Jiayuan Chen

AI-driven systems generate massive volumes of metrics, logs and traces with extreme cardinality and long retention needs. Traditional observability backends struggle to scale, govern and control costs. In this session, learn how Observe uses Snowflake as the backbone of an open observability architecture built on OpenTelemetry and Apache Iceberg. We’ll show how telemetry flows from OTel-instrumented apps through collectors into user’s own Iceberg data lakehouse, enabling open access, strong governance and analytics at petabyte scale. This approach lowers storage and query costs while delivering faster incident detection and resolution — without vendor lock-in.

This presentation explores how RelationalAI leverages Snowflake’s Data Cloud to build its AI-powered knowledge graph co-processor while utilizing Observe’s observability platform to analyze and enhance customer experiences. Join this session to explore the critical role of observability in developing AI applications on Snowflake and how the collaboration between Observe, Snowflake and RelationalAI delivers a secure, high-quality AI solution for Snowflake customers.