Scheduler

Multi-cloud Queuing Hub for Python

AWS Elastic Face Recognition – Scalable Multi-Tier Cloud Application A scalable face recognition web application built on AWS using EC2, S3, and SQS. The system features a web tier handling client uploads, an auto-scaling application tier for face recognition using PyTorch, and an intelligent controller that dynamically scales EC2 instances.

👾 my production-grade code an E2E distributed pipeline to extract and process surfing videos (surfline sessions)

How to connect AWS SQS messages, AWS Lambda and AWS DynamoDB table

Designed and implemented a loosely coupled microservices-based e-commerce web application using Flask and Docker. Each service (user, product, order) was containerized and deployed using ECS Fargate. RDS MySQL was used for persistent storage, and services communicated via SQS. Implemented CI/CD pipeline using GitHub Actions

AWS Lambda solution that automatically creates and manages Dead Letter Queues (DLQs) for EventBridge rules. Ensures failed events are captured for analysis with scheduled reconciliation and real-time enforcement.

An interfacing library for using AWS SQS queues with the Panda3D game engine

aws SQS service class using python boto3

AWS SQS Batch Sender for boto3

☁️ Simplify your AWS experience with AWSF, a fast fuzzy finder for quickly locating resources in the AWS Console without the hassle.

A boto3 wrapper with SQS utilities

This repository contains an Ecommerce application built using AWS Cloud Development Kit (CDK) and Python. The application leverages various AWS services to provide functionalities like managing product inventory, processing orders, and handling user interactions.

Projeto para implementar uma infraestrutura utilizando o LocalStack.

An AWS scheduled pipeline: producer lambda > SQS > worker lambda > S3, with custom email notification with SNS

A simple task processor for Amazon SQS

Event driven data pipeline processing data from S3 to Athena with Lambda functions, SQS queues, Glue metastore/jobs