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A light-weight message bus on top of AWS services (SNS and SQS).

Versatile email infrastructure on AWS serverless

Because unmonitored infrastructure will bite you

This project implements a NestJS-based workflow for sending and processing messages via AWS SQS. The project includes configuration for AWS Lambda functions, SQS integration, and API Gateway using Serverless Framework

AWS Comprehend is an event-driven, serverless data processing pipeline that leverages AWS services to perform natural language processing and analysis on user-submitted text files.

Data Pipeline from AWS SQS/S3 to Kubernetes w/ Spark using Airflow, EKS & Data Lakehouse

A simple UI for local SQS

Publish-subscribe platform built on top of Amazon SQS and Amazon SNS

🌳 A sustainable Terraform Package which creates resources for Messaging Services (EventBridge, MSK, SNS, SQS) on AWS

Pub/Sub service providing asynchronous communication using message queues for multiple topics. Developed with Go / Gin, AWS SQS / SNS / DynamoDB.

Simple message queue service to provision queues and publish/consume/delete messages. Developed with Go / Gin, AWS SQS.

Simple Aws Helpers

A polycloud .NET cloud storage abstraction layer. Provides Blob storage (AWS S3, GCP, FTP, SFTP, Azure Blob/File/Event Hub/Data Lake) and Messaging (AWS SQS, Azure Queue/ServiceBus). Supports .NET 5+ and .NET Standard 2.0+. Pure C#.

In-memory message queue with an Amazon SQS-compatible interface. Runs stand-alone or embedded.

This repository automates cloud cost optimization by identifying and deleting unused AWS resources. It leverages AWS CloudWatch for monitoring, AWS Lambda for task automation, and Boto3 for API interactions. Notifications are sent via SQS before cleaning up abandoned snapshots, helping to reduce unnecessary costs in AWS environments.

sample java serverless applications that uses aws lambda and aws sns, aws sqs, aws dynamodb

In this project, we are going to use LocalStack to simulate locally, some services provided by AWS Cloud such as: DynamoDB, Lambda, SNS and SQS. Also, in order to simplify the use of AWS managed services, we are going to use Spring Cloud AWS.

The project integrates AWS S3 for scalable cloud storage of files and AWS SQS for asynchronous message queuing within a Spring Boot application. S3 handles file upload/download, while SQS ensures reliable communication between microservices.