I was under the impression most things would take 3 lines or less, but so far this is what I've tried without success. Please help! :-) I love what you've done so far and if I can POC it would like to see how I can leverage it for making the ops easier for data scientists.
#!/bin/bash
# k3ai installer
echo "Installing kubectl, k9s, docker, k3s, and k3ai."
# install docker
sudo apt update
sudo apt install apt-transport-https ca-certificates curl software-properties-common
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu focal stable"
sudo apt update
apt-cache policy docker-ce
sudo apt install docker-ce
sudo systemctl status docker
sudo usermod -aG docker $USER
exec $SHELL
sudo mkdir -p /etc/systemd/system/docker.service.d/
cat << EOF | sudo tee /etc/systemd/system/docker.service.d/proxy.conf
[Service]
Environment="HTTP_PROXY=${HTTPS_PROXY}"
Environment="HTTPS_PROXY=${https_proxy}"
Environment="NO_PROXY=localhost,127.0.0.1,::1,.internal.domain.com"
EOF
# install kubectl
cd /tmp
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl
# install k9s
curl -LO "https://github.com/derailed/k9s/releases/download/v0.24.9/k9s_Linux_x86_64.tar.gz"
tar -xvf k9s*.tar.gz
sudo install -o root -g root -m 0755 k9s /usr/local/bin/k9s
# install k3s
#curl -sfL https://get.k3s.io | sh -
#k3s kubectl get node
# install k3ai
curl -fL "https://get.k3ai.in" -o k3ai.tar.gz
tar -xvzf k3ai.tar.gz
sudo install -o root -g root -m 0755 k3ai /usr/local/bin/k3ai
echo "DONE. You can now proceed with the init steps here:"
echo " https://docs.k3ai.in/examples/hello-home"
echo "If the above installation or next init steps fail, ensure you have set both"
echo " http_proxy and https_proxy variables, then rerun this script and"
echo " they will be configured for docker."
echo "Also make sure you have performed `docker login` for dockerhub."Then
k3ai init --local k3s
or
k3ai init --confing ~/.k3ai/config.yaml
with all the other parts except k3s commented out.
I also tried installing k3s as noted above (commented out).
I'm still getting the follow errors in output:
me@k3ai:~$ k3ai init --config .k3ai/config.yaml
☑️ Checking requirements for local deployment...
☑️ Installing infrastructure for local deployment...
% Total % Received % Xferd Average Speed Time Time Time Current
Dload Upload Total Spent Left Speed
0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0Warning: Failed to create the file /home/nick_reith/k3s: Is a directory
3 24986 3 791 0 0 1557 0 0:00:16 --:--:-- 0:00:16 1557
curl: (23) Failed writing body (0 != 791)
chmod: cannot access './home/me/k3s': No such file or directory
mv: cannot stat './home/me/k3s': No such file or directory
[1] 17364
☑️ Infrastructure ready, proceeding to plugins installation (if any)...
☑️ Add Plugins to local deployment...
fork/exec bin/sh: no such file or directory
fork/exec bin/sh: no such file or directory
☑️ Plugins added to local deployment...
🎉 Local deployment completed, have fun with k3ai!
To use K3ai copy the following line: 🦾
➡️ export KUBECONFIG=/etc/rancher/k3s/k3s.yaml
Thank you again for using K3ai, don't forget to check our docs at 🗺️ https://docs.k3ai.in
nick_reith@k3ai:~$ k3ai apply jupyter-minimal
Plugin YAML content: [{https://raw.githubusercontent.com/kf5i/k3ai-plugins/main/common/jupyter/base/deployment.yaml file}], name: jupyter-minimal
Unable to connect to the server: Service Unavailable
Unable to connect to the server: Service Unavailable
Unable to connect to the server: Service Unavailable
2021/05/12 02:33:13 Error during create: exit status 1
I was under the impression most things would take 3 lines or less, but so far this is what I've tried without success. Please help! :-) I love what you've done so far and if I can POC it would like to see how I can leverage it for making the ops easier for data scientists.
Then
k3ai init --local k3s or k3ai init --confing ~/.k3ai/config.yamlwith all the other parts except k3s commented out.
I also tried installing k3s as noted above (commented out).
I'm still getting the follow errors in output: