Traditional observability tells you that something is broken. AI-powered observability tells you why it broke and how to fix it—before your users notice.
In this hands-on session, I will demonstrate how to evolve a standard Prometheus and Grafana monitoring stack into an Intelligent Layer that uses machine learning to dynamically adjust baselines and detect anomalies in real time . Using a live Java microservice running on Minikube and Podman, I will show how the OpenTelemetry Java Agent instruments bytecode "behind the scenes" to capture traces without code changes. We will then integrate a Sequencing Agent that queries logs and traces, sends them to an LLM, and auto-generates a remediation suggestion .
Attendees will leave with a practical, 100% open-source blueprint they can run on their own laptops—no cloud subscription required.