By 2025, 90% of new enterprise applications will be AI-powered and cloud-native. This episode explores the symbiotic relationship between AI and Kubernetes - where AI isn't just another workload, but is fundamentally transforming how we build and operate cloud native platforms. We cover real-world examples like Netflix's predictive scaling achieving 92% accuracy, the emergence of AI-driven observability platforms, and why platform engineers need to evolve from infrastructure operators to AI-infrastructure orchestrators.

In this episode: - AI transforming the Kubernetes control plane with predictive scheduling - Netflix's AI-driven traffic management: 92% prediction accuracy, 35% resource reduction - AI-native observability: anomaly detection on metric relationships, not just metrics - GPU orchestration: NVIDIA GPU Operator achieving 80%+ utilization vs 30-40% baseline - Edge AI patterns: federated learning, model distillation, intermittent connectivity - Skills evolution: Understanding AI workload characteristics without becoming ML experts - News: Red Hat connects AI to Istio via Kiali MCP Server, AWS CloudWatch adds Apache Iceberg support

Perfect for senior platform engineers, SREs, DevOps engineers looking to understand the convergence of AI and cloud native technologies.

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Episode URL: https://platformengineeringplaybook.com/podcasts/00090-ai-cloud-native-symbiosis

Duration: 15 minutes

Host: Alex and Jordan

Category: Technology Subcategory: Software How-To

Keywords: AI, cloud native, Kubernetes, symbiosis, intelligent infrastructure, platform engineering, GPU orchestration, predictive scaling, observability, machine learning, Netflix, edge AI, federated learning