6/30/2025, 12:00:00 AM ~ 7/1/2025, 12:00:00 AM (UTC)

Recent Announcements

Citations API and PDF support for Claude models now in Amazon Bedrock

Amazon Bedrock introduces Citations API and PDF support for Anthropic’s Claude Models that empower developers to build more trustworthy AI applications and expand document processing capabilities. The Citations API allows Claude to ground its answers in source documents, providing detailed references to the exact sentences and passages used to generate responses. This leads to more verifiable and trustworthy outputs, crucial for applications requiring high accuracy and transparency.\n With the new Citations API, developers can enhance the reliability of their AI-powered applications. This feature is particularly valuable in fields such as legal research, academic writing, and fact-checking, where the ability to trace information back to its source is critical. PDF support for Claude further extends Amazon Bedrock’s capabilities, allowing users to extract text, analyze charts, and understand visual content from PDF documents. This comprehensive document analysis enables more efficient processing of complex documents, making it easier for businesses to derive insights from their existing PDF libraries. The Citations API and PDF support for Claude are available for Claude Opus 4, Claude Sonnet 4, Claude Sonnet 3.7, Claude Sonnet 3.5v2. The functionality will be available in all regions where these models are supported. These features can be accessed through Amazon Bedrock’s Invoke Model and Converse APIs, allowing for seamless integration into existing workflows and applications.

To learn more about these new features and how they can benefit your AI applications, visit the API Documentation for detailed information on implementation.

AWS Transfer Family launches support for IPv6 endpoints

AWS Transfer Family announces Internet Protocol version 6 (IPv6) support for server endpoints and service APIs. This enhancement enables both IPv6 and IPv4 clients to communicate with Transfer Family SFTP, FTPS, FTP, and AS2 server endpoints. You can also use IPv6 while accessing the Transfer Family service APIs.\n AWS Transfer Family offers fully managed support for file transfers over SFTP, AS2, FTPS, FTP, and web browser-based transfers. The addition of IPv6 support provides you with a vastly expanded address space, eliminating concerns about address exhaustion and simplifying network architecture for IPv6-native applications. With dual-stack support for both IPv4 and IPv6 clients on AWS Transfer Family endpoints, you can transition from IPv4 to IPv6, without needing to switch all systems at once. AWS Transfer Family support for IPv6 is available in all AWS Regions where the service is available. To learn more, visit the Transfer Family User Guide.

Amazon DynamoDB global tables with multi-Region strong consistency is now generally available

Starting today, Amazon DynamoDB global tables now supports multi-Region strong consistency. DynamoDB global tables is a fully managed, serverless, multi-Region, and multi-active database used by tens of thousands of customers. With this new capability, you can now build highly available multi-Region applications with a recovery point objective (RPO) of zero, achieving the highest level of resilience.\n DynamoDB global tables with multi-Region strong consistency provides the highest level of application resilience enabling applications to be always available and always read the latest data from any Region. It also removes the undifferentiated heavy lifting of managing strongly consistent replication. Multi-Region strong consistency is ideal for building global applications with strict consistency requirements like user profile management, inventory tracking, and financial transaction processing. DynamoDB global tables with multi-Region strong consistency is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (London), Europe (Paris), Europe (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Seoul), and Asia Pacific (Osaka). Global tables with multi-Region strong consistency is billed according to current global tables pricing. To get started with multi-Region strong consistency, see the DynamoDB Developer Guide, and visit the DynamoDB global tables page to learn more about building resilient multi-Region applications.

Amazon ElastiCache now supports AWS PrivateLink in eight additional AWS Regions

You can now use AWS PrivateLink to privately access Amazon ElastiCache from your Amazon Virtual Private Cloud (Amazon VPC) in Asia Pacific (Thailand), Asia Pacific (Melbourne), Asia Pacific (Malaysia), Middle East (UAE), Mexico (Central), Israel (Tel Aviv), Canada West (Calgary) and Europe (Zurich) Regions. AWS PrivateLink provides private connectivity between VPCs, AWS services, and on-premises networks, without exposing traffic to the public internet and securing your network traffic.\n To use AWS PrivateLink with Amazon ElastiCache, you create an interface VPC endpoint for Amazon ElastiCache in your VPC using the Amazon VPC console, AWS SDK, or AWS CLI. With an interface VPC endpoint, you can privately access the Amazon ElastiCache APIs from applications inside your Amazon VPC. You can also access the VPC endpoint from other VPCs using VPC Peering or your on-premises environments using AWS VPN or AWS Direct Connect. To learn more, and see a complete list of supported Regions, read the documentation or get started in the Amazon VPC Console.

