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  1. Stackups
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  4. Virtualization Platform
  5. Docker Swarm vs VMware vSphere

Docker Swarm vs VMware vSphere

OverviewDecisionsComparisonAlternatives

Overview

VMware vSphere
VMware vSphere
Stacks608
Followers550
Votes30
Docker Swarm
Docker Swarm
Stacks779
Followers990
Votes282

Docker Swarm vs VMware vSphere: What are the differences?

Introduction

Docker Swarm and VMware vSphere are two popular virtualization technologies that offer different approaches to managing and orchestrating containers and virtual machines. Understanding the key differences between Docker Swarm and VMware vSphere is important for making informed decisions about which technology to use in different scenarios.

  1. Scalability: Docker Swarm is designed for scaling containerized applications. It allows you to easily scale containers horizontally by adding or removing nodes in a Docker Swarm cluster. On the other hand, VMware vSphere is primarily used for managing virtual machines (VMs) and is better suited for scaling VM-based applications vertically by adding more resources to individual VMs.

  2. Resource Utilization: Docker Swarm provides efficient utilization of resources by allowing multiple containers to share the same underlying host operating system. This enables higher density and better resource utilization. In contrast, VMware vSphere uses virtualization to provide isolation between virtual machines, which may result in lower resource utilization compared to Docker Swarm.

  3. Management Complexity: Docker Swarm follows a declarative approach to deployment and management. It uses a simple YAML file to define the desired state of the swarm and automatically reconciles any differences between the desired and actual state. VMware vSphere, on the other hand, requires manual configuration and management of each virtual machine, which can be more complex and time-consuming.

  4. Container-native Networking: Docker Swarm includes its own built-in networking solution called overlay networks. It allows containers to communicate with each other across different hosts without requiring any complex network configurations. In contrast, VMware vSphere relies on traditional networking technologies, such as VLANs and virtual switches, which may require additional configuration and management overhead.

  5. Platform Independence: Docker Swarm is platform-agnostic and can run on any infrastructure that supports Docker containers, including Linux, Windows, and macOS. This provides more flexibility in choosing the underlying infrastructure for container deployment. VMware vSphere, on the other hand, is tightly integrated with VMware's vSphere virtualization platform and is limited to running on VMware-supported hardware and software.

  6. Ecosystem and Integration: Docker Swarm benefits from the large and active Docker ecosystem, which includes a wide range of tools and services for building, managing, and deploying containers. It integrates seamlessly with other Docker tools like Docker Compose and Docker Registry. VMware vSphere has its own ecosystem and integrates well with other VMware products and technologies, such as vCenter Server and vRealize Suite.

In summary, Docker Swarm and VMware vSphere differ in their scalability approach, resource utilization, management complexity, networking capabilities, platform independence, and ecosystem integration. Understanding these differences can help in choosing the appropriate technology for specific use cases and deployment scenarios.

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Advice on VMware vSphere, Docker Swarm

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
Pavel
Pavel

Jan 27, 2021

Needs adviceonLinuxLinuxWindowsWindowsDockerDocker

Hello, we have a bunch of local hosts (Linux and Windows) where Docker containers are running with bamboo agents on them. Currently, each container is installed as a system service. Each host is set up manually. I want to improve the system by adding some sort of orchestration software that should install, update and check for consistency in my docker containers. I don't need any clouds, all hosts are local. I'd prefer simple solutions. What orchestration system should I choose?

199k views199k
Comments

Detailed Comparison

VMware vSphere
VMware vSphere
Docker Swarm
Docker Swarm

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.

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.

Powerful Server Virtualization;Network Services;Efficient Storage;Consistent Automation;High Availability;Robust Security
-
Statistics
Stacks
608
Stacks
779
Followers
550
Followers
990
Votes
30
Votes
282
Pros & Cons
Pros
  • 8
    Strong host isolation
  • 6
    Industry leader
  • 5
    Great VM management (HA,FT,...)
  • 4
    Easy to use
  • 2
    Great Networking
Cons
  • 9
    Price
Pros
  • 55
    Docker friendly
  • 46
    Easy to setup
  • 40
    Standard Docker API
  • 38
    Easy to use
  • 23
    Native
Cons
  • 9
    Low adoption
Integrations
No integrations available
Docker
Docker

What are some alternatives to VMware vSphere, Docker Swarm?

VirtualBox

VirtualBox

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

Kubernetes

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.

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.

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.

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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