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Docker Swarm

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Docker Swarm vs LXD: What are the differences?

## Introduction
Docker Swarm and LXD are both containerization technologies that serve different purposes and have distinct features. Understanding the key differences between Docker Swarm and LXD is crucial for choosing the right tool for container management.

1. **Orchestration vs Hypervisor**: Docker Swarm is primarily an orchestration tool used to manage multiple Docker containers across a cluster of machines, providing automation and scalability for containerized applications. In contrast, LXD is a hypervisor that offers lightweight, full system virtualization, similar to traditional virtual machines but with higher efficiency and performance.

2. **Containerization vs Virtualization**: Docker Swarm focuses on containerization, where applications and their dependencies are packaged into containers that share the host OS kernel, leading to lightweight and portable deployments. On the other hand, LXD emphasizes virtualization, allowing running multiple isolated Linux systems on a single host, providing stronger isolation between workloads.

3. **Use Cases**: Docker Swarm is suitable for deploying and managing complex applications that require orchestration, scalability, and high availability, making it ideal for microservices architectures and cloud-native applications. LXD, on the other hand, is more suited for scenarios where strict isolation and performance are critical, such as in-edge computing, development environments, and testing setups.

4. **Resource Overhead**: Docker Swarm typically has a lower resource overhead compared to LXD because of its lightweight nature and shared kernel approach. LXD, being a hypervisor, incurs more resource overhead as it runs multiple virtualized instances with separate kernels, resulting in a slight performance impact.

5. **Ecosystem Integration**: Docker Swarm is deeply integrated with the Docker ecosystem, allowing seamless interaction with existing Docker tools, registries, and images, simplifying deployment and management processes. LXD, while still compatible with Docker images, has a more standalone nature and is closely aligned with the LXC (Linux Containers) ecosystem.

6. **Networking Capabilities**: Docker Swarm provides built-in networking capabilities through Docker's networking plugins, allowing easy configuration of network connections between containers and services within the Swarm cluster. LXD, on the other hand, relies on standard Linux networking features and tools, offering more manual control and flexibility in setting up networking configurations for virtual instances.

In Summary, understanding the differences between Docker Swarm and LXD is essential for selecting the appropriate containerization or virtualization solution based on specific requirements such as orchestration needs, resource utilization, use cases, ecosystem compatibility, and networking preferences.
Decisions about Docker Swarm and LXD
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 12.2M 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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Florian Sager
IT DevOp at Agitos GmbH · | 3 upvotes · 468.4K views
Chose
LXDLXD
over
DockerDocker

lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. the limited single-process container approach of Docker is the main reason I chose lxd over Docker.

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Pros of Docker Swarm
Pros of LXD
  • 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
  • 10
    More simple
  • 8
    Open Source
  • 8
    API
  • 8
    Best
  • 7
    Cluster
  • 5
    Multiprocess isolation (not single)
  • 5
    Fast
  • 5
    I like the goal of the LXD and found it to work great
  • 4
    Full OS isolation
  • 3
    Container
  • 3
    More stateful than docker
  • 2
    Systemctl compatibility

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Cons of Docker Swarm
Cons of LXD
  • 9
    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 LXD?

    LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.

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    What companies use Docker Swarm?
    What companies use LXD?
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    What tools integrate with Docker Swarm?
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    What are some alternatives to Docker Swarm and LXD?
    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