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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. Azure Resource Manager vs SparkleFormation

Azure Resource Manager vs SparkleFormation

OverviewComparisonAlternatives

Overview

Azure Resource Manager
Azure Resource Manager
Stacks40
Followers93
Votes11
GitHub Stars64
Forks47
SparkleFormation
SparkleFormation
Stacks2
Followers5
Votes0

SparkleFormation vs Azure Resource Manager: What are the differences?

Developers describe SparkleFormation as "Provisions, modifies, and destroys stacks in a predictable & repeatable manner". It is a Ruby DSL library that assists in programmatically composing template files commonly used by orchestration APIs It can be used to compose templates for any orchestration API that accepts serialized documents to describe resources.. On the other hand, Azure Resource Manager is detailed as "* A management framework that allows administrators to deploy, manage and monitor Azure resources*". It also allows administrators to apply access controls to all services in a resource group with role-based access control (RBAC), which is integrated into ARM.

SparkleFormation and Azure Resource Manager can be categorized as "Infrastructure Build" tools.

Some of the features offered by SparkleFormation are:

  • Template compilation
  • Resource discovery
  • Complex stack operations.

On the other hand, Azure Resource Manager provides the following key features:

  • Deploy app resources
  • Organize resources
  • Control access to resources

Azure Resource Manager is an open source tool with 63 GitHub stars and 46 GitHub forks. Here's a link to Azure Resource Manager's open source repository on GitHub.

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CLI (Node.js)
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Manual

Detailed Comparison

Azure Resource Manager
Azure Resource Manager
SparkleFormation
SparkleFormation

It is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure subscription. You use management features, like access control, locks, and tags, to secure and organize your resources after deployment.

It is a Ruby DSL library that assists in programmatically composing template files commonly used by orchestration APIs. It can be used to compose templates for any orchestration API that accepts serialized documents to describe resources.

Deploy app resources; Organize resources; Control access to resources
Template compilation; Resource discovery; Complex stack operations.
Statistics
GitHub Stars
64
GitHub Stars
-
GitHub Forks
47
GitHub Forks
-
Stacks
40
Stacks
2
Followers
93
Followers
5
Votes
11
Votes
0
Pros & Cons
Pros
  • 4
    Bicep - Simple Declarative Language
  • 2
    RBAC and Policies in templates
  • 1
    Infrastructure-as-Code
  • 1
    Deep integration with Azure services like Azure Policy
  • 1
    Over 1K samples the QuickStart repo
No community feedback yet
Integrations
Kubernetes
Kubernetes
Docker
Docker
Ruby
Ruby
Terraform
Terraform
rkt
rkt
CloudFlare
CloudFlare
Google Compute Engine
Google Compute Engine
Consul
Consul
Heroku
Heroku
DigitalOcean
DigitalOcean
Otto
Otto
Scaleway
Scaleway

What are some alternatives to Azure Resource Manager, SparkleFormation?

AWS CloudFormation

AWS CloudFormation

You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work.

Packer

Packer

Packer automates the creation of any type of machine image. It embraces modern configuration management by encouraging you to use automated scripts to install and configure the software within your Packer-made images.

Scalr

Scalr

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

Pulumi

Pulumi

Pulumi is a cloud development platform that makes creating cloud programs easy and productive. Skip the YAML and just write code. Pulumi is multi-language, multi-cloud and fully extensible in both its engine and ecosystem of packages.

Habitat

Habitat

Habitat is a new approach to automation that focuses on the application instead of the infrastructure it runs on. With Habitat, the apps you build, deploy, and manage behave consistently in any runtime — metal, VMs, containers, and PaaS. You'll spend less time on the environment and more time building features.

Google Cloud Deployment Manager

Google Cloud Deployment Manager

Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml.

AWS Cloud Development Kit

AWS Cloud Development Kit

It is an open source software development framework to model and provision your cloud application resources using familiar programming languages. It uses the familiarity and expressive power of programming languages for modeling your applications. It provides you with high-level components that preconfigure cloud resources with proven defaults, so you can build cloud applications without needing to be an expert.

Yocto

Yocto

It is an open source collaboration project that helps developers create custom Linux-based systems regardless of the hardware architecture. It provides a flexible set of tools and a space where embedded developers worldwide can share technologies, software stacks, configurations, and best practices that can be used to create tailored Linux images for embedded and IOT devices, or anywhere a customized Linux OS is needed.

GeoEngineer

GeoEngineer

GeoEngineer uses Terraform to plan and execute changes, so the DSL to describe resources is similar to Terraform's. GeoEngineer's DSL also provides programming and object oriented features like inheritance, abstraction, branching and looping.

Atlas

Atlas

Atlas is one foundation to manage and provide visibility to your servers, containers, VMs, configuration management, service discovery, and additional operations services.

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