Tag: Internet

Amazon AppStream 2.0 improves the end-user experience by adding support for certificate-based authentication (CBA) on multi-session fleets running the Microsoft Windows operating system and joined to an Active Directory. This functionality helps administrators to leverage the cost benefits of the multi-session model while providing an enhanced end-user experience. By combining these enhancements with the existing advantages of multi-session fleets, AppStream 2.0 offers a solution that helps balance cost-efficiency and user satisfaction. By using certificate-based authentication, you can rely on the security and logon experience features of your SAML 2.0 identity provider, such as passwordless authentication, to access AppStream 2.0 resources. Certificate-based authentication with AppStream 2.0 enables a single sign-on logon experience to access domain-joined desktop and application streaming sessions without separate password prompts for Active Directory. This feat

Amazon Web Services, Inc. now supports China UnionPay credit cards for creating new AWS accounts, eliminating the need for international credit cards for customers in China. To use China UnionPay for creating your AWS account, enter your address and billing country in China, then provide your local China UnionPay credit card details and verify your personal identity or business license. All subsequent AWS charges will be billed in Chinese Yuan currency, providing convenient payment experience for customers in China. To get started, select China UnionPay as your payment method when creating a new AWS account. For more information on using China UnionPay credit cards with AWS, visit Set up a Chinese yuan credit card.  

We are excited to announce the general availability of fine-grained data access control (FGAC) via AWS Lake Formation for Apache Spark with Amazon EMR on EKS. This enables you to enforce full FGAC policies (database, table, column, row, and cell-level) defined in Lake Formation for your data lake tables from EMR on EKS Spark jobs. We are also sharing the general availability of Glue Data Catalog views with EMR on EKS for Spark workflows. Lake Formation simplifies building, securing, and managing data lakes by allowing you to define fine-grained access controls through grant and revoke statements, similar to RDBMS. The same Lake Formation rules now apply to Spark jobs on EMR on EKS for Hudi, Delta Lake, and Iceberg table formats, further simplifying data lake security and governance. AWS Glue Data Catalog views with EMR on EKS allows customers to create views from Spark jobs that can be queried from multiple engines without requiring access to referenced tables. Admi

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now supports Apache Kafka version 3.8. You can now create new clusters using version 3.8 with either KRAFT or ZooKeeper mode for metadata management or upgrade your existing ZooKeeper based clusters to use version 3.8. Apache Kafka version 3.8 includes several bug fixes and new features that improve performance. Key new features include support for compression level configuration. This allows you to further optimize your performance when using compression types such as lz4, zstd and gzip, by allowing you to change the default compression level. For more details and a complete list of improvements and bug fixes, see the Apache Kafka release notes for version 3.8. Amazon MSK is a fully managed service for Apache Kafka and Kafka Connect that makes it easier for you to build and

Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 17.4, 16.8, 15.12, 14.17, and 13.20. Please note, this release supports the versions released by the PostgreSQL community on February, 20,2025 to address the regression that was part of the February 13, 2025 release. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your mi

Amazon Database Migration Service (DMS) now supports the Multi-ENI networking model and Credentials Vending System for DMS Homogenous Migrations. Customers can now choose the Multi-ENI connection type and use the Credentials Vending System, providing a simplified networking configuration experience for secure connectivity to their on-premises database instances. For information see documentation for AWS DMS Homogeneous Migrations. For AWS DMS regional availability, please refer to the AWS Region Table.  

AWS CodePipeline introduces a new action to deploy to Amazon Elastic Compute Cloud (EC2). This action enables you to easily deploy your application to a group of EC2 instances behind load balancers. Previously, if you wanted to deploy to EC2 instances, you had to use CodeDeploy with an AppSpec file to configure the deployment. Now, you can simply use this new EC2 deploy action in your pipeline to deploy to EC2 instances, without the necessity of managing CodeDeploy resources. This streamlined approach reduces your operational overhead and simplifies your deployment process. To learn more about using the EC2 deploy action in your pipeline, visit our tutorial and documentation. For more information about AWS CodePipeline, visit our

AWS CodePipeline introduces a new action to deploy to Amazon Elastic Kubernetes Service (Amazon EKS). This action enables you to easily deploy your container applications to your EKS clusters, including those in private VPCs. Previously, if you wanted to deploy to a EKS cluster within a private network, you had to initialize and maintain a compute environment within the private network. Now, you can simply provide the name of the EKS cluster and add this action to your pipeline. The pipeline will automatically establish a connection into your private network to deploy your container application, without additional infrastructure needed. This streamlined approach reduces your operational overhead and simplifies your deployment process. To learn more about using the EKS action in your pipeline, visit our tutorial and

Beginning today, customers can use Amazon Bedrock in the Asia Pacific (Hyderabad) and Asia Pacific (Osaka) regions to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a fully managed service that offers a choice of high-performing large language models (LLMs) and other FMs from leading AI companies via a single API. Amazon Bedrock also provides a broad set of capabilities customers need to build generative AI applications with security, privacy, and responsible AI built in. These capabilities help you build tailored applications for multiple use cases across different industries, helping organizations unlock sustained growth from generative AI while ensuring customer trust and data governance. To get started, visit the Amazon Bedrock page and see the

AWS Elastic Beanstalk now enables customers to deploy applications on Windows Server 2025 and Windows Server Core 2025 environments. These environments come pre-configured with .NET Framework 4.8.1 and .NET 8.0, providing developers with the latest Long Term Support (LTS) version of .NET alongside the established .NET Framework Windows Server 2025 and Windows Server Core 2025 delivers enhanced security features and performance improvements. Developers can create Elastic Beanstalk environments on Windows Server 2025 using the Elastic Beanstalk Console, CLI, API, or AWS Toolkit for Visual Studio. This platform is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions. For more information about .NET on Windows Server p