Session: Code to Combat: Deploying Self-Governing AI Agent Swarms at Scale
Scaling autonomous AI agent systems from prototype to production presents significant architectural and operational challenges that organizations must overcome to realize the full potential of AI-driven automation. This presentation explores a comprehensive approach to building production-ready AI agent swarms using serverless cloud infrastructure, addressing key design principles including stateless agent architecture that enables horizontal scalability and fault tolerance. We examine the Model Context Protocol (MCP) as a secure communication framework that enables effective agent collaboration while maintaining security boundaries and data integrity across distributed systems.
The session demonstrates core serverless orchestration patterns that leverage cloud-native services to achieve elastic scaling, cost optimization, and operational simplicity. Through real-world performance metrics and scalability results, we showcase how these architectures handle dynamic workloads while maintaining sub-second response times and 99.9% availability. Multi-tenancy considerations address secure resource isolation, tenant-specific customization, and efficient resource utilization across diverse organizational contexts. The presentation concludes with emerging patterns and future trends, including self-healing agent networks and AI-driven infrastructure optimization, providing attendees with actionable insights into production deployment strategies and architectural decisions that enable autonomous AI agent swarms to operate reliably at enterprise scale.
Bio
Sowjanya Pandruju is a Cloud Application Architect at AWS with over 13 years of software development experience, specializing in cloud-native development, AI/ML integration, serverless computing, and event-driven architecture. She has led large-scale cloud migrations from on-premises systems to AWS, delivering significant cost reductions and operational efficiencies for multiple organizations. Her expertise spans designing scalable, highly available solutions that leverage advanced AWS services and integrate AI/ML capabilities for intelligent automation. Known for her leadership in technological transformations, she has successfully delivered cutting-edge solutions using containerization, serverless technologies, and modern architectural principles.