Author: Sai Maddali

Recently, AWS introduced over 50 new capabilities across its streaming services, significantly enhancing performance, scale, and cost-efficiency. Some of these innovations have tripled performance, provided 20 times faster scaling, and reduced failure recovery times by up to 90%. We have made it nearly effortless for customers to bring real-time context to AI applications and lakehouses. In this post, we discuss the top six game changers that will redefine AWS streaming data.

Since the launch of tiered storage for Amazon Managed Streaming for Apache Kafka (Amazon MSK), customers have embraced this feature for its ability to optimize storage costs and improve performance. In previous posts, we explored the inner workings of Kafka, maximized the potential of Amazon MSK, and delved into the intricacies of Amazon MSK tiered […]

Amazon Managed Streaming for Apache Kafka (Amazon MSK) is a fully managed service that enables you to build and run applications that use Apache Kafka to process streaming data. Today, we’re excited to bring the benefits of Graviton3 to Kafka workloads, with Amazon MSK now offering M7g instances for new MSK provisioned clusters. AWS Graviton […]