Storage management—simplified by AI
As environments grow more distributed and virtualization strategies evolve, manual storage management can’t keep up. Delivered through HPE Data Services Cloud Console, AIOps for HPE Alletra Storage MP B10000 uses predictive intelligence to detect anomalies, recommend actions, and optimize performance across VMs and storage in real time - streamlining operations while improving reliability and efficiency.
- 100%
Faster deployment
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Issues prevented
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Faster performance troubleshooting
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Admin hours saved
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Transform operations with intelligent self-service
AI-driven intent-based provisioning
AI-driven self-service provisioning streamlines workload deployment from days to minutes without needing storage expertise.
Software update automation
Simplify OS updates with automated staging and optimal scheduling recommendations.
Sustainability insights with in-depth analytics
Advance IT sustainability goals with full visibility of total energy consumption, greenhouse gas emissions, and cost.
Boost resilience with proactive issue prediction and prevention
Predictive analytics and wellness recommendation
Prevent disruptions with signature-based wellness reporting and prescriptive recommendation, enhanced with an agentic AI-powered copilot.
Cross-stack performance and contention insights
Identify factors contributing to performance bottlenecks for targeted troubleshooting and optimization across VM and storage levels.
Real-time AI-driven ransomware detection
Protect against ransomware with machine learning–driven detection of I/O anomalies indicative of malicious encryption.
Optimize strategic planning to minimize costs and maximize resource efficiency
Capacity forecasting
Advanced capacity planning with historical trends and daily updates enables proactive notifications.
Resource planning simulation
Simulation of "what-if" scenarios for new workload planning prevents bottlenecks and maximizes hardware utilization.
Headroom trend analysis
Track utilization trends and identify top contributors to optimize resource allocation and minimize contention.