Code Monkey home page Code Monkey logo

stack-docs's Introduction

stack-docs

This repository is the home for the cross-stack (Elastic Stack) documentation, such as the Installation and Configuration Guide and the Machine Learning Guide.

Directories

Within this repo, the /docs/en/ directory is structured as follows:

Directory Description
getting-started Contains the source files for the Getting Started Guide.
gke-on-prem Contains the source files for Elastic Stack and Google Cloud's Anthos
glossary Contains the source files for the Elastic Glossary.
install-upgrade Contains the source files for the Elastic Installation and Upgrade Guide.
stack/ml Contains the source files for the Machine Learning Guide.

Backporting

In general, we backport documentation changes only to live stack versions.

To automatically create backport PRs, add the appropriate backport labels (such as backport-8.1).

If no backport PRs are required or you want to backport manually, add the backport-skip label. We recommend using the backport tool to easily open backport PRs. If you need help, ping @mlr-docs and we'd be happy to help.

Build

To build the docs:

  1. Identify which book you want to build and whether it has any dependencies on other repositories. You can see the required repositories for each book in either the conf.yaml or the doc_build_aliases.sh file.

  2. Check out the elastic/docs repository and any other necessary repositories.

  3. Run the appropriate build_docs script, as listed in the doc_build_aliases.sh file.

stack-docs's People

Contributors

lcawl avatar szabosteve avatar debadair avatar benskelker avatar dedemorton avatar jrodewig avatar bmorelli25 avatar jkakavas avatar kilfoyle avatar stacey-gammon avatar karenzone avatar simianhacker avatar pickypg avatar kotungseth avatar clintongormley avatar cjcenizal avatar nastasha-solomon avatar tvernum avatar bizybot avatar kobelb avatar benwtrent avatar gchaps avatar narcher7 avatar titch990 avatar davidkyle avatar danroscigno avatar abdonpijpelink avatar benironside avatar sue-gallagher avatar ycombinator avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.