June 2025
Intermediate to advanced
338 pages
9h 17m
English
In this chapter, we will cover key observability concepts for monitoring GenAI applications in Kubernetes (K8s). We’ll dive into why monitoring is critical for optimizing GenAI workloads, examining both system-level metrics and application-specific signals. By integrating tools such as Prometheus for metrics collection and Grafana for visualization, and leveraging the debugging capabilities of LangChain, you’ll learn how to construct a comprehensive monitoring framework that provides real-time and actionable insights.
In this chapter, we’re going to cover the following main topics:
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