kubernetes-release | BOSH release for Kubernetes | Continous Integration library
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BOSH release for Kubernetes
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QUESTION
I'm trying to follow instructions on this guide but under docker.
I set up a folder with:
...ANSWER
Answered 2021-Jun-14 at 06:46If you want to use kubernetes inside a docker container my suggestion is to use k3d .
k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker.k3d makes it very easy to create single- and multi-node k3s clusters in docker, e.g. for local development on Kubernetes.
You can Download , install and use it directly with Docker. For more information you can follow the official documentation from https://k3d.io/ .
To get the list of pods you dont' need to create a k8s cluster inside a docker container . what you need is a config file for any k8s cluster . ├── Dockerfile ├-- config └── main.py 0 directories, 3 files
after that :
QUESTION
This is what I'm trying to do. I have a CICD pipeline I am using to push a docker image into ECR. Within this pipeline I am using a custom Docker image that has the AWSCLIv2, kubectl, and I am trying to also integrate docker within this custom image. I learned this is possible but I am having some blockers. Originally my solution supported the AWSCLI version 1, but I need to have AWSCLIv2. I learned to have v2 of the AWSCLI is a little complex, so that is why I am using Amazon's official image located here. Below is my dockerfile. When I try to build my image, I'm getting an error stating there is no docker package available, which is confusing to me because I had installed docker utilizing yum before. Any advice would be appreciated.
Dockerfile
...ANSWER
Answered 2021-May-08 at 09:02You need to add the docker repo to yum config manager first.
QUESTION
I'm facing an interesting challenge, I'm trying to run kubectl in a docker image with a proper configuration, to reach my cluster.
I've been able to create the image, kubecod
ANSWER
Answered 2021-Apr-27 at 13:37The answer is that
QUESTION
I want to use Kubeflow to check it out and see if it fits my projects. I want to deploy it locally as a development server so I can check it out, but I have Windows on my computer and Kubeflow only works on Linux. I'm not allowed to dual boot this computer, I could install a virtual machine, but I thought it would be easier to use docker, and oh boy was I wrong. So, the problem is, I want to install Kubernetes in a docker container, right now this is the Dockerfile I've written:
...ANSWER
Answered 2021-Feb-08 at 06:34As you thought you are right in case of using VM and that be easy to test it out.
Instead of setting up Kubernetes on docker you can use Linux base container for development testing.
There is linux container available name as LXC container. Docker is kind of application container while in simple words LXC is like VM for local development testing. you can install the stuff into rather than docker setting up application inside image.
read some details about lxc : https://medium.com/@harsh.manvar111/lxc-vs-docker-lxc-101-bd49db95933a
you can also run it on windows and try it out at : https://linuxcontainers.org/
If you have read the documentation of Kubeflow there is also one option multipass
Multipass creates a Linux virtual machine on Windows, Mac or Linux systems. The VM contains a complete Ubuntu operating system which can then be used to deploy Kubernetes and Kubeflow.
Learn more about Multipass : https://multipass.run/#install
QUESTION
I have installed kubernetes cluster thus I have a deployment file for jenkins.
...ANSWER
Answered 2021-Feb-14 at 18:08Try adding securityContext in your deployment
QUESTION
Need to add multiple commands in metadata_startup_script
in terraform
script to launch compute engine
instance in GCP
Following is my code
...ANSWER
Answered 2020-Dec-18 at 20:35You have 2 solution
- Escape the double quote "
QUESTION
I'm trying to build docker images for a Spring Boot application (2.3.6.RELEASE) using the spring-boot-maven-plugin build-image goal (buildpacks), but it's downloading the internet everytime! Is there a way to mount the .m2 directory to the buildpack, so it can use dependencies from the cache?
...ANSWER
Answered 2020-Nov-24 at 07:04There's probably a better way to do it, but I got it working by adding: -Dmaven.repo.local=/home/jenkins/.m2/repository
, so:
QUESTION
I'm trying to run some kubectl commands from within my container.
...ANSWER
Answered 2020-Sep-04 at 14:39/bin/sh: illegal option -
is because you have a space after the -c
, which the arg parser interprets as /bin/sh "- "
-- ironically(?) your golang snippet is correct, but the parts of your code you pasted and the crux of your question shows the wrong syntax
One can trivially reproduce this without involving busybox or whatever
QUESTION
I would request if someone can help in why my release pipeline to AKS cluster is failing. I'm using Azure Devops Release pipeline.
...ANSWER
Answered 2020-Sep-02 at 17:27Looks like this was something to do in the kubectl apply task in release pipeline. We have to go to right pane, scroll down, expand "advanced" and in version spec check the box "check for latest version". My pipeline built completed successfully. There was no issues in my deployment yaml.
Enabling this option ensures proper latest version of kubectl.exe is downloaded onto the VSTS agent
QUESTION
This is my first time of setting up Kubernetes on Google Cloud Platform.
These are the steps I followed:
I created an account on Google Cloud Platform and spun up a new instance:
...ANSWER
Answered 2020-Sep-02 at 14:27Installed kubectl on the server
You need kubectl
on machine, from which you're going to access your cluster. If you installed it on the server and you ran kubectl proxy
on the server - then you can access the proxy only from your server (depends on your network config).
If you do curl http://localhost:8001/api
on the server - it will work.
So, you need to install kubectl
on your machine, set up the k8s context for it and then run kubectl proxy
- after that, all requests to proxy will be forwarded to your cluster.
In each request to k8s API server
you need to be authenticated, when you run kubectl proxy
- basically proxy will take care of authentication and SSL/TLS related stuff.
Read this for more info: Use an HTTP Proxy to Access the Kubernetes API and The Kubernetes API
Configure Access to Multiple Clusters - may also be useful
So basically you need to do the following:
Note: These should be done directly on your local machine, and not on the server or the terminal connecting to the server, but directly on your local machine:
Install the gcloud SDK:
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