From Monoliths to Microminds - Building Resilient AI Platforms

Explore the transformation from monolithic AI systems to distributed multi-agent architectures in this 13-minute conference talk from Conf42 Platform Engineering 2025. Learn about the fundamental challenges of monolithic AI systems and discover how multi-agent frameworks can address scalability, reliability, and maintainability issues. Examine the essential layers of multi-agent architecture and understand performance engineering principles for distributed AI systems. Gain insights into building fault-tolerant AI platforms with robust reliability mechanisms and strategies for integrating legacy systems into modern AI architectures. Master operational excellence practices including monitoring, observability, and security governance for AI platforms. Understand change management approaches for transitioning teams from monolithic to distributed AI development and discover future-proofing strategies to ensure your AI platforms remain adaptable and scalable as technology evolves.