Wiki.js for your documentation in docker

Wiki.js is an open-source wiki platform that enables teams to create, share and collaborate on knowledge in a single place. It is designed to be user-friendly, highly customizable, and secure. The platform supports Markdown syntax, WYSIWYG editor, and provides features such as version control, access control, and full-text search. Wiki.js is also highly scalable and can be installed on a variety of hosting platforms, including Docker containers. Overall, Wiki.js offers an efficient way for teams to manage knowledge, improve communication, and increase productivity.

How to install NextCloud via Docker

Nextcloud is an open-source platform for file-sharing and collaboration services. It provides a self-hosted and secure environment for managing files, calendars, contacts, tasks, and collaborating on documents. With Nextcloud, users can have control over their data and avoid relying on third-party cloud services. It offers strong security and privacy features, such as end-to-end encryption and two-factor authentication. Nextcloud is highly customizable with plugins and integrations and can be used for personal or enterprise-level collaboration.

Install a php script in PHP-FPM & Caddy via Docker

Install docker Either regular docker install or rootless. Create a new directory Create a new directory where you will store your Docker Compose file and PHP/html etc files. For example, you can create a directory called “phpapp” in your home directory: write a docker compose file paste the below code in a new file called… Continue reading Install a php script in PHP-FPM & Caddy via Docker

Install Caddy reverse proxy via Docker

Why caddy? These are just some of Caddy’s amazing features! Install Docker and Docker Compose if you haven’t already. View our docker guide here & our docker rootless guide here. Scenario: you have a new app you wrote or installed via docker called mycoolapp you want to allow the outside world to connect to this… Continue reading Install Caddy reverse proxy via Docker

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