Now generally available: Amazon EC2 C8gn instance

Today, AWS announces the general availability of the new Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors. The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances.\n Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. C8gn instances are available in the following AWS Regions: US East (N. Virginia), and US West (Oregon). The metal instances are only available in US East (N. Virginia). To learn more, see Amazon C8gn Instances. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

Finch expands support to Ubuntu, streamlining container development across platforms

Today, AWS announced Ubuntu support for Finch, an open source command line tool that allows developers to build, run, and publish Linux containers. Finch simplifies container development by bundling a minimal native client with a curated selection of open-source components.\n With the addition of Ubuntu support, Finch now provides a consistent and streamlined container development experience across more Linux distributions, addressing a key pain point for developers who work across multiple environments. Previously, Ubuntu users needed to build Finch from source and handle dependency management, which required additional setup time and coordination across development teams. Now, they can easily install Finch using Ubuntu’s APT package manager. This expansion allows teams to standardize their container workflows and tooling, improving productivity and collaboration across different Linux flavors. Finch’s Ubuntu support is available in the deb file format for Ubuntu LTS versions. Detailed installation instructions and troubleshooting guides are now available on the project’s website and GitHub repository, ensuring a smoother setup process for users across different Linux distributions. To learn more about using Finch on Linux, read the AWS News Blog.

AWS Config rules add classifications from AWS Control Tower Control Catalog

Today, AWS Config rules adds classification information from AWS Control Tower Control Catalog to make it easier for you to identify how Config rules map to different compliance frameworks such as CIS-v8.0, FedRAMP-r4, and NIST-CSF-v1.1. AWS Config rules help you automatically evaluate your AWS resource configurations for desired settings, enabling you to assess, audit, and evaluate configurations of your AWS resources. Control Catalog is a feature of AWS Control Tower that enables you to search AWS managed controls and their associated compliance frameworks.\n Control Catalog has classifications including Domain (such as “Data Protection”), Objective (such as “Data Encryption”), and common control (such as “Encrypt data at rest”) to help you better understand the purpose of a control. Today’s launch maps AWS Config rules to the specific compliance frameworks available in AWS Control Tower Control Catalog (CIS-v8.0, FedRAMP-r4, ISO-IEC-27001:2013-Annex-A, NIST-CSF-v1.1, NIST-SP-800-171-r2, PCI-DSS-v4.0, SSAE-18-SOC-2-Oct-2023), adding classification information (Domain, Objective, common control) to each AWS Config rule. If you’re using AWS Config, you’ll now see the same classification information in the AWS Config Console and in the AWS Control Tower Control Catalog, ensuring a unified experience across your AWS environment. This alignment between AWS Control Tower and AWS Config allows for seamless integration and more efficient management of your compliance and security posture. AWS Config rules with classifications from AWS Control Tower Control Catalog are available in all AWS Commercial regions where AWS Config and AWS Control Tower are available. To learn more about AWS Config rules and compliance frameworks, visit the AWS Config documentation.

Amazon Textract announces accuracy and feature updates to DetectDocumentText and AnalyzeDocument APIs

Amazon Textract is a managed machine learning service that automatically extracts text, handwriting, and data from any document or image. We regularly improve the underlying machine learning models based on customer feedback to provide even better accuracy. Today, we are pleased to announce feature and accuracy updates to the text detection model used in Textract DetectDocumentText and AnalyzeDocument APIs.\n This update adds support for superscripts, subscripts, and rotated text in documents. The update also includes accuracy improvements for text detection in box forms, extraction of visually similar character sets (e.g., ‘0’ vs. ‘O’), and lower-resolution documents such as faxes. This update is now available in US East (Ohio, N. Virginia), US West (N. California, Oregon), Asia Pacific (Mumbai, Seoul, Singapore, Sydney), Canada (Central), Europe (Frankfurt, Ireland, London, Paris, Spain), and AWS GovCloud (US-East, US-West) Regions. To get started, log on to the Amazon Textract console. To learn more about Textract capabilities, please visit the Amazon Textract website, developer guide, or resources page.

