gordon

Pros of Serverless

• Larger community and ecosystem, with more plugins and integrations
• Supports multiple cloud providers (AWS, Azure, Google Cloud, etc.)
• More comprehensive documentation and tutorials

Cons of Serverless

• Steeper learning curve due to more complex configuration
• Can be overkill for simple projects or AWS-only deployments
• Slower deployment times for large projects

Code Comparison

Gordon:

functions:
  hello:
    code: code/
    handler: handler.hello
    description: My first Lambda function

Serverless:

functions:
  hello:
    handler: handler.hello
    events:
      - http:
          path: hello
          method: get

Gordon focuses on simplicity and AWS-specific deployments, while Serverless offers a more feature-rich and flexible approach. Gordon's configuration is typically more concise, making it easier for beginners or small projects. Serverless, on the other hand, provides more advanced features and cross-cloud support, but at the cost of increased complexity.

Both frameworks aim to simplify serverless deployments, but they cater to different use cases and preferences. Gordon is ideal for AWS-centric projects seeking simplicity, while Serverless is better suited for complex, multi-cloud deployments or those requiring extensive customization.

Pros of Chalice

• Official AWS project with active development and support
• Tighter integration with AWS services and best practices
• More comprehensive documentation and examples

Cons of Chalice

• Limited to Python development only
• Less flexibility in project structure and customization
• Steeper learning curve for developers new to AWS

Code Comparison

Chalice:

from chalice import Chalice

app = Chalice(app_name='helloworld')

@app.route('/')
def index():
    return {'hello': 'world'}

Gordon:

- name: hello
  description: Hello World Function
  runtime: python3.6
  handler: handler.hello
  code: ./code

Gordon focuses on a YAML-based configuration approach, while Chalice uses a Python decorator-based style for defining Lambda functions and API routes. Chalice's approach may feel more familiar to Python developers, but Gordon's YAML configuration can be more concise for simple functions.

Both frameworks aim to simplify serverless development on AWS, but they take different approaches. Chalice offers a more opinionated, Python-centric solution with deeper AWS integration, while Gordon provides a more flexible, language-agnostic approach with support for multiple runtimes and services.

Pros of Zappa

• More active development and larger community support
• Supports a wider range of AWS services and integrations
• Offers more advanced features like custom domains and SSL certificates

Cons of Zappa

• Steeper learning curve for beginners
• Can be more complex to configure for simple applications
• Requires more AWS knowledge and setup

Code Comparison

Zappa:

from zappa.asynchronous import task

@task
def my_async_task():
    # Perform asynchronous operations
    pass

Gordon:

from gordon import events

@events.sns_subscriber('my-topic')
def handle_sns_event(event):
    # Handle SNS event
    pass

Both Zappa and Gordon aim to simplify serverless deployments on AWS, but they have different approaches and feature sets. Zappa focuses on deploying Python WSGI applications, while Gordon is more oriented towards event-driven architectures. Zappa offers more flexibility and advanced features, making it suitable for complex applications. Gordon, on the other hand, provides a simpler setup process and is easier to use for basic serverless functions and event-driven workflows.

Pros of AWS SAM CLI

• Official AWS tool with extensive documentation and community support
• Seamless integration with AWS services and CloudFormation
• Local testing and debugging capabilities for Lambda functions

Cons of AWS SAM CLI

• Steeper learning curve for developers new to AWS ecosystem
• Limited to AWS-specific deployments and services

Code Comparison

AWS SAM CLI:

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

Gordon:

- name: hello-world
  type: lambda
  runtime: python3.6
  handler: handler.hello
  memory: 128
  timeout: 3

Gordon offers a simpler YAML configuration for Lambda functions, while AWS SAM CLI provides a more comprehensive CloudFormation-based template. AWS SAM CLI's approach allows for more detailed resource definitions and integrations with other AWS services, but may require more verbose configurations. Gordon's syntax is more concise and easier to read for simple Lambda deployments, but may lack some of the advanced features and integrations offered by AWS SAM CLI.

Pros of Pulumi

• Supports multiple cloud providers (AWS, Azure, GCP, etc.) and programming languages (Python, TypeScript, Go, etc.)
• Offers a more comprehensive infrastructure-as-code solution with state management and collaboration features
• Provides a rich ecosystem of pre-built components and integrations

Cons of Pulumi

• Steeper learning curve, especially for those new to infrastructure-as-code concepts
• Requires more setup and configuration compared to Gordon's simpler approach
• May be overkill for small projects or teams primarily focused on AWS Lambda deployments

Code Comparison

Gordon (Python):

@gordon.event(topic='arn:aws:sns:...')
def handler(event, context):
    print(event)
    return event

Pulumi (Python):

import pulumi_aws as aws

topic = aws.sns.Topic("my-topic")
lambda_func = aws.lambda_.Function("my-function",
    code=pulumi.AssetArchive({"index.py": pulumi.StringAsset("...")}),
    handler="index.handler",
    runtime="python3.8")
aws.lambda_.EventSourceMapping("topic-subscription",
    event_source_arn=topic.arn,
    function_name=lambda_func.name)

Gordon focuses on simplifying AWS Lambda deployments with a decorator-based approach, while Pulumi offers a more comprehensive infrastructure-as-code solution with support for multiple cloud providers and programming languages.