Google Cloud Deployment Manager聽vs聽Terraform

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Google Cloud Deployment Manager
Google Cloud Deployment Manager

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Terraform
Terraform

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Google Cloud Deployment Manager vs Terraform: What are the differences?

Developers describe Google Cloud Deployment Manager as "Create and manage cloud resources with simple templates". Google Cloud Deployment Manager allows you to specify all the resources needed for your application in a declarative format using yaml. On the other hand, Terraform is detailed as "Describe your complete infrastructure as code and build resources across providers". With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.

Google Cloud Deployment Manager and Terraform can be primarily classified as "Infrastructure Build" tools.

Terraform is an open source tool with 17.4K GitHub stars and 4.77K GitHub forks. Here's a link to Terraform's open source repository on GitHub.

- No public GitHub repository available -

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.

What is Terraform?

With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.
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Why do developers choose Google Cloud Deployment Manager?
Why do developers choose Terraform?

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    What tools integrate with Google Cloud Deployment Manager?
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    What are some alternatives to Google Cloud Deployment Manager and Terraform?
    Chef
    Chef enables you to manage and scale cloud infrastructure with no downtime or interruptions. Freely move applications and configurations from one cloud to another. Chef is integrated with all major cloud providers including Amazon EC2, VMWare, IBM Smartcloud, Rackspace, OpenStack, Windows Azure, HP Cloud, Google Compute Engine, Joyent Cloud and others.
    AWS CloudFormation
    You can use AWS CloudFormation鈥檚 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鈥檛 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.
    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.
    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.
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    Decisions about Google Cloud Deployment Manager and Terraform
    John Kodumal
    John Kodumal
    CTO at LaunchDarkly | 3 upvotes 82.4K views
    atLaunchDarklyLaunchDarkly
    Ansible
    Ansible
    Spinnaker
    Spinnaker
    Terraform
    Terraform
    Packer
    Packer
    Armory
    Armory

    LaunchDarkly is almost a five year old company, and our methodology for deploying was state of the art... for 2014. We recently undertook a project to modernize the way we #deploy our software, moving from Ansible-based deploy scripts that executed on our local machines, to using Spinnaker (along with Terraform and Packer) as the basis of our deployment system. We've been using Armory's enterprise Spinnaker offering to make this project a reality.

    See more
    Joseph Kunzler
    Joseph Kunzler
    DevOps Engineer at Tillable | 9 upvotes 71.9K views
    atTillableTillable
    Amazon S3
    Amazon S3
    Amazon EC2
    Amazon EC2
    AWS Elastic Load Balancing (ELB)
    AWS Elastic Load Balancing (ELB)
    AWS CloudFormation
    AWS CloudFormation
    Terraform
    Terraform

    We use Terraform because we needed a way to automate the process of building and deploying feature branches. We wanted to hide the complexity such that when a dev creates a PR, it triggers a build and deployment without the dev having to worry about any of the 'plumbing' going on behind the scenes. Terraform allows us to automate the process of provisioning DNS records, Amazon S3 buckets, Amazon EC2 instances and AWS Elastic Load Balancing (ELB)'s. It also makes it easy to tear it all down when finished. We also like that it supports multiple clouds, which is why we chose to use it over AWS CloudFormation.

    See more
    Terraform
    Terraform
    Google Cloud Deployment Manager
    Google Cloud Deployment Manager
    AWS CloudFormation
    AWS 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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    Pedro Arnal Puente
    Pedro Arnal Puente
    CTO at La Cupula Music SL | 7 upvotes 153.3K views
    atLa Cupula Music SLLa Cupula Music SL
    Debian
    Debian
    Amazon EC2
    Amazon EC2
    Amazon S3
    Amazon S3
    Amazon RDS for Aurora
    Amazon RDS for Aurora
    Redis
    Redis
    Amazon ElastiCache
    Amazon ElastiCache
    Terraform
    Terraform
    Packer
    Packer
    Ansible
    Ansible

    Our base infrastructure is composed of Debian based servers running in Amazon EC2 , asset storage with Amazon S3 , and Amazon RDS for Aurora and Redis under Amazon ElastiCache for data storage.

    We are starting to work in automated provisioning and management with Terraform , Packer , and Ansible .

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    Google Cloud IoT Core
    Google Cloud IoT Core
    Terraform
    Terraform
    Python
    Python
    Google Cloud Deployment Manager
    Google Cloud Deployment Manager
    Google Cloud Build
    Google Cloud Build
    Google Cloud Run
    Google Cloud Run
    Google Cloud Bigtable
    Google Cloud Bigtable
    Google BigQuery
    Google BigQuery
    Google Cloud Storage
    Google Cloud Storage
    Google Compute Engine
    Google Compute Engine
    GitHub
    GitHub

    Context: I wanted to create an end to end IoT data pipeline simulation in Google Cloud IoT Core and other GCP services. I never touched Terraform meaningfully until working on this project, and it's one of the best explorations in my development career. The documentation and syntax is incredibly human-readable and friendly. I'm used to building infrastructure through the google apis via Python , but I'm so glad past Sung did not make that decision. I was tempted to use Google Cloud Deployment Manager, but the templates were a bit convoluted by first impression. I'm glad past Sung did not make this decision either.

    Solution: Leveraging Google Cloud Build Google Cloud Run Google Cloud Bigtable Google BigQuery Google Cloud Storage Google Compute Engine along with some other fun tools, I can deploy over 40 GCP resources using Terraform!

    Check Out My Architecture: CLICK ME

    Check out the GitHub repo attached

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    Interest over time
    Reviews of Google Cloud Deployment Manager and Terraform
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    How developers use Google Cloud Deployment Manager and Terraform
    Avatar of Royal Icing
    Royal Icing uses TerraformTerraform

    Terraform makes it so easy to deploy AWS and Google Cloud services, with the declarative approach avoiding so many headaches of manual work and possible mistakes.

    Avatar of B霉i Thanh
    B霉i Thanh uses TerraformTerraform
    • Infrastructure as Code.
    • Central tool to deploy all infratructure: AWS, CloudFlare, StatusCake
    Avatar of Prime Technologies
    Prime Technologies uses TerraformTerraform

    The entire AWS environments is described and setup using Terraform.

    Avatar of Binded
    Binded uses TerraformTerraform

    All of our infrastructure is stored as code thanks to Terraform.

    Avatar of Razorpay
    Razorpay uses TerraformTerraform

    We orchestrate our AWS infrastructure using Terraform.

    How much does Google Cloud Deployment Manager cost?
    How much does Terraform cost?
    Pricing unavailable
    Pricing unavailable