ckad | Git repository contains supporting files for all editions

by sandervanvugt Shell Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | ckad Summary

ckad is a Shell library. ckad has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

ckad

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Quality

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Support

ckad has a low active ecosystem.

It has 225 star(s) with 320 fork(s). There are 33 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ckad is current.

Quality

ckad has no bugs reported.

Security

ckad has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ckad does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

ckad releases are not available. You will need to build from source code and install.

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ckad Key Features

No Key Features are available at this moment for ckad.

ckad Examples and Code Snippets

No Code Snippets are available at this moment for ckad.

Community Discussions

Trending Discussions on ckad

How to create mult-container pods using --dry-run=client?

Are Pods forced to run on nodes where their persistent volumes exist?

QUESTION

How to create mult-container pods using --dry-run=client?

Asked 2021-Feb-23 at 16:07

I am working on practicing for the CKAD exam and ran into an interesting problem with a multi-container pod that I can't seem to find an answer to. Lets say I run this imperative command to create a pod.yaml:

...

ANSWER

Answered 2021-Feb-23 at 16:07

Expanding on my comment:

A list in YAML is a series of items marked with a leading -, like this list of strings:

Source https://stackoverflow.com/questions/66336414

QUESTION

Are Pods forced to run on nodes where their persistent volumes exist?

Asked 2020-Sep-18 at 17:19

I'm teaching myself Kubernetes with a 5 Rpi cluster, and I'm a bit confused by the way Kubernetes treats Persistent Volumes with respect to Pod Scheduling.

I have 4 worker nodes using ext4 formatted 64GB micro SD cards. It's not going to give GCP or AWS a run for their money, but it's a side project.

Let's say I create a Persistent volume Claim requesting 10GB of storage on worker1, and I deploy a service which relies on this PVC, is that service then forced to be scheduled on worker1?

Should I be looking into distributed file systems like Ceph or Hdfs so that Pods aren't restricted to being scheduled on a particular node?

Sorry if this seems like a stupid question, I'm self taught and still trying to figure this stuff out! (Feel free to improve my tl;dr doc for kubernetes with a pull req)

...

ANSWER

Answered 2020-Sep-18 at 02:57

Let's say I create a Persistent volume Claim requesting 10GB of storage on worker1, and I deploy a service which relies on this PVC, is that service then forced to be scheduled on worker1?

This is a good question. How this works depends on your storage system. The StorageClass defined for your Persistent Volume Claim contains information about Volume Binding Mode. It is common to use dynamic provisioning volumes, so that the volume is first allocated when a user/consumer/Pod is scheduled. And typically this volume does not exist on the local Node but remote in the same data center. Kubernetes also has support for Local Persistent Volumes that are physical volumes located on the same Node, but they are typically more expensive and used when you need high disk performance and volume.

Source https://stackoverflow.com/questions/63948386

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ckad

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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