Tibor Kiss

Today, we are announcing the general availability of Amazon DocumentDB (with MongoDB compatibility) I/O-Optimized, a new storage configuration for database clusters that provides improved price performance and predictable pricing for customers with I/O-intensive applications. Amazon DocumentDB I/O-Optimized offers improved performance, increasing write throughput and reducing latency for customers’ most demanding workloads. With Amazon DocumentDB I/O-Optimized, there are zero charges for read and write I/O operations—you only pay for your database instances and storage usage, making it easy to predict your database spend up front. Amazon DocumentDB I/O-Optimized offers up to 40% cost savings for I/O-intensive applications where I/O charges exceed 25% of the total Amazon DocumentDB database spend.

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Amazon CloudFront announces general availability of CloudFront KeyValueStore, a global, low-latency, key value datastore. KeyValueStore allows you to retrieve key value data from within CloudFront Functions making functions more customizable by allowing independent data updates. The key value data is available across all CloudFront edge locations and provides a highly efficient, in-memory, key-value store with fast reads from within CloudFront Functions. With KeyValueStore you can now implement lookup use cases such as feature flags, A/B testing, and storing environment variables with low latency.

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Amazon QuickSight is excited to announce the launch of SPICE capacity auto-purchase feature, offering an improved solution for the automatic management of SPICE capacity. Previously, customers had to manually purchase SPICE capacity, and insufficient capacity could lead to data ingestion failures, hindering the intended use of QuickSight. Now, customers can effortlessly opt in to the capacity auto-purchase with just one click. This new SPICE auto-purchase capability eliminates the need for customers to estimate usage and manually purchase SPICE capacity each time. Instead, they can seamlessly ingest data and use SPICE worry free, as QuickSight will automatically acquire the necessary capacity to meet their usage requirements. For further details, visit here.

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Amazon S3 server access logging now supports automatic date-based partitioning for log delivery. Amazon S3 server access logging provides detailed records for requests made to your S3 buckets including object size, total time, turn-around time, HTTP referer, and more. Now, with date-based partitioning, Amazon S3 automatically generates either event time or delivery time prefixes when delivering access logs to your destination bucket, which allows services like Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum to improve performance and reduce cost when querying logs.

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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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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.

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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.

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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.

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AWS Lake Formation now allows customers to apply permissions on subfields of their nested tables using data filters. Permissions can be granted on more granular fields such as on particular columns inside of structs. Permissions on nested fields provide customers more fine grained permissions to better match their business needs with greater flexibility to how they structure their data.

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Amazon Verified Permissions now provides customers with a new visual schema editor, in addition to the existing JSON editor, in the Verified Permissions console. Customers can now visualize the relationships between the entities used to model principals, resources and actions.

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