The proliferation of multi-cloud strategies has brought significant advantages but also introduced challenges in ensuring scalability, resilience, and security for Kubernetes-based architectures. This session will delve into how organizations can leverage AI-driven observability to proactively monitor and manage multi-cloud Kubernetes clusters while implementing Zero Trust principles to fortify security.

Attendees will learn:

How AI-driven observability tools (e.g., OpenTelemetry, Prometheus) can predict and mitigate failures in complex Kubernetes setups.
Best practices for integrating Zero Trust security models into multi-cloud Kubernetes clusters, ensuring compliance and resilience.
A practical framework for designing scalable, self-healing Kubernetes environments that adapt dynamically to workload demands.
This session will include real-world use cases, a demonstration of AI-powered tools, and insights into overcoming common challenges in cloud-native multi-cloud setups.