The AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates. (by aws)

Serverless-application-model Alternatives

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serverless-application-model reviews and mentions

Posts with mentions or reviews of serverless-application-model. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-25.
  • Simple and Cost-Effective Testing Using Functions
    5 projects | | 25 Mar 2024
    The complete solution with SAM is available here.
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    3 projects | | 4 Mar 2024
    There are many options to deploy Serverless Applications in AWS and one of them is SAM, the Serverless Application Model. I chose to use it here, because it doesn't add too many layers of abstraction between what's being deployed and the code we write and our infrastructure is quite simple.
  • Serverless Apache Zeppelin on AWS
    3 projects | | 4 Feb 2024
    The solution uses AWS SAM with the global configuration for Lambda functions and the public API you can use to access Apache Zeppelin. The stack deployment provides the URL as an output value.
  • Using design patterns in AWS Lambda
    1 project | | 15 Jan 2024
    When you combine this with the AWS Serverless Application Model you can also very easily include your dependencies. Or use a compiled language like golang for your Lambda functions. You simply run sam build before you run the aws cloudformation package and aws cloudformation deploy commands. SAM will build the binary and update the template to point to the newly built binary. Package will then upload it to S3 and replace the local reference to the S3 location. Deploy can then create or update the stack or you can use the CloudFormation integration in CodePipeline.
  • Serverless Site Health Check Notification System
    4 projects | | 22 Dec 2023
    I'm a big fan of using an Infrastructure as Code (IaC) approach for any project. My go to tools for this are the Servlerless Application Model (SAM) and it's associated CLI (SAM CLI). For more official use cases and for cross platform apps I typically use Terraform.
  • Starting My AWS Certification Journey as a Certified Cloud Practitioner
    6 projects | | 10 Dec 2023
  • API Gateway, Lambda, DynamoDB and Rust
    5 projects | | 5 Dec 2023
    Kicking off the tour and not starting a war, but I'm going to be using the Serverless Application Model.
  • Consuming an SQS Event with Lambda and Rust
    7 projects | | 3 Nov 2023
    The diagram here is super simple. I'm going to write something a little later that shows how this code could fit into a bigger workflow, but for now, I'm keeping it basic. And yes, that's the SAM Squirrel in there.
  • AWS Data Engineer Associate Certification - Coming Soon
    2 projects | | 27 Sep 2023
    Interestingly, AWS CDK and SAM are both explicitly mentioned. While CDK broadly addresses Infrastructure as Code, SAM is highlighted for its role in developing serverless data pipelines - a hugely underrated concept.
  • A Beginner's Guide to the Serverless Application Model (SAM)
    7 projects | | 16 Aug 2023
    Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.
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