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Getting Started with Kubernetes, Second Edition

You're reading from   Getting Started with Kubernetes, Second Edition Orchestrate and manage large-scale Docker deployments

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787283367
Length 286 pages
Edition 2nd Edition
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Author (1):
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Jonathan Baier Jonathan Baier
Author Profile Icon Jonathan Baier
Jonathan Baier
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to Kubernetes FREE CHAPTER 2. Pods, Services, Replication Controllers, and Labels 3. Networking, Load Balancers, and Ingress 4. Updates, Gradual Rollouts, and Autoscaling 5. Deployments, Jobs, and DaemonSets 6. Storage and Running Stateful Applications 7. Continuous Delivery 8. Monitoring and Logging 9. Cluster Federation 10. Container Security 11. Extending Kubernetes with OCP, CoreOS, and Tectonic 12. Towards Production Ready

Built-in monitoring


If you recall from Chapter 1, Introduction to Kubernetes, we noted that our nodes were already running a number of monitoring services. We can see these once again by running the get pods command with the kube-system namespace specified as follows:

$ kubectl get pods --namespace=kube-system

The following screenshot is the result of the preceding command:

System pod listing

Again, we see a variety of services, but how does this all fit together? If you recall the Node (formerly minions) section from Chapter 2, Pods, Services, Replication Controllers, and Labels, each node is running a kublet. The kublet is the main interface for nodes to interact and update the API server. One such update is the metrics of the node resources. The actual reporting of the resource usage is performed by a program named cAdvisor.

cAdvisor is another open-source project from Google, which provides various metrics on container resource use. Metrics include CPU, memory, and network statistics. There...

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