Session abstract
What you’ll learn
Modern applications rely on API driven architectures to handle millions of requests across distributed environments. However, traditional API gateway models often struggle to manage unpredictable traffic patterns, rising infrastructure costs, and increasing security demands. This session presents a practical approach to redesigning API gateways using serverless architectures to achieve scalable, cost efficient, and secure systems. The talk explores how integrating API gateways with event driven compute platforms enables systems to dynamically scale from minimal load to thousands of concurrent executions without manual intervention. Real world performance insights demonstrate how optimized compute allocation and memory tuning can reduce operational costs significantly while maintaining consistent low latency responses for high throughput applications. Attendees will learn strategies to address one of the most critical challenges in serverless systems, cold start latency. Techniques such as container reuse, lightweight dependency management, and provisioned concurrency are presented to ensure predictable performance under burst workloads. Additionally, the session highlights the role of edge caching and distributed deployments in reducing latency and improving global user experience. Security considerations are also examined in depth, including implementation of token based authentication, role based access control, and rate limiting within distributed environments. The session introduces practical zero trust design principles that strengthen API protection while preserving scalability. Through real world use cases across industries such as e commerce, IoT, and financial platforms, this session provides actionable insights for engineers building modern cloud native systems. Attendees will leave with concrete strategies to design resilient API infrastructures capable of supporting mission critical workloads at scale.