Everpure Cloud sessions? Cloud teams are under pressure to do more than just migrate. They need to control costs, simplify operations, and build architectures that can adapt as business needs change. At Pure Accelerate, the Everpure Cloud sessions will focus on exactly those conversations, with content spanning architecture, scale, FinOps, storage operations, and real-world workload guidance. This is a strong opportunity to hear how Everpure Cloud supports modern cloud environments across Azure, AWS, and hybrid use cases, while giving infrastructure teams more flexibility in how they scale and manage storage. Featured Everpure Cloud sessions at Pure Accelerate Breakout sessions Modern Azure Storage with Everpure Cloud: Architecture, Scale & FinOps — Thursday, June 18, 1:45–2:30 PM PT. Configuring Workloads for Everpure Cloud: Architectures, Patterns, and Gotchas — Thursday, June 18, 1:45–2:30 PM PT. Maximizing Hybrid SQL Server 2025 on Azure with Everpure Cloud — Wednesday, June 17, 2:45–3:30 PM PT. These breakout sessions are ideal for attendees who want a deeper look at architecture decisions, workload best practices, and ways to align cloud storage performance with cost and scale requirements. Flash talks Everpure Cloud Azure Native for Azure VMs in 15 Minutes — Thursday, June 18, 2:45–3:05 PM PT. Accelerating Storage Operations with Everpure Cloud — Thursday, June 18, 3:15–3:35 PM PT. Evolving Everpure Cloud Value: A Smarter Hybrid Cloud Approach for Healthcare— Thursday, June 18, 12:30–12:50 PM PT. Public Cloud Experience, Private Cloud Economics— Thursday, June 18, 12:00–12:20 PM PT. If you want high-value takeaways in a shorter format, these flash talks are a great way to quickly explore how Everpure Cloud can help streamline operations, support Azure VM environments, and improve the economics of cloud storage. Community session Community Meetup: You're Moving to the Cloud: Now What? — Wednesday, June 17, 5:30–6:30 PM PT. This meetup is a great fit for anyone looking to exchange ideas with peers, hear different perspectives on cloud adoption, and join a broader conversation around the challenges and opportunities that come with moving to the cloud. Meet the Everpure cloud team at booth If you're in Las Vegas for Pure Accelerate, stop by the Everpure Cloud showcase booth to continue the conversation in person and to learn how organizations are reducing storage costs, simplifying operations, and scaling hybrid cloud environments more efficiently. Learn more To explore the Everpure Cloud portfolio in more detail, visit the Everpure Cloud webpage. For deeper technical guidance, check out these Knowledge Portal resources: Everpure Cloud Dedicated for Azure documentation Everpure Cloud Dedicated for AWS documentation Everpure Cloud Azure Native documentation Add Everpure Cloud to Your Pure Accelerate Agenda If cloud cost optimization, operational simplicity, and scalable storage architectures are priorities for your team, be sure to add these sessions to your Pure Accelerate schedule. We look forward to seeing you there. Ready to join us in Las Vegas? Register now for Pure Accelerate 2026 and start building your agenda. We look forward to seeing you there.152Views2likes0CommentsDigital Experience Sessions at Accelerate 2026
Accelerate 2026 is fast approaching! Find out how Pure1 and Evergreen® subscriptions provide a unified, AI‑powered control plane to transact, deploy, manage, protect, and optimize your entire Everpure environment across on‑prem and cloud. If this sounds right up your alley, we’ve curated a list of must-attend breakout sessions focused on exactly this. Check out these don’t miss sessions: Enterprise Data Cloud as a Service: Subscription Innovation with Evergreen//One Pure1 Platform Overview: Powering the Intelligent Control Plane Evergreen Portfolio: Always‑On, Always‑Modern Storage Experience Everpure AI Copilot: From Conversations to Intelligent Triaging and Automation Workflow Orchestration in Pure1: Automating Day 2 Operations Will you be joining us in person? Drop a comment below with the session you're most interested in and what you hope to learn! We can’t wait to see you there!10Views1like0CommentsAsk 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!9Views0likes0CommentsWant a Sneak Peek at What's Next for Pure1? We Need Your Feedback!
