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Amazon RDS now supports Internet Protocol version 6 (IPv6) for VPC endpoints of RDS Service APIs, in addition to the existing IPv6 support for public endpoints. This allows you to configure dual-stack (IPv4 and IPv6) connectivity to access RDS Service APIs directly from within your VPC without internet traversal. IPv6 provides an expanded address space, enabling you to scale your application on AWS beyond the limitations of IPv4 addresses. With IPv6, you can assign easy to manage contiguous IP ranges to micro-services and can get virtually unlimited scale for your applications. Moreover, with support for both IPv4 and IPv6, you can gradually transition applications from IPv4 to IPv6, enabling safer migration. This feature is available in all commercial AWS regions and AWS GovCloud (US) regions. Get started with

Today, Amazon SageMaker announced a new capability allowing you to establish connectivity between your Amazon Virtual Private Cloud (VPC) and Amazon SageMaker Unified Studio without customer data traffic going through the public internet. Customers needing to go beyond the standard data transfer protocol (HTTPS/TLS2) can choose to configure their VPC so data transfer stays within the AWS network. Through AWS PrivateLink, Network Administrators can now onboard AWS service endpoints to their VPC used by Amazon SageMaker Unified Studio. With the endpoints are onboarded, IAM policies used by Amazon SageMaker will enforce that customer data stay within the AWS network. Amazon SageMaker private access using AWS PrivateLink is available in all AWS Regions where Amazon SageMaker Unified Stu

AWS Lambda launches enhanced observability for Kafka event source mappings (ESM) that provides Amazon CloudWatch Logs and metrics to monitor event polling setup, scaling, and processing state of Kafka events. This capability allows customers to quickly diagnose setup issues and take timely corrective actions to operate resilient data streaming workloads. This capability is available for both Amazon Managed Streaming for Apache Kafka (Amazon MSK) and self-managed Apache Kafka (SMK) event source mappings. Customers use Kafka event source mappings (ESM) with their Lambda functions to build mission-critical applications. However, the lack of visibility into event polling setup, scaling, and processing state for events slows down troubleshooting for issues resulting from faulty permissions, misconfiguration, or function errors, which increases mean time to resolution and adds operational overhead. With this launch, customers can enable CloudWatch Logs an

Amazon Elastic Container Service (Amazon ECS) now publishes container health status as a new metric in CloudWatch Container Insights with enhanced observability. Customers can now track the operational health of their containers through a dedicated CloudWatch metric and create alarms to respond proactively to unhealthy containers. When customers configure a container health check in the container definition of an ECS task definition, Container Insights now publishes the UnHealthyContainerHealthStatus metric in the ECS/ContainerInsights namespace. The metric reports 0 for HEALTHY and 1 for UNHEALTHY. Container health state information is also available in embedded metric format (EMF) logs, providing additional context while health checks are being evaluated during the UNKNOWN state. The metric is available across cluster, service, task, and container-level dimensions, enabling customers to monitor health at their pref

Today, AWS announces the launch of Partner Revenue Measurement, a new capability that gives AWS Partners visibility into how their solutions impact AWS service consumption across partner-managed and customer-managed accounts. Partner Revenue Measurement allows Partners to better understand their AWS revenue impact and product consumption patterns. Partners can now tag AWS resources using the product code from their AWS Marketplace listing with tag key: aws-apn-id and tag value: pc:<AWS Marketplace product-code> to quantify and measure the AWS revenue impact of that solution. Partner Revenue Measurement is generally available in all commercial regions. To learn more about implementing Partner Revenue Measurement, review the onboarding guide for more information.

Starting today, Amazon EC2 R8a instances are now available in Europe (Spain) and Europe (Frankfurt) Regions. These instances, feature 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to R7a instances. R8a instances deliver 45% more memory bandwidth compared to R7a instances, making these instances ideal for latency sensitive workloads. Compared to Amazon EC2 R7a instances, R8a instances provide up to 60% faster performance for GroovyJVM, allowing higher request throughput and better response times for business-critical applications. Built on the AWS Nitro System using sixth generation Nitro Cards, R8a instances are ideal for high performance, memory-intensive workloads, such as SQL and NoSQL databases, distributed web scale in-memory caches, in-memory databases, real-time bi

Amazon RDS for Oracle now supports cross-Region replicas with additional storage volumes. With additional storage volumes, customers can add up to three storage volumes, each with up to 64 TiB, in addition to the primary storage volume for their database instance. As a result, customers get flexibility to add or remove storage with evolving workload demands, without incurring application downtime, and set up their database instance with up to 256 TiB storage. Now, with support for cross-Region replicas, customers that set up database instances with cross-Region replicas for business-critical applications also get the benefit of using additional storage volumes for storage flexibility. When you create a cross-Region replica for a database instance that is set up with additional storage volumes, Amazon RDS for Oracle automatically configures the same storage layout on the replica. Subsequently, you can apply changes to addition

Starting today, Amazon GameLift Streams provides streaming capabilities in six new locations - eu-west-2 (London), eu-north-1 (Stockholm), sa-east-1 (São Paulo), ap-south-1 (Mumbai), ap-northeast-2 (Seoul), and ap-southeast-2 (Sydney) for all customers. New streaming locations enable customers to provide low latency streaming experiences to their players in Europe, South America, India, and Asia regions. Additionally, these locations increase overall GPU availability, enabling customers to scale their streaming services more effectively. The service supports all stream classes in these new regions. To get started, customers need to edit Location and capacity configurations to add new locations to their new or existing stream groups via console or CLI. For more details, see Amazon GameLift Streams developer guide: AWS Regions and remote loc

Amazon EventBridge increases event payload size from 256 KB to 1 MB, enabling developers to ingest richer, complex payloads for their event-driven workloads without the need to split, compress, or externalize data. Amazon EventBridge is a serverless event router that enables you to create scalable event-driven applications by routing events between your applications, third-party SaaS applications, and AWS services. These applications often need to process rich contextual data, including large-language model prompts, telemetry signals, and complex JSON structures for machine learning outputs. The new 1MB payload support in EventBridge Event Buses enables developers to streamline their architectures by including comprehensive data in a single event, reducing the need for complex data chunking or external storage solutions. This feature is available in all commercial AWS Regions where Amazon EventBridge is offered, exc

Amazon Bedrock now supports server-side tools in the Responses API using OpenAI API-compatible service endpoints. Bedrock already supports client-side tool use with the Converse, Chat Completions, and Responses APIs. Now, with the launch of server-side tool use for Responses API, Amazon Bedrock calls the tools directly without going through a client, enabling your AI applications to perform real-time, multi-step actions such as searching the web, executing code, and updating databases within the organizational, governance, compliance, and security boundaries of your AWS accounts. You can either submit your own custom Lambda function to run custom tools or use AWS-provided tools, such as notes and tasks. Server-side tools using the Responses API is available starting today with OpenAI's GPT OSS 20B/120B models in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Tokyo), Asia Pacific (Mumbai), South America (São Paulo), Europe (Ireland), Europe (London),