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://kube.fm/observability-kubernetes-miguel
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