A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.

StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.

A collection of lambda functions to collect data from Cloudwatch, Kinesis, VPC Flow logs, S3, security-hub and AWS Inspector

Friendly CLI for Amazon Kinesis Data Streams

Databases: Concepts, commands, codes, interview questions and more...

Consume an AWS Kinesis Data Stream to look over the records from a terminal.

Prototype which extracts stateful dataflows by analysing Python code.

This repo demonstrates how to use AWS application auto-scaling to implement custom-scaling in your Kinesis Data Analytics for Apache Flink applications

A declarative data-migration package

An AWS Data Engineering End-to-End Project (Glue, Lambda, Kinesis, Redshift, QuickSight, Athena, EC2, S3)

A serverless workflow architecture using AWS Lambda functions and Kinesis.

Sample for the German article "Anomalie-Erkennung für Echtzeit-Datenströme" by Constantin Gonzalez and Florian Mair published in Big Data Insider.

Apache Flink examples designed to be run by AWS Kinesis Data Analytics (KDA).

Capture video frame from IP Cam and send to Kinesis data streams for processing

A serverless streaming data pipeline running on LocalStack

Terraform module to ship CloudTrail logs stored in a S3 bucket into a Kinesis stream for further processing and real-time analysis.

Code to set up CDC applications Enable change data capture on RDS for MySQL applications that are using XA transactions blog post

Showcases real-time data replication from RDS (MariaDB) to Kinesis using AWS DMS on LocalStack. Implements both full-load and Change Data Capture (CDC) tasks to stream database changes for analytics.

This repo automates the processes when we want to send remote data to AWS services such as Kinesis, S3, etc.