Hello everyone,

I’m currently looking into ways to enhance our IT infrastructure monitoring and am particularly interested in how AI and machine learning can be integrated into this process. As we scale our systems, keeping track of performance, security, and resource utilization becomes increasingly complex. Traditional monitoring methods are becoming insufficient, and I believe AI/ML could play a critical role in streamlining this.

I have a few specific questions:

Predictive Analytics: How can AI be used to predict system failures or bottlenecks before they occur?
Anomaly Detection: What machine learning models are most effective for identifying unusual patterns in IT infrastructure behavior?
Automation: How can AI-driven automation be applied to automatically resolve issues or trigger alerts for IT teams?
Cost Efficiency: Can AI improve the cost efficiency of infrastructure monitoring by reducing manual efforts or optimizing resource allocation?
If anyone has experience with using AI and ML for IT infrastructure ( https://www.lenovo.com/au/en/servers-storage/solutions/managed-services/ ) monitoring or knows of specific tools, frameworks, or strategies, I’d love to hear your insights.

Looking forward to hearing your thoughts!

Best regards,
Jonathan Jone