Amazon Omics now supports batch import of variant data into Omics variant stores. You can now import up to 1,000 variant call format (VCF) and genome VCF (gVCF) files in a single variant import job. This simplifies how you bring population scale variant data into Omics and make it available for analysis.

Today, AWS announced the availability of next-generation General Purpose gp3 storage volumes for Amazon Relational Database Service (Amazon RDS) Custom for Oracle and Amazon RDS Custom for SQL Server. Amazon RDS gp3 volumes give you the flexibility to provision storage performance independently of storage capacity, paying only for the resources you need. You can choose gp3 storage type for your Amazon RDS Custom database instance with the ability to select from 40 GiB to 64 TiB (20 GiB to 16 TiB for Amazon RDS Custom SQL Server) of storage capacity, with a baseline storage performance of 12,000 IOPS (3,000 IOPS for Amazon RDS Custom SQL Server) included with the price of storage. For workloads that need even more performance, you can scale up to 64,000 IOPS (16,000 IOPS for Amazon RDS Custom SQL Server) for an additional cost.

Amazon Connect now supports the use of JSON structures such as nested arrays as attributes in flows, enabling you to build more personalized and automated customer experiences. For example, you can now build self-service experiences to help customers track their order status based on multiple purchases in the last month rather than the single most recent purchase. This new capability is supported in both the “Invoke AWS Lambda Function ” and “Show View ” flow blocks.

AWS Lake Formation is a service that allows you to set up a secure data lake in days. A data lake is a centralized, curated, and secured repository that stores your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions.

Starting today, Amazon EC2 R5b instances, are now available in two new AWS Regions – Europe(Milan), and Europe(Stockholm). R5b instances are powered by the AWS Nitro System and provide EBS-Optimized performance, enabling customers to lift and shift memory intensive applications to AWS.

AWS Elastic Disaster Recovery (AWS DRS) now supports automated replication of new disks added to your source servers to help you maintain readiness of your AWS recovery site. Elastic Disaster Recovery helps minimize downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, minimal compute, and point-in-time recovery.

Amazon Simple Notification Service (SNS) has introduced an open-source Extended Client Library for Python that enables you to publish and deliver large message payloads. Previously, only the Extended Client Library for Java was available. This library is useful for messages that are larger than 256KB, up to a maximum of 2GB. The library automatically saves the actual payload to an Amazon S3 bucket and publishes the reference of the stored Amazon S3 object to the Amazon SNS topic.

Today, we are introducing a new capability for AWS Batch to provide user-defined pod labels for jobs that run on your Amazon Elastic Kubernetes Service (Amazon EKS) clusters. Labels are key-value pairs that are used to specify identifying attributes of objects that are designed to be meaningful and relevant to users. Using labels, customers can map their own organizational structures and bring better accountability, compliance, and cost visibility for their workloads.

Amazon Relational Database Service (RDS) for Oracle now supports version 22.2 of Oracle Application Express (APEX) for 19c & 21c versions of Oracle Database. Using APEX, developers can build applications entirely within their web browser. To learn more about the latest features of APEX 22.2, please refer to Oracle’s documentation .

Today, AWS announces the general availability of the AWS Controllers for Kubernetes (ACK) for EventBridge and Pipes. This launch allows you to manage EventBridge resources, such as event buses, rules, and pipes, using the Kubernetes API and resource model (custom resource definitions).