we look at how we can use managed services such as Amazon Kinesis to handle our incoming data analytics streams from our sources while AWS handles the undifferentiated heavy lifting of managing the infrastructure
APACHE-2.0 License
Project FraudCatch leverages AI to predict and prevent financial fraud in real-time. It uses Apac...
AWS SDK for the Rust Programming Language
Sample serverless application that reads events from Amazon Kinesis Data Streams and batches reco...
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, ...
The Web Application reference architecture is a general-purpose, event-driven, web application ba...
Pass Lambda events to the application running on your machine | Debug real traffic locally | Forg...
A data engineering training project to build an end-to-end pipline for a real-time processing of ...
AWS Kinesis readable and writable streams
Analyse database activity with Aurora Database Activity Streams and send findings to Security Hub
Airline Booking is a sample web application that provides Flight Search, Flight Payment, Flight B...
Example how to Analyze DynamoDB data with Athena in different ways created with AWS CDK
My notes for AWS Solutions Architect Associate.
An AWS lambda function that sends you an SMS (using Twilio) with today exchange rate for a give c...
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analy...
AWS Certified Solutions Architect summary and exam tips