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  1. Stackups
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  3. Container Registry
  4. Container Tools
  5. Docker Swarm vs Portainer

Docker Swarm vs Portainer

OverviewDecisionsComparisonAlternatives

Overview

Docker Swarm
Docker Swarm
Stacks779
Followers990
Votes282
Portainer
Portainer
Stacks506
Followers842
Votes146

Docker Swarm vs Portainer: What are the differences?

Introduction

Docker Swarm and Portainer are both tools used for Docker container orchestration and management. While they serve similar purposes, there are key differences that set them apart. In this analysis, we will highlight the main distinctions between Docker Swarm and Portainer.

  1. Architecture and Scalability: Docker Swarm is a native clustering and orchestration solution provided by Docker. It allows the creation of a swarm cluster with multiple manager and worker nodes, providing high availability and fault tolerance. On the other hand, Portainer is a GUI-based management tool that can be used to manage Docker environments, including Swarm clusters. Portainer does not handle clustering itself but provides a visual interface to manage and monitor Docker containers.

  2. Features and Complexity: Docker Swarm is a feature-rich orchestration tool that provides native support for load balancing, service scaling, rolling updates, and rolling deployments. It also offers advanced networking capabilities, including overlay networks. Portainer, on the other hand, focuses on simplicity and ease of use. It provides a user-friendly interface to manage Docker containers and basic functionalities like container creation, starting/stopping containers, and managing volumes and networks.

  3. Ease of Installation and Configuration: Docker Swarm is integrated into Docker itself, which means it is automatically available when Docker is installed. Setting up a Swarm cluster requires configuring the desired number of manager and worker nodes. Portainer, on the other hand, needs to be explicitly installed and configured separately. It can be deployed as a standalone container or a Docker stack, depending on the user's preference.

  4. User Interface: Docker Swarm provides a command-line interface (CLI) for managing and interacting with the swarm cluster. While powerful, the CLI can be less user-friendly for those not comfortable with command-line tools. Portainer, on the other hand, offers a graphical user interface (GUI) that provides an intuitive and easy-to-use interface for managing Docker containers, services, and networks. This can be particularly helpful for less tech-savvy users or those who prefer a visual representation of their Docker environment.

  5. Community and Support: Docker Swarm benefits from being developed and maintained by Docker Inc., which ensures regular updates, bug fixes, and compatibility with new Docker releases. It also has a large community of users and contributors, providing a wealth of resources and support options. Portainer, while also having an active community, is an open-source project that relies on community contributions, which may affect the frequency of updates and support availability.

  6. Integration with Third-party Tools: Docker Swarm has native integration with other Docker tools and technologies like Docker Compose and Docker Registry. It provides seamless support for deploying multi-container applications using Docker Compose YAML files. Portainer also offers integration with Docker Compose, allowing users to create and manage multi-container applications. However, it may not have the same level of integration or native support as Docker Swarm.

In summary, Docker Swarm is a robust native orchestration solution with advanced features and scalability, while Portainer provides a user-friendly interface for managing Docker containers, services, and networks. Docker Swarm is more suitable for complex deployments requiring high availability and fault tolerance, whereas Portainer is an excellent choice for simpler setups and users who prefer a graphical interface for management.

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Advice on Docker Swarm, Portainer

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

Docker Swarm
Docker Swarm
Portainer
Portainer

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.

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.

-
Docker management; Docker UI; Docker cluster management; Swarm visualizer; Authentication; User Access Control; Docker container management; Docker service management; Docker overview; Docker console; Docker swarm status; Docker image management; Docker network management; Docker dashboard; Remote HTTP API; Automation
Statistics
Stacks
779
Stacks
506
Followers
990
Followers
842
Votes
282
Votes
146
Pros & Cons
Pros
  • 55
    Docker friendly
  • 46
    Easy to setup
  • 40
    Standard Docker API
  • 38
    Easy to use
  • 23
    Native
Cons
  • 9
    Low adoption
Pros
  • 36
    Simple
  • 27
    Great UI
  • 19
    Friendly
  • 12
    Easy to setup, gives a practical interface for Docker
  • 11
    Fully featured
Integrations
Docker
Docker
Docker Secrets
Docker Secrets
Auth0
Auth0
Kubernetes
Kubernetes
Docker
Docker

What are some alternatives to Docker Swarm, Portainer?

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.

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.

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.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

Docker Machine

Docker Machine

Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.

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