Amazon Simple Email Service is now available in three new AWS Regions

Amazon Simple Email Service (Amazon SES) is now available in the Asia Pacific (Hyderabad), Middle East (UAE), and Europe (Zurich) Regions. Customers can now use these new Regions to leverage Amazon SES to send emails and, if needed, to help manage data sovereignty requirements.\n Amazon SES is a scalable, cost-effective, and flexible cloud-based email service that allows digital marketers and application developers to send marketing, notification, and transactional emails from within any application. To learn more about Amazon SES, visit this page. With this launch, Amazon SES is available in 27 AWS Regions globally: US East (Virginia, Ohio), US West (N. California, Oregon), AWS GovCloud (US-West, US-East), Asia Pacific (Osaka, Mumbai, Hyderabad, Sydney, Singapore, Seoul, Tokyo, Jakarta), Canada (Central), Europe (Ireland, Frankfurt, London, Paris, Stockholm, Milan, Zurich), Israel (Tel Aviv), Middle East (Bahrain, UAE), South America (São Paulo), and Africa (Cape Town). For a complete list of all of the regional endpoints for Amazon SES, see AWS Service Endpoints in the AWS General Reference.

Amazon ECS includes Task ID in unhealthy service events

Amazon Elastic Container Services (Amazon ECS) now makes it easier to troubleshoot unhealthy tasks by adding the Task ID in service action events generated due to health failures.\n Amazon ECS is designed to help easily launch and scale your applications. When your Amazon ECS task fails Elastic Load Balancing (ELB) health checks, Amazon ECS produces an unhealthy service action event. With today’s launch, the Task ID is also included as part of the generated event, so you can quickly pinpoint the Task in question for faster troubleshooting. The new experience is now automatically enabled in all AWS Regions. See more details regarding unhealthy Service Events in the Amazon ECS documentation and how to set up Amazon EventBridge rules to capture Amazon ECS service action events.

Amazon Connect can now include agent activities from third-party applications when evaluating agent performance

Amazon Connect can now integrate agent activities from third-party applications as Connect Tasks, which can be evaluated alongside work completed in Connect, providing managers with a unified application for quality management. You can programmatically ingest activities from third-party applications (such as application processing, social media posts, etc.) as completed Tasks within Connect, capturing details relevant for performance evaluation as Task attributes. Managers can then evaluate these external activities, alongside native Connect interactions to get a unified view of agent performance within Connect dashboards.\n This feature is available in all regions where Contact Lens performance evaluations are already available. To learn more, please visit our documentation and our webpage. For information about Contact Lens pricing, please visit our pricing page.

Amazon Athena is now available in Asia Pacific (Taipei)

We are excited to announce that Amazon Athena is now available in Asia Pacific (Taipei).\n Athena is a serverless, interactive query service that makes it simple to analyze petabytes of data using SQL, without requiring infrastructure setup or management. Athena is built on open-source Trino and Presto query engines, providing powerful and flexible interactive query capabilities, and supports popular data formats such as Apache Parquet and Apache Iceberg. For more information about the AWS Regions where Athena is available, see the AWS Region table. To learn more, see Amazon Athena.

Announcing Amazon EBS gp3 volumes for second-generation AWS Outposts racks

You can now use Amazon EBS General Purpose SSD volumes (gp3) volumes with the second-generation AWS Outposts racks for your workloads that require local data processing and data residency. The latest generation of gp3 enables you to provision performance independently of storage capacity, delivering a baseline performance of 3,000 IOPS and 125 MB/s at any volume size. With gp3 volumes, you can scale up to 16,000 IOPS and 1,000 MB/s, delivering 4x the maximum throughput of the previously supported gp2 volumes.\n EBS gp3 volumes on second-generation AWS Outposts are ideal for a wide variety of performance-intensive applications, including MySQL, Cassandra, virtual desktops, and Hadoop analytics clusters. AWS Outposts racks offer the same AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Second-generation AWS Outposts racks support the latest generation of x86-powered Amazon Elastic Compute Cloud (Amazon EC2) instances, starting with C7i, M7i, and R7i instances. These instances deliver twice the vCPU, memory, and network bandwidth, as well as up to 40% better performance compared to C5, M5, and R5 instances on first-generation AWS Outposts racks. You can manage gp3 volumes using the AWS Management Console, the AWS Command Line Interface (CLI), or the AWS SDKs in all Regions and countries/territories where second-generation AWS Outposts racks are supported. For more information on gp3 volumes, see the product overview page. For a current list of AWS Regions and countries/territories where second-generation AWS Outposts racks are supported, check out the AWS Outposts racks FAQs page.

