Keep systems fast, data available, and storage performance predictable with full-stack observability across SAN, NAS, and cloud. Catch slowdowns early, avoid storage-related outages, and optimize capacity before it becomes a problem.
Catch performance issues and capacity risks early, so you avoid disruptions, not just react to them.
Understand usage trends and storage growth so you can right-size investments and avoid surprise upgrades.
Prevent slowdowns and bottlenecks by ensuring storage stays responsive even during peak demand.
Automate visibility and reduce manual effort so your team can focus on strategy, not triaging siloed tools.
Get a single view across cloud, hyperconverged, and legacy arrays, so nothing slips through the cracks.
Give stakeholders one clear view of storage health and impact, so issues are resolved faster and decisions are made with full context.
Observability powered by LM Envision and Edwin AI
From automated discovery to intelligent forecasting, LM Envision delivers the capabilities teams need to ensure uptime, right-size capacity, and maintain performance across hybrid storage systems.
Start monitoring enterprise storage platforms in minutes—no agents, scripts, or vendor-specific tooling required.
Prevent service disruptions by identifying anomalies and saturation risks across your storage infrastructure.
Use historical trends and predictive analytics to guide infrastructure investments and avoid surprise costs.
Understand how storage impacts service delivery by correlating infrastructure metrics with app and network performance.
Equip IT, engineering, and ops teams with tailored dashboards and alerts that surface only what they need.
Integrations
LM Envision supports out-of-the-box integrations with top enterprise storage platforms, including NetApp, Dell Technologies, HPE, Pure Storage, Cisco, and more. Monitor cloud storage from AWS, Azure, and GCP in the same platform without additional tools, agents, or complexity.
100%
collector-based and API-friendly
3,000+
integrations and counting
AI AGENT FOR ITOPS
Edwin AI helps you detect anomalies, predict saturation, and summarize incidents in plain language, so your teams can troubleshoot faster and plan smarter. From tracking disk latency to uncovering usage trends across arrays, Edwin brings context and clarity to every alert.
67%
ITSM incident reduction
88%
noise reduction
BY THE NUMBERS
GET ANSWERS
Get the answers to the top storage monitoring questions.
LM Envision offers built-in support for leading storage platforms, including NetApp, Dell EMC, HPE, Pure Storage, Cisco HyperFlex, Nutanix, and VMware vSAN—plus cloud providers like AWS, Azure, and GCP. No custom development or scripting is required to start monitoring.
No. LM Envision uses agentless collection and auto-discovery to detect and begin monitoring storage systems quickly. In most cases, all you need is a hostname or IP address—no manual configuration, scripts, or local software required.
Yes. LM Envision provides a unified view of on-premises, hyper-converged, and cloud-based storage environments. You can monitor usage, performance, capacity, and health across your entire storage infrastructure in a single dashboard.
LM Envision tracks usage over time and applies forecasting to help you predict when you’ll hit capacity limits. This enables smarter budgeting, avoids surprise outages, and supports long-term storage optimization strategies.
Absolutely. LM Envision includes dynamic thresholds, anomaly detection, and intelligent alerting that can warn you of performance drift, capacity surges, or critical degradation before it becomes a service-impacting issue.
Yes. LM Envision gives you full-stack visibility across infrastructure, including storage, servers, networks, and applications. This lets you trace performance issues to their root cause even when they originate outside the storage layer.
