Intro to observability for the AI era
Join us for a hands-on workshop on observability tailored for SREs. We'll demonstrate how to use Grafana Cloud's observability workflows to identify issues, troubleshoot, and find the root cause quickly when monitoring modern applications.
During this workshop, you’ll learn how to troubleshoot issues using tools within Grafana Cloud such as Frontend Observability, Knowledge Graph, Application Observability, Database Observability, and Kubernetes Monitoring. You'll then streamline that process through Grafana Assistant, the LLM agent integrated in Grafana Cloud. Through a combination of metrics, logs, traces, and profiles, you’ll gain practical insights into observability principles and techniques. This is the workshop for you if you are or will be spending your time observing applications and investigating issues.
And as organizations are increasingly building agentic apps in the AI era, you’ll hear how Grafana Cloud's AI Observability solution helps you observe, evaluate, govern, and improve AI systems running in production. (For a full hands-on workshop on observing production-ready agentic apps, register for the "Instrument and observe production-ready agentic apps with Grafana Cloud and AWS" workshop.)
What you'll accomplish
Get a foundational understanding of the three pillars of observability
Gain deep insights into applications and Kubernetes infrastructure with Application Observability and Kubernetes Monitoring
Identify issues and troubleshoot with Grafana Cloud’s observability workflows to find the root cause
Streamline root cause analysis and show the power of LLMs in observability with Assistant