Docker

Introduction Gotify is a lightweight, self-hosted notification service designed for ease of use and minimal resource consumption. In this guide, we’ll walk through setting up Gotify with Docker, using PostgreSQL as the database backend. Prerequisites A server with Docker and Docker Compose installed Basic familiarity with command-line operations A reverse proxy setup (e.g., Nginx, Caddy, or Traefik) if you want to secure access Step 1: Prepare the Environment Variables Create a .env file in your project directory to store environment variables: ...

About the Bundle This bundle includes the following books: Learning Git: A Hands-On and Visual Guide to the Basics of Git by Anna Skoulikari Efficient Linux at the Command Line by Daniel J. Barrett Web Application Security: Exploitation and Countermeasures for Modern Web Applications by Andrew Hoffman Network Programmability and Automation: Skills for the Next-Generation Network Engineer by Matt Oswalt, Christian Adell, Scott Lowe, Jason Edelman Python for Devops: Learn Ruthlessly Effective Automation by Noah Gift, Kennedy Behrman, Alfredo Deza, Robert Jordan, Grig Gheorghiu Terraform: Up and Running, 3rd Edition by Yevgeniy Brikman Docker: Up & Running: Shipping Reliable Containers in Production by Karl Matthias, Sean P. Kane Kubernetes: Up & Running by Kelsey Hightower, Brendan Burns, Joe Beda Practical Linux System Administration: A Guide to Installation, Configuration, and Management by Ken Hess Ansible: Up and Running: Automating Configuration Management and Deployment the Easy Way by Lorin Hochstein Linux Pocket Guide by Daniel J. Barrett Learning DevSecOps: A Practical Guide to Processes and Tools by Steve Suehring Learning Modern Linux: A Handbook for the Cloud Native Practitioner by Michael Hausenblas FastAPI: Modern Python Web Development by Bill Lubanovic

Uptime Kuma is a sleek and powerful uptime monitoring tool designed for self-hosters. In this guide, I’ll show you how to deploy Uptime Kuma using Docker and Docker Compose. Prerequisites Before diving in, ensure you have the following: Docker and Docker Compose installed on your system. Familiarity with creating and editing files in a terminal. A reverse proxy (e.g., Traefik or Nginx Proxy Manager) if you plan to make the service available externally. Docker Compose Configuration Here’s the docker-compose.yml file you can use to deploy Uptime Kuma: ...

Introduction ActivePieces is a powerful automation tool that can be deployed using Docker Compose. In this guide, I’ll walk through my custom deployment configuration and provide helpful notes for setup, troubleshooting, and future improvements. This guide assumes you are experienced with Docker troubleshooting and have a preferred reverse proxy setup. Configuring the reverse proxy is beyond the scope of this article. I personally use and endorse Traefik. Docker Compose Configuration Here is the docker-compose.yml file I use to deploy ActivePieces: ...

How to Set Up Huginn with MariaDB on Docker In this guide, we’ll walk through the process of setting up Huginn, a powerful open-source system for automating tasks and managing workflows, using Docker. We’ll use MariaDB as the backend database and go over how to configure it with simple environment variables. Prerequisites Before we start, you’ll need: Docker and Docker Compose installed on your server. A basic understanding of Docker Compose and containerized applications. A server or machine running a Linux or macOS-based operating system. If you’re on macOS, you will need to install the uuid command line tool through Homebrew. You can do so with the following command: ...

Introduction I’m writing this just before hopping on a long trans-atlantic flight. I’m not betting on the in-flight WiFi being very good, so I’m taking the time to get a local AI assistant running on my laptop. I think many travelers will be interested in setting something like this up, so I’d like to take the time to document a lot of how I’m doing this… and hopefully make it easier for others to get it going. ...

Why Run Containers Locally? Running containers on your development machine has become an essential practice for modern software development. Local containers provide: Consistent development environments across team members Quick testing of containerized applications without remote dependencies Easy experimentation with different software stacks Simplified microservices development and testing Efficient resource usage compared to traditional virtual machines Why Podman Instead of Docker Desktop? While Docker Desktop has been the de facto standard for local container development, Podman offers several compelling advantages: ...