Module
 default
linux-appliance-mothership
Branches
Ruolo
Databases

CockroachDB, clustered RDBMS

Databases

PostgreSQL family of the relational database management systems.

Databases

Collection of MySQL compatible relational database management systems.

Lamp

Long term supported web application environment with Linux, Apache 2.2, MySQL 5.1 and PHP 5.2. PHP works as the mod_php Apache module.

Lamp

Long term supported web application environment with Linux, Apache 2.2, MySQL and PHP 5.3. PHP works as the mod_php Apache module.

Nginx
A pre-configured and ready-to-use Node.js 7 web stack with Nginx.
nodejs:7.9.0, min-nginx:1.11.2, selfmanagement_preset, development_preset, express_js_blank:1
Nginx
A pre-configured and ready-to-use Node.js 7 web stack with Nginx.
nodejs:7.9.0, min-nginx:1.11.2, selfmanagement_preset, development_preset, express_js_blank:1
Wordpress
The maximum performance one-click install solution for Wordpress 4, a free and open-source content management system (CMS), running on completely integrated, pre-configured and optimized LEMP stack with the freshest version of PHP 7.
wordpress:4.7.5, php:7.1.4, mariadb-mysqld:10.1.22, min-nginx:1.11.2, selfmanagement_preset, phpmyadmin:4.7.0
Lemp
A pre-configured and optimized for better performance LEMP environment for web-applications with the next generation of PHP version 7. It is similiar to the LAMP stack, where Apache is replaced with the lightweight yet powerful Nginx, and PHP works in `php-fpm` mode.
min-nginx:1.11.2, mariadb-mysqld:10.1.22, php:7.1.4, selfmanagement_preset, phpmyadmin:4.7.0, memcached:1.4.36, redis:3.2.8
Machine learning
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and the Python programming language. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack is designed for short and long-running high-performance tasks, and can be easily integrated into continuous integration and deployment workflows. It is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.
tensorflow:1.8.0, python:3.6.3, development_preset:1