Docker Swarm聽vs聽Fleet

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Docker Swarm

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Fleet

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Docker Swarm vs Fleet: What are the differences?

Developers describe Docker Swarm as "Native clustering for Docker. Turn a pool of Docker hosts into a single, virtual host". 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. On the other hand, Fleet is detailed as "Container management and deployment for your cluster". 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.

Docker Swarm and Fleet can be categorized as "Container" tools.

Docker Swarm and Fleet are both open source tools. It seems that Docker Swarm with 5.63K GitHub stars and 1.11K forks on GitHub has more adoption than Fleet with 2.45K GitHub stars and 309 GitHub forks.

Advice on Docker Swarm and Fleet

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?

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Replies (1)
Mortie Torabi
Recommends
Docker Swarm

If you just want the basic orchestration between a set of defined hosts, go with Docker Swarm. If you want more advanced orchestration + flexibility in terms of resource management and load balancing go with Kubernetes. In both cases, you can make it even more complex while making the whole architecture more understandable and replicable by using Terraform.

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Decisions about Docker Swarm and Fleet
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH | 28 upvotes 路 3M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis 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.
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Pros of Docker Swarm
Pros of Fleet
  • 54
    Docker friendly
  • 45
    Easy to setup
  • 39
    Standard Docker API
  • 37
    Easy to use
  • 22
    Native
  • 21
    Free
  • 12
    Clustering made easy
  • 11
    Simple usage
  • 10
    Integral part of docker
  • 5
    Cross Platform
  • 4
    Labels and annotations
  • 3
    Performance
  • 2
    Shallow learning curve
  • 2
    Easy Networking
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    Cons of Docker Swarm
    Cons of Fleet
    • 7
      Low adoption
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      What is 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.

      What is Fleet?

      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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Docker Swarm?
      What companies use Fleet?
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      What tools integrate with Docker Swarm?
      What tools integrate with Fleet?

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      What are some alternatives to Docker Swarm and Fleet?
      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.
      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.
      Ansible
      Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible鈥檚 goals are foremost those of simplicity and maximum ease of use.
      Apache Mesos
      Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.
      CoreOS
      It is designed for security, consistency, and reliability. Instead of installing packages via yum or apt, it uses Linux containers to manage your services at a higher level of abstraction. A single service's code and all dependencies are packaged within a container that can be run on one or many machines.
      See all alternatives