AWS Lambda & Serverless - Developer Guide with Hands-on Labs. Develop thousands line of aws lambda functions interact to aws serverless services with real-world hands-on labs

Bridge to use Symfony Messenger on AWS Lambda with Bref

Validates AWS EventBridge cron expressions, which are similar to, but not compatible with Unix style cron expressions

Simple example of producing and consuming events using AWS EventBridge in .NET Core

Competitive Pokémon Data Platform

Automate Start and Stop of Amazon EC2 Instances to Save costs

🇧🇷 Tradução completa do Building Event Driven Architectures do Serverless Land.

Grammar for AWS Event Rules: https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-event-patterns-content-based-filtering.html

Code for Serverless Batch Cost Guardian AWS HPC Blog Post

WA Animals Amazon EventBridge rule to alert Slack with a Serverless lambda when someone signs in to AWS Account

A terraform module to create resources for capturing all eventbridge events for a given service as cloudwatch logs.

This repo is for sample application to implement cross account communication on event bridge

A Terraform module to create AWS resources which are used to automatically take backup of all the parameters residing on AWS SSM Parameter Store in JSON format and store it on AWS S3 bucket using AWS Lambda function based on Python. It is executed daily via AWS CloudWatch or AWS EventBridge.

An AWS CDK construct for catching un-matched events sent to an AWS EventBridge event bus

A Python utility for AWS cron expressions. Validate and parse AWS EventBridge cron expressions seamlessly.

Go channels for distributed queueing and event-driven systems

Serverless event-driven architecture enabling engineering teams to process millions of daily events with near real-time visibility and strong resilience.

Arquitetura de referência para autorizador de débito de cartão totalmente serverless na AWS

This a IAC of a serverless architecture using Terraform & AWS.

Weekly-automated AWS data engineering pipeline that spatially joins GBIF beaver sighting records with USGS water quality data (dissolved oxygen, temperature, pH, turbidity) to identify anomalous monitoring stations near beaver habitat.