AWS Service Catalog VS Google Cloud Deployment Manager

Service Catalog – Used to host all my AWS Service Catalog products used within my landing zone. - Source: dev.to / 4 months ago

I think Service Catalog is what you'd need: https://aws.amazon.com/servicecatalog/. Source: 11 months ago

Going back to enforcing convention and consistency we leveraged AWS Service Catalog with several custom templates to help us create new repositories. - Source: dev.to / over 1 year ago

Https://aws.amazon.com/servicecatalog/ perhaps. Source: almost 2 years ago

One approach is to use AWS Control Tower. Control Tower works in conjunction with AWS Organizations, which enables the creation and management of multiple AWS accounts under a single master account. You can use Control Tower in conjunction with AWS Service Catalog to offer your dev stack as a service catalog offering that developers can install into their accounts. You can even go one step farther and deploy... - Source: dev.to / over 2 years ago

Infrastructure as code (IaC) allows DevOps teams to define the end state of the required infrastructure and deploy it using a template-based approach. Public cloud platforms each provide proprietary IaC tools, such as Azure (ARM Templates and Bicep), AWS (CloudFormation), and GCP (Deployment Manager). - Source: dev.to / 10 months ago

Start with the google docs https://cloud.google.com/deployment-manager/docs. Source: about 1 year ago

Cloud Deployment Manager: Templated infrastructure deployment 🔗Link 🔗Link. - Source: dev.to / over 1 year ago

When exploring options on how to deploy the architecture we briefly considered Google Cloud Deployment Manager. Upon further investigation we were led to use Terraform instead. It was evident that Cloud Deployment Manager did not have the necessary support for the resource types that we were trying to create. Many of the supported resource types were still listed in beta. - Source: dev.to / almost 2 years ago

Deployment Manager templates give declarative language choices rather than imperative ones; this means that DevOps teams may tell Deployment Manager what a final deployment should look like, and GCP will automatically utilize the tools and procedures. When an excellent deployment method is created, it is saved so that it may be repeated and scaled on demand. Source: almost 2 years ago