Virtual Machines are heavyweight deployment options that run as full-blown computers with virtual hardware, their own operating system (OS), and are ideal for scenarios where you need to run multiple OSes on the same machine.
Docker containers, on the other hand, are lightweight and do not require full OS and virtual hardware, reduces overhead, offer faster startup times and are ideal for agile and scalable cloud-native apps.
If you need strong isolation, especially between different operating systems, go with virtual machines while Docker is more suitable for speed, portability, and scalability.
Larger organizations often use both tools, depending on the individual situation as both are incredibly useful when utilized with proper understanding and requirements of an application.
Virtual machines need complex setup, including configuring the OS, installing dependencies, and managing virtual hardware, while Docker simplifies the process of packaging and deploying apps using Docker files to define dependencies.
VMs consume more system resources and come with higher overhead that impacts performance while Docker containers are lightweight, scalable and offer process-level isolation.
Example use cases for virtual machines include needing strong isolation between environments and running apps that require different OSes. Docker, on the other hand, is ideal for microservices architecture and modern cloud-native apps.
Full OS-level isolation and more resource consumption gives VMs an edge when it comes to heavy isolation, but Docker wins in scalability and portability.
Both Docker and Virtual Machines are reliable tools, and the right choice depends on personal requirements. Docker is fast, portable, and scalable, while VMs offer greater isolation and the ability to run applications requiring different OSes.
Understanding an application's needs will guide whether to choose VMs or Docker for deployment.