AWS Certified Data Analytics Specialty 2021 - Hands-On! - Kinesis Scaling

The video tutorial explains how to scale Amazon Kinesis by adding or splitting shards to increase stream capacity and merging shards to decrease it. It covers the importance of managing data ordering during resharding and introduces autoscaling, highlighting its limitations and the need for manual implementation. The tutorial emphasizes planning capacity in advance due to the time-consuming nature of resharding operations.

How can data be read out of order after a resharding operation?

What is the significance of the Kinesis Client Library (KCL) in managing data order?

What strategies can be implemented for auto-scaling in Kinesis?