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GeoEngineer

52
65
+ 1
0
Metamon

0
3
+ 1
0
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GeoEngineer vs Metamon: What are the differences?

Developers describe GeoEngineer as "Ruby DSL and DSL (geo) to codify then plan and execute changes to cloud resources, by Coinbase". 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. On the other hand, Metamon is detailed as "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.

GeoEngineer and Metamon can be primarily classified as "Infrastructure Build" tools.

GeoEngineer and Metamon are both open source tools. It seems that GeoEngineer with 397 GitHub stars and 49 forks on GitHub has more adoption than Metamon with 348 GitHub stars and 15 GitHub forks.

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What is 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.

What is Metamon?

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.

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What companies use GeoEngineer?
What companies use Metamon?
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    What tools integrate with GeoEngineer?
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    What are some alternatives to GeoEngineer and Metamon?
    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 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.
    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.
    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
    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.
    See all alternatives