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Amazon Elastic Block Store announces io2 Block Express volumes available on all EC2 Nitro instances

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Today, Amazon Elastic Block Store (EBS) announced that io2 Block Express volumes are available on all EC2 instances built on the Nitro system . All new io2 volumes used with EC2 Nitro instances will automatically benefit from the latest generation of EBS storage server architecture designed to deliver consistent sub-millisecond latency and 99.999% durability. With a single io2 Block Express volume, customers can achieve 256,000 IOPS, 4GB/s of throughput, and storage capacity of 64 TiB. io2 Block Express has the lowest p99.9 I/O latency and the best outlier latency control among major cloud providers, making it the ideal choice for the most I/O-intensive, mission-critical deployments of SAP HANA, Oracle, Microsoft SQL Server, and IBM DB2.

EC2 Image Builder now supports image lifecycle management and deletion

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Customers can now manage the lifecycle of their custom Amazon Machine Images (AMIs) and Container images created on EC2 Image Builder. Customers can save costs by deleting unused images that accumulate storage charges on AWS. You no longer have to keep track of their custom images distributed across AWS accounts and AWS regions, and manually retire them as the images become outdated. With this launch, we provide customers an automated way to identify and remove outdated images, avoiding accidental usage of those images. 

Apache Flink is now generally available for Amazon EMR on EKS

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Today, we are excited to announce that Apache Flink is now generally available for Amazon EMR on EKS. With Apache Flink for Amazon EMR on EKS, customers can transform and analyze streaming data in real time with Apache Flink, an open-source framework for stateful computations over data streams. Amazon EMR on EKS is a deployment option for Amazon EMR that makes it easy for customers to run their big data applications and data lake analytics workloads on EKS. Customers already using Amazon EKS can run their Apache Flink application along with other types of applications on the same Amazon EKS cluster, helping improve resource utilization and simplify infrastructure management.

Amazon DocumentDB now supports no-code machine learning with Amazon SageMaker Canvas

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Amazon DocumentDB (with MongoDB compatibility) now integrates with Amazon SageMaker Canvas to enable no-code Machine learning (ML) with data stored in Amazon DocumentDB. Customers can now build ML models for regression and forecasting needs and use foundation models for content summarization and generation using data stored in Amazon DocumentDB without writing a single line of code. The new integration removes the undifferentiated heavy lifting when customers connect and access data in Amazon DocumentDB and accelerates ML development with a no-code experience.

AWS Amplify launches next generation of backend building capabilities

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Today, AWS Amplify announces a public preview of its code-first developer experience (Gen 2), enabling developers to build full-stack apps using TypeScript. Gen 2 shifts to a code-first approach that allows developers to express app requirements – data model, business logic, authorization rules – in TypeScript. The necessary cloud infrastructure is automatically deployed based on the app code, without explicit infrastructure definitions.

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