As modern architectures shift from traditional request/response models to streaming data, event-driven systems, and agent-based automation, platform teams face new challenges and responsibilities. APIs are no longer limited to RESTful endpoints; they now encompass Kafka topics, asynchronous streams, AI workflows powered by large language models (LLMs), and autonomous agents that interact with APIs on behalf of users.
In this session, the evolving foundations of API security, discoverability, and observability will be explored, addressing how they support the next wave of distributed systems. Attendees will learn why traditional API gateways fall short in mixed-mode (REST, stream, agent) environments, how to make Kafka and async streams as discoverable and secure as REST APIs, and what platform engineers should consider when enabling agentic workflows and LLM-driven integrations. Best practices and tools for unifying observability across these components will also be discussed.
Whether building internal platforms or enabling external developers, this session will provide a forward-looking framework for supporting the next generation of APIs and agentic AI.