AWS CodeBuild VS Google Cloud Deployment Manager

Therefore, I used AWS Codebuild and AWS CodePipeline to automate the steps of building and deploying the services. The diagram below depicts all the steps required to continuously deliver the frontend and backend applications:. - Source: dev.to / about 1 year ago

We treat these services in one  group as they belong together from a strategic point of view. They have been around for a few years and the teams that built these are now involved in CodeCatalyst. CodeCatalyst partly uses them “under the hood”. CodeCommit is a managed git hosting, CodeBuild is a managed “build” system, CodeStar is a “project management” tool. CodePipeline allows combining multiple CodeBuild steps... - Source: dev.to / about 1 year ago

Design for Operations You should implement your entire workload as code. The benefit is that you can apply the same engineering discipline that you use for application code to your infrastructure. Use version control system like AWS Codecommit to enable tracking of changes and releases, and use AWS Cloudformation for your infrastructure templates. It is recommendable to test and validate changes to help limit... - Source: dev.to / over 1 year ago

AWS CodeBuild: fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. - Source: dev.to / over 1 year ago

AWS CodeBuild is a completely managed service for compiling code, testing quality assurance using automated procedures, and generating software ready for deployment. CodeBuild is incredibly secure, as each client receives a unique set of encryption keys to include in each created artifact. Source: almost 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