
That doesn’t make it easy for you to focus on the actual development work.
Docker vs vagrant manual#
However, manual operations are not scalable and can be error prone.

You can use the hypervisor’s native GUI or CLI interface to create, start, stop, or delete virtual machines in your laptop. Using virtualization technology, it’s possible to run multiple computing environments in a developer workstation, each for a different purpose. The VM thinks it’s the only machine in an isolated environment, but in reality, there may be multiple VMs running on the same physical machine-all receiving a portion of the underlying CPU, RAM, disk, and network bandwidth. A special kind of software, called the hypervisor interfaces with the physical machine’s hardware (or in case of Type-II hypervisors, with the operating system) and abstracts its hardware resources.Ībstracting simply means when the VM runs, the hypervisor presents it with a finite amount of hardware resources from the actual machine. VMs comprise one or more computer files living inside a physical machine, like a server or a laptop.

Virtual Machines and VagrantĪ VM is identical to an entire computing environment, complete with the hardware resources (CPU, RAM, disk, networking) and an operating system. Let’s get started with some basic introductions. You’ll be able to compare their speed of provisioning, security, usability, ease of replication, and other factors that will help you choose the right technology. This article covers the differences between Vagrant and Docker and explains how they help create consistent development environments. Docker, on the other hand, further abstracts the hardware, operating system, and low-level libraries, creating small, lightweight containers with only the required applications and their necessary runtimes installed. Two technologies- Vagrant and Docker-are particularly popular solutions.įor a quick comparison, Vagrant allows developers to automate spinning up VMs in local workstations from a base image, ensuring all the application-specific libraries and components are always present in the VM no matter what physical machine it’s running on. Thanks to an abundance of enterprise-ready open-source applications over the last decade, it’s never been easier to create consistent, disposable development environments. Developers have to be able to tear down a development environment and build another one as quickly as possible.
Docker vs vagrant code#
And of course, development teams often work on multiple projects at the same time, so they need to keep operating systems and code libraries separate for each project. This in turn requires a fleet of consistent development environments to minimize dependency failures and facilitate system testing.
Docker vs vagrant software#
As a result, software engineers must ensure that their local development environments closely resemble the target infrastructure to ensure that code runs smoothly in production.

There’s a modern trend for enterprise applications to either be containerized or deployed in virtual machines (VMs).
