This document shows how to deploy an OpenShift instance on a server using CodeReady Containers (crc) that can be accessed remotely from one or more client machines (sometimes called a "headless" instance). This provides a low-cost test and development platform that can be shared by developers. Deploying this way also allows a user to create an instance that uses more cpu and memory resources than may be available on his or her laptop.

While there are benefits to this type of deployment, please note that the primary use case for crc is to deploy a local OpenShift instance on a workstation or laptop and access it directly from the same machine. The headless setup is configured completely outside of crc itself, and supporting a headless setup is beyond the mission of the crc development team. Please do not ask for changes to crc to support this type of deployment, it will only cost the team time as they politely decline :)

The instructions here were tested with F

Prosody is an XMPP server. My instance is currently hosted on a DigitalOcean VM, running in the smallest droplet avaialble, which is still far more resources than a server with just a few users needs.

At the end of these steps we will have a Prosody server which is isolated (no server-to-server comms), requires an administrator to create new user accounts, is using valid SSL certs issued by Let's Encrypt, and capable of handling file transfers up to 10MiB in size via the https upload service. This was written with CentOS 7.6.

Before beginning, make sure you have DNS entries for the following:

Ansible Operator makes it easy for you to write Ansible to package operational knowledge into a Kubernetes application. Ansible Playbook Bundles (APBs) are lightweight application definitions designed to make cloud services available to the Kubernetes Service Catalog through the Automation Broker. This

kubectl create -f https://raw.githubusercontent.com/kubernetes/dashboard/master/src/deploy/recommended/kubernetes-dashboard.yaml

kubectl describe svc/kubernetes-dashboard -n kube-system

kubectl create serviceaccount kadmin -n kube-system
kubectl create clusterrolebinding kadmin --clusterrole=cluster-admin --serviceaccount=kube-system:kadmin

• Save the yaml below as eks-lb-0-deployment.yaml.
• Use kubectl to create the deployment: kubectl create -f eks-lb-0-deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: nginx
 name: nginx