9/9/2024, 12:00:00 AM ~ 9/10/2024, 12:00:00 AM (UTC)

Recent Announcements

AWS Elastic Beanstalk adds support for IPv6 inbound traffic to service endpoints

AWS Elastic Beanstalk now supports dual-stack public service endpoints and dual-stack VPC endpoints, including VPC endpoints integrated with AWS PrivateLink.\n This capability allows you to configure your Elastic Beanstalk VPC endpoints to accept dual-stack incoming traffic (via IPv6 and IPV4). You can also send requests to the Elastic Beanstalk service using the AWS CLI or the AWS SDK specifying an IPv4 endpoint or a dual-stack endpoint. For a list of public endpoints, see Elastic Beanstalk service endpoints in the Amazon Web Services General Reference.

Elastic Beanstalk support for IPv6 and IPv4 dual-stack functionality is available in all of the AWS Commercial Regions and AWS GovCloud (US) Regions that Elastic Beanstalk supports. For a complete list of regions and service offerings, see AWS Regions.

For more information about Elastic Beanstalk dual-stack traffic support, see IPV6 support in the AWS Elastic Beanstalk Developer Guide.

Amazon Aurora now supports R7g Graviton3-based instance family in 15 additional regions

AWS Graviton3-based R7g database instances are now generally available for Amazon Aurora with PostgreSQL compatibility and Amazon Aurora with MySQL compatibility in 15 additional regions, including US West (N. California), Canada (Central), South America (Sao Paulo), Europe (Stockholm), Europe (Frankfurt), Europe (London), Europe (Milan), Europe (Spain), Asia Pacific (Mumbai), Asia Pacific (Hyderabad), Asia Pacific (Seoul), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Hong Kong). AWS Graviton3 instances provide up to 30% performance improvement and up to 20% price/performance improvement over Graviton2 instances for Amazon Aurora, depending on the database engine version and workload.\n AWS Graviton3 processors are custom-designed AWS Graviton processors built on the AWS Nitro System. The Graviton3 processors offer several improvements over the second-generation Graviton processors. R7g database instances offer up to 30Gbps enhanced networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). You can spin up Graviton3 R7g database instances in the Amazon RDS Management Console or using the AWS CLI. Upgrading a database instance to Graviton3 requires a simple instance type modification. For more details, refer to the Aurora documentation. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services. To get started with Amazon Aurora, take a look at our getting started page.

Secondary sensor support for AWS IoT SiteWise Edge through CloudRail

Today, we’re announcing the general availability of secondary sensor support for AWS IoT SiteWise. Through an integration with AWS Partner CloudRail, customers can now ingest data from over 12,000 sensors from vendors like ifm, SICK, Turck, and Pepperl+Fuchs using either IO-Link or Modbus TCP/IP protocols. Secondary sensors enable data collection from isolated brownfield equipment and for customers to digitally integrate it with their other operational data. Previously, ingesting data from brownfield equipment required either upgrading equipment or manual processes for data collection resulting in manual errors, additional cost and time to value.\n Through a simple drop-down selection in the AWS Console, users add AWS Partner CloudRail software as a data source on their AWS IoT SiteWise Edge gateway and configure the desired sensor signals and protocols in the partner application. After deploying configurations, the equipment data flows to AWS IoT SiteWise Edge for local monitoring, storage, and access and on to AWS IoT SiteWise for integration with other industrial data and other AWS Cloud services. AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale. AWS IoT SiteWise Edge extends cloud capabilities to on-premises applications. This feature is generally available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Seoul), Asia Pacific (Sydney) and Canada (Central). To learn more, visit the AWS IoT SiteWise user guide.

Amazon IVS Real-Time Streaming now supports RTMP ingest

Starting today, you can use RTMP (Real-Time Messaging Protocol) and the encrypted version, RTMPS, to broadcast to your Amazon Interactive Video Service (Amazon IVS) stages. This new protocol complements the currently supported WHIP (WebRTC-HTTP Ingestion Protocol). RTMP ingest enhances compatibility with a wide range of software and hardware encoders for increased flexibility in your broadcasting.\n Amazon IVS is a managed live streaming solution that is designed to be quick and easy to set up, and ideal for creating interactive video experiences. Video ingest and delivery are available around the world over a managed network of infrastructure optimized for live video. Visit the AWS region table for a full list of AWS Regions where the Amazon IVS console and APIs for control and creation of video streams are available. To learn more, please visit the Amazon IVS RTMP ingest documentation page.

