Sumir Arora is a Senior Solution Architect with 15+ years across cloud, integration, and platform engineering. His recent work sits at the intersection of platform engineering and AI—building agentic systems that bring autonomy to operational workflows like change management, troubleshooting, and API testing.
He designs for the hard part: letting automation scale without losing control. That means governance, guardrails, policy-as-code, and clear architectural boundaries—the things that make autonomous systems safe to run in production.
The hard part of AI in the cloud isn't scaling anymore—it's governing agents that act on your infrastructure on their own.
In this session, I’ll walk through how we helped a large enterprise address fragmented API practices and inconsistent governance by building a platform-first approach to API delivery.
Cloud and Kubernetes environments get complicated less because the tools are bad and more because every team wires them differently—config drift, snowflake clusters, manual handoffs, and pipelines nobody fully trusts. This session shows how a Git-driven model cuts that overhead: one source of truth, automated provisioning, and delivery you can actually reason about.
API security goes beyond protecting endpoints—it requires defense across infrastructure, data, and business logic. In this talk, I’ll present a structured approach to implementing Zero Trust security for APIs in a cloud-native architecture.