From the course: Kubernetes Essential Training: Application Development
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Role-based access control in Kubernetes - Kubernetes Tutorial
From the course: Kubernetes Essential Training: Application Development
Role-based access control in Kubernetes
- [Instructor] As well as the Worker Nodes, which are the VMs that our pods have been running on. Kubernetes has its Control Plane. This is the collection of software that orchestrates everything. And that's what we've been interacting with through various clients Kubectl, the Web Dashboard and infer.app. Workloads can also be Kubernetes aware, that is, they can know that they're running in a Kubernetes Cluster and they can talk to the Control Plane of that Cluster, the one that's looking after them. Sometimes, it does make sense for what I'll call an end user service. One of your pods in your application stack to talk to the Kubernetes Control Plane. Certainly a lot of what I'll call System Services need to do that. These are deployments that aren't part of Kubernetes, but they do similar system styles stuff affecting Kubernetes, augmenting it. The Ingress Controller is a good example of this. It's not part of…
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Contents
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Ensuring availability with liveness and readiness probes12m 28s
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(Locked)
Managing resource usage with requests and limits9m 2s
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(Locked)
The scheduler and influencing container placement7m 41s
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(Locked)
Node affinity and anti-affinity5m 29s
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(Locked)
The Horizontal Pod Autoscaler (HPA)10m 45s
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(Locked)
Providing configuration with ConfigMaps8m 40s
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(Locked)
Supplying sensitive data with Secrets3m 44s
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(Locked)
Keeping secure with network policies5m 21s
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(Locked)
Role-based access control in Kubernetes2m 18s
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(Locked)
Working with RBAC5m 46s
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