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

Metamon vs SparkleFormation

OverviewComparisonAlternatives

Overview

Metamon
Metamon
Stacks0
Followers3
Votes0
GitHub Stars337
Forks15
SparkleFormation
SparkleFormation
Stacks2
Followers5
Votes0

Metamon vs SparkleFormation: What are the differences?

What is Metamon? A Vagrant/Ansible toolkit for kickstarting Django apps. Metamon is a Vagrantfile combined with a set of Ansible Playbooks which can be used to quickly start a new Django project. Although Metamon is easily extensible by adding new Ansible roles, it is a better fit for people who use Django + Gunicorn + Nginx + PostgreSQL.

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..

Metamon and SparkleFormation can be categorized as "Infrastructure Build" tools.

Some of the features offered by Metamon are:

  • Create an Ubuntu 14.04 machine.
  • Set-up basic Operating system dependencies.
  • Set-up a Virtualenv and automatically install dependencies.

On the other hand, SparkleFormation provides the following key features:

  • Template compilation
  • Resource discovery
  • Complex stack operations.

Metamon is an open source tool with 348 GitHub stars and 15 GitHub forks. Here's a link to Metamon's open source repository on GitHub.

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Detailed Comparison

Metamon
Metamon
SparkleFormation
SparkleFormation

Metamon is a Vagrantfile combined with a set of Ansible Playbooks which can be used to quickly start a new Django project. Although Metamon is easily extensible by adding new Ansible roles, it is a better fit for people who use Django + Gunicorn + Nginx + PostgreSQL.

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.

Create an Ubuntu 14.04 machine.;Set-up basic Operating system dependencies.;Set-up a Virtualenv and automatically install dependencies.;Set-up Supervisor, PostgreSQL 9.3, Gunicorn and Nginx.;Start a new Django project if it's needed.;Automatically activate a virtualenv and cd to the project's directory when logging in during development.;Use separate requirements files for faster deploys.;Separate settings file for unit testing with coverage and customized settings to make testing faster.
Template compilation; Resource discovery; Complex stack operations.
Statistics
GitHub Stars
337
GitHub Stars
-
GitHub Forks
15
GitHub Forks
-
Stacks
0
Stacks
2
Followers
3
Followers
5
Votes
0
Votes
0
Integrations
Ansible
Ansible
Django
Django
Vagrant
Vagrant
VirtualBox
VirtualBox
CloudFlare
CloudFlare
Google Compute Engine
Google Compute Engine
Consul
Consul
Heroku
Heroku
DigitalOcean
DigitalOcean
Otto
Otto
Scaleway
Scaleway

What are some alternatives to Metamon, 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.

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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