Overview

Docker Swarm

Stacks796

Followers990

Votes282

Docker Cloud

Stacks78

Followers127

Votes11

Docker Cloud vs Docker Swarm: What are the differences?

Introduction:

Docker Cloud and Docker Swarm are two popular tools used in the world of container orchestration. Despite both being created by Docker, Inc., they have key differences that set them apart.

Management Interface: Docker Cloud offers a graphical user interface that simplifies the management of containers, services, and nodes, making it easier for users to visualize and interact with their infrastructure. On the other hand, Docker Swarm requires users to work with command-line tools for most of the tasks, which may be more suitable for users who prefer working in a terminal environment.
Scalability: Docker Swarm is designed for scalability and can handle large-scale container deployments by distributing workloads across multiple nodes efficiently. On the contrary, Docker Cloud is more limited in terms of scalability, making it better suited for smaller deployments or testing purposes.
Managed Service: Docker Cloud is a fully managed service provided by Docker, Inc., which means that users do not have to worry about the underlying infrastructure or maintenance tasks. Docker Swarm, on the other hand, requires users to set up and manage their own servers, which can be more challenging for users who are not experienced with infrastructure management.
Multi-cloud Support: Docker Swarm is known for its ability to run on multiple cloud providers, allowing users to create a unified container orchestration environment across different cloud platforms. Docker Cloud, however, is more focused on a specific cloud provider, limiting its flexibility in terms of multi-cloud deployments.
Integration with Additional Services: Docker Cloud integrates seamlessly with other cloud services and tools, making it easier for users to build and deploy containerized applications within a cloud ecosystem. Docker Swarm, while versatile, may require more manual configuration and integrations to work with third-party services.
Community Support: Docker Swarm benefits from a strong community of users and contributors, providing a wealth of resources and documentation for troubleshooting and support. Docker Cloud, being a more specialized and managed service, may have fewer community resources available for users seeking assistance or guidance.

In Summary, Docker Cloud and Docker Swarm differ in terms of management interface, scalability, managed service, multi-cloud support, integration with additional services, and community support.

Advice on Docker Swarm, Docker Cloud

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

GitHub

GitHub Pages

Markdown

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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Detailed Comparison

Docker Swarm	Docker Cloud
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.	Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.
-	Simplify Docker Provisioning;Deploy Apps Anywhere;Automate Your Developer Workflows;Manage Apps Anywhere
Statistics
Stacks 796	Stacks 78
Followers 990	Followers 127
Votes 282	Votes 11
Pros & Cons
Pros 55 Docker friendly 46 Easy to setup 40 Standard Docker API 38 Easy to use 23 Native Cons 9 Low adoption	Pros 9 Easy to use 2 Seamless transition from docker compose
Integrations
Docker	Docker

What are some alternatives to Docker Swarm, Docker Cloud?

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 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

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.

Amazon EC2 Container Service

Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.

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

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.

Google Kubernetes Engine

Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

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.

Containerum

Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.