Hey Everpure Community — We're Sarah and Pranav, a user researcher and designer on the Everpure team working to make Pure1 and Evergreen//One subscriptions work better for the people who rely on them every day. We'd love to hear directly from you, so if this sounds like your world, we hope you'll join us. 👉Fill out this short form to sign up👈 What we're doing We're redesigning how subscriptions work in Pure1, and we want your hands on it before it ships. Our team is working on updates to Service Mode that make Evergreen//One subscriptions easier to navigate and understand. What we're asking We're looking for storage and infrastructure admins who are Pure1 users with active Evergreen subscriptions to join a 1-hour 1:1 interview over Zoom. No prep needed. No right or wrong answers. Just your perspective as someone who lives in these tools day-to-day. Timeline We're looking to conduct the feedback sessions in mid-June. What's in it for you Early access to upcoming designs before anyone else sees them A direct line to the product team shaping the tools you use Your feedback, built into the product — this is how features get better Interested? 👉Fill out this short form to sign up👈 Just drop your name, email, company, and job title. We'll reach out shortly to schedule a session that works for you!175Views6likes0CommentsFlashblade & Ansible collection
Hello community, We are facing some issues with our FlashBlade when provisioning policies with Ansible. We have updated all the components (py-pure-client and the collection), and we are failing on a simple policy deployment. - name: Test purestorage.flashblade.purefb_policy: name: "filesystem_export_policy" enabled: True policy_type: "nfs" at: True client: "mynfsexport.flashblade.local" secure: True security: "sys" permission: "rw" access: "no-squash" fb_url: "{{ fb_host }}" api_token: "{{ fb_api_token }}" The complete stack trace is : The full traceback is: Traceback (most recent call last): File "/home/user/.ansible/tmp/ansible-tmp-1778656887.1852276-3067455-48057529014464/AnsiballZ_purefb_policy.py", line 107, in <module> _ansiballz_main() File "/home/user/.ansible/tmp/ansible-tmp-1778656887.1852276-3067455-48057529014464/AnsiballZ_purefb_policy.py", line 99, in _ansiballz_main invoke_module(zipped_mod, temp_path, ANSIBALLZ_PARAMS) File "/home/user/.ansible/tmp/ansible-tmp-1778656887.1852276-3067455-48057529014464/AnsiballZ_purefb_policy.py", line 47, in invoke_module runpy.run_module(mod_name='ansible_collections.purestorage.flashblade.plugins.modules.purefb_policy', init_globals=dict(_module_fqn='ansible_collections.purestorage.flashblade.plugins.modules.purefb_policy', _modlib_path=modlib_path), File "<frozen runpy>", line 226, in run_module File "<frozen runpy>", line 98, in _run_module_code File "<frozen runpy>", line 88, in _run_code File "/opt/tmp/tmp/ansible_purestorage.flashblade.purefb_policy_payload_xaietsz7/ansible_purestorage.flashblade.purefb_policy_payload.zip/ansible_collections/purestorage/flashblade/plugins/modules/purefb_policy.py", line 4233, in <module> File "/opt/tmp/tmp/ansible_purestorage.flashblade.purefb_policy_payload_xaietsz7/ansible_purestorage.flashblade.purefb_policy_payload.zip/ansible_collections/purestorage/flashblade/plugins/modules/purefb_policy.py", line 4008, in main File "/opt/tmp/tmp/ansible_purestorage.flashblade.purefb_policy_payload_xaietsz7/ansible_purestorage.flashblade.purefb_policy_payload.zip/ansible_collections/purestorage/flashblade/plugins/modules/purefb_policy.py", line 2392, in update_nfs_policy AttributeError: 'ErrorResponse' object has no attribute 'items' fatal: [localhost]: FAILED! => { "changed": false, "module_stderr": "Traceback (most recent call last):\n File \"/home/user/.ansible/tmp/ansible-tmp-1778656887.1852276-3067455-48057529014464/AnsiballZ_purefb_policy.py\", line 107, in <module>\n _ansiballz_main()\n File \"/home/user/.ansible/tmp/ansible-tmp-1778656887.1852276-3067455-48057529014464/AnsiballZ_purefb_policy.py\", line 99, in _ansiballz_main\n invoke_module(zipped_mod, temp_path, ANSIBALLZ_PARAMS)\n File \"/home/user/.ansible/tmp/ansible-tmp-1778656887.1852276-3067455-48057529014464/AnsiballZ_purefb_policy.py\", line 47, in invoke_module\n runpy.run_module(mod_name='ansible_collections.purestorage.flashblade.plugins.modules.purefb_policy', init_globals=dict(_module_fqn='ansible_collections.purestorage.flashblade.plugins.modules.purefb_policy', _modlib_path=modlib_path),\n File \"<frozen