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API StatusChangelog
Google Cloud Deployment Manager
ByGoogle Cloud PlatformGoogle Cloud Platform

Google Cloud Deployment Manager

#245in Build Automation
Discussions1
Followers113
OverviewDiscussions1

What is 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.

Google Cloud Deployment Manager is a tool in the Build Automation category of a tech stack.

Google Cloud Deployment Manager Pros & Cons

Pros of Google Cloud Deployment Manager

  • ✓Automates infrastructure deployments
  • ✓Easy to deploy for GCP
  • ✓Fast deploy and update
  • ✓Infrastracture as a code

Cons of Google Cloud Deployment Manager

  • ✗Only using in GCP

Google Cloud Deployment Manager Alternatives & Comparisons

What are some alternatives to Google Cloud Deployment Manager?

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.

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.

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.

Google Cloud Deployment Manager Integrations

Jinja, Python, Google Cloud Storage, Google Compute Engine, Google Cloud SQL and 1 more are some of the popular tools that integrate with Google Cloud Deployment Manager. Here's a list of all 6 tools that integrate with Google Cloud Deployment Manager.

Jinja
Jinja
Python
Python
Google Cloud Storage
Google Cloud Storage
Google Compute Engine
Google Compute Engine
Google Cloud SQL
Google Cloud SQL
Camunda
Camunda

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Companies
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Developers
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Google Cloud Deployment Manager Discussions

Discover why developers choose Google Cloud Deployment Manager. Read real-world technical decisions and stack choices from the StackShare community.

Sung Won Chung
Sung Won Chung

Jun 3, 2019

Needs adviceonTerraformTerraformGoogle Cloud Deployment ManagerGoogle Cloud Deployment ManagerAWS CloudFormationAWS CloudFormation

I use Terraform because it hits the level of abstraction pocket of being high-level and flexible, and is agnostic to cloud platforms. Creating complex infrastructure components for a solution with a UI console is tedious to repeat. Using low-level APIs are usually specific to cloud platforms, and you still have to build your own tooling for deploying, state management, and destroying infrastructure.

However, Terraform is usually slower to implement new services compared to cloud-specific APIs. It's worth the trade-off though, especially if you're multi-cloud. I heard someone say, "We want to preference a cloud, not lock in to one." Terraform builds on that claim.

Terraform Google Cloud Deployment Manager AWS CloudFormation

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