Ask Us Everything About Pure1 AI Copilot, MCP Server and Fusion
September 18 | Register Now! Got questions about AI-powered storage management? Get answers. This month we’re diving into how AI and automation can help infrastructure teams simplify storage operations at scale. See how Pure1® AI Copilot, the Pure1 Manage MCP Server, and Everpure Fusion™ work together to help you understand what’s happening across your environment, connect AI tools to operational data, and simplify management across your fleet. Learn to manage your storage with even less effort, and: Get actionable answers in plain language with Pure1 AI Copilot Connect AI agents and tools to live Pure1 operational data with the Pure1 Manage MCP Server Simplify provisioning and day-to-day management across arrays with Everpure Fusion Move from insight to action faster with an intelligent, more connected approach to operations Bring your questions for our experts, who are ready to discuss real-world AI and automation use cases and show how these capabilities can help you simplify operations while maintaining control across your Everpure environment. Register Now!
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!See It Before It Happens: Predict and Fix Infra Issues Early
June 25 | Register Now! Database and infrastructure teams often struggle to predict how changes will affect application real-world performance, capacity, and service levels. Without clear visibility into where applications are running and how they consume resources, even small adjustments can introduce unexpected latency, IOPS bottlenecks, or capacity shortfalls, making troubleshooting slower and increasing the risk of missing SLAs. Join us and learn how to: Use scaling simulations to predict impacts on latency, IOPS, and capacity before changes are made. Apply data intelligence to identify where applications are running and how they consume resources. Improve performance planning and reduce troubleshooting time while maintaining stronger adherence to SLAs. Register Now!