runpy>\", line 226, in run_module\n File \"<frozen runpy>\", line 98, in _run_module_code\n File \"<frozen runpy>\", line 88, in _run_code\n File \"/opt/tmp/tmp/ansible_purestorage.flashblade.purefb_policy_payload_xaietsz7/ansible_purestorage.flashblade.purefb_policy_payload.zip/ansible_collections/purestorage/flashblade/plugins/modules/purefb_policy.py\", line 4233, in <module>\n File \"/opt/tmp/tmp/ansible_purestorage.flashblade.purefb_policy_payload_xaietsz7/ansible_purestorage.flashblade.purefb_policy_payload.zip/ansible_collections/purestorage/flashblade/plugins/modules/purefb_policy.py\", line 4008, in main\n File \"/opt/tmp/tmp/ansible_purestorage.flashblade.purefb_policy_payload_xaietsz7/ansible_purestorage.flashblade.purefb_policy_payload.zip/ansible_collections/purestorage/flashblade/plugins/modules/purefb_policy.py\", line 2392, in update_nfs_policy\nAttributeError: 'ErrorResponse' object has no attribute 'items'\n", "module_stdout": "", "msg": "MODULE FAILURE: No start of json char found\nSee stdout/stderr for the exact error", "rc": 1 } If the policy is already set, the playbook runs perfectly fine. The problem occurs when a new policy is injected. However, we have to install the collection from GitHub. It seems that the artifact built and installed by Ansible Galaxy is not correct. Some commits are not propagated. For example, with the FlashBlade collection 1.24 (installed from Galaxy), we have: >>> from pypureclient.flashblade import ( ... PolicyRuleObjectAccessCondition, ... PolicyRuleObjectAccessPost, ... PolicyRuleObjectAccess, ... NfsExportPolicy, ... NfsExportPolicyRule, ... Policy, ... PolicyPatch, ... PolicyRule, ... SmbSharePolicyRule, ... SmbSharePolicy, ... SmbClientPolicyRule, ... SmbClientPolicy, ... ObjectStoreAccessPolicyPost, ... NetworkAccessPolicy, ... NetworkAccessPolicyRule, ... WormDataPolicy, ... ) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/user/conda/envs/ansible/lib/python3.12/site-packages/pypureclient/flashblade/__init__.py", line 40, in __getattr__ raise ImportError(f'module {__package__} has no attribute {name}') ImportError: module pypureclient.flashblade has no attribute PolicyPatch We have compared the archive from GitHub and there are many differences with the upstream collection code. To help, find my my env package : Package Version ----------------- ----------- annotated-types 0.7.0 ansible-core 2.18.5 bcrypt 5.0.0 certifi 2026.4.22 cffi 2.0.0 cryptography 44.0.0 dnspython 2.8.0 invoke 3.0.3 Jinja2 3.1.4 MarkupSafe 2.1.1 packaging 24.1 paramiko 5.0.0 pip 24.2 py-pure-client 1.88.0 pycparser 2.22 pydantic 2.13.4 pydantic_core 2.46.4 PyJWT 2.12.1 PyNaCl 1.6.2 python-dateutil 2.9.0.post0 PyYAML 6.0.2 resolvelib 1.0.1 setuptools 75.8.2 six 1.17.0 typing_extensions 4.15.0 typing-inspection 0.4.2 urllib3 2.7.0 wheel 0.45.0 And our flashblades are running the Purity//FB 4.6.9. If anyone has a lead to help us get our Ansible back up and running, I thank them in advance. We appreciate your help. Matth533Views0likes10CommentsVeeam v13 Integration and Plugin
Hi Everyone, We're new Pure customers this year and have two Flasharray C models, one for virtual infrastructure and the other will be used solely as a storage repository to back up those virtual machines using Veeam Backup and Replication. Our plan is to move away from the current windows-based Veeam v12 in favor of Veeam v13 hardened Linux appliances. We're in the design phase now but have Veeam v13 working great in separate environment with VMware and HPE Nimble. Our question is around Pure Storage and Veeam v13 integration and Plugin support. Veeam's product team mentions there is native integrations in v12, but that storage vendors should be "adopting USAPI" going forward. Is this something that Pure is working on, or maybe already has completed with Veeam Backup and Replication v13?Solved3.4KViews4likes20CommentsAnnouncing the General Availability of Purity//FB 4.7.10 LLR
