AWS Week in Review – August 22, 2022

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! I’m back from my summer holidays and ready to get up to date with the latest AWS news from last week! Last Week’s Launches Here are some launches that got Read more about AWS Week in Review – August 22, 2022[…]

AWS Week in Review – May 2, 2022

This post is part of our Week in Review series. Check back each week for a quick roundup of interesting news and announcements from AWS! Wow, May already! Here in the Pacific Northwest, spring is in full bloom and nature has emerged completely from her winter slumbers. It feels that way here at AWS, too, Read more about AWS Week in Review – May 2, 2022[…]

Amazon MSK Serverless Now Generally Available–No More Capacity Planning for Your Managed Kafka Clusters

Today we are making Amazon MSK Serverless generally available to help you reduce even more the operational overhead of managing an Apache Kafka cluster by offloading the capacity planning and scaling to AWS. In May 2019, we launched Amazon Managed Streaming for Apache Kafka to help our customers stream data using Apache Kafka. Apache Kafka Read more about Amazon MSK Serverless Now Generally Available–No More Capacity Planning for Your Managed Kafka Clusters[…]

Introducing Amazon MSK Connect – Stream Data to and from Your Apache Kafka Clusters Using Managed Connectors

Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. At re:Invent 2018, we announced Amazon Managed Streaming for Apache Kafka, a fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data. When you use Apache Kafka, you capture real-time data Read more about Introducing Amazon MSK Connect – Stream Data to and from Your Apache Kafka Clusters Using Managed Connectors[…]

Introducing Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python, or Scala

The best way to get timely insights and react quickly to new information you receive from your business and your applications is to analyze streaming data. This is data that must usually be processed sequentially and incrementally on a record-by-record basis or over sliding time windows, and can be used for a variety of analytics Read more about Introducing Amazon Kinesis Data Analytics Studio – Quickly Interact with Streaming Data Using SQL, Python, or Scala[…]