Sergey sshnaidm

Usage:

```
$ mkdir RHEL9Doc
$ cd RHEL9Doc
$ fetchdoc.sh https://docs.redhat.com/en/documentation/red_hat_enterprise_linux/9
```

Prerequirement: curl, GNU Parallel

2024-11-21: fix for docs.redhat.com update

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

Nginx Reverse Proxy for homelab services using SSO

NOTE: This document has now been added to the nginx-sso wiki, here. Any further updates will be made there.

Using:

Docker
Nginx
nginx-sso

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

Packages

lxml - Pythonic binding for the C libraries libxml2 and libxslt.
boto - Python interface to Amazon Web Services
Django - Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
Fabric - Library and command-line tool for streamlining the use of SSH for application deployment or systems administration task.
PyMongo - Tools for working with MongoDB, and is the recommended way to work with MongoDB from Python.
Celery - Task queue to distribute work across threads or machines.
pytz - pytz brings the Olson tz database into Python. This library allows accurate and cross platform timezone calculations using Python 2.4 or higher.