Vijaykumar Pasunoori

Data-Driven API Gateways for Scalable Microservices and Edge AI

Abstract:

As cloud-native systems scale, API gateways are evolving from simple routing layers into intelligent, data-driven infrastructure. This session explores how API gateways are being redefined across microservices, serverless, edge computing, and AI-enabled architectures, with a focus on measurable performance and operational impact relevant to ITAI audiences.

Attendees will examine how the API management market, projected to reach $11.82 billion by 2028, is accelerating innovation in gateway design. Real-world metrics demonstrate how integrated service mesh and gateway architectures improve resource efficiency by 57%, reduce latency by 34%, and shorten incident detection times by 62%. Production-scale systems handling 180M+ daily API calls across 850+ microservices achieve <50ms latency and 99.99% availability.

The session also covers serverless environments, where gateways achieve 99.95% auto-scaling accuracy and support millions of events with optimized cold and warm start performance. Edge deployments further reduce global latency by 58% while sustaining high throughput across distributed nodes. AI-driven capabilities such as intelligent routing and adaptive caching improve efficiency and response times, while zero-trust security models process high-volume authentication requests with strong compliance guarantees.

Participants will gain practical insights into building resilient, scalable, and intelligent API ecosystems, with forward-looking perspectives on emerging standards and architectures shaping the future of distributed systems.

Profile:

Vijaykumar Pasunoori is a seasoned IT professional with over 17 years of experience in software development, system architecture, and team leadership across financial, banking, e-commerce, and general IT domains. He specializes in Java-based application development, microservices architecture, and cloud technologies, particularly AWS and Microsoft Azure. As a hands-on technical lead and architect, Vijaykumar has successfully designed, developed, and deployed scalable enterprise applications using Java, Spring Boot, and a variety of modern frameworks and tools. His expertise extends to DevOps practices, CI/CD automation, API gateway integration, and database engineering. Currently serving as a Technical Lead at Freddie Mac, he leads high-performing teams, ensures code quality through reviews and testing, and manages complex production deployments in agile environments.