AWS Control Tower adds support for AWS PrivateLink

AWS Control Tower and Control Catalog APIs now come with AWS PrivateLink support, allowing you to invoke AWS Control Tower and Control Catalog APIs from within your Amazon Virtual Private Cloud (VPC) without traversing the public internet. AWS PrivateLink provides private connectivity between virtual private clouds (VPCs), supported services and resources, and your on-premises networks, without exposing your traffic to the public internet.\n AWS Control Tower simplifies managing a secure, compliant multi-account environment within an AWS Organization. Customers enable AWS services like Config, CloudTrail, and Identity Center with AWS-recommended configurations through Control Tower, ensuring that all accounts in each Organization Unit (OU) adhere to the same baseline defined by the IT administrator. Applications running inside these accounts are governed via managed controls deployed through the Control Catalog in Control Tower, ensuring compliance with business requirements and regulatory policies on an ongoing basis. AWS PrivateLink support for AWS Control Tower is available in all AWS Regions where AWS Control Tower is available. For a full list of AWS regions where AWS Control Tower is available, see AWS Region Table. You can start deploying AWS Control Tower from the console or using AWS Control Tower APIs.

Announcing Amazon SageMaker HyperPod training operator

Today, we’re announcing general availability of Amazon SageMaker HyperPod training operator, a purpose-built Kubernetes extension for resilient foundation model training on HyperPod.\n Amazon SageMaker HyperPod empowers customers to accelerate AI model development across hundreds or thousands of GPUs with built-in resiliency, decreasing model training time by up to 40%. As training clusters expand, recovery from training interruptions becomes increasingly disruptive. Failure recovery traditionally requires a complete job restart across all nodes when even a single training process fails, resulting in additional downtime and increased costs. Moreover, identifying and resolving critical training issues such as stalled GPUs, low training throughput, and numerical instabilities, typically requires complex custom monitoring code, further extending development timelines and delaying time to market. With the HyperPod training operator, customers can further enhance training resilience for Kubernetes workloads. Instead of a full job restart when failures occur, the HyperPod training operator performs surgical recovery, selectively restarting only the affected training resources for faster recovery from faults. It also introduces a customizable hanging job monitoring capability to help overcome problematic training scenarios including stalled training batches, non-numeric loss values, and performance degradation through simple YAML configurations. Getting started is simple: create a HyperPod cluster, install the training operator add-on, optionally define custom recovery policies for hanging jobs, and launch training. This release is generally available in all AWS Regions where SageMaker HyperPod is currently supported.

See the documentation to learn more.

Amazon Connect now supports instance replication between Asia Pacific (Tokyo) and Asia Pacific (Osaka)

Amazon Connect now lets you maintain a synchronized instance in Asia Pacific (Osaka) that mirrors the channel configurations and service quotas of your Asia Pacific (Tokyo) environment. With a resiliency instance in Asia Pacific (Osaka), you can replicate your Amazon Connect configurations, such as users, routing profiles, and flows, and configure traffic distribution settings to pre-define groups of users and phone numbers to shift between Asia Pacific (Tokyo) and Asia Pacific (Osaka), enabling your resiliency instance to handle new incoming traffic after switching regions.\n To get started, you first need to set up an Amazon Connect instance in Asia Pacific (Tokyo) as your primary region. You can then create a replica instance for Amazon Connect in the Asia Pacific (Osaka) region. To learn more about Amazon Connect Global Resiliency, see the Amazon Connect Administrator Guide and Amazon Connect API Reference. To learn more about Amazon Connect, the AWS cloud-based contact center, please visit the Amazon Connect website.

ARC zonal autoshift practice now supports on-demand runs and balanced capacity pre-checks

Zonal autoshift practice runs take place once a week to ensure your application is ready for a zonal shift. Now with on-demand practice runs, you can trigger a practice run anytime you want to and validate your application’s preparedness. When a practice run is started, a pre-check will be performed to ensure your application has balanced capacity across AZs. This check is done for Application Load Balancers, Network Load Balancers, and EC2 Auto Scaling groups.\n To get started, you can initiate an on-demand practice run in the ARC console, API, or CLI. This allows you to test your application’s practice run configuration to ensure the alarms are configured correctly and your application behaves as expected. For both automated and on-demand practice, pre-checks for balanced capacity will validate your resource’s capacity and ensure it’s safe to start the practice. If the pre-check fails, you’ll be alerted, so you can take corrective action. Zonal autoshift on-demand practice runs and practice run pre-checks for balanced capacity are available in all commercial AWS Regions, and including AWS GovCloud (US) Regions. To learn more, please refer to the ARC zonal autoshift documentation.