We are happy to announce the general availability of 4.7.10, the first Long-Life Release (LLR) of the 4.6/4.7 line, providing long-term maintenance of the 4.6 feature set with consistency in capabilities, user experience, and interoperability. For more detailed information about bug fixes and security updates included in each release, see the release notes. Highlights The 4.7 LLR adds many new features and improvements for customers upgrading from the 4.5 LLR: AI and high-performance workload acceleration Major gains for AI, HPC, and other demanding unstructured workloads through higher-performance platform options, increased bandwidth, better read/write concurrency, and S3 over RDMA, provide customers faster time to results, better GPU utilization, and more value from large-scale file and object environments. Lower cost at scale with smarter data placement and efficiency Zero Move Tiering for file and object, larger supported system scale, tenant-level performance controls, and DeepReduce for FlashBlade//E help customers scale capacity more efficiently, improve workload density, and reduce total cost of ownership without adding operational complexity. Stronger security and compliance Important security capabilities including NFS over TLS, mutual TLS, FIDO2 and authentication policy support for SSH, object auditing, and proactive Purity patching, helping customers protect data in flight, strengthen access controls, simplify compliance, and respond faster to risk. Multi-tenancy and service delivery Realms, management access policies, secure multi-tenancy for object, local users and groups, and Fusion workload and preset enhancements give customers stronger isolation, simpler delegated administration, and more consistent service delivery across shared environments and dark sites. Improved observability, resilience, and operations On-box observability, richer protocol and connection statistics, Rapid Replica enhancements, larger-scale file data protection, and hardware-based availability improvements make it easier for customers to troubleshoot faster, protect more data at scale, and run mission-critical environments with greater confidence. This release is supported on the following FlashBlade Platforms: FB//S100, FB//S200 (R1, R2), FB//S500 (R1, R2), FB//ZMT, FB//E, FB//EXA Release recommendations Customers looking for long-term maintenance of the complete 4.6 feature set are encouraged to upgrade to the 4.7 LLR. Customers looking for the latest features as soon as they are available should upgrade to the 4.8 FR. Check out our AI Copilot intelligent assistant for deeper insights into release content and recommendations. EOL schedule The 4.6/4.7 release line is planned to reach End-of-Life (EOL) in April 2029. Links and References Purity//FB 4.7 Release Notes Everpure Product Lifecycle and Support Policies Overview Purity//FB Release and End-of-Life Schedule Purity//FB Release Guidelines FlashBlade Hardware and End-of-Support FlashBlade Capacity and Feature Limits Pure1 Manage AI Copilot446Views0likes0CommentsEverpure Platform and Enterprise Data Cloud Sessions at Accelerate 2026
Accelerate 2026 is right around the corner! Explore all things Enterprise Data Cloud (EDC) with sessions that show how the Everpure platform automates policy-driven storage, simplifies data management, and maximizes performance for critical workloads. If this sounds right up your alley, we’ve curated a list of must-attend breakout sessions focused on the Everpure Platform and EDC. Check out these don’t miss sessions: Everpure Fusion: One Fleet. Zero Complexity FlashBlade Innovations for Modern Workloads: Predictable Performance, Lower Cost, and Simpler Operations Across Varying SLAs Double-Click on the Keynote Announcements: Accelerate the Build of Your Enterprise Data Cloud ActiveCluster File in 15 Minutes: Overview, Setup, and Live Failover Fusion MCP: AI-Powered Fleet Intelligence and Action — On Your Terms 🎤 Featured Speaker We are thrilled to have JD Wallace (jd) leading the charge and sharing deep-dive insights into the future of the platform. Will you be joining us in person? 🙌 Drop a comment below with the session you're most interested in and what you hope to learn! We can't wait to see you there!123Views1like0CommentsAsk Us Everything Recap: How Pure1 Makes Storage Feel… Easy
If you joined the latest Ask Us Everything session on Pure1, one theme came through clearly: storage management does not have to be complicated. This session, driven by questions from the Everpure Community, explored how Pure1 has grown from a monitoring tool into a self-service control plane with planning, assessments, workflow automation, and proactive support intelligence. Here are some of the highlights. “What is Pure1 actually doing for me?” Pure1 has always been rooted in the rich telemetry that Everpure collects from arrays. Today, it gives customers a single, global view of their environment, making it easier to understand fleet health, performance, support status, and risk. The