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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Cloud IDE
  5. Cloud9 IDE vs Terraform

Cloud9 IDE vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

AWS Cloud9
AWS Cloud9
Stacks522
Followers714
Votes673
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

Cloud9 IDE vs Terraform: What are the differences?

Key Differences between Cloud9 IDE and Terraform

Cloud9 IDE and Terraform are both powerful tools used in the field of software development and infrastructure management. While they serve different purposes, they have distinct features that set them apart from each other. The key differences between Cloud9 IDE and Terraform are as follows:

  1. Purpose: Cloud9 IDE is an integrated development environment (IDE) that provides developers with a cloud-based platform for coding, testing, and debugging their applications. On the other hand, Terraform is an infrastructure as code (IaC) tool used for provisioning and managing infrastructure resources in a declarative manner.

  2. Workflow: Cloud9 IDE offers a complete development environment in the cloud, allowing developers to work on their applications from anywhere with an internet connection. It provides features like collaborative editing, built-in terminals, and seamless integration with other AWS services. Terraform, on the other hand, follows a workflow where infrastructure is defined in configuration files and then deployed to cloud providers using Terraform commands.

  3. Scope: Cloud9 IDE primarily focuses on providing a platform for software development, offering features like code editor, debugger, and collaboration tools. It is designed to empower developers to write, test, and deploy code efficiently. Terraform, on the other hand, is designed for infrastructure management and provisioning resources across different cloud providers. It enables the automation of infrastructure tasks and provides a standard method for managing infrastructure as code.

  4. Flexibility: Cloud9 IDE is cloud-based and provides a managed development environment, meaning that developers have limited control over the underlying infrastructure. They can choose from pre-configured development environments but have no control over the infrastructure provisioning. Terraform, on the other hand, offers more flexibility as it allows you to define, customize, and manage infrastructure resources according to your specific requirements. It supports various cloud providers and offers a wide range of resource types.

  5. Learning Curve: Cloud9 IDE is relatively easy to start with, especially for developers who are already familiar with popular IDEs. It provides a familiar development environment with a user-friendly interface. Terraform, on the other hand, has a steeper learning curve as it requires understanding of infrastructure concepts, configuration files, and the Terraform syntax. It requires knowledge of declarative programming and the ability to define resources and their relationships.

  6. Integration with Cloud Providers: Cloud9 IDE is tightly integrated with the AWS ecosystem and provides seamless integration with other AWS services, enabling developers to easily deploy and test their applications on AWS. Terraform, on the other hand, supports multiple cloud providers, including AWS, Azure, and Google Cloud Platform. It provides a consistent interface for provisioning and managing resources across different cloud environments.

In Summary, Cloud9 IDE is a cloud-based integrated development environment aimed at optimizing software development workflows, while Terraform is an infrastructure as code tool designed for provisioning and managing infrastructure resources in a declarative manner across multiple cloud providers.

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Advice on AWS Cloud9, Terraform

Sung Won
Sung Won

Nov 4, 2019

DecidedonGoogle Cloud IoT CoreGoogle Cloud IoT CoreTerraformTerraformPythonPython

Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

Check Out My Architecture: CLICK ME

Check out the GitHub repo attached

2.25M views2.25M
Comments
Timothy
Timothy

SRE

Mar 20, 2020

Decided

I personally am not a huge fan of vendor lock in for multiple reasons:

  • I've seen cost saving moves to the cloud end up costing a fortune and trapping companies due to over utilization of cloud specific features.
  • I've seen S3 failures nearly take down half the internet.
  • I've seen companies get stuck in the cloud because they aren't built cloud agnostic.

I choose to use terraform for my cloud provisioning for these reasons:

  • It's cloud agnostic so I can use it no matter where I am.
  • It isn't difficult to use and uses a relatively easy to read language.
  • It tests infrastructure before running it, and enables me to see and keep changes up to date.
  • It runs from the same CLI I do most of my CM work from.
385k views385k
Comments
Daniel
Daniel

May 4, 2020

Decided

Because Pulumi uses real programming languages, you can actually write abstractions for your infrastructure code, which is incredibly empowering. You still 'describe' your desired state, but by having a programming language at your fingers, you can factor out patterns, and package it up for easier consumption.

426k views426k
Comments

Detailed Comparison

AWS Cloud9
AWS Cloud9
Terraform
Terraform

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.

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

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
Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used.;Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure.;Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure.;Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors
Statistics
GitHub Stars
-
GitHub Stars
47.0K
GitHub Forks
-
GitHub Forks
10.1K
Stacks
522
Stacks
22.9K
Followers
714
Followers
14.7K
Votes
673
Votes
344
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
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Integrations
Heroku
Heroku
GitHub
GitHub
Bitbucket
Bitbucket
Red Hat OpenShift
Red Hat OpenShift
Microsoft Azure
Microsoft Azure
Heroku
Heroku
Amazon EC2
Amazon EC2
CloudFlare
CloudFlare
DNSimple
DNSimple
Microsoft Azure
Microsoft Azure
Consul
Consul
Equinix Metal
Equinix Metal
DigitalOcean
DigitalOcean
OpenStack
OpenStack
Google Compute Engine
Google Compute Engine

What are some alternatives to AWS Cloud9, Terraform?

Ansible

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.

Red Hat Codeready Workspaces

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.

Chef

Chef

Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.

Capistrano

Capistrano

Capistrano is a remote server automation tool. It supports the scripting and execution of arbitrary tasks, and includes a set of sane-default deployment workflows.

Puppet Labs

Puppet Labs

Puppet is an automated administrative engine for your Linux, Unix, and Windows systems and performs administrative tasks (such as adding users, installing packages, and updating server configurations) based on a centralized specification.

Koding

Koding

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

Salt

Salt

Salt is a new approach to infrastructure management. Easy enough to get running in minutes, scalable enough to manage tens of thousands of servers, and fast enough to communicate with them in seconds. Salt delivers a dynamic communication bus for infrastructures that can be used for orchestration, remote execution, configuration management and much more.

Nitrous.IO

Nitrous.IO

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

Codeanywhere

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.

Fabric

Fabric

Fabric is a Python (2.5-2.7) library and command-line tool for streamlining the use of SSH for application deployment or systems administration tasks. It provides a basic suite of operations for executing local or remote shell commands (normally or via sudo) and uploading/downloading files, as well as auxiliary functionality such as prompting the running user for input, or aborting execution.

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