AWS Global Accelerator now supports endpoints in two additional AWS Regions

Starting today, AWS Global Accelerator supports application endpoints in two additional AWS Regions, AWS Mexico (Central) Region and Asia Pacific (Malaysia) Region, expanding the number of supported AWS Regions to thirty one.\n AWS Global Accelerator is a service that is designed to help you improve the availability, security, and performance of your internet-facing applications. By using the congestion-free AWS network, end-user traffic to your applications benefits from increased availability, DDoS protection at the edge, and higher performance relative to the public internet. Global Accelerator provides static IP addresses that act as fixed entry endpoints for your application resources in one or more AWS Regions, such as your Application Load Balancers, Network Load Balancers, Amazon EC2 instances, or Elastic IPs. Global Accelerator continually monitors the health of your application endpoints and offers deterministic fail-over for multi-region workloads without any DNS dependencies. To get started, visit the AWS Global Accelerator website and review its documentation.

AWS B2B Data Interchange introduces splitting of inbound EDI documents

AWS B2B Data Interchange now supports splitting of inbound X12 EDI documents that contain multiple transactions into individually processed single-transaction documents. Splitting increases the maximum supported file size for multi-transaction EDI documents from 150MB to 5GB and enables independent processing of each transaction, even when trading partners send them batched in a single EDI file.\n 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 split incoming multi-transaction X12 documents up to 5GB in size. Each resulting single-transaction document is independently validated and processed, emitting its own set of logs and Amazon EventBridge events, which enables individual post-processing and downstream business-system ingestions. For example, you can use the “Transformation Completed” events to trigger AWS Glue ETL jobs to automatically ingest valid transactions into your purpose-built data lake, while using the “Transformation Failed” events to notify your trading partner of issues with individual transactions of their EDI document. Support for splitting inbound X12 EDI documents is available in all AWS Regions where the AWS B2B Data Interchange service is available. To get started with building event-driven EDI workloads on AWS B2B Data Interchange, take the self-paced workshop or refer to AWS B2B Data Interchange user guide.

Amazon Redshift Serverless now supports 4 RPU Minimum Capacity Option

Amazon Redshift now allows you to get started with Amazon Redshift Serverless with a lower data warehouse base capacity configuration of 4 Redshift Processing Units (RPUs). Amazon Redshift Serverless measures data warehouse capacity in RPUs, and you pay only for the duration of workloads you run in RPU-hours on a per-second basis. Previously, the minimum base capacity required to run Amazon Redshift Serverless was 8 RPUs. You can start using Amazon Redshift Serverless for as low as $1.50 per hour and pay only for the compute capacity your data warehouse consumes when it is active.\n Amazon Redshift Serverless enables users to run and scale analytics without managing data warehouse clusters. The new lower capacity configuration makes Amazon Redshift Serverless suitable for both production and development environments, particularly when workloads require minimal compute and memory resources. This entry-level configuration supports data warehouses with up to 32 TB of Redshift managed storage, offering a maximum of 100 columns per table and 64 GB of memory. Amazon Redshift Serverless with 4 RPU Minimum Capacity Option is generally available in the AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Mumbai), Europe (Ireland), Europe (Stockholm). To get started, see the Amazon Redshift Serverless feature page, use cases, user documentation, API Reference, and pricing.

AWS B2B Data Interchange introduces new configuration capabilities for generated EDI documents

AWS B2B Data Interchange now offers enhanced configurability for outbound X12 EDI documents. Newly introduced configurations allow you to customize format and technical fields contents of generated EDI documents to ensure compatibility with your trading partners’ requirements and minimize rejection risks.\n 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. This update enables customers to configure date and time formats, new line character usage, starting control numbers, and acknowledgement documents generation. All configurations are set at the Partnership level, ensuring all EDI documents generated for a specific trading partner consistently meet their requirements. For example, if a trading partner requires all inbound EDI documents to be formatted as a single text line, customers can configure AWS B2B Data Interchange to omit new line characters in all X12 EDI documents generated for that partner. These new configuration options for generated X12 EDI documents are available in all AWS Regions where AWS B2B Data Interchange is available. To get started with building event-driven EDI workloads on AWS B2B Data Interchange, take the self-paced workshop or refer to AWS B2B Data Interchange user guide.

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