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AWS Identity and Access Management (IAM) announces a new dual-stack public endpoint, enabling customers to connect to IAM over the public internet using IPv6, IPv4, or dual-stack clients. Dual-stack support is also available when customers access the new IAM endpoint privately from their Amazon Virtual Private Cloud (VPC) using AWS PrivateLink. With simultaneous support for both IPv4 and IPv6 clients on IAM endpoint, customers can gradually transition from IPv4 to IPv6-based systems and applications. Support for dual-stack IAM endpoint is available in all commercial AWS Regions, the AWS GovCloud (US) Regions, and the China Regions. For more information about IAM dual-stack public endpoint, please see the

Amazon Bedrock Guardrails announces the general availability of image content filters - offering industry-leading text and image content safeguards that help customers block up to 88% of harmful multi modal content. This new capability removes the heavy lifting required by customers to build their own safeguards for image content or spend cycles with manual content moderation that can be error-prone and tedious. Bedrock Guardrails provides configurable safeguards to detect and block harmful content and prompt attacks, define topics to deny and disallow specific topics, redact personally identifiable information (PII) such as personal data, block specific words, along with contextual grounding checks to detect and block model hallucinations and to identify the relevance of model responses and claims, and identify, correct, and explain factual claims in model responses using Automated Reasoning checks. Guardrails

Amazon EC2 now supports up to the full EC2 instance bandwidth for inter-region VPC peering traffic and to AWS Direct Connect. Additionally, EC2 supports jumbo frames up to 8500 Bytes for cross region VPC peering. Before today, the egress bandwidth for EC2 instances was limited to 50% of the aggregate bandwidth limit for instances with 32 or more vCPUs, and 5 Gbps for smaller instances. Cross region peering supported up to 1500 bytes. Now, customers can send bandwidth from EC2 between regions or towards AWS Direct Connect at the full instance baseline specification or 5Gbps, whichever is greater and customers can use jumbo frames across regions for peered VPCs. Customers transferring data between regions or from EC2 to their on-premises network via AWS Direct Connect now have access to the full instance bandwidth capabilities. Before today, customers sending traffic to any destination not in the same region had a lower bandwidth limit. With this change, the lower limit has b

The next generation of SageMaker brings together widely adopted AWS machine learning and analytics capabilities, delivering an integrated experience with unified access to all data. Amazon SageMaker Lakehouse supports unified data access, and Amazon SageMaker Catalog, built on Amazon DataZone, offers catalog and governance features to meet enterprise security needs. Amazon SageMaker Catalog now supports metadata rules, allowing organizations to enforce metadata standards across data publishing and subscription workflows. By standardizing metadata practices, organizations can improve compliance, enhance audit readiness, and streamline access workflows for greater efficiency and control. With metadata rules, domain owners can define mandatory metadata fields that data users must complete when publishing assets to the catalog or requesting access to data. For example, a financial services organization can

Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and third-party sources. Amazon DataZone now supports metadata rules for data publishing workflows, in addition to existing support for subscription workflows. This enhancement allows organizations to enforce metadata standards consistently across both producer and consumer workflows. By standardizing metadata practices, organizations can improve compliance, enhance audit readiness, and streamline workflows for greater efficiency and control. With metadata rules, domain owners can define mandatory metadata fields that data users must complete when publishing assets to the catalog or requesting access to data. For example, a financial services organization can require producers to classify data before publication, and consumers to provide project d

You can now use AWS PrivateLink to privately access Amazon ElastiCache from your Amazon Virtual Private Cloud (Amazon VPC). 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. The Amazon ElastiCache API supports AWS PrivateLink in AWS Asia Pacific (Jakarta) and Asia Pacific (Hyderabad) Regions. 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

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS US West (N. California) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8g instances are available in AWS Asia Pacific (Tokyo) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 C8g instances are built for compute-intensive workloads, such as high performance computing (HPC), batch processing, gaming, video encoding, scientific modeling, distributed analytics, CPU-based machine learning (ML) inference, and ad serving. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. These instances offer larger instance sizes wit

Starting today, you can build, train, and deploy machine learning (ML) models in Mexico (Central). Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. To learn more and get started, see SageMaker AI documentation and pricing page.  

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (Thailand). Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. To learn more and get started, see SageMaker AI documentation and pricing page.