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  1. Stackups
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  4. Cloud Management
  5. RightScale vs Terraform

RightScale vs Terraform

OverviewDecisionsComparisonAlternatives

Overview

RightScale
RightScale
Stacks19
Followers27
Votes0
Terraform
Terraform
Stacks22.9K
Followers14.7K
Votes344
GitHub Stars47.0K
Forks10.1K

RightScale vs Terraform: What are the differences?

Introduction

RightScale and Terraform are both popular tools used in infrastructure management and deployment. While they share some similarities, there are key differences between the two that make them distinct in terms of their features and capabilities.

  1. Scalability: RightScale is known for its scalability, allowing users to manage large and complex infrastructures easily. It offers features like auto-scaling and load balancing, which can handle high traffic and dynamic workloads efficiently. On the other hand, Terraform is also scalable, but its scalability is not as robust as that of RightScale. Terraform is more suitable for smaller infrastructures and deployments, although it can be used for larger projects as well.

  2. Configuration Language: RightScale uses its own proprietary configuration language called "RightScale DSL" (Domain-Specific Language). This DSL is specific to RightScale and requires learning a new syntax for defining infrastructure and deploying applications. On the contrary, Terraform uses a declarative configuration language that is more widely adopted and easier to learn for users who are familiar with infrastructure-as-code concepts. Terraform's configuration language is based on HashiCorp Configuration Language (HCL) and supports JSON syntax as well.

  3. Provider Ecosystem: RightScale has a comprehensive ecosystem of cloud providers, making it easier to manage multi-cloud environments. It supports a wide range of public and private cloud providers, allowing users to manage and deploy resources across different platforms. Terraform also has a strong provider ecosystem, but it may not be as extensive as RightScale's. However, Terraform can be more flexible in terms of integrating with different tools and services due to its open-source nature.

  4. Community Support and Adoption: RightScale is a commercial tool and has been in the market for a longer time. It has a well-established user base and support from RightScale's official channels. On the other hand, Terraform is an open-source tool developed by HashiCorp and has gained significant traction in the industry. It has a large and active community, providing support through forums, documentation, and community-contributed modules. The widespread adoption of Terraform has made it the preferred choice for many developers and organizations.

  5. State Management: RightScale automatically manages and tracks the state of infrastructure and applications. It provides features like backup and restore, as well as version control for state files. This ensures consistency and helps in maintaining the desired state of the infrastructure. Terraform also manages state, but it requires explicit commands to be executed for state management. Terraform state files can be version controlled using external tools like Git, providing more flexibility and control over the state management process.

  6. Workflow Automation: RightScale offers robust automation capabilities, allowing users to define and execute complex workflows for infrastructure provisioning and application deployment. It provides a graphical interface for workflow design and includes pre-built templates for common use cases. On the other hand, Terraform focuses more on infrastructure provisioning and configuration management, lacking the extensive workflow automation features offered by RightScale. Terraform can be integrated with other tools like Jenkins or GitLab for achieving similar automation goals.

In Summary, RightScale and Terraform are both capable tools for infrastructure management and deployment. RightScale stands out with its scalability and workflow automation features, while Terraform excels in its declarative configuration language, open-source nature, and community support. The choice between the two depends on the specific requirements of the project and the preferred level of control and flexibility in managing infrastructure.

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Advice on RightScale, 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

RightScale
RightScale
Terraform
Terraform

Automation is the core of RightScale, freeing you to run efficient, scalable, and highly-available applications. Our multi-cloud integration enables you to choose your own clouds, providing freedom to work with any vendor in a rapidly changing market. And rest assured knowing that you have visibility and control over all of your resources in one place. To take advantage of best practices, we encourage you to tap into cloud expertise provided by our service, support, and partner networks when building and managing your infrastructure.

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.

Supports: Amazon Web Services (AWS), Datapipe, Google Cloud Platform, HP Cloud, IDCF — Yahoo! Japan, Rackspace, SoftLayer, Windows Azure, CloudStack, OpenStack;Access, manage, and configure all of your resources — compute, networking, and storage — across all of your clouds.;See and manipulate all of your cloud servers in one place.;Configure your networking resources such as IP addresses, content delivery networks, firewalls, and virtual private networks. Manage block storage volumes and object stores to enable web serving, content delivery, persistent data storage, and backups.;Persistence in a non-persistent cloud;Tag and SSH into servers;Logically group servers together;Easily view complex environments;Cloud resources: Provision, configure, edit, and decommission.;Monitoring: Track and graph custom metrics in the dashboard or export to your own systems.;Auditing: Track and export audit logs.;Provisioning: Manage accounts, users, and permissions.;Build upon MultiCloud Images;Configure dynamically;Tune with input variables;Inherit preferences or set at launch;Store in your configuration library;Track and control versions;Find differences between configurations;Integrate with revision control systems;RightScale MultiCloud Marketplace offers pre-built cloud ServerTemplates, scripts, and architectures published by RightScale, our partners, and our users.;Keep tabs on your environment’s health with more than 80 built-in server, volume, database, and application monitors.;Create custom views on the Dashboard with QuickMonitoring and Widgets.;Manage an entire operations team with user authentication and permission controls. Assign roles by user and account to control administrative, billing, monitoring, publishing, and operational tasks.
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
19
Stacks
22.9K
Followers
27
Followers
14.7K
Votes
0
Votes
344
Pros & Cons
No community feedback yet
Pros
  • 121
    Infrastructure as code
  • 73
    Declarative syntax
  • 45
    Planning
  • 28
    Simple
  • 24
    Parallelism
Cons
  • 1
    Doesn't have full support to GKE
Integrations
AppDynamics
AppDynamics
New Relic
New Relic
Papertrail
Papertrail
Google Compute Engine
Google Compute Engine
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 RightScale, 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.

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.

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.

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.

AWS OpsWorks

AWS OpsWorks

Start from templates for common technologies like Ruby, Node.JS, PHP, and Java, or build your own using Chef recipes to install software packages and perform any task that you can script. AWS OpsWorks can scale your application using automatic load-based or time-based scaling and maintain the health of your application by detecting failed instances and replacing them. You have full control of deployments and automation of each component

Scalr

Scalr

Scalr is a remote state & operations backend for Terraform with access controls, policy as code, and many quality of life features.

Morpheus

Morpheus

Morpheus is a cloud application management and orchestration platform that works on any cloud or infrastructure, from AWS to bare metal. Enjoy complete cloud freedom with Morpheus.

cPanel

cPanel

It is an industry leading hosting platform with world-class support. It is globally empowering hosting providers through fully-automated point-and-click hosting platform by hosting-centric professionals

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