Spring is Calling, and so is Reds Baseball
I don't know about you, but I am more than ready for Spring; though I could definitely skip the rain. Wiping muddy dog paws after every walk is getting old! On the bright side, who else is ready for some Reds baseball? I have a few exciting updates and resources to share with the community: 🚀 PUG Meeting Update charles_sheppar​ and I are currently hard at work on the next PUG meeting. We can't share the specifics just yet, but we are planning something unique and fun for the community. Stay tuned! 🛡️ Strengthening Your Cyber Resilience Given the current geopolitical climate and the rise in cyber threats, now is the perfect time to audit your data protection. Features like SafeMode and Pure1 Security Assessments act as a resilient last line of defense. If you want to see these tools in action, we recently hosted an expert-led demo on building a foundation for cyber resilience. Watch the recording here: https://www.purestorage.com/video/webinars/the-foundations-of-cyber-resilience/6389889927112.html Questions? Reach out to your Everpure SE or partner for a deeper dive. 📅 Upcoming Events March 12: Nutanix Webinar Exploring virtualization alternatives? Nutanix is hosting a session tomorrow focused on simplifying IT operations and highlighting the Everpure partnership. https://event.nutanix.com/simplifyitandonprem March 19: Or perhaps you're interested in running virtual machines alongside containerized workloads within K8s clusters. If that's the case, join Greg McNutt and Sagar Srinivasa for Virtualization Reimagined: Inside the Everpure Journey. https://www.purestorage.com/events/webinars/virtualization-reimagined.html March 19: Ask Us Everything About Storage for Databases. Join experts Anthony Nocentino, Ryan Arsenault, and Don Poorman for a live Q&A session. https://www.purestorage.com/events/webinars/ask-us-everything-about-storage-for-databases.html March 24: Presets & Workloads for Consistent DB Environments. We’re extending the database conversation to discuss how Everpure helps you transition from "managing storage" to "managing data" through automated presets. https://www.purestorage.com/events/webinars/presets-and-workload-setups-for-consistent-database-environments.htmlPure Certifications
Hey gang, If any of you currently hold a Flash Array certification there is an alternative to retaking the test to renew your cert. The Continuing Pure Education (CPE) program takes into account learning activities and community engagement and contribution hours to renew your FA certification. I just successfully renewed my Flash Array Storage Professional cert by tracking my activities. Below are the details I received from Pure. Customers can earn 1 CPE credit per hour of session attendance at Accelerate, for a maximum of 10 CPEs total (i.e., up to 10 hours of sessions). Sessions must be attended live. I would go ahead and add all the sessions you attended at Accelerate to the CPE_Submission form. Associate-level certifications will auto-renew as long as there is at least one active higher-level certification (e.g., Data Storage Associate will auto-renew anytime a Professional-level cert is renewed). All certifications other than the Data Storage Associate should be renewed separately. At this time, the CPE program only applies to FlashArray-based exams. Non- FA exams may be renewed by retaking the respective test every three years. You should be able to get the CPE submission form from your account team. Once complete email your recertification Log to peak-education@purestorage.com for formal processing.
Simplifying Observability: Native OpenTelemetry in Purity
As enterprises modernize and accelerate their infrastructure through automation, blind spots become more expensive. When systems move faster, teams need telemetry that’s reliable, portable, and easy to integrate across a heterogeneous stack. Pure Storage’s Enterprise Data Cloud vision reflects that shift: infrastructure that delivers cloud-like simplicity and speed while preserving the control, security, and performance enterprises expect. Fusion supports this by standardizing and scaling self-service workflows, turning storage into an on-demand platform. But faster operations require a stronger feedback loop. As automation increases, teams need confidence that systems remain healthy and predictable. That’s why consolidated observability is foundational. Instead of running separate monitoring tools per layer, organizations are centralizing telemetry into a single observability platform that can correlate signals end-to-end; from the end user’s experience (e.g. browser or mobile app), through the network and application code, all the way down to infrastructure like servers, databases, containers, and storage. This consolidation reduces redundant tools and fragmented dashboards while giving teams the correlated insights they need to resolve incidents faster and make better decisions. The Siloed Vendor Problem Yet achieving this unified vision has proven challenging. Traditional infrastructure vendors have long provided proprietary monitoring tools designed exclusively for their own products. A storage vendor offers one monitoring interface, the compute vendor another, and the network vendor yet another. Each tool uses different data formats, separate dashboards, and incompatible alerting mechanisms. For organizations running heterogeneous environments (which is nearly all of them), this creates an untenable situation. IT teams must context-switch between multiple tools, correlate data manually across platforms, and maintain expertise in numerous vendor-specific interfaces. When an application performance issue arises, determining whether the root cause lies in storage latency, network congestion, or compute resource exhaustion becomes an exercise in detective work across disconnected systems. The promise of consolidated observability cannot be realized with vendor-specific, siloed monitoring tools. A different approach