Name: AI-Driven Kubernetes: Mastering Reliability and Predictive Performance
Start: 2025-12-06T10:00:00+05:30
End: 2025-12-06T13:00:00+05:30
Location: Freshworks

**ClusterGuard AI**
When developers deploy applications to your OpenShift cluster, sometimes pods fail to start due to issues like missing secrets, not enough resources, or configuration errors. Currently, developers wonder why their app isn't working, and we have to manually check logs and debug the issue.
Developing ClusterGuard AI will continuously watches your cluster . When something breaks, it automatically reads the error logs, figures out what went wrong, and sends a teams message to the team explaining the problem and how to fix it

**AI-Powered Kubernetes Autoscaling Using IPA (Intelligent Pod Autoscaler):**
Represents a paradigm shift from reactive to predictive infrastructure management. Unlike traditional Kubernetes autoscaling mechanisms (HPA, VPA, Cluster Autoscaler) that respond to current resource utilization, IPA leverages machine learning models to forecast future demand and proactively scale applications before traffic spikes occur.

Suriya Gs

Global Platform Engineers Network - GPEN

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AI-Driven Kubernetes: Mastering Reliability and Predictive Performance

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Freshworks

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Global Platform Engineers Network - GPEN

AI-Driven Kubernetes: Mastering Reliability and Predictive Performance

Global Platform Engineers Network - GPEN

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