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Swarm Classic: a container clustering system. Not to be confused with Docker Swarm which is at https://github.com/docker/swarmkit

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A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

Swarm Classic: a container clustering system. Not to be confused with Docker Swarm which is at https://github.com/docker/swarmkit

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Production-Grade Container Scheduling and Management

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Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.

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Apache Mesos

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Complete container management platform

Quick Overview

Docker Swarm (classic) is a native clustering system for Docker. It turns a pool of Docker hosts into a single, virtual host, allowing you to deploy and manage containerized applications across multiple machines. This project represents the original version of Docker Swarm, which has since been superseded by Swarm mode in Docker Engine.

Pros

  • Simple and easy to set up for basic clustering needs
  • Native integration with Docker ecosystem
  • Supports standard Docker API, making it compatible with existing Docker tools
  • Lightweight and doesn't require additional components for basic functionality

Cons

  • Limited scalability compared to more modern orchestration solutions
  • Lacks advanced features found in newer container orchestration platforms
  • No longer actively developed or maintained
  • May not be suitable for complex, large-scale deployments

Getting Started

To get started with Docker Swarm (classic), follow these steps:

  1. Install Docker on all nodes you want to use in your Swarm cluster.
  2. On the manager node, initialize the Swarm:
docker swarm init --advertise-addr <MANAGER-IP>
  1. Join worker nodes to the Swarm using the token provided by the manager:
docker swarm join --token <TOKEN> <MANAGER-IP>:2377
  1. Deploy services to your Swarm:
docker service create --replicas 3 --name my-web-service nginx
  1. Scale services as needed:
docker service scale my-web-service=5

Note: As Docker Swarm (classic) is no longer actively maintained, it's recommended to use the built-in Swarm mode in modern Docker versions or consider other container orchestration platforms for production environments.

Competitor Comparisons

A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

Pros of SwarmKit

  • More advanced orchestration features, including rolling updates and service discovery
  • Better scalability and performance for large-scale deployments
  • Integrated with Docker Engine, providing a more seamless experience

Cons of SwarmKit

  • Steeper learning curve due to increased complexity
  • Requires newer versions of Docker, potentially limiting compatibility with older systems

Code Comparison

SwarmKit example (service creation):

version: '3'
services:
  web:
    image: nginx
    deploy:
      replicas: 5
      update_config:
        parallelism: 2
        order: rolling-update

ClassicSwarm example (service creation):

web:
  image: nginx
  scale: 5

SwarmKit offers more advanced deployment options and configuration, while ClassicSwarm provides a simpler syntax for basic scaling. SwarmKit's approach allows for finer control over service deployment and updates, reflecting its more sophisticated orchestration capabilities.

Both projects aim to provide container orchestration solutions, but SwarmKit represents a more modern and feature-rich approach integrated directly into Docker Engine. ClassicSwarm, while simpler, lacks some of the advanced features and scalability offered by SwarmKit, making it less suitable for complex, large-scale deployments.

Swarm Classic: a container clustering system. Not to be confused with Docker Swarm which is at https://github.com/docker/swarmkit

Pros of classicswarm

  • Lightweight and easy to set up for simple Docker orchestration
  • Provides basic clustering and scheduling capabilities
  • Suitable for small to medium-sized deployments

Cons of classicswarm

  • Limited scalability compared to more modern orchestration solutions
  • Lacks advanced features like rolling updates and service discovery
  • No longer actively maintained or developed

Code Comparison

classicswarm:

func (s *Scheduler) SelectNodeForContainer(config *cluster.ContainerConfig) (*node.Node, error) {
    candidates := s.strategy.Select(s.cluster, config)
    if len(candidates) == 0 {
        return nil, errors.New("no nodes available in the cluster")
    }
    return candidates[0], nil
}

Note: As both repositories mentioned in the prompt are the same (docker-archive/classicswarm), there is no actual code comparison to be made. The code snippet provided is an example from the classicswarm project.

Additional Notes

classicswarm is an archived project that was part of Docker's early container orchestration efforts. It has been superseded by more advanced solutions like Docker Swarm mode (integrated into Docker Engine) and Kubernetes. While it served its purpose in the past, it's no longer recommended for production use due to its limitations and lack of ongoing development.

109,710

Production-Grade Container Scheduling and Management

Pros of Kubernetes

  • More robust and feature-rich orchestration platform
  • Larger ecosystem and community support
  • Better scalability for complex, multi-container applications

Cons of Kubernetes

  • Steeper learning curve and more complex setup
  • Higher resource overhead for smaller deployments
  • Potentially overkill for simple applications

Code Comparison

Kubernetes deployment example:

apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80

Docker Swarm service example:

version: '3'
services:
  web:
    image: nginx:1.14.2
    deploy:
      replicas: 3
    ports:
      - "80:80"

Kubernetes offers more granular control and flexibility in defining deployments, while Docker Swarm provides a simpler syntax for basic orchestration tasks. Kubernetes excels in managing complex, distributed applications, whereas Docker Swarm is more suitable for simpler deployments and easier to get started with for Docker users.