key point from the experts was that Pure1 is not just showing data. It also helps you decide what to do next. Instead of logging into individual systems or stitching together reports, teams can use Pure1 as a central place to see what is healthy, what needs attention, and where action may be needed. And with AI Copilot, this and much more can even be done via natural language. “Can Pure1 really help with planning?” In traditional storage environments, planning often means spreadsheets, manual analysis, or bringing in outside help. Pure1 changes that by building planning tools directly into the management experience. Admins can model capacity growth, performance trends, hardware upgrades, and the impact of adding new workloads, all within the same plan. Even better, those models are interactive. You can test scenarios, compare options, and see likely outcomes before making changes. That is a major difference from legacy storage, where planning often feels like a separate project. With Pure1, planning becomes part of everyday operations. “What about security and data protection?” Attendees also asked about risk, resiliency, and readiness. Pure1 includes assessments that help teams understand where they stand. Security assessments look at areas such as password hygiene, vulnerabilities, and exposure. Data protection assessments focus on recovery readiness, replication, and SafeMode coverage. That distinction matters. Security is about reducing the chance of something bad happening. Data protection is about being ready when something does. Pure1 helps teams look at both sides, track improvement over time, and identify gaps before they become urgent problems. “How proactive is support, really?” This was one of the strongest examples of how Pure1 differs from traditional storage tools. Pure1 is tied directly into Everpure’s proactive support model. Instead of waiting for customers to find and report issues, Everpure can detect many problems early through telemetry and pattern recognition. That includes early signs of hardware issues, unusual performance behavior, or network conditions that may become problems later. The big takeaway: Pure1 helps spot trouble before it affects performance or availability. The majority of support cases are opened automatically, and customers can track case status and related alerts directly in Pure1. For storage teams, that means fewer surprises and less time spent proving that a problem exists. “Can I customize this for my environment?” Yes, and this is where Pure1 starts to feel less like a dashboard and more like an operations platform. The session touched on workflow orchestration and alerting, including the ability to create custom alerts, route notifications to tools like email or Slack, and build simple response workflows. And AI Copilot further simplifies the customization process. That flexibility is important because every environment is different. Pure1 provides built-in intelligence, but also gives teams ways to adapt it to their own operational processes. “What about file and object data?” Attendees asked whether those capabilities would be visible in their current Pure1 experience. The answer was yes. Pure1 provides visibility across protocols, including block, file, and object, without requiring separate tools. That consistency reflects Everpure’s broader design goal: add capability without adding complexity. Final thoughts The biggest takeaway from the session was simple: Pure1 turns storage management into a self-service experience. Instead of: Reacting to problems Relying on external analysis Managing systems one by one You’re able to: Plan proactively Assess continuously Automate intelligently, across your data estate For technical practitioners, that means less time in spreadsheets, fewer manual checks, and more confidence managing storage at scale. And based on the questions from the community, that is exactly the kind of simplicity storage teams are looking for. Find out more about how Pure1 enables the Everpure Intelligent Control Plane here. Check out this and all our other Ask Us Everything sessions. And, keep the conversation going by jumping into the Everpure Community.140Views2likes0Comments
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Hey Everpure Community — We're Sarah and Pranav, a user researcher and designer on the Everpure team working to make Pure1 and Evergreen//One subscriptions work better for the people who rely on ...
23 days ago