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Learn to leverage Kong's open-source API gateway and Moesif's analytics platform to build flexible API observability solutions specifically tailored for AI applications in this 15-minute conference talk. Discover how to capture complex payloads and model inference data through customizable observability pipelines that go beyond traditional monitoring approaches. Explore techniques for proactively detecting issues in AI API workflows and optimizing performance through deep insights and analytics. Understand how to implement comprehensive monitoring strategies that handle the unique challenges of AI API observability, including tracking model performance, analyzing inference patterns, and maintaining visibility into complex data flows. Gain practical knowledge about integrating open-source tools to create robust observability frameworks that can adapt to evolving AI infrastructure requirements and provide actionable insights for improving API reliability and performance.
