Пакет
Selfmanagement
selfmanagement_preset
Version
Описание

Подсистема для само-администрирования, само-мониторинга и само-восстановления компонентов, сервисов и приложений.

Nodejs

Программный стек для приложений Node.JS

Databases

Коллекция размещаемых в памяти базами данных и систем кэширования.

Databases

Коллекция NoSQL средств управления базами данных.

Lamp

Классическое рабочее окружение веб-приложений c Linux, Apache, MySQL и PHP. PHP работает как модуль Apache mod_php.

Опциональные компоненты: Memcached, Redis, Tarantool.

Lemp

Современное рабочее окружение веб-приложений c Linux, Nginx, MySQL и PHP. Оно подобно стеку LAMP, но вместо веб-сервера Apache использует более легковесный и быстрый сервер Nginx. PHP работает в режиме php-fpm.

Опциональные компоненты: Memcached, Redis, Tarantool.

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 PyTorch, an open source machine learning library, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
pytorch:0.3.0, python:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.111, selfmanagement_preset, development_preset:1