Update vagrant.md (#8663)

To read it easily, this puts new lines.
pull/8656/head
Kenichi Omichi 2022-03-31 00:07:00 -07:00 committed by GitHub
parent 6af9cae0a5
commit 6cc9da6b0a
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 40 additions and 9 deletions

View File

@ -1,18 +1,40 @@
# Vagrant
Assuming you have Vagrant 2.0+ installed with virtualbox, libvirt/qemu or vmware, but is untested) you should be able to launch a 3 node Kubernetes cluster by simply running `vagrant up`. This will spin up 3 VMs and install kubernetes on them. Once they are completed you can connect to any of them by running `vagrant ssh k8s-[1..3]`.
Assuming you have Vagrant 2.0+ installed with virtualbox, libvirt/qemu or
vmware, but is untested) you should be able to launch a 3 node Kubernetes
cluster by simply running `vagrant up`.
To give an estimate of the expected duration of a provisioning run: On a dual core i5-6300u laptop with an SSD, provisioning takes around 13 to 15 minutes, once the container images and other files are cached. Note that libvirt/qemu is recommended over virtualbox as it is quite a bit faster, especially during boot-up time.
This will spin up 3 VMs and install kubernetes on them.
Once they are completed you can connect to any of them by running `vagrant ssh k8s-[1..3]`.
For proper performance a minimum of 12GB RAM is recommended. It is possible to run a 3 node cluster on a laptop with 8GB of RAM using the default Vagrantfile, provided you have 8GB zram swap configured and not much more than a browser and a mail client running. If you decide to run on such a machine, then also make sure that any tmpfs devices, that are mounted, are mostly empty and disable any swapfiles mounted on HDD/SSD or you will be in for some serious swap-madness. Things can get a bit sluggish during provisioning, but when that's done, the system will actually be able to perform quite well.
To give an estimate of the expected duration of a provisioning run:
On a dual core i5-6300u laptop with an SSD, provisioning takes around 13
to 15 minutes, once the container images and other files are cached.
Note that libvirt/qemu is recommended over virtualbox as it is quite a bit
faster, especially during boot-up time.
For proper performance a minimum of 12GB RAM is recommended.
It is possible to run a 3 node cluster on a laptop with 8GB of RAM using
the default Vagrantfile, provided you have 8GB zram swap configured and
not much more than a browser and a mail client running.
If you decide to run on such a machine, then also make sure that any tmpfs
devices, that are mounted, are mostly empty and disable any swapfiles
mounted on HDD/SSD or you will be in for some serious swap-madness.
Things can get a bit sluggish during provisioning, but when that's done,
the system will actually be able to perform quite well.
## Customize Vagrant
You can override the default settings in the `Vagrantfile` either by directly modifying the `Vagrantfile` or through an override file. In the same directory as the `Vagrantfile`, create a folder called `vagrant` and create `config.rb` file in it. An example of how to configure this file is given below.
You can override the default settings in the `Vagrantfile` either by
directly modifying the `Vagrantfile` or through an override file.
In the same directory as the `Vagrantfile`, create a folder called
`vagrant` and create `config.rb` file in it.
An example of how to configure this file is given below.
## Use alternative OS for Vagrant
By default, Vagrant uses Ubuntu 18.04 box to provision a local cluster. You may use an alternative supported operating system for your local cluster.
By default, Vagrant uses Ubuntu 18.04 box to provision a local cluster.
You may use an alternative supported operating system for your local cluster.
Customize `$os` variable in `Vagrantfile` or as override, e.g.,:
@ -20,15 +42,23 @@ Customize `$os` variable in `Vagrantfile` or as override, e.g.,:
echo '$os = "flatcar-stable"' >> vagrant/config.rb
```
The supported operating systems for vagrant are defined in the `SUPPORTED_OS` constant in the `Vagrantfile`.
The supported operating systems for vagrant are defined in the `SUPPORTED_OS`
constant in the `Vagrantfile`.
## File and image caching
Kubespray can take quite a while to start on a laptop. To improve provisioning speed, the variable 'download_run_once' is set. This will make kubespray download all files and containers just once and then redistributes them to the other nodes and as a bonus, also cache all downloads locally and re-use them on the next provisioning run. For more information on download settings see [download documentation](/docs/downloads.md).
Kubespray can take quite a while to start on a laptop. To improve provisioning
speed, the variable 'download_run_once' is set. This will make kubespray
download all files and containers just once and then redistributes them to
the other nodes and as a bonus, also cache all downloads locally and re-use
them on the next provisioning run. For more information on download settings
see [download documentation](/docs/downloads.md).
## Example use of Vagrant
The following is an example of setting up and running kubespray using `vagrant`. For repeated runs, you could save the script to a file in the root of the kubespray and run it by executing 'source <name_of_the_file>.
The following is an example of setting up and running kubespray using `vagrant`.
For repeated runs, you could save the script to a file in the root of the
kubespray and run it by executing 'source <name_of_the_file>.
```ShellSession
# use virtualenv to install all python requirements
@ -74,7 +104,8 @@ sudo ln -s $PWD/$INV/artifacts/kubectl /usr/local/bin/kubectl
export PATH=$PATH:$PWD/$INV/artifacts
```
If a vagrant run failed and you've made some changes to fix the issue causing the fail, here is how you would re-run ansible:
If a vagrant run failed and you've made some changes to fix the issue causing
the fail, here is how you would re-run ansible:
```ShellSession
ansible-playbook -vvv -i .vagrant/provisioners/ansible/inventory/vagrant_ansible_inventory cluster.yml