In this KubeFM episode, Miguel Luna discusses the intricacies of Observability in Kubernetes, including its components, tools, and future trends.

You will learn:

• The fundamental components of Observability: metrics, logs, and traces, and their roles in understanding system performance and health.

• Key tools and projects: insights into Keptn and OpenTelemetry and their significance in the Observability ecosystem.

• The integration of AI technologies: how AI is shaping the future of Observability in Kubernetes.

• Practical steps for implementing Observability: starting points, what to monitor, and how to manage alerts effectively.

Sponsor

This episode is sponsored by Learnk8s — estimate the perfect cluster node with the Kubernetes Instance Calculator

More info

• Find all the links and info for this episode here: https://ku.bz/WwS04jYvv

• Interested in sponsoring an episode? Learn more.