* Understanding the Requirements:
The customer needs a solution for cloud-based machine learning, health and performance monitoring.
The solution should assist in making proactive decisions regarding infrastructure.
* Solution Options:
A . HPE GreenLake Central: A management platform for HPE GreenLake, but it is not specifically designed for proactive infrastructure monitoring through machine learning.
B . HPE iLO Amplifier: Primarily used for firmware updates and health monitoring of HPE servers, but lacks comprehensive machine learning capabilities.
C . HPE InfoSight: A cloud-based AI platform for proactive monitoring, performance optimization, and predictive analytics for HPE infrastructure.
D . HPE OneView: Infrastructure management software, but does not provide the same level of predictive analytics and proactive monitoring as InfoSight.
* Why HPE InfoSight (C) is the Best Fit:
Proactive Monitoring: HPE InfoSight uses AI to predict and prevent issues before they impact operations.
Machine Learning: Continuously learns from the telemetry data collected across the installed base, providing insights and recommendations.
Comprehensive Coverage: Monitors the health and performance of HPE StoreOnce, ProLiant, and other devices, making it ideal for the customer's mixed environment.
* Reference:
HPE InfoSight Overview: HPE InfoSight
Benefits of HPE InfoSight: Why HPE InfoSight?