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  1. Stackups
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  5. Docker Swarm vs Fleet

Docker Swarm vs Fleet

OverviewDecisionsComparisonAlternatives

Overview

Docker Swarm
Docker Swarm
Stacks779
Followers990
Votes282
Fleet
Fleet
Stacks13
Followers39
Votes0
GitHub Stars2.4K
Forks301

Docker Swarm vs Fleet: What are the differences?

Introduction

Docker Swarm and Fleet are two container orchestration tools used in managing and scaling containerized applications. While both tools serve the same purpose, there are key differences between them.

  1. Container Management Approach: Docker Swarm is based on the concept of a swarm mode, where a group of nodes works together to form a cluster. It uses a declarative approach to define the desired state of services and handles the scheduling and distribution of containers across the cluster. On the other hand, Fleet is a distributed init system that uses a more imperative approach to launch and manage containers, relying on individual machine units to execute tasks.

  2. Architecture: Docker Swarm uses a hierarchical architecture where a swarm manager controls the cluster and delegates tasks to worker nodes. This manager-worker model ensures scalability and high availability. Fleet, on the other hand, follows a decentralized architecture where each machine or node can operate independently. It uses a peer-to-peer approach for task assignment but lacks the centralized management features of Docker Swarm.

  3. Ease of Use: Docker Swarm provides a built-in command-line interface (CLI) and a graphical user interface (GUI) that make it easy to set up and manage clusters. Its Docker Compose tool allows users to define and manage multi-container applications using a YAML file. Fleet, however, primarily relies on a command-line interface for task management, which requires a deeper understanding of configuration settings and scripting.

  4. Features and Scalability: Docker Swarm offers a more extensive feature set, including service discovery, rolling updates, load balancing, and health checks. It supports scaling applications both horizontally and vertically, making it suitable for large-scale deployments. Fleet, on the other hand, has a more limited set of features and does not natively support advanced scaling mechanisms. It is primarily designed for smaller deployments and simpler application architectures.

  5. Integration with Docker ecosystem: Docker Swarm is deeply integrated with the Docker ecosystem, allowing users to seamlessly leverage existing Docker tools and solutions. It can be integrated with Docker Registry for image management and Docker Networking for container networking. Fleet, while providing basic container management capabilities, does not offer the same level of integration with the broader Docker ecosystem.

  6. Community and Support: Docker Swarm benefits from a large and active community that contributes to its development and provides support through forums, documentation, and tutorials. It also benefits from the backing and support of Docker Inc., the company behind Docker. Fleet, on the other hand, has a smaller community and fewer available resources for support and troubleshooting.

In summary, Docker Swarm and Fleet differ in their container management approach, architecture, ease of use, features and scalability, integration with the Docker ecosystem, and community support.

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Advice on Docker Swarm, Fleet

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
Fleet
Fleet

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.

Fleet is a low-level cluster engine that feels like a distributed init system. With fleet, you can treat your CoreOS cluster as if it shared a single init system.

-
Deploy docker containers on arbitrary hosts in a cluster;Distribute services across a cluster using machine-level anti-affinity;Maintain N instances of a service, re-scheduling on machine failure;Discover machines running in the cluster;Automatically SSH into the machine running a job
Statistics
GitHub Stars
-
GitHub Stars
2.4K
GitHub Forks
-
GitHub Forks
301
Stacks
779
Stacks
13
Followers
990
Followers
39
Votes
282
Votes
0
Pros & Cons
Pros
  • 55
    Docker friendly
  • 46
    Easy to setup
  • 40
    Standard Docker API
  • 38
    Easy to use
  • 23
    Native
Cons
  • 9
    Low adoption
No community feedback yet
Integrations
Docker
Docker
No integrations available

What are some alternatives to Docker Swarm, Fleet?

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.

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

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