Skip to content

alexey-gavrilov-flant/website

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

werf website

This repository contains files required to build the werf CI/CD tool website and run it locally.

It includes all of website pages with the only exception for the official werf documentation which can be found in the main werf repo since it's versioned and provided together with werf releases themselves (e.g. we have the documentation for werf v1.2.51, v1.1.23, and so on).

The website is based on Jekyll. We have also implemented our own jekyll_include_plugin.

werf guides

This repo is also as a source for the content displayed in our werf guides which are in-depth free online tutorials to learn how you can use werf to deploy your apps to Kubernetes.

werf guides will work even for those who have no experience with Kubernetes. Combining the theory and practice of development (Dev) and operation (Ops), they will guide you step by step from learning the basics of werf and Kubernetes to fully benefit from running highly available apps in K8s clusters.

werf guides provide instructions for different programming languages/frameworks including:

  • JavaScript (Node.js),
  • Java (Spring Boot),
  • Python (Django),
  • Go,
  • Ruby (Ruby on Rails),
  • PHP (Laravel).

All guides' articles are currently available in two languages, English and Russian.

Contributions

Any fixes, improvements, and feedback are much appreciated!

Please propose your ideas using issues and PRs in this repo. If you're interested in running werf website locally, please refer to DEVELOPMENT.md.

Feel free to reach us in this Telegram chat if you have any questions. (There is a Russian-speaking Telegram chat as well.)

Packages

No packages published

Languages

  • Liquid 67.1%
  • CSS 9.0%
  • HTML 8.7%
  • Shell 3.8%
  • JavaScript 3.4%
  • Go 3.2%
  • Other 4.8%