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Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.

Pros of Nomad

  • More flexible scheduling, supporting both containerized and non-containerized workloads
  • Better scalability, capable of managing larger clusters efficiently
  • Integrates well with other HashiCorp products like Consul and Vault

Cons of Nomad

  • Steeper learning curve compared to Classic Swarm's simplicity
  • Requires additional setup and configuration for advanced features
  • Less native Docker integration than Classic Swarm

Code Comparison

Classic Swarm example:

version: '3'
services:
  web:
    image: nginx
    deploy:
      replicas: 5

Nomad example:

job "webserver" {
  datacenters = ["dc1"]
  type = "service"
  group "web" {
    count = 5
    task "nginx" {
      driver = "docker"
      config {
        image = "nginx"
      }
    }
  }
}

Both examples deploy 5 instances of an Nginx web server, but Nomad's configuration is more verbose and offers finer-grained control over job placement and resource allocation.

5,233

Apache Mesos

Pros of Mesos

  • More flexible and scalable, supporting diverse workloads beyond containers
  • Advanced resource allocation and scheduling capabilities
  • Stronger support for big data frameworks like Hadoop and Spark

Cons of Mesos

  • Steeper learning curve and more complex setup
  • Less native Docker integration compared to Classic Swarm
  • Requires more resources to run effectively

Code Comparison

Mesos task definition:

{
  "id": "my-task",
  "cmd": "echo hello",
  "mem": 128,
  "cpus": 0.1
}

Classic Swarm service definition:

version: '3'
services:
  my-service:
    image: nginx
    deploy:
      replicas: 3

Key Differences

  • Mesos offers a more comprehensive cluster management solution, while Classic Swarm focuses primarily on Docker container orchestration
  • Mesos provides finer-grained resource allocation and scheduling, whereas Classic Swarm offers simpler container-centric management
  • Mesos supports a wider range of workloads and frameworks, but Classic Swarm integrates more seamlessly with the Docker ecosystem

Use Cases

  • Mesos: Large-scale, heterogeneous clusters with diverse workloads
  • Classic Swarm: Smaller to medium-sized Docker-centric deployments with simpler orchestration needs
23,209

Complete container management platform

Pros of Rancher

  • More comprehensive container management platform with a user-friendly UI
  • Supports multiple orchestration engines (Kubernetes, Swarm, Mesos)
  • Active development and regular updates

Cons of Rancher

  • Higher resource requirements for deployment
  • Steeper learning curve due to more features and complexity

Code Comparison

Rancher (using Kubernetes manifest):

apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.14.2
        ports:
        - containerPort: 80

Classic Swarm (using Docker Compose):

version: '3'
services:
  web:
    image: nginx:1.14.2
    deploy:
      replicas: 3
    ports:
      - "80:80"

Key Differences

  • Rancher offers a more feature-rich environment for container orchestration
  • Classic Swarm provides a simpler, Docker-native approach to clustering
  • Rancher supports multiple cloud providers and on-premises deployments
  • Classic Swarm is more lightweight and easier to set up for small-scale projects

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README

Classic Swarm: a Docker-native clustering system

Classic Swarm has been archived and is no longer actively developed. You may want to use the Swarm mode built into the Docker Engine instead, or another orchestration system.

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Docker Swarm Logo

Docker Swarm "Classic" is native clustering for Docker. It turns a pool of Docker hosts into a single, virtual host.

Swarm Disambiguation

Docker Swarm "Classic" standalone: This project. A native clustering system for Docker. It turns a pool of Docker hosts into a single, virtual host using an API proxy system. See Docker Swarm overview. It was Docker's first container orchestration project that began in 2014.

Swarmkit: Cluster management and orchestration features in Docker Engine 1.12 or later. When Swarmkit is enabled we call Docker Engine running in swarm mode. See the feature list: Swarm mode overview. This project focuses on micro-service architecture. It supports service reconciliation, load balancing, service discovery, built-in certificate rotation, etc.

Copyright and license

Copyright © 2014-2018 Docker, Inc. All rights reserved, except as follows. Code is released under the Apache 2.0 license. The README.md file, and files in the "docs" folder are licensed under the Creative Commons Attribution-ShareAlike 4.0 International License under the terms and conditions set forth in the file "LICENSE.docs". You may obtain a duplicate copy of the same license, titled CC-BY-SA-4.0, at https://creativecommons.org/licenses/by-sa/4.0/.