KloudDB Shield is a comprehensive Postgres Security Tool - PII Scanner , CIS Benchmarks , SSL audit , 12+ features .. Supports Postgres, RDS ,Aurora, MySQL

Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)

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.

A prometheus exporter that gathers metrics from AWS services.

Django web application deployed to AWS via Cloudformation templates, with an infrastructure as code approach following the AWS architecture best practices. The application is a sample blog-like website which can be used as a personal portfolio.

Installer source for SimpleIOT back-end.

E-Commerce Admin Dashboard (CMS)

A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store

Django eCommerce website with a lot of advanced custom functionalities, RDS Postgres and deployed it on Amazon AWS

An end-to-end data pipeline for building Data Lake and supporting report using Apache Spark.

RDS Extended Support Cost Estimator Script

Express API developed in Typescript and deployed to ECS Fargate that sits behind a private Application Load Balancer and exposed to the world using an Http API Gateway. This repo includes the CloudFormation template the defines all the resources.

Code for AWS blog: Optimize cost, increase throughput and boost performance of Amazon RDS workloads using Amazon ElastiCache

Restore PostgreSQL databases from AWS RDS S3 exports in Parquet format

This project has infrastructure as code to create an Amazon RDS Proxy in your existing architecture with an Amazon RDS PostreSQL database.

Application for sending scheduled emails based on AWS Lambda, AWS EventBridge and AWS RDS.

aws cdk wrapper for unleash: https://docs.getunleash.io/

CURD app with REACT frontend, dockerization, CI CD with Github Actions and deployment of app on AWS

Web app to evaluate the time complexity of divide and conquer algorithms using the Master Theorem and visualize the results (Python/Django/Typescript/React/Postgres/Docker/Elastic Beanstalk/RDS/Github Actions CI/CD).

The project aims to develop a real-time analysis system using Apache Kafka and Apache Spark with cloud-based architecture.The system will collect real-time data and stream the data into Kafka. Apache Spark will then be used to process and analyze the data in real-time.The processed data will be visualized using appropriate visualizations and graphs