is needed. The Open Standard Solution This challenge has driven the industry toward open, vendor-agnostic standards that enable telemetry interoperability. OpenMetrics emerged as one such standard, providing a common data model for exposing metrics (counters, gauges, and histograms) in a format that any observability platform can consume. By standardizing metric exposition, OpenMetrics reduced vendor lock-in and became foundational to Prometheus-based monitoring at scale. However, standardizing the format of metrics is only one part of what organizations need to make consolidated observability work in practice. Enterprises also need consistency in how telemetry is named, described, transported, and exported, so that infrastructure data can flow cleanly across heterogeneous environments without bespoke integrations. Enter OpenTelemetry, which expands on the same vendor-neutral principles to create a comprehensive observability framework. In other words, it helps ensure telemetry isn’t just emitted in a readable format, but is also structured and delivered in a way that remains portable across vendors and backends. Think of it as establishing the equivalent of a USB standard for telemetry data: any "device" (an application or infrastructure component) can plug into any "peripheral" (an observability platform) without requiring proprietary connectors. The primary benefit is profound: freedom from vendor lock-in. Organizations can choose best-of-breed observability platforms based on capabilities and cost rather than being constrained by what their infrastructure vendors support. The External Agent Bottleneck OpenTelemetry and OpenMetrics have made consolidated observability technically feasible, but most storage vendors have adopted these standards through what can only be described as a "bolt-on" approach. This forces customers to manage a complex chain of external agents, sidecars, or dedicated VMs, just to get telemetry from their platforms visualized onto their dashboards. This presents a problem that’s two-fold: Operational Overhead: Instead of simply consuming data, IT teams are burdened with sizing, patching, and troubleshooting the monitoring infrastructure itself. New Failure Modes: If an agent crashes or becomes misconfigured, visibility into critical infrastructure disappears precisely when it's needed most. Teams find themselves monitoring their monitoring infrastructure; a meta-problem that defeats the original purpose. The Native Integration Imperative In the Pure Storage platform, observability is a first-class capability instead of an afterthought. Thus, Pure Storage has taken a different path: an OpenTelemetry collector embedded into Purity OS. Instead of asking customers to deploy and maintain external agents, exporters, or intermediary infrastructure, Pure Storage platforms will now expose telemetry in standardized OpenTelemetry format as an intrinsic platform capability. The result is sending storage telemetry directly into any OpenTelemetry-compatible Observability platform-of-choice (eg., Datadog, Dynatrace, Splunk, Grafana, etc.). Fig. Numbers represent the sequence of steps in the workflow Pure Storage’s commitment has always been simplicity. Native OpenTelemetry in Purity OS extends that principle to observability: less integration friction, fewer moving parts, and more time spent acting on insight instead of maintaining the pipeline. More information on the native integration of OpenTelemetry Collector within Purity//FB can be found here. Purity//FA to follow soon.Pure1 Manage Assessment
Hey Cincy PUG, I found a cool feature for detecting changes on your Flash Array. Looking at Data Protection under the Assessment menu I saw a lightning bolt on one of my arrays. That lightning bolt led me to an evaluation showing that there had been a significant drop in DRR for a group of volumes. Turns out that change was benign because one of my teammates refreshed an environment causing the change in the Data Reduction Ratio. I see this as just another way Pure 1 Manage can help admins detect threats or problems with data sets. How are you using the tools in Pure1? Share something with the group! -Charles
Ask Us Everything: Pure Storage + Nutanix — What the Community Really Wanted to Know
The January Ask Us Everything (AUE) session tackled one of the hottest topics in infrastructure right now: what Pure Storage and Nutanix are doing together—and what that means for our customers. Judging by the volume and depth of questions, it’s clear that many of you are actively evaluating next-generation virtualization options and want real answers, not marketing slides. With Cody Hosterman (Sr Director Product Management, Pure Storage), Thomas Brown (Field CTO, Nutanix), myself - Joe Houghes (Field Solutions Architect, Pure Storage), and our host Don Poorman (Technical Evangelist, Pure Storage), the conversation went deep into architecture, migration realities, and the practical problems this joint solution is designed to solve. Here are the biggest takeaways from what attendees asked—and what they learned. This is joint engineering, not just “interoperability” One of the most important clarifications came early: this isn’t a case of “here’s a LUN, good luck.” Nutanix has natively integrated Pure Storage FlashArray APIs directly into the Nutanix stack. That means: No plugins to install No bolt-on frameworks to manage No separate operational silos In Prism, the Nutanix management plane, Pure Storage behaves like a first-class storage backend. Snapshots, protection, provisioning, and automation are driven from Nutanix, while Pure Storage delivers its strengths—performance, data reduction, SafeMode, and simplicity—under the covers. NVMe/TCP support is a deliberate, forward-looking choice Several attendees asked why Fibre Channel or legacy protocols weren’t the focus. The answer: this solution is built for where infrastructure is going, not where it’s been. By standardizing on NVMe/TCP over Ethernet, Pure and Nutanix: