Understanding what's actually happening inside a complex Kubernetes system is one of the biggest challenges architects face.
Oleksii Kolodiazhnyi, Senior Architect at Mirantis, shares his structured approach to Kubernetes workload assessment. He breaks down how to move from high-level business understanding to detailed technical analysis, using visualization tools and systematic documentation.
You will learn:
A top-down assessment methodology that starts with business cases and use cases before diving into technical details
Practical visualization techniques using tools like KubeView, K9s, and Helm dashboard to quickly understand resource interactions
Systematic resource discovery approaches for different scenarios, from well-documented Helm-based deployments to legacy applications with hard-coded configurations buried in containers
Documentation strategies for creating consumable artifacts that serve different audiences, from business stakeholders to new team members joining the project
Sponsor
This episode is sponsored by StormForge by CloudBolt — automatically rightsize your Kubernetes workloads with ML-powered optimization
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