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Docker Swarm vs Weave: What are the differences?

Introduction: Docker Swarm and Weave are both container orchestration tools used to manage and deploy Docker containers in a distributed environment. While they share some similarities, they also have key differences that set them apart. In this article, we will explore these differences in detail.

  1. Scalability and Performance: Docker Swarm is a native solution provided by Docker itself, allowing for easy integration with the Docker ecosystem. It provides excellent scalability and performance for container deployments, thanks to its direct integration with Docker Engine. On the other hand, Weave provides advanced networking capabilities and overlays on top of Docker, offering fine-grained control over network traffic. This additional layer can introduce some overhead and potentially impact performance.

  2. Networking Options: Docker Swarm uses its built-in overlay network driver to enable container communication across different hosts in a Swarm cluster. It provides a simple and straightforward networking solution without any external dependencies. In contrast, Weave leverages its own networking plugin, providing a decentralized and highly customizable networking solution. Weave creates a virtual network that connects containers across different hosts using an encrypted mesh network.

  3. Container Discovery: Docker Swarm relies on its built-in DNS-based service discovery mechanism to enable container discovery within a swarm. It allows containers to find and communicate with each other using their service names. Weave, on the other hand, uses a decentralized and peer-to-peer discovery mechanism. It automatically discovers and registers containers within the Weave network, enabling seamless communication between them.

  4. Load Balancing: Docker Swarm provides built-in load balancing capabilities by distributing incoming requests across the available containers using a round-robin algorithm. It ensures that the workload is evenly distributed, optimizing resource utilization. Weave, however, does not provide built-in load balancing functionality. It relies on external load balancers or custom solutions to distribute traffic among containers.

  5. Integration with Other Tools: Docker Swarm offers seamless integration with other Docker tools and services such as Docker Compose and Docker Registry. It allows for easy management and deployment of containers using familiar Docker commands and configurations. Weave, although compatible with Docker, operates independently and provides additional features like multicast and encryption that are not available in Docker Swarm.

  6. Ease of Use and Learning Curve: Docker Swarm has a relatively low learning curve, especially for users already familiar with Docker. It leverages existing Docker concepts and syntax, making it easy to adopt and use. Weave, on the other hand, introduces additional concepts and does have a steeper learning curve compared to Docker Swarm. Its advanced networking features and decentralized architecture may require some additional effort to understand and configure.

In summary, Docker Swarm and Weave have differences in scalability, networking options, container discovery, load balancing, integration with other tools, and ease of use. While Docker Swarm offers seamless integration with the Docker ecosystem and provides a straightforward networking solution, Weave stands out with its advanced networking capabilities and decentralized architecture. Hence, the choice between Docker Swarm and Weave would depend on the specific requirements and preferences of the users.

Advice on Docker Swarm and Weave

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
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Docker SwarmDocker 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 Weave
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 10.1M 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 Weave
  • 55
    Docker friendly
  • 46
    Easy to setup
  • 40
    Standard Docker API
  • 38
    Easy to use
  • 23
    Native
  • 22
    Free
  • 13
    Clustering made easy
  • 12
    Simple usage
  • 11
    Integral part of docker
  • 6
    Cross Platform
  • 5
    Labels and annotations
  • 5
    Performance
  • 3
    Easy Networking
  • 3
    Shallow learning curve
  • 3
    Easy setup
  • 3
    Seamlessly with mesos/marathon
  • 1
    Seamless integration with application layer

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Cons of Docker Swarm
Cons of Weave
  • 9
    Low adoption
    Be the first to leave a con

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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 Weave?

    Weave can traverse firewalls and operate in partially connected networks. Traffic can be encrypted, allowing hosts to be connected across an untrusted network. With weave you can easily construct applications consisting of multiple containers, running anywhere.

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    What companies use Docker Swarm?
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    What are some alternatives to Docker Swarm and Weave?
    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’s 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