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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Infrastructure Build Tools
  5. SparkleFormation vs Stacker 1

SparkleFormation vs Stacker 1

OverviewComparisonAlternatives

Overview

SparkleFormation
SparkleFormation
Stacks2
Followers5
Votes0
Stacker 1
Stacker 1
Stacks0
Followers1
Votes0
GitHub Stars709
Forks166

SparkleFormation vs Stacker 1: What are the differences?

What is SparkleFormation? 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..

What is Stacker 1? An AWS CloudFormation Stack orchestrator/manager. stacker is a tool and library used to create & update multiple CloudFormation stacks. stacker Blueprints are written in troposphere, though the purpose of most templates is to keep them as generic as possible and then use configuration to modify them.

SparkleFormation and Stacker 1 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, Stacker 1 provides the following key features:

  • Easily Create/Update/Destroy many stacks in parallel (though with an understanding of cross-stack dependencies)
  • Makes it easy to manage large environments in a single config, while still allowing you to break each part of the environment up into its own completely separate stack.
  • Manages dependencies between stacks, only launching one after all the stacks it depends on are finished.

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Detailed Comparison

SparkleFormation
SparkleFormation
Stacker 1
Stacker 1

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.

stacker is a tool and library used to create & update multiple CloudFormation stacks. stacker Blueprints are written in troposphere, though the purpose of most templates is to keep them as generic as possible and then use configuration to modify them.

Template compilation; Resource discovery; Complex stack operations.
Easily Create/Update/Destroy many stacks in parallel (though with an understanding of cross-stack dependencies);Makes it easy to manage large environments in a single config, while still allowing you to break each part of the environment up into its own completely separate stack.;Manages dependencies between stacks, only launching one after all the stacks it depends on are finished.;Only updates stacks that have changed and that have not been explicitly locked or disabled.;Easily pass Outputs from one stack in as Variables on another (which also automatically provides an implicit dependency);Use Environments to manage slightly different configuration in different environments.;Use Lookups to allow dynamic fetching or altering of data used in Variables.;A diff command for diffing your config against what is running in a live CloudFormation environment.;A small library of pre-shared Blueprints can be found at the stacker_blueprints repo, making things like setting up a VPC easy.
Statistics
GitHub Stars
-
GitHub Stars
709
GitHub Forks
-
GitHub Forks
166
Stacks
2
Stacks
0
Followers
5
Followers
1
Votes
0
Votes
0
Integrations
CloudFlare
CloudFlare
Google Compute Engine
Google Compute Engine
Consul
Consul
Heroku
Heroku
DigitalOcean
DigitalOcean
Otto
Otto
Scaleway
Scaleway
No integrations available

What are some alternatives to SparkleFormation, Stacker 1?

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.

Azure Resource Manager

Azure Resource Manager

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.

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.

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