Session: AI Observability
Modern observability platforms are rapidly integrating the latest advancements in AI to help engineers resolve incidents, investigate issues, and develop faster. Observability is inherently a data problem, and with vast amounts of data already flowing through these platforms, the opportunity to leverage AI is unprecedented.
The next generation of observability will fundamentally transform how engineers interact with system data. Instead of parsing endless logs or reacting blindly to incidents, AI-driven solutions will provide deeper insights and more proactive support. This talk explores three key advancements in generative AI shaping modern observability: incident response runbooks, multi-step agent orchestration, and retrieval-augmented generation (RAG) for real-time data analysis.
We’ll wrap up with real-world examples of these innovations already in use and a look at what the future may hold.
