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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Virtualization Platform
  5. Kubernetes vs VirtualBox

Kubernetes vs VirtualBox

OverviewDecisionsComparisonAlternatives

Overview

VirtualBox
VirtualBox
Stacks31.1K
Followers25.6K
Votes1.1K
Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685

Kubernetes vs VirtualBox: What are the differences?

Kubernetes is a powerful container orchestration platform that streamlines the management of containerized applications, while VirtualBox is a virtualization software that enables the creation and management of virtual machines (VMs) on a local system. Here are the key differences between Kubernetes and VirtualBox:

  1. Use Case and Scope: Kubernetes is designed for orchestrating and managing containerized applications in a distributed environment. It provides tools for deploying, scaling, and managing containerized workloads across a cluster of machines. VirtualBox is a local virtualization solution that allows users to create and manage virtual machines on their personal computers. It's used for running multiple operating systems simultaneously on a single physical machine.

  2. Containerization vs Virtualization: Kubernetes operates at the container level, utilizing containers as the unit of deployment and scaling. Containers offer lightweight, isolated environments for applications and their dependencies. VirtualBox provides full hardware virtualization, creating complete virtual machines that mimic the behavior of physical computers. VMs include their own operating systems and consume more resources compared to containers.

  3. Management and Scaling: Kubernetes offers advanced management features such as automated load balancing, auto-scaling, rolling updates, and self-healing. It abstracts away the underlying infrastructure, making it easier to manage applications at scale. VirtualBox allows users to create, start, stop, and delete virtual machines on a single host. However, scaling and managing large numbers of VMs can be more challenging compared to Kubernetes.

  4. Deployment and DevOps: Kubernetes is a key player in the DevOps ecosystem, enabling continuous integration, continuous deployment (CI/CD), and efficient management of microservices. It's well-suited for cloud-native and containerized applications. VirtualBox is primarily used for local development, testing, and experimentation with virtual environments. While it can be used in development workflows, it doesn't offer the same level of automation and scalability as Kubernetes.

  5. Resource Efficiency: Kubernetes optimizes resource usage by sharing the host's kernel among containers, leading to better resource utilization and higher density. This enables running multiple containers on a single host. VirtualBox virtual machines have their own kernel and consume more resources since they run a full operating system in each VM, resulting in higher overhead.

  6. Networking: Kubernetes provides advanced networking features like service discovery, load balancing, and network policies, which are crucial for applications composed of multiple containers. VirtualBox offers basic networking options for connecting virtual machines to the host system and other VMs, but it lacks the advanced networking features of Kubernetes.

In summary, Kubernetes is tailored for orchestrating containerized applications in distributed environments, making it suitable for production workloads and cloud-native applications. On the other hand, VirtualBox is a local virtualization tool primarily used for development and testing purposes, allowing users to create and manage virtual machines on a single host. The choice between the two depends on the specific requirements of the project and the intended use case.

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Advice on VirtualBox, Kubernetes

Simon
Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

DecidedonGitHubGitHubGitHub PagesGitHub PagesMarkdownMarkdown

Our whole DevOps stack consists of the following tools:

  • @{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively @{Git}|tool:1046| as revision control system
  • @{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
  • @{Visual Studio Code}|tool:4202| as IDE
  • @{CircleCI}|tool:190| for continuous integration (automatize development process)
  • @{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
  • @{SonarQube}|tool:2638| as quality gate
  • @{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
  • @{VirtualBox}|tool:774| for operating system simulation tests
  • @{Kubernetes}|tool:1885| as cluster management for docker containers
  • @{Heroku}|tool:133| for deploying in test environments
  • @{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
  • @{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
  • @{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
  • @{PostgreSQL}|tool:1028| as preferred database system
  • @{Redis}|tool:1031| as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

  • Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
  • Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
  • Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
  • Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
  • Scalability: All-in-one framework for distributed systems.
  • Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
12.8M views12.8M
Comments
Anis
Anis

Founder at Odix

Nov 7, 2020

Review

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

115k views115k
Comments

Detailed Comparison

VirtualBox
VirtualBox
Kubernetes
Kubernetes

VirtualBox is a powerful x86 and AMD64/Intel64 virtualization product for enterprise as well as home use. Not only is VirtualBox an extremely feature rich, high performance product for enterprise customers, it is also the only professional solution that is freely available as Open Source Software under the terms of the GNU General Public License (GPL) version 2.

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Portability;No hardware virtualization required;Guest Additions: shared folders, seamless windows, 3D virtualization;Great hardware support;Multigeneration branched snapshots;VM groups;Clean architecture; unprecedented modularity;Remote machine display
Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable
Statistics
Stacks
31.1K
Stacks
61.2K
Followers
25.6K
Followers
52.8K
Votes
1.1K
Votes
685
Pros & Cons
Pros
  • 358
    Free
  • 231
    Easy
  • 169
    Default for vagrant
  • 110
    Fast
  • 73
    Starts quickly
Pros
  • 166
    Leading docker container management solution
  • 130
    Simple and powerful
  • 108
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
Cons
  • 16
    Steep learning curve
  • 15
    Poor workflow for development
  • 8
    Orchestrates only infrastructure
  • 4
    High resource requirements for on-prem clusters
  • 2
    Too heavy for simple systems
Integrations
No integrations available
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine

What are some alternatives to VirtualBox, Kubernetes?

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

Proxmox VE

Proxmox VE

It is a complete open-source platform for all-inclusive enterprise virtualization that tightly integrates KVM hypervisor and LXC containers, software-defined storage and networking functionality on a single platform, and easily manages high availability clusters and disaster recovery tools with the built-in web management interface.

VMware vSphere

VMware vSphere

vSphere is the world’s leading server virtualization platform. Run fewer servers and reduce capital and operating costs using VMware vSphere to build a cloud computing infrastructure.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

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