Cloud9 IDE vs Docker Swarm

Overview

AWS Cloud9

Stacks522

Followers714

Votes673

Docker Swarm

Stacks779

Followers990

Votes282

Cloud9 IDE vs Docker Swarm: What are the differences?

Cloud9 IDE: Your development environment, in the cloud. Cloud9 provides a development environment in the cloud. Cloud9 enables developers to get started with coding immediately with pre-setup environments called workspaces, collaborate with their peers with collaborative coding features, and build web apps with features like live preview and browser compatibility testing. It supports more than 40 languages, with class A support for PHP, Ruby, Python, JavaScript/Node.js, and Go; Docker Swarm: Native clustering for Docker. Turn a pool of Docker hosts into a single, virtual host. 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.

Cloud9 IDE and Docker Swarm are primarily classified as "Cloud IDE" and "Container" tools respectively.

"Easy to use" is the primary reason why developers consider Cloud9 IDE over the competitors, whereas "Docker friendly" was stated as the key factor in picking Docker Swarm.

Docker Swarm is an open source tool with 5.63K GitHub stars and 1.11K GitHub forks. Here's a link to Docker Swarm's open source repository on GitHub.

Docker, Bugsnag, and Hammerhead are some of the popular companies that use Docker Swarm, whereas Cloud9 IDE is used by LinkedIn, Heroku, and Salesforce. Docker Swarm has a broader approval, being mentioned in 82 company stacks & 38 developers stacks; compared to Cloud9 IDE, which is listed in 29 company stacks and 40 developer stacks.

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Advice on AWS Cloud9, Docker Swarm

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

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Markdown

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.

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Detailed Comparison

AWS Cloud9	Docker Swarm
Cloud9 provides a development environment in the cloud. Cloud9 enables developers to get started with coding immediately with pre-setup environments called workspaces, collaborate with their peers with collaborative coding features, and build web apps with features like live preview and browser compatibility testing. It supports more than 40 languages, with class A support for PHP, Ruby, Python, JavaScript/Node.js, and Go.	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.
Real-time collaboration and chat;Connect via SSH and FTP;Code Completion (suggestions);Highlighting and syntax hints;Goto File- fast file access;Adaptive Themes- chnage themes and skin;Code Folding- folding arrows allow you to collapse code;Multiple cursors- add a cursor to the rows above and below the current line;Focus- Every part of the Cloud9 UI can be collapsed or hidden entirely, so you get the maximum space to focus on your code. And for the truly exceptional among us, there’s zen mode, where the editor floats above the IDE to fill 100% of the browser.;Drag & Drop- The project tree scrolls, highlights and expands folders automatically for the most natural drag n drop experience.;Command-Line- command-line is your shortcut to a ton of useful features, like "mkdir", "npm", "git" and "zen";Git and Mercurial support;Seamless Node.js Integration	-
Statistics
Stacks 522	Stacks 779
Followers 714	Followers 990
Votes 673	Votes 282
Pros & Cons
Pros 108 Easy to use 102 Free 76 Nice UI 65 Terminal access to vm instead of simulation 58 New full ubuntu machines Cons 6 Not free	Pros 55 Docker friendly 46 Easy to setup 40 Standard Docker API 38 Easy to use 23 Native Cons 9 Low adoption
Integrations
Heroku GitHub Bitbucket Red Hat OpenShift Microsoft Azure	Docker

What are some alternatives to AWS Cloud9, Docker Swarm?

Red Hat Codeready Workspaces

Built on the open Eclipse Che project, Red Hat CodeReady Workspaces provides developer workspaces, which include all the tools and the dependencies that are needed to code, build, test, run, and debug applications.

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.

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.

Koding

Koding is a feature rich cloud-based development environment complete with free VMs, an attractive IDE & sudo level terminal access!

Nitrous.IO

Get setup lightning fast in the cloud & code from anywhere, on any machine.

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.

Codeanywhere

A development platform that enables you to not only edit your files from underlying services like FTP, GitHub, Dropbox and the like, but on top of that gives you the ability to collaborate, embed and share through Codeanywhere on any device.

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.

Related Comparisons

@{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.

Cloud9 IDE vs Docker Swarm