Ryan Kraus rmkraus

## remote_crc.md

      
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                tonykhbo
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                — forked from tmckayus/remote_crc.md
            
              
                Running 'crc' on a remote server
              
          
    Overview: running crc on a remote server

This original 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 original gist by Roberto ha

  
## remote_crc.md

      
              1 file
            
          
              20 forks
            
          
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              38 stars
            
          
                tmckayus
                / remote_crc.md
            
            
              Last active
              May 17, 2024 21:58
            
              
                Running 'crc' on a remote server
              
          
    Overview: running crc on a remote server

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

  
## tornado_basic_auth.py
# A decorator that lets you require HTTP basic authentication from visitors.
# Kevin Kelley <kelleyk@kelleyk.net> 2011
# Use however makes you happy, but if it breaks, you get to keep both pieces.

# Post with explanation, commentary, etc.:
# http://kelleyk.com/post/7362319243/easy-basic-http-authentication-with-tornado

# Usage example:
#@require_basic_auth
#class MainHandler(tornado.web.RequestHandler):
	# A decorator that lets you require HTTP basic authentication from visitors.
	# Kevin Kelley <kelleyk@kelleyk.net> 2011
	# Use however makes you happy, but if it breaks, you get to keep both pieces.

	# Post with explanation, commentary, etc.:
	# http://kelleyk.com/post/7362319243/easy-basic-http-authentication-with-tornado

	# Usage example:
	#@require_basic_auth
	#class MainHandler(tornado.web.RequestHandler):