Vagrant is a tool focused on providing a consistent development environment workflow across multiple operation systems. Docker is a container management that can consistently run software as long as a containerization system exists. This page compares their features, pros and cons to see which is better and if they can work together.
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Below we have compiled publicly available sources from around the world that present views on Docker vs. Vagrant.
Best Practices for Running Containers and Kubernetes in Production Covering security, governance, monitoring, storage, networking, container life cycle management and container orchestration.
Developers have been haunted for decades by unexpected errors when running code on different machines. Luckily, these days there are some great tools designed to ease this pain.
Today, we’re going to take a look at two of the most popular tools – Docker and Vagrant – to see how they try to solve these problems, and which one you should be using for your development.
Setting up a new local environment can be challenging and really time-consuming if you're doing it from scratch. While this might not be a big deal when working as a single developer on a project, in a team-based scenario it's important to share the same infrastructure configuration. That's why we highly recommended using a tool like Docker to simplify the process
Are you looking for a well-defined, open-source, virtual environment you can easily share among team members? If the answer is yes, it may be time to get acquainted with Vagrant.This tutorial walks you through everything you need to know about configuring and managing Vagrant.
Using Docker with NGINX — NGINX is open source software for web serving, reverse proxying, caching, load balancing, media streaming, and more. This page gathers resources about how to load balance dockerized applications and how to use NGINX as a reverse proxy to Docker applications.
Using Docker with Jenkins — Jenkins is one of the most popular, if not the most popular, continuous integration and continuous deployment tool available. This process could become even more efficient using Docker and containers. This page gathers resources on why Docker is a good option when it comes to continuous deployment with Jenkins.
Using Docker with ElasticSearch — Elasticsearch is a powerful open source search and analytics engine that makes data easy to explore. This page gathers resources about how to use Docker with ElasticSearch, Kibana and Logstash for monitoring, log analysis and how to deploy elasticsearch docker containers.
Using Docker with MongoDB — MongoDB is a free and open-source cross-platform document-oriented database program. This page gathers resources about the challenges in running and orchestrating MongoDB in Docker containers, running MongoDB as a replica set in Docker and more.
Using Docker with PosgreSQL — Postgres, is an object-relational database management system with an emphasis on extensibility and standards compliance. This page gathers resources on some basic performance metrics for PostgreSQL when they are run as containers.
Using Docker with Python — Python packaging is awkward and confusing. Docker is a collection of various Linux features - namespaces, cgroups, union file-system - put together in such a way that you can package and distribute software in a language-agnostic container. Docker is a great way to skirt the pain of Python packaging.
Docker vs. Vagrant — Vagrant is a tool focused on providing a consistent development environment workflow across multiple operation systems. Docker is a container management that can consistently run software as long as a containerization system exists. This page compares their features, pros and cons to see which is better and if they can work together.