We are happy to announce the preview of Amazon EMR Serverless, a new serverless option in Amazon EMR that makes it easy and cost-effective for data engineers and analysts to run petabyte-scale data analytics in the cloud. Amazon EMR is a cloud big data platform used by customers to run large-scale distributed data processing jobs, interactive SQL queries, and machine learning applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto. With EMR Serverless, customers can run applications built using these frameworks with a few clicks, without having to configure, optimize, or secure clusters. EMR Serverless automatically provisions and scales the compute and memory resources required by the application, and customers only pay for the resources they use.

Today, we are announcing AWS IoT FleetWise, a new service that makes it easier and more cost effective for automakers to collect, transform, and transfer vehicle data to the cloud in near-real time. Once the data is in the cloud, automakers can use it for tasks like remotely diagnosing issues in individual vehicles, analyzing vehicle fleet health to help prevent potential warranty claims and recalls, and collecting rich sensor data for training machine learning models that improve autonomous driving and advanced driver assistance systems (ADAS).

Today, Contact Lens for Amazon Connect announced a new machine learning (ML) capability called call summarization that helps businesses improve the productivity of contact center agents and managers, so they can focus on providing excellent customer experiences.

You can now use AWS Control Tower to deny services and operations in your Control Tower environments for the AWS Region(s) of your choice. Region deny capabilities complement existing AWS Control Tower Region selection and Region deselection features, providing you with the capabilities to address compliance and regulatory requirements while improving cost efficiency of expanding into additional Regions.

Today, we are announcing the next generation storage optimized Amazon EC2 Im4gn and Is4gen instances. These instances are built on the AWS Nitro System and are powered by AWS Graviton2 processors. They feature up to 30TB of storage with the new AWS Nitro SSDs that are custom-designed by AWS to maximize the storage performance of I/O intensive workloads such as SQL/NoSQL databases, search engines, distributed file systems and data analytics which continuously read and write from the SSDs in a sustained manner. AWS Nitro SSDs enable up to 60% lower latency and up to 75% reduced latency variability in Im4gn and Is4gen instances compared to the third generation of storage optimized instances. These instances maximize the number of transactions processed per second (TPS) for I/O intensive workloads such as relational databases (e.g. MySQL, MariaDB, PostgreSQL), and NoSQL databases (KeyDB, ScyllaDB, Cassandra) which have medium-large size data sets and can benefit from high compute performance and high network throughput. They are also an ideal fit for search engines, and data analytics workloads that require very fast access to data sets on local storage.

AWS IoT ExpressLink  (Preview) is connectivity software that powers a range of hardware modules developed and offered by AWS Partners, such as Espressif, Infineon, and u-blox. These connectivity modules include AWS-validated software, making it faster and easier for you to securely connect almost any product to the cloud in a fraction of the time and cost, including medical devices, industrial sensors, and consumer products.

We’re pleased to announce that AWS Control Tower now offers new guardrails to provide more control over the physical location of where customer data is stored and processed, a concept known as data residency. Control Tower data residency guardrails help ensure customer data, the personal data you upload to the AWS services under your AWS account, is not stored or processed outside a specific AWS Region or Regions.

Amazon Athena users can now use AWS Lake Formation to configure fine-grained access permissions and read from ACID-compliant tables. Amazon Athena makes it simple for users to analyze data in Amazon S3-based data lakes to help ensure that users only have access to data to which they’re authorized and that their queries are reliable in the face of changes to the underlying data can be a complex task.

AWS IoT Device Management Fleet Indexing now provides integration with two additional data sources, AWS IoT Core named shadows and AWS IoT Device Defender detect violations. With this release, supported data sources for Fleet Indexing increased to 5 from 3 (AWS IoT Core registry, shadows, and connectivity lifecycle events). These two additional data sources will help IoT customers who store IoT fleet data across different services and systems and regularly access the data for fleet monitoring, health checks, over-the-air (OTA) updates, and troubleshooting.