A guide to creating isolated, disposable development environments using Vagrant, Docker, and arkade for reproducible, clean, and efficient workflows.
A developer's experience returning to Windows for software development after six years, focusing on WSL, Vagrant, Hyper-V, and Docker performance.
A guide comparing local development, Vagrant, and Docker for web projects, helping developers choose the right tool for their workflow.
Recap of a Python Frederick meetup where Patrick Pierson presented on Django, covering local development tools like Docker and Vagrant.
Fedora Scientific now offers Vagrant boxes, providing a pre-configured environment for scientific computing with KDE desktop and open-source tools.
A guide on using Packer to build custom Fedora Scientific Vagrant boxes for VirtualBox, including troubleshooting SSH issues.
Announcing pre-release Vagrant boxes for Fedora Scientific, making it easier to run this scientific computing environment in a virtual machine.
A guide to optimizing Vagrant performance for Symfony development on Windows, covering plugin installation, PHP7 setup, and cache/log configuration.
Tips for improving Rails development performance in Vagrant by addressing logging and filesystem bottlenecks.
Announcing Laravel Homestead 2.0, a major update that transitions the tool into a globally installable Composer package.
A developer's guide to using Vagrant for virtual machine management and transitioning from shell scripts to Puppet for advanced provisioning.
A guide to configuring Vagrant networking with bridged interfaces and static IPs for internet-accessible virtual machines.
Benchmarking and analysis of filesystem performance for shared folders in VirtualBox and VMware virtual machines, including NFS.
Explains the core principles and workflow of Vagrant for creating consistent, automated development environments that mirror production.
Vagrant creator explains why he abandoned RubyGems for installer packages, focusing on user experience and stability for a diverse user base.
A guide to making Python application deployments less painful, covering tools, best practices, and workflows from a 2013 talk.
