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Amazon Relational Database Service (Amazon RDS) for Oracle now supports ECC384 Certificate Authority with two new ECDSA cipher suites for Oracle Secure Socket Layer (SSL) and Oracle Enterprise Manager (OEM) Agent options in Oracle Database versions 19c and 21c. The ECC384 Certificate Authority and ECDSA cipher suites provide comparable security to the RSA certificate authorities while using shorter keys, and deliver faster encryption with lower CPU usage. The new ECDSA cipher suites supported with this option are TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384 and TLS_ECDHE_ECDSA_WITH_AES_256_CBC_SHA384. To use these cipher suites, select ECC384 (rds-ca-ecc384-g1) as the Certificate Authority for your Amazon RDS for Oracle database instances. To learn more about adding SSL with ECDSA cipher suites, see

We are excited to announce the general availability of AWS Elastic Beanstalk in Asia Pacific (Thailand), (Malaysia), and Europe (Spain). AWS Elastic Beanstalk is a service that simplifies application deployment and management on AWS. The service automatically handles deployment, capacity provisioning, load balancing, auto-scaling, and application health monitoring, allowing developers to focus on writing code. For a complete list of regions and service offerings, see AWS Regions. To get started on AWS Elastic Beanstalk, see the AWS Elastic Beanstalk Developer Guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page. 

Starting today, AWS Deadline Cloud supports running Maxon Cinema 4D and Redshift render jobs on Linux service-managed fleets. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, for films, television and broadcasting, web content, and design. Previously available only on Windows fleets, you can now run Cinema 4D and Redshift jobs on Linux service-managed fleets reducing the compute costs for workers. AWS Deadline Cloud automatically handles the provisioning and elastic scaling of compute resources required for rendering your Cinema 4D and Redshift projects. Service-managed fleets can be configured in minutes so you can begin rendering immediately. Cinema 4D and Redshift is available on Linux service-managed fleets in all AWS regions where AWS Deadline Cloud is currently offered. To learn more about AWS Deadline Cloud visit the 

AWS Transform for .NET now supports Azure DevOps repos alongside GitHub, GitLab, and BitBucket. You can connect your Azure DevOps repositories directly to AWS Transform to discover, assess, transform hundreds of repositories in parallel, and run unit tests. AWS Transform automatically resolves dependencies from Azure Artifacts NuGet packages during transformation, helping you modernize .NET Framework applications from Windows to Linux-ready cross-platform .NET. Now, you can modernize your .NET applications while continuing to work within your familiar Azure DevOps workflows. Azure DevOps connector feature is now available in all regions where AWS Transform is available. To get started, visit the product page and documentation.

Amazon Aurora DSQL now supports application resiliency testing with AWS Fault Injection Service (FIS), a fully managed service for running controlled fault injection experiments to improve application performance, observability, and resilience. With this launch, customers can simulate real-world scenarios that disrupt connections to Aurora DSQL clusters, such as during regional failures, enabling them to observe how their applications respond to these disruptions and validate their resilience mechanisms. Aurora DSQL is the fastest serverless, distributed SQL database with active-active high availability and multi-Region strong consistency. The new FIS action creates scenarios where applications need to handle connection disruptions or complete inaccessibility to an Aurora DSQL cluster in an AWS Region, enabling customers to test application resilience and recovery capabilities. This lets customers test and build confidence that their applications respond as intended when ex

Today, we are excited to announce the general availability of seven highly expressive Amazon Polly Generative voices in English, French, Polish and Dutch. Amazon Polly is a fully-managed service that turns text into lifelike speech, enabling developers and builders to speechify their applications for conversational AI or for speech content creation. We are excited to share that Amazon Polly today launches one new male-sounding generative voice: Canadian French - Liam together with six new female-sounding generative voices: US English - Salli, Belgian French - Isabelle, French - Celine, Canadian French - Gabrielle, Polish - Ola, and Polish - Ewa. This launch expands the number of voices available on Polly's Generative TTS engine to twenty-seven diverse voices. With this release, Polly now offers six male-sounding voices (Canadian French - Liam, French - Rémi, German - Daniel, US Spanish - Pedro, Spain

Amazon Connect Contact Lens now supports external voice in the Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), and Europe (London) AWS Regions. Amazon Connect integrates with other voice systems for real-time and post-call analytics to help improve customer experience and agent performance with your existing voice system. Amazon Connect Contact Lens provides call recordings, conversational analytics (including contact transcript, generative AI post-contact summary, sensitive data redaction, contact categorization, theme detection, sentiment analysis, and real-time alerts), and generative AI for automating evaluations of up to 100% of customer interactions (including evaluation forms, automated evaluation, supervisor review) with a rich user experience to display, search and filter customer interactions, and programmatic access to data streams and the data lake. If you are an existing Amazon Connect customer, you can expand your use of Cont

AWS B2B Data Interchange now supports custom validation rules for X12 EDI documents, enabling you to expand and alter the validation logic of the X12 ANSI standard to align with custom agreements with your trading partners. AWS B2B Data Interchange automates validation, transformation, and generation of Electronic Data Interchange (EDI) documents such as ANSI X12 documents to and from JSON and XML data formats. With this launch, you can expand and alter the validation logic of the X12 ANSI standard. You can choose if certain elements need to be present and what length and values of elements are allowed for documents to pass the validation. AWS B2B Data Interchange will automatically validate X12 EDI documents against a combination of the X12 standard and your custom rules. Validation status will be communicated in a generated functional acknowledgment X12 EDI document (997/999) and in an emitted EventBridge event. In case of validation failure, AWS B2B Data Interchange will

Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G6 instances powered by NVIDIA L4 GPUs are now available in Middle East (UAE). G6 instances can be used for a wide range of graphics-intensive and machine learning use cases. Customers can use G6 instances for deploying ML models for natural language processing, language translation, video and image analysis, speech recognition, and personalization as well as graphics workloads, such as creating and rendering real-time, cinematic-quality graphics and game streaming. G6 instances feature up to 8 NVIDIA L4 Tensor Core GPUs with 24 GB of memory per GPU and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.52 TB of local NVMe SSD storage. Amazon EC2 G6 instances are already available today in the AWS US East (N. Virginia and Ohio) , US West (Oregon), Europe (Frankfurt, London, Paris, Spain, Stockholm and Zurich), Asia Pacific (Mumbai, Toky

Amazon RDS for MariaDB now supports MariaDB major version 11.8, the latest long-term maintenance release from the MariaDB community. This release supports MariaDB 11.8.3 minor version. Amazon RDS for MariaDB 11.8 now supports the MariaDB Vector feature, allowing you to store vector embeddings in your database and use retrieval-augmented generation (RAG) when building your Artificial Intelligence (AI) applications. You can use MariaDB Vector to build generative AI capabilities into your e-commerce, media, health applications, and more to find similar items within a catalog. MariaDB 11.8 also introduces the ability to limit maximum size of temporary files and tables, allowing you to better manage your databases’ storage and prevent potential issues caused by oversized temporary objects. Learn more about these community enhancements in the