CDK Construct for creating a bastion host to forward a connection to several AWS data services inside a private subnet from your local machine

This is a boilerplate AppSync-aurora project, that is deployed using the serverless framework with out of the box support for automated creation of a Serverless database cluster, lambdas, vpcs, security groups, nat gateways, etc.

Build a fully Serverless backend on AWS and how you can handle database schema migration using Amazon API Gateway, AWS Lambda, Amazon Aurora Serverless (MySQL) and Python CDK.

Terraform to create Jitsi Meet on AWS backed by RDS Aurora-Serverless database

CloudFormation stack to build a 100% Serverless, 3-Tier, HA and auto-scaling infrastructure for a containerized application.

Sample project with a very simple API build with Django Rest Framework to illustrate the use of AWS Fargate and Aurora Serverless with postgres compatibility.

Manage AWS DB resources using the AWS Data API - Heavily inspired by terraform-provider-postgresql

KlaudSol CMS is a Headless and Serverless CMS (Content Management System). A great alternative to WordPress and Strapi.

Terraform module which creates AWS RDS Aurora resources

AWS CDK for Discourse

Create serverless aurora cluster with AWS CDK

Track MXNet models experiments with MLflow running in Amazon SageMaker

Terraform module for building an aurora cluster using already built VPC and Subnets

This project accompanies the technical guide "Building Frog Junction". It contains all the source code and assets needed to build the Unity client. It also contains full source code listings for AWS resources that appear in the book.

Java Quarkus Microservice with Quartz, DynamoDB, ECS and Aurora Serverless.

A template for Rust Lambda functions

Automated intialization of Amazon RDS databases

This is an experimental fork of the Supysonic code to implement a serverless deployment of the Subsonic API. Initial effort will be to use an S3 + Aurora PostgreSQL Serverless backend and Lambda functions for the API.

An AWS project, discovering the prices of Freddo's at various UK supermarkets, using web scraping, AWS EC2, Aurora and Lambda.