Monitor Dell EMC Unity Performance with IntelliMagic Vision
Monitor and manage the performance and capacity of your Dell EMC systems in a single view with the rest of your multi-vendor SAN system.
Reduce your costs and mean time to resolution with platform-specific, AI-driven visibility into your Dell EMC arrays to elevate performance and capacity monitoring.
Optimize Unity Storage Array Performance and Capacity Management
Managing performance on a Dell EMC Unity platform requires visibility not only into the performance of its key components, but also into SAN fabric and host performance.
IntelliMagic Vision’s built-in artificial intelligence (AI) allows you to have a single pane of glass to proactively uncover hidden risks and bottlenecks both internal and external to your Unity storage and address them before they impact production.
Quickly find the answers to questions such as:
- How are my EMC Unity systems performing based on the key performance metrics of each?
- How well balanced are my critical components, such as storage processors, front-end ports, disk pools and storage pools?
- When will my storage pools run out of capacity based on the current burn rate?
- Which hosts are the heavy hitters and which volume(s) are they using?
- Is host connectivity to my EMC Unity systems configured in accordance with best practices?
Built-in AI for Proactive Health Insights
Built-in, automated health insights leverage domain-specific AIOps to prevent storage and fabric performance and capacity issues in your Dell EMC storage system.
Health insights include time, multiple metrics, multiple components, and AI-rated metrics in a single view to provide preventive focused insights.
Dynamic thresholds identify when the system workload is nearing the throughput limits based on the chasis capability and the number of active ports.
The variable thresholds in the background of the charts indicate that the expected capabilities of the storage systems and their expected response times change dynamically based upon the actual workload.
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