Amazon QuickSight now supports new axis configurations for small multiples and radar charts, empowering users to customize axis settings according to their use case. In small multiples, users now have the option to select either shared or independent axis configuration for both the X and Y axes, specifically for line and bar charts.

Amazon QuickSight introduces new unified coloring experience for your analysis and dashboards. Authors now have a way to assign colors on a field level which means that different visuals having the same field will now have the same color. Thus, making it easier for authors to specify color once on field level and reuse across different visuals instead of assigning colors for each visual separately. Along with this, we are also improving the coloring experience where visual color will persist and not change with visual interactions like sorting, filtering and actions. More details can be found here .

AWS Mainframe Modernization is now available with a range of new capabilities for easier management and operation of the service’s fully-managed runtime environments. The capabilities include role-based access, application-level monitoring, and application deployment updates that enable seamless user authorization control, greater application performance visibility, and faster application deployment, respectively, for modernizing mainframe applications.

Amazon DocumentDB launches index improvements enabling faster index builds on collections and the ability to view index build statuses. Amazon DocumentDB index builds can now be sped by up to 14X when using parallel workers compared to using a single worker. The index creation process now uses two workers by default, and you can configure the number of workers on Amazon DocumentDB 4.0 and 5.0 instance-based clusters.

Amazon FSx for NetApp ONTAP now supports SnapLock, an ONTAP feature that prevents data from being modified or deleted for a specified retention period by transitioning files to a write once, read many (WORM) state. FSx for ONTAP is the first and only fully managed file storage service in the cloud offering WORM protection. You can use SnapLock to meet regulatory compliance, protect business-critical data from ransomware, and prevent accidental or malicious attempts at alteration and deletion of data.

Amazon FSx for NetApp ONTAP, a service that provides fully managed shared storage built on NetApp’s popular ONTAP file system, now supports using the IP security (IPsec) protocol to encrypt data in transit. With this additional option to encrypt your data end-to-end, FSx for ONTAP offers even more flexibility for you to protect your data.

Amazon FSx for NetApp ONTAP, a service that provides fully managed shared storage built on NetApp’s popular ONTAP file system, is announcing two additional monitoring capabilities that enable you to monitor file system events and diagnose network connectivity: you can now access ONTAP Event Management System (EMS) logs and collect packet captures on your file systems.

Today, AWS announced Windows support on Karpenter (Starting with v0.29.0), the open-source node provisioning and management project. Using Karpenter, customers can now quickly scale their Amazon EKS clusters running Windows with right-sized Amazon EC2 instances in response to changing application load. Karpenter helps customers optimize their operational overhead and costs during this process without manually adjusting the compute capacity of their clusters, overprovisioning compute to meet rapidly changing demand, or creating multiple EC2 Autoscaling Groups (ASGs).

Following the announcement of updates to the PostgreSQL database by the open source community, we have updated Amazon Aurora PostgreSQL-Compatible Edition to support PostgreSQL 15.3, 14.8, 13.11, 12.15, and 11.20. These releases contains product improvements and bug fixes made by the PostgreSQL community, along with Aurora-specific improvements. This release also contains new features and improvements for Babelfish for Aurora PostgreSQL version 3.2 and improved support for Amazon Web Services Database Migration Service version 3.5.1 Aurora PostgreSQL target endpoint Babelfish data types. Refer to the Aurora version policy to help you to decide how often to upgrade and how to plan your upgrade process. As a reminder, if you are running any version of Amazon Aurora PostgreSQL 11, you must upgrade to a newer major version by January 31, 2024.

Amazon Aurora PostgreSQL-Compatible Edition now supports the pgvector extension to store embeddings from machine learning (ML) models in your database and to perform efficient similarity searches. Embeddings are numerical representations (vectors) created from generative AI that capture the semantic meaning of text input into a large language model (LLM). pgvector can store and search embeddings from Amazon Bedrock, Amazon SageMaker, and more.