A new generation of project generators
This is intended to be a repo containing all of the official AWS Serverless architecture patterns built with CDK for developers to use. All patterns come in Typescript and Python with the exported CloudFormation also included.
A collection of awesome things related to the AWS Cloud Development Kit (CDK)
The AWS Solutions Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions
Expanding Serverless Framework beyond functions using the AWS CDK
A collection of higher-level reusable cdk constructs
A command-line utility for deploying serverless applications to AWS. Complete with custom domains, deploy previews, TypeScript support, and more.
AWS IAM policy statement generator with fluent interface
Type-safe AWS infrastructure.
Amazon Web Services (AWS) Guide. Learn all about Amazon Web Services Tools, Services, and Certifications.
Build serverless AWS applications with type-safe Components and easy-to-follow Conventions.
An example for using Amazon Cognito together with an external IdP
Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.
This is an AWS CDK Construct to make deploying a single page website (Angular/React/Vue) to AWS S3 behind SSL/Cloudfront easier
All you need to know to get your Spring Boot application into production with AWS 🍃
CDK constructs for self-hosted GitHub Actions runners
Learn to Build Full-Stack Serverless Apps and APIs using AWS Cloud Development Kit (CDK) in Baby Steps.
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
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