Bender - Serverless ETL Framework

Discover how you can migrate from traditional deployments to serverless architectures with AWS

AWS Last Mile Delivery Hyperlocal

Amazon Kinesis Client for Go

Describes the concepts of lambda architecture and the actual deployment process with an example of building a serverless business intelligence systems using Amazon Kinesis, S3, Athena, OpenSearch Service, and QuickSight.

Example project for consuming AWS Kinesis streamming and save data on Amazon Redshift using Apache Spark

Voice of the Customer (VoC) to enhance customer experience with serverless architecture and sentiment analysis, using Amazon Kinesis, Amazon Athena, Amazon QuickSight, Amazon Comprehend, and ChatGPT-LLMs for sentiment analysis.

This workshop is meant to give customers a hands-on experience with mentioned AWS services. Serverless Data Lake workshop helps customers build a cloud-native and future-proof serverless data lake architecture. It allows hands-on time with AWS big data and analytics services including Amazon Kinesis Services for streaming data ingestion

Mobile App for real-time location and travel history tracking. Detects anomaly in case of deviation from original route

Collect client behavior data from around the world via HTTP(S) requests and store them in AWS S3 bucket.

KinesisProducerNet is a .NET port of Amazon Kinesis Producer Library targeting .NET Standard

Application demoes data pipline Producer > AWS Kinesis > AWS Lambda > AWS DynamoDb

Build for local AWS Kinesis

Friendly CLI for Amazon Kinesis Data Streams

Sample scripts for Twitter data processing and storage on AWS

Terraform module to create a kinesis stream

Terraform module that configures pre-defined cloudwatch alerts for the provided resources and pushes them to SNS

Terraform Module for AWS Kinesis video stream

A Terraform module to provision Amazon Kinesis

Iot,Big Data Analytics using Apache-kafka,spark and other aws services