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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Server Configuration And Automation
  5. Eclipse Che vs Terraform

Eclipse Che vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K
Eclipse Che
Eclipse Che
Stacks58
Followers148
Votes28

Eclipse Che vs Terraform: What are the differences?

Introduction:

Eclipse Che and Terraform are both popular tools in the software development and infrastructure management realms. However, there are key differences between the two that make them suitable for different purposes.

  1. Infrastructure Provisioning vs. Integrated Development Environment (IDE): Terraform is primarily focused on infrastructure provisioning and management, allowing users to define their infrastructure as code and automate the deployment process. On the other hand, Eclipse Che is an integrated development environment (IDE) that provides developers with a cloud-native workspace where they can collaborate, code, build, and test their applications.

  2. Support for Multi-Cloud vs. Focus on Development Workflow: Terraform is known for its support for multi-cloud environments, allowing users to provision and manage infrastructure across various cloud providers like AWS, Azure, and Google Cloud. In contrast, Eclipse Che is more focused on improving the development workflow by providing features like collaborative coding, debugging, and unit testing within a unified workspace.

  3. Language Support and Extensibility: Terraform uses HashiCorp Configuration Language (HCL) to define infrastructure as code, enabling users to specify configurations in a concise and readable format. Eclipse Che, on the other hand, supports a wide range of programming languages and allows developers to extend its functionality through plugins and custom extensions, enhancing the overall development experience.

  4. Community and Ecosystem: Terraform has a vibrant community and a large ecosystem of plugins and modules that offer pre-built solutions for deploying various infrastructure components. Eclipse Che, while also having a supportive community, mainly focuses on providing a modern and scalable development environment for teams working on cloud-native applications.

  5. Scalability and Performance: Terraform is well-suited for managing large-scale deployments and complex infrastructure configurations, offering robust scalability and performance optimization features. Eclipse Che, on the other hand, is designed to provide a lightweight and flexible IDE for developers working on projects of various sizes, with a focus on optimizing collaboration and productivity.

  6. Cost Implications: Terraform's usage typically incurs cloud provider costs for the resources provisioned through its infrastructure definitions. In comparison, Eclipse Che offers a free and open-source workspace solution, reducing the overall cost of setting up development environments for teams and individuals.

In Summary, Eclipse Che and Terraform serve different purposes, with Eclipse Che focusing on providing a collaborative development environment, while Terraform excels in infrastructure provisioning and management across multi-cloud environments.

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Advice on Terraform, Eclipse Che

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
Tan
Tan

Apr 24, 2020

Needs adviceonPythonPythonAnacondaAnacondaJavaJava

I am going to learn machine learning and self host an online IDE, the tool that i may use is Python, Anaconda, various python library and etc. which tools should i go for? this may include Java development, web development. Now i have 1 more candidate which are visual studio code online (code server). i will host on google cloud

297k views297k
Comments

Detailed Comparison

Terraform
Terraform
Eclipse Che
Eclipse Che

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.

Eclipse Che makes Kubernetes development accessible for developer teams, providing one-click developer workspaces and eliminating local environment configuration for your entire team.

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
Universal Workspace; Docker Machines; Workspace Agents; Workspace Snapshots; Collaborative Workspaces; RESTful Workspaces; SSH / Terminal; Cloud IDE; Integrated Ops Environment; Multi-Machine; Multi-Project; Commands; Previews; Java Intellisense; JavaScript Intellisense; Light Theme; Plug-Ins; Open Source;
Statistics
GitHub Stars
47.0K
GitHub Stars
-
GitHub Forks
10.1K
GitHub Forks
-
Stacks
22.9K
Stacks
58
Followers
14.7K
Followers
148
Votes
344
Votes
28
Pros & Cons
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Pros
  • 12
    Cloud IDE
  • 7
    Open Source
  • 5
    Powerful
  • 2
    Can be locally hosted
  • 1
    All features free by default
Cons
  • 2
    LAck of support for golang
Integrations
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
Azure DevOps
Azure DevOps
Google Compute Engine
Google Compute Engine
GitHub Enterprise
GitHub Enterprise
GitLab
GitLab
Bitbucket
Bitbucket
GitHub
GitHub
Amazon EC2
Amazon EC2
Docker
Docker
Jira
Jira
SVN (Subversion)
SVN (Subversion)

What are some alternatives to Terraform, Eclipse Che?

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.

AWS Cloud9

AWS Cloud9

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.

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.

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