Avoid decades of SCSI and FC tech debt Enable massive bandwidth scalability (100G, 400G, and beyond) Lay the groundwork for modern security features like TLS and in-band authentication This is a design meant to still make sense 10 years from now. Object-style vDisks eliminate old datastore limits A recurring “aha” moment came when attendees learned how vDisks are implemented. Instead of traditional filesystem-based datastores (with all their historical limits), each virtual disk maps directly to a Pure Storage volume. What that unlocks: Petabyte-scale virtual disks (no more 64TB ceilings) No datastore gymnastics to scale performance No artificial limits inherited from legacy file systems This felt especially relevant for customers running large databases, analytics platforms, or fast-growing enterprise apps. HCI isn’t going away—this complements it A key question from the audience: Does this replace Nutanix HCI? The answer was a clear no. Nutanix HCI still makes perfect sense for many workloads. But when customers: Need to scale storage independently of compute Have performance-heavy or capacity-dense workloads Want an “apples-to-apples” replacement for traditional VMware + external storage …Pure Storage + Nutanix provides a clean alternative without forcing architectural compromises. Migration is real, and the hard parts were addressed honestly Migration questions dominated the session—and the tone was refreshingly pragmatic. Attendees learned: Nutanix Move is fully supported and preserves Purity’s data reduction–which makes this a zero-cost migration in terms of storage capacity VMware NSX rules can be translated into Nutanix Flow during migration Backup tools (Veeam, Rubrik, Commvault, Cohesity, etc.) continue to work without re-engineering or changes in backup operations Most migration risk doesn’t lie in the hypervisor—it’s overlooked third-party dependencies The guidance was consistent: plan carefully, take stock of any dependencies, and don’t rush a wholesale cutover just to meet an artificial deadline. No user ever wants to be forced to do that. Operational simplicity is a major design goal A subtle but powerful theme emerged: you don’t need to tune this solution. VMware users often ask about “nerd knobs” and the need to tweak things to get them working right. In this solution, they’re mostly gone—and intentionally so. Best practices for queue depths, multipathing, performance tuning and more are already baked into the platform by the joint engineering teams. Improvements are managed through upgrades, eliminating the need for manual scripting or implementing performance tweaks for a "snowflake" deployment. The result of this best-of-breed, jointly-engineered solution is consistency, predictability, and easier support—especially during migrations–so that you can focus on the work that makes your business run. The roadmap is active—and community feedback matters This solution was not positioned as “done and dusted.” The GA release is the foundation, not the finish line. Capabilities like Kubernetes support, deeper snapshot orchestration, VDI validation, and migration optimizations are all on the roadmap. And importantly: your use cases drive priorities. And the Pure Storage Community is a great place to drop your feedback for the teams! Keep the conversation going This partnership sparked a lot of interest for a reason: it’s not just about changing hypervisors—it’s about modernizing how infrastructure works. If you missed the live session—or want to dive deeper—join the ongoing discussion in the Pure Storage Community: 👉 https://purecommunity.purestorage.com/discussions/virtualization/ask-us-everything-about-pure-storage--nutanix/3634 You’ll find Pure Storage and Nutanix experts answering follow-ups, clarifying edge cases, and sharing lessons learned from real deployments. While you’re there, be sure to check out past Ask Us Everything events—they’re packed with practical, practitioner-level insights.Ask Us Everything: Evergreen//One™ Edition — What the Community Learned
A recent Ask Us Everything (AUE) session on Pure Storage Evergreen//One™ was a lively, deeply technical conversation—and exactly the kind of dialogue that makes the Pure Community special. Here are some of the biggest takeaways, organized around the questions asked and the insights that followed.We are just one week away PUG#3
January 28th, the Cincinnati Pure User Group will be convening at Ace's Pickleball to discuss Enterprise file. We will be joined by Matt Niederhelman Unstructured Data Field Solutions Architect to help guide conversation and answer questions about what he is experiencing amongst other customers. Click the link below to register and come join us. Help us guide the conversation with your ideas for future topics. https://info.purestorage.com/2025-Q4AMS-COMREPLTFSCincinnatiPUG-LP_01---Registration-Page.html
Stop Prompting, Start Context Engineering
This blog post argues that Context Engineering is the critical new discipline for building autonomous, goal-driven AI agents. Since Large Language Models (LLMs) are stateless and forget information outside their immediate context window, Context Engineering focuses on assembling and managing the necessary information—such as session history, long-term memory (embeddings, RAG indexes), and tool outputs—for the agent every single turn. The post asserts that storage, not the LLM or the prompt, is the primary performance bottleneck for AI at scale. The speed of the underlying storage architecture dictates the agent's responsiveness because it must quickly retrieve and persist context data repeatedly.Who's using Pure Protect?
Hey everyone, Just wondering if anyone else is using Pure Protect yet. We have gone through the quick start guide and have a VMWare to VMWare configuration setup. We have configured our first policy and group utilizing a test VM but it seems to be stuck in the protection phase. I would be very interested to hear what others have seen or experienced. -Charles
