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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Container Factory vs Docker Compose vs Docker Swarm

Container Factory vs Docker Compose vs Docker Swarm

OverviewDecisionsComparisonAlternatives

Overview

Container Factory
Container Factory
Stacks0
Followers8
Votes0
Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K
Docker Swarm
Docker Swarm
Stacks779
Followers990
Votes282

Container Factory vs Docker Compose vs Docker Swarm: What are the differences?

Introduction:

When it comes to containerization and managing containers, understanding the key differences between Container Factory, Docker Compose, and Docker Swarm is essential. Each tool serves its purpose in container orchestration and management, with unique features and functionalities tailored to different use cases.

1. Container Factory vs Docker Compose:

Container Factory is a tool that facilitates the creation of docker containers in an automated and efficient manner, integrating seamlessly with CI/CD pipelines. On the other hand, Docker Compose is a tool specifically designed for defining and running multi-container Docker applications. While Container Factory specializes in container creation, Docker Compose focuses on application composition and orchestration.

2. Container Factory vs Docker Swarm:

In contrast, Container Factory is more centered around container building processes, while Docker Swarm is a container orchestration tool that allows clustering multiple Docker hosts to manage containers at scale. Container Factory streamlines the container creation phase, whereas Docker Swarm excels in managing containerized applications across a cluster of machines.

3. Docker Compose vs Docker Swarm:

Docker Compose is primarily used in local development environments or single-host setups, offering a simple way to define and run multi-container applications. On the other hand, Docker Swarm is geared towards production environments, providing features like service scaling, rolling updates, and built-in load balancing for managing containers across multiple nodes in a cluster.

4. Container Factory focuses on automation, Docker Compose on application composition, and Docker Swarm on orchestration.

While Container Factory automates the container creation process, Docker Compose simplifies the management of multi-container applications, and Docker Swarm excels in orchestrating containers at scale. Each tool caters to distinct aspects of containerization, offering unique functionalities to streamline container management tasks.

5. Docker Compose is suited for development, Container Factory for automated container creation, and Docker Swarm for production-scale container orchestration.

In summary, understanding the key differences between Container Factory, Docker Compose, and Docker Swarm is crucial for effectively managing containers, orchestrating applications, and scaling containerized environments based on specific needs and use cases.

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Advice on Container Factory, Docker Compose, 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
Michael
Michael

CEO at asencis Ltd

Jan 5, 2021

Needs advice

We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.

272k views272k
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

Container Factory
Container Factory
Docker Compose
Docker Compose
Docker Swarm
Docker Swarm

container-factory produces Docker images from tarballs of application source code. It accepts archives with Dockerfiles, but if your application's language is supported, it can automatically add a suitable Dockerfile.

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.

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.

Statistics
GitHub Stars
-
GitHub Stars
36.4K
GitHub Stars
-
GitHub Forks
-
GitHub Forks
5.5K
GitHub Forks
-
Stacks
0
Stacks
22.3K
Stacks
779
Followers
8
Followers
16.5K
Followers
990
Votes
0
Votes
501
Votes
282
Pros & Cons
No community feedback yet
Pros
  • 123
    Multi-container descriptor
  • 110
    Fast development environment setup
  • 79
    Easy linking of containers
  • 68
    Simple yaml configuration
  • 60
    Easy setup
Cons
  • 9
    Tied to single machine
  • 5
    Still very volatile, changing syntax often
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
Docker
Docker
Docker
Docker

What are some alternatives to Container Factory, Docker Compose, 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.

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

Docker Machine

Docker Machine

Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.

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