AWS IoT SiteWise Edge adds support for 100+ protocols through Litmus Edge

Today, we’re announcing the general availability of expanded industrial protocol support for AWS IoT SiteWise. Through a new integration with AWS Partner Litmus, customers can now ingest data from 100+ additional industrial protocols including proprietary protocols from companies like Allen-Bradley, Beckhoff, Emerson, Fanuc, Mitsubishi, Omron, and Yaskawa along with many others. Previously, ingesting data from these protocols required acquiring, provisioning, and configuring infrastructure and middleware for data collection resulting in additional cost and time to value.\n Through a simple drop-down selection in the AWS Console, users add AWS Partner Litmus Edge software as a data source on their AWS IoT SiteWise Edge gateway. Users then configure the protocols, build data flows, and configure data processing in the partner application. After configurations are deployed, the equipment data flows to AWS IoT SiteWise Edge for local monitoring, storage, and access. It is also sent to AWS IoT SiteWise for integration with other industrial data and usage in other AWS Cloud services. AWS IoT SiteWise is a managed service that makes it easy to collect, store, organize and monitor data from industrial equipment at scale. AWS IoT SiteWise Edge extends the cloud capabilities to on-premises applications. This new feature is generally available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Mumbai), Asia Pacific (Tokyo), Asia Pacific (Singapore), Asia Pacific (Seoul), Asia Pacific (Sydney) and Canada (Central). To learn more, visit the AWS IoT SiteWise user guide.

AWS Resource Access Manager now supports AWS PrivateLink

AWS Resource Access Manager (AWS RAM) now supports AWS PrivateLink, allowing you to create and manage your resource shares from within your Amazon Virtual Private Cloud (VPC) without traversing the public internet.\n AWS RAM helps you securely share your resources across your organization, with specific organizational units (OUs), or with individual AWS accounts. You can centrally create a resource and then share that resource using AWS RAM to reduce the operational overhead of managing resources in a multi-account environment. AWS RAM support for AWS PrivateLink is available in the AWS Commercial Regions, the AWS GovCloud (US) Regions, and the China Regions. To get started with using AWS RAM to share resources, visit the AWS Resource Access Manager Console.

AWS Elemental MediaConnect adds support for input thumbnail images

You can now monitor your sources and get instant visual feedback for AWS Elemental MediaConnect flows with thumbnail images via the AWS Management Console or API. Thumbnails are also available in the Workflow Monitor tool.\n Input thumbnails provide a visual representation of your live content. Rather than relying solely on metadata or metrics, you can now glance at a thumbnail to verify that your sources are operating as expected. This makes it easier to detect issues, troubleshoot problems, confirm the right input source is being sent, and ensure the quality of your live video. For more information on thumbnail access, visit the MediaConnect documentation. Input thumbnails in MediaConnect are available at no additional cost. AWS Elemental MediaConnect is a reliable, secure, and flexible transport service for live video that enables broadcasters and content owners to build live video workflows and securely share live content with partners and customers. MediaConnect helps customers transport high-value live video streams into, through, and out of the AWS Cloud. MediaConnect can function as a standalone service or as part of a larger video workflow with other AWS Elemental Media Services, a family of services that form the foundation of cloud-based workflows to transport, transcode, package, and deliver video. Visit the AWS Region Table for a full list of AWS Regions where MediaConnect is available. To learn more about MediaConnect, please visit here.

Amazon EC2 P5e instances are generally available via EC2 Capacity Blocks

Today, AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P5e instances, powered by the latest NVIDIA H200 Tensor Core GPUs. Available via EC2 Capacity Blocks, these instances deliver the highest performance in Amazon EC2 for deep learning and generative AI inference.\n You can use Amazon EC2 P5e instances for training and deploying increasingly complex large language models (LLMs) and diffusion models powering the most demanding generative AI applications. You can also use P5e instances to deploy demanding HPC applications at scale in pharmaceutical discovery, seismic analysis, weather forecasting, and financial modeling. P5e instances feature 8 H200 GPUs which have 1.7x GPU memory size and 1.5x GPU memory bandwidth than H100 GPUs featured in P5 instances. They provide market-leading scale-out capabilities for distributed training and tightly coupled HPC workloads with up to 3,200 Gbps of networking using second-generation Elastic Fabric Adapter (EFA) technology. To address customer needs for large scale at low latency, P5e instances are deployed in Amazon EC2 UltraClusters. P5e instances are now available in the US East (Ohio) AWS Region in the p5e.48xlarge sizes through EC2 Capacity Blocks for ML. To learn more about P5e instances, see Amazon EC2 P5e Instances.

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