This Wednesday, Blaine Nielsen of LEO will present to us on Turning Kinesis more Kafka-like.
Kafka is turning the world upside down with durable/replay-able data streams. The largest enterprises are leveraging streams as the communication back-bone for microservices. But Kafka is hard, server based, and tricky.
What if I could leverage serverless Kinesis to do the same thing and not have the overhead maintenance of Kafka? Look no further. This presentation will look at how to connect S3 as a Data Lake to Kinesis to provide replay and forever durability to your Kinesis Streams. We will review how microservices can access the streams to bring innovation to any project.
ABOUT THE PRESENTER
Blaine Nielsen is the CEO of LEO, an open-source project adding replay to AWS Kinesis. He loves data and has been converted from business operations to the tech field. He is big fan of AWS and helps companies leverage AWS's best-of-breed data tools including DynamoDB, ElasticSearch, RedShift, Machine Learning, and Athena.