AWS Serverless Application Model (SAM)


In today’s digital landscape, Amazon Web Services (AWS) has emerged as a dominant force, revolutionizing the way businesses leverage cloud computing technologies. It has become more complex as opposed to just an online shopping center. AWS is now taking over the technological world by providing technology solutions of almost every kind. It offers a score of services regarding software development. Such as Elastic Compute Cloud (EC2), Simple Storage Service (S3), Relational Database Service (RDS), Elastic Beanstalk, CloudFront, Serverless Application Model (SAM) provided by Lambda, etc – to name a few.

Well, this blog will take you through one of the AWS services i.e., Serverless Application Model also known as SAM.

Let’s get into it.

What is AWS SAM?

Well, AWS Serverless Application Model (SAM) is an open-source framework developed by AWS that simplifies the deployment and management of serverless applications on AWS Cloud. It provides a simplified syntax for defining serverless resources, such as AWS Lambda functions, APIs, and event sources, concisely and declaratively. SAM extends the capabilities of AWS CloudFormation, enabling developers to define their serverless applications and resources using a more streamlined and expressive template format.

Advantages of SAM for Serverless Development

Rapid development

SAM simplifies the process of creating and deploying serverless applications, allowing developers to focus on writing code rather than infrastructure configuration.

Local testing and debugging

It provides a local development environment that enables developers to test and debug their serverless applications locally before deployment.

Seamless integration with AWS services

SAM integrates seamlessly with other AWS services like AWS API Gateway, AWS DynamoDB, and AWS Step Functions, allowing developers to build complex serverless architectures easily.

Infrastructure-as-Code (IaC) approach

The templates of SAM are written in YAML or JSON, enabling infrastructure provisioning and application deployment as code.

Scalability and cost-efficiency

SAM leverages the auto-scaling capabilities of AWS Lambda, ensuring optimal resource utilization and cost efficiency.

Getting Started with SAM

To begin using SAM, developers need to install the AWS SAM CLI (Command Line Interface), which provides a set of commands for local development, testing, and deployment. The SAM CLI also integrates with popular build tools and IDEs, making it convenient to incorporate SAM into existing development workflows.


Now where can you use SAM?

Defining Serverless Resources with SAM

SAM allows developers to define serverless resources using simple and intuitive YAML or JSON templates. These templates consist of logical sections for functions, APIs, event sources, and more. It implies that a coder just has to write code to define the resources that are needed for the desired application.

Simplified APIs with SAM

It also simplifies the creation of APIs using AWS API Gateway. Developers can define RESTful APIs, configure endpoints, specify methods, and easily set up authentication and authorization within the SAM template. Furthermore, SAM integrates with AWS Lambda to enable seamless function-to-API mappings.

Event-Driven Architecture using SAM

With SAM, developers can build event-driven architectures by defining event sources and connecting them to AWS Lambda functions. Supported event sources include AWS S3, AWS DynamoDB, AWS SNS, and AWS SQS. SAM simplifies the process of configuring and managing event triggers, making it effortless to build robust and reactive serverless applications.

Local Testing and Debugging with SAM

SAM  offers a local development environment that enables developers to test and debug their serverless applications on their machines before deploying to AWS Cloud. By emulating AWS Lambda and other services locally, developers can iterate quickly and identify and fix issues efficiently.

SAM Deployment and CI/CD

It seamlessly integrates with AWS Code Pipeline and other CI/CD tools to enable automated deployments of serverless applications. Hence, its incorporation into the CI/CD pipeline allows developers to ensure a streamlined and consistent process for building, testing, and deploying their applications.

SAM and Infrastructure-as-Code (IaC)

SAM embraces the IaC approach, allowing developers to define and manage their serverless infrastructure using code. With SAM templates, infrastructure provisioning, and application deployment become reproducible, version-controlled, and easily auditable.

Monitoring and Troubleshooting SAM Applications

SAM integrates with AWS CloudWatch, thereby, enabling developers to monitor and gain insights into their serverless applications’ performance and health. By leveraging CloudWatch Logs, metrics, and alarms, developers can proactively identify issues and troubleshoot their applications effectively.

Cost Optimization with SAM

SAM promotes cost optimization through AWS Lambda’s auto-scaling capabilities, which scale resources based on demand. You can also downsize them when they are not needed. Additionally, its templates allow developers to define resource allocation, set execution time limits, and employ other optimization techniques to maximize cost efficiency.


AWS Serverless Application Model (SAM) encourages developers to build and deploy serverless applications efficiently on AWS Cloud. It simplifies the development and management processes. Therefore, accelerating the adoption of serverless architecture while ensuring scalability, cost-efficiency, and ease of deployment. Embrace SAM to unlock the full potential of serverless computing on AWS, streamline your application development workflows, and unlock new opportunities for innovation.

Writer at BCD Apps

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