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AWS Launch Wizard now allows you to automate deployment of SAP Web Dispatcher. This launch expands on existing Launch Wizard capabilities that allow you to automate deployment of SAP HANA, SAP NetWeaver based applications on HANA and ASE databases, SAP BW/4HANA, SAP S/4HANA, and SAP S/4HANA foundations using APIs or a console-based approach.

Today, AWS announces the general availability of RubyGems support in CodeArtifact. Gems, which are used to distribute Ruby libraries, can now be stored in CodeArtifact.

We are excited to announce AWS HealthOmics private workflows now support file systems that dynamically scale with your workflow. AWS HealthOmics is a fully managed service that empowers healthcare and life science organizations to store, query, analyze omics data to generate insights to improve health and drive scientific discoveries. With this release, customers can now choose between static and dynamic run storage options.

Amazon Location Service has released a Places plugin for MapLibre GL JS Geocoder, simplifying the integration of Amazon Location Places Service with MapLibre. Along with the authentication libraries, this plugin provides a frictionless experience to use Amazon Location Places with MapLibre GL JS. 

Amazon DynamoDB now supports an AWS Fault Injection Simulator (FIS) action to pause replication for global tables. FIS is a fully managed service for running controlled fault injection experiments to improve an application’s performance, observability, and resilience. Global tables replicate your Amazon DynamoDB tables automatically across your choice of AWS Regions to achieve fast, local read and write performance. Customers can use the new FIS action to observe how their application responds to a pause in regional replication, and tune their monitoring and recovery process to improve resiliency and application availability.

We are excited to announce AWS HealthOmics now supports the ability to share HealthOmics workflows across AWS accounts. AWS HealthOmics is a fully managed service that empowers healthcare and life science organizations to store, query, analyze omics data, and generate insights to improve health and drive scientific discoveries. With this release, customers can now develop analyses within a single AWS account and share them with other AWS accounts in the same organization or across organizations.

We are excited to announce public availability of an enhanced dataset discovery workflow for AWS Mainframe Modernization File Transfer with BMC. This new capability makes it easier for users to discover and select mainframe data sets for conversion and transfer to AWS. Users can now browse the mainframe data set catalog directly from the AWS Mainframe Modernization service console, select data sets from one or multiple mainframe volumes for transfer, view extended data set metadata, and choose data set codepage conversions. The enhanced workflow provides an intuitive and unified mechanism for mainframe data access and transfer.

Today, Amazon Transcribe announces the general availability of generative AI-powered call summarization available through the Amazon Transcribe Call Analytics API. Generative call summarization delivers a concise summary of contact center interactions, capturing key components such as why the customer called, how the issue was addressed, and what follow-up actions were identified.

Amazon Titan Text Embeddings V2, a new embeddings model in the Amazon Titan family of models, is now generally available in Amazon Bedrock. Using Titan Text Embeddings V2, customers can perform various natural language processing (NLP) tasks by representing text data as numerical vectors, known as embeddings. These embeddings capture the semantic and contextual relationships between words, phrases, or documents in a high-dimensional vector space. This model is optimized for Retrieval-Augmented Generations (RAG) use cases and is also well suited for a variety of other tasks such as information retrieval, question and answer chatbots, classification, and personalized recommendations.

Today, AWS Security Hub announces the release of the AWS Resource Tagging standard. The standard contains 85 new controls which can be used to identify if any of your AWS Resources are missing tag keys required by your organization. With the release of this standard, Security Hub now offers 386 security controls that automatically check the compliance of your AWS resources against pre-defined security principles and best practices.