Pros of Serverless

• Multi-cloud support (AWS, Azure, Google Cloud, etc.)
• Extensive plugin ecosystem for added functionality
• Supports multiple programming languages

Cons of Serverless

• Steeper learning curve for beginners
• More complex configuration for advanced scenarios
• Potentially slower deployments for large projects

Code Comparison

Serverless Application Model (SAM):

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
  HelloWorldFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: index.handler

Serverless:

service: my-service
provider:
  name: aws
  runtime: nodejs14.x
functions:
  hello:
    handler: handler.hello

Both frameworks use YAML for configuration, but Serverless Framework has a more concise syntax. SAM is specifically designed for AWS, while Serverless Framework supports multiple cloud providers.

Serverless Application Model is tightly integrated with AWS services and provides a simpler setup for AWS-specific deployments. It's ideal for developers already familiar with AWS CloudFormation.

Serverless Framework offers more flexibility and cross-cloud compatibility but may require additional configuration for complex scenarios. It's better suited for projects that need multi-cloud support or extensive customization through plugins.

Pros of Pulumi

• Supports multiple cloud providers, not limited to AWS
• Uses general-purpose programming languages (Python, TypeScript, Go, etc.) for infrastructure definition
• Offers more flexibility and control over resource creation and management

Cons of Pulumi

• Steeper learning curve for those unfamiliar with programming languages
• Requires more setup and configuration compared to SAM's simplicity
• May be overkill for small, AWS-specific serverless projects

Code Comparison

Serverless Application Model (SAM):

Resources:
  HelloWorldFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: index.handler
      Runtime: nodejs14.x
      Events:
        HelloWorld:
          Type: Api
          Properties:
            Path: /hello
            Method: get

Pulumi:

import pulumi
import pulumi_aws as aws

hello_world_function = aws.lambda_.Function("helloWorldFunction",
    handler="index.handler",
    runtime="nodejs14.x",
    code=pulumi.AssetArchive({
        ".": pulumi.FileArchive("./app")
    })
)

api_gateway = aws.apigateway.RestApi("api")
resource = aws.apigateway.Resource("resource",
    rest_api=api_gateway.id,
    parent_id=api_gateway.root_resource_id,
    path_part="hello"
)
method = aws.apigateway.Method("method",
    rest_api=api_gateway.id,
    resource_id=resource.id,
    http_method="GET",
    authorization="NONE"
)

Pros of faas

• Platform-agnostic: Can run on any Kubernetes cluster or bare-metal servers
• Supports multiple programming languages and Docker images
• Community-driven with active development and contributions

Cons of faas

• Requires more setup and infrastructure management compared to SAM
• Less integrated with cloud provider services
• Steeper learning curve for developers new to containerization

Code Comparison

SAM template example:

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
  MyFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: index.handler
      Runtime: nodejs14.x

OpenFaaS function example:

version: 1.0
provider:
  name: openfaas
  gateway: http://127.0.0.1:8080
functions:
  my-function:
    lang: node14
    handler: ./handler
    image: my-function:latest

Both frameworks use YAML for configuration, but SAM is more tightly integrated with AWS services, while OpenFaaS focuses on container-based deployments. SAM simplifies AWS Lambda function creation, whereas OpenFaaS provides more flexibility in terms of deployment targets and supported runtimes.

Pros of Kubeless

• Platform-agnostic: Works with any Kubernetes cluster, not limited to a specific cloud provider
• Supports multiple programming languages out-of-the-box
• Integrates well with existing Kubernetes ecosystems and tools

Cons of Kubeless

• Less mature and smaller community compared to SAM
• Limited built-in integrations with cloud services
• Requires more manual configuration and setup

Code Comparison

Kubeless function definition:

apiVersion: kubeless.io/v1beta1
kind: Function
metadata:
  name: hello
spec:
  handler: handler.hello
  runtime: python3.7

SAM function definition:

AWSTemplateFormatVersion: '2010-09-09'
Transform: AWS::Serverless-2016-10-31
Resources:
  HelloFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: index.handler
      Runtime: python3.7

Both frameworks use YAML for configuration, but Kubeless follows Kubernetes-style resource definitions, while SAM uses AWS CloudFormation syntax. Kubeless is more focused on function definitions, while SAM provides a broader set of resources for serverless applications in the AWS ecosystem.