AWS CloudFormation聽vs聽Google Cloud Deployment Manager

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AWS CloudFormation
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AWS CloudFormation vs Google Cloud Deployment Manager: What are the differences?

Developers describe AWS CloudFormation as "Create and manage a collection of related AWS resources". 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. On the other hand, Google Cloud Deployment Manager is detailed 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.

AWS CloudFormation and Google Cloud Deployment Manager can be categorized as "Infrastructure Build" tools.

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What is 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.

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.
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Why do developers choose AWS CloudFormation?
Why do developers choose Google Cloud Deployment Manager?

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What companies use AWS CloudFormation?
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What tools integrate with AWS CloudFormation?
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What are some alternatives to AWS CloudFormation and Google Cloud Deployment Manager?
AWS CodeDeploy
AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.
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.
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.
AWS Elastic Beanstalk
Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.
AWS Config
AWS Config is a fully managed service that provides you with an AWS resource inventory, configuration history, and configuration change notifications to enable security and governance. With AWS Config you can discover existing AWS resources, export a complete inventory of your AWS resources with all configuration details, and determine how a resource was configured at any point in time. These capabilities enable compliance auditing, security analysis, resource change tracking, and troubleshooting.
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Decisions about AWS CloudFormation and Google Cloud Deployment Manager
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.

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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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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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Reviews of AWS CloudFormation and Google Cloud Deployment Manager
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How developers use AWS CloudFormation and Google Cloud Deployment Manager
Avatar of CloudRepo
CloudRepo uses AWS CloudFormationAWS CloudFormation

Manually clicking around the AWS UI or scripting AWS CLI calls can be both a slow and brittle process.

We needed to be able to reconstruct CloudRepo's infrastructure in case of disaster or moving to another AWS Region.

Setting up our infrastructure with CloudFormation allows us to update it easily as well as duplicate or recreate things when the need arises.

Avatar of Opstax Ltd
Opstax Ltd uses AWS CloudFormationAWS CloudFormation

Opstax uses CloudFormation for anything infrastructure related! CloudFormation allows us to use infrastructure-as-code as a constant blueprint/map of our environment. It means we can accurately and efficiently deploy replicated or new infrastructure with no time wasted clicking around and no human error.

Avatar of Flux Work
Flux Work uses AWS CloudFormationAWS CloudFormation

Manage infrastructure as codes. Native AWS solution so it has better support to AWS resources than Terraform, also can leverage AWS Business Support.

Avatar of Endource
Endource uses AWS CloudFormationAWS CloudFormation

Manages the infrastructure for core website

Avatar of Patty R
Patty R uses AWS CloudFormationAWS CloudFormation

Deploys and maintains the infrastructure.

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