New Kinesis Client Library 3.0 reduces stream processing compute costs by up to 33%
News
The article discusses the new Kinesis Client Library (KCL) 3.0, which reduces compute costs for stream processing applications by up to 33% compared to previous versions.
Specifically, the article covers:
- KCL 3.0 introduces an enhanced load balancing algorithm that automatically redistributes workload across stream processing workers, ensuring even CPU utilization and eliminating the need for over-provisioning.
- KCL 3.0 is built with AWS SDK for Java 2.x, improving performance and security while removing dependency on AWS SDK for Java 1.x.
- KCL simplifies the development of stream processing applications with Amazon Kinesis Data Streams by managing tasks like load balancing, fault tolerance, and service coordination.
- Existing applications running on KCL 2.x can upgrade to KCL 3.0 by replacing the library without changing application code.
- KCL 3.0 supports stream processing applications running on Amazon EC2 instances or containers like Amazon ECS, Amazon EKS, or AWS Fargate.
- Conclusion: KCL 3.0 is available with Amazon Kinesis Data Streams in all AWS regions, enabling cost savings and improved performance for stream processing applications.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
Nov 6
2024
2024
Reduce your compute costs for stream processing applications with Kinesis Client Library 3.0
Jun 11
2025
2025
Amazon DynamoDB Streams adds supports for Kinesis Client Library (KCL) 3.0
Oct 28
2025
2025
Amazon Kinesis Data Streams now supports 10x larger record sizes: Simplifying real-time data processing
Oct 28
2025
2025
Amazon Kinesis Data Streams now supports 10x larger record sizes
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.