Klustered: Newcomers #1 | Rawkode Live

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Klustered is a live debugging and competitive Kubernetes series that aims to provide the best CKA, CKAD, and CKS training materials on YouTube.
This is the Newcomers edition which will stick to the primitives you need to learn to operate and debug production Kubernetes clusters.
#KubernetesTutorial #Tutorial

This episode is part of the Klustered series.
-- Klustered: Newcomers #1 - This Video

🍿 Rawkode Live

#RawkodeLive

🕰 Timeline

00:00 - Viewer Comments
00:50 - Introductions
05:00 - kubeadm KUBECONFIG
08:00 - kubectl get pods
08:30 - kubectl describe pods
16:50 - Containerd logs
18:20 - Kubelet logs
19:45 - kubectl describe deployment
23:20 - kubectl edit deployment
28:00 - Pod Requests & Limits
35:00 - Liveness & Readiness Probes
39:00 - Static Pod Manifests
43:00 - Debugging Kubernetes Services
47:00 - kubectl scale
54:30 - ImagePullPolicies
1:00:00 - Service Endpoints

👥 About the Guests

Thom Crowe

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Jeremy Tanner

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🔨 About the Technologies

Kubernetes

Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. It has a large, rapidly growing ecosystem. Kubernetes services, support, and tools are widely
available.
The name Kubernetes originates from Greek, meaning helmsman or pilot. Google open-sourced the Kubernetes project in 2014. Kubernetes combines over 15 years of Google's experience running production workloads at scale with best-of-breed ideas and practices from the community.
Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team.
Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is.
Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

#CloudNative #Kubernetes