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  5. Docker Swarm vs Weave

Docker Swarm vs Weave

OverviewDecisionsComparisonAlternatives

Overview

Weave
Weave
Stacks50
Followers72
Votes7
Docker Swarm
Docker Swarm
Stacks779
Followers990
Votes282

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.

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Advice on Weave, Docker Swarm

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

Weave
Weave
Docker Swarm
Docker Swarm

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.

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.

Virtual Ethernet Switch;Application isolation;Security;Host network integration;Service export;Service import;Multi-cloud networking;Multi-hop routing;Dynamic topologies;Container mobility;Fault tolerance
-
Statistics
Stacks
50
Stacks
779
Followers
72
Followers
990
Votes
7
Votes
282
Pros & Cons
Pros
  • 3
    Easy setup
  • 3
    Seamlessly with mesos/marathon
  • 1
    Seamless integration with application layer
Pros
  • 55
    Docker friendly
  • 46
    Easy to setup
  • 40
    Standard Docker API
  • 38
    Easy to use
  • 23
    Native
Cons
  • 9
    Low adoption
Integrations
Docker
Docker
boot2docker
boot2docker
Docker
Docker

What are some alternatives to Weave, Docker Swarm?

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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