This episode is sponsored by Learnk8s — get started on your Kubernetes journey through comprehensive online, in-person or remote training. https://learnk8s.io/training
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Platform Engineer *Artem Lajko* breaks down observability into three distinct layers and explains how tools like *Prometheus*, *Grafana*, and *Falco* serve different purposes. He also shares practical insights on implementing the right level of monitoring based on team requirements and capabilities.
You will learn:
- How to implement the three-layer model (*external*, *internal*, and *OS-level*) and why each layer serves different stakeholders
- How to choose and scale observability tools using a label-based approach (*low*, *medium*, *high*)
- How to manage observability costs by collecting only relevant metrics and logs
Find all the links and info for this episode here: https://ku.bz/9sGxhmm8s
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Interested in sponsoring a KubeFM episode? https://kube.fm/sponsorships
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CHAPTERS
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00:00 Introduction
00:00 Sponsor
01:15 Discussion on favorite Kubernetes tools
02:59 Guest background and journey into Cloud Native
05:04 Current role and AI integration
07:01 Understanding observability in Kubernetes
09:13 The three-layer observability model
11:24 Understanding external observability and stakeholders
14:00 Deep dive into internal observability
16:32 The role of tracing in modern systems
18:34 Challenges of observability data management
21:27 Scaling observability for different team sizes
23:31 OS-level observability and its stakeholders
27:04 Future of OS-level observability
28:44 Benefits and implementation of layered observability
31:17 Outro
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