Deploying an Open-Source Vector Database on AWS – Part 2

In this lab, we will create a Kafka producer application using AWS Lambda, which sends fake taxi ride data into a Kafka topic on Amazon MSK. A configurable number of the producer Lambda function will be invoked by an Amazon EventBridge schedule rule. Therefore, we are able to generate test data concurrently based on the desired volume of messages.

Deploying an Open-Source Vector Database on AWS – Part 1

In this lab, we will create a Kafka producer application using AWS Lambda, which sends fake taxi ride data into a Kafka topic on Amazon MSK. A configurable number of the producer Lambda function will be invoked by an Amazon EventBridge schedule rule. Therefore, we are able to generate test data concurrently based on the desired volume of messages.

Real Time Streaming with Kafka and Flink – Lab 1 Produce data to Kafka using Lambda

In this lab, we will create a Kafka producer application using AWS Lambda, which sends fake taxi ride data into a Kafka topic on Amazon MSK. A configurable number of the producer Lambda function will be invoked by an Amazon EventBridge schedule rule. Therefore, we are able to generate test data concurrently based on the desired volume of messages.

Real Time Streaming with Kafka and Flink – Introduction

This series updates a real time analytics app based on Amazon Kinesis from an AWS workshop. Data is ingested from multiple sources into a Kafka cluster instead and Flink (Pyflink) apps are used extensively for data ingesting and processing. As an introduction, this post compares the original architecture with the new architecture, and the app will be implemented in subsequent posts.