AWS Network Load Balancer is now available in the AWS Phoenix Local Zone

AWS Network Load Balancer is now available in the Phoenix Local Zone (us-west-2-phx-2a). AWS Local Zones is a type of AWS infrastructure deployment that places AWS compute, storage, database, and other select services closer to large population, industry, and IT centers where no AWS Region exists today.
With this launch, you can create an AWS Network Load Balancer directly in the Phoenix Local Zone. Previously, if your targets ran in the Phoenix Local Zone, you had to place the load balancer in an Availability Zone in the parent Region, so connections and their traffic had to travel to the parent Region and back. This added latency and routed traffic outside the zone where your application runs. Now, connection routing stays local to your targets, delivering lower and more consistent latency to end users in the Phoenix metro area and keeping traffic within the Local Zone. This is especially valuable for latency-sensitive workloads such as real-time gaming, media streaming, and live financial applications serving users in the region.
To learn more about Network Load Balancer, visit the documentation. For more information on AWS Local Zones, visit the AWS Local Zones website. The Locations webpage lists the available and announced Local Zones. You can enable AWS Local Zones from the Local Zones tab in the AWS Global View console, or the ModifyAvailabilityZoneGroup API.
Quelle: aws.amazon.com

Announcing Web Answer on Amazon Bedrock AgentCore

Today, we are announcing the general availability of Web Answer on Amazon Bedrock AgentCore. Web Answer is a managed tool that returns a synthesized, grounded, cited answer to a natural-language question in a single call, so agent builders can attach it to an agent and get back a finished answer grounded in current web sources, without building and maintaining their own search, retrieve, synthesis, and citation pipeline. 
Web Answer builds on Web Search on Amazon Bedrock AgentCore, which launched in June, extending it from “find the web content” to “return the finished answer,” a capability customers have been asking for. With Web Answer, your agent sends a question and receives a synthesized cited answer in one tool call. Web Answer works like an agent; it plans its own searches, runs several in parallel, and decides when it has gathered enough evidence to answer. You stay in control of the boundaries, with domain include, deny lists and publish-date filters that scope where it looks. It attaches as a target on an AgentCore Gateway and is called over MCP, authenticated with IAM, with zero data egress. 
Web Answer is available in the US East (N. Virginia) Region, with per-tool call pricing. 
To learn more about Web Answer on Amazon Bedrock AgentCore, see Web Answer’s documentation page and Web Answer’s website. For Region availability, see the AWS Region table. 
Quelle: aws.amazon.com

AWS Interconnect – last mile announces new metro in Northern Virginia, USA

Today, AWS announced a new AWS Interconnect – last mile metro in Northern Virginia, USA. Northern Virginia joins New York as the second metro where you can connect your data center, branch office, or colocation facility to AWS. 
AWS Interconnect – last mile gives you managed, private, resilient connections to AWS, so you don’t have to order cross-connects or configure routers. Every connection is provisioned by default across two physically diverse locations with four redundant links, providing maximum resilience out of the box and backed by a 99.99% availability SLA up to the Direct Connect port. Traffic between AWS and partner edge devices is encrypted with MACsec by default.
Lumen customers anywhere in the continental United States can order generally available connections through the Northern Virginia metro to reach all public AWS Regions (except those in China) and AWS Local Zones. AWS Interconnect – last mile is also available in preview through Megaport and Equinix in the Northern Virginia metro. You can create connections using the AWS Management Console, AWS CLI, or AWS Interconnect API. For pricing, see AWS Interconnect – last mile pricing.
Quelle: aws.amazon.com

AWS Security Hub now provides an SBOM inventory for your compute resources

Today, AWS announces that AWS Security Hub now provides a Software Bill of Materials (SBOM) inventory, giving central security teams a continuously updated, organization-wide view of the software packages and applications installed on their compute resources.
Security Hub builds the inventory from the SBOMs that Amazon Inspector generates for Amazon EC2 instances, Amazon ECR container images, and AWS Lambda functions, with no additional configuration. The SBOM page lists each package with its version, type, and the number of resources where it is installed. You can filter and group the list by package attributes, account, and region. On the resource detail page, the Installed software tab lists every package on that resource, so you can judge its function and criticality while triaging any finding. You can also query the inventory through the Security Hub API.
The SBOM inventory is included with Security Hub Essentials at no additional cost. It requires no new enablement and populates automatically where Amazon Inspector is enabled. It is available in all AWS Regions where Security Hub is available. To learn more, see the AWS Security Hub User Guide and the AWS Security Hub product page.
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Amazon MWAA now supports cost allocation tags

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) now supports cost allocation tags. Tags you apply to an Amazon MWAA environment now propagate to the compute that runs it, including workers, schedulers, and web servers. You can then track Amazon MWAA spend by tag in AWS Cost Explorer and AWS Cost and Usage Reports.
With this launch, platform teams can show back or charge back Airflow costs to the team, project, or cost center that owns each environment. You can use cost allocation tags when you create a new environment or update an existing one. To get started, tag your environment using the Amazon MWAA console, AWS CLI, or Amazon MWAA API, then activate the tag key as a cost allocation tag in the AWS Billing and Cost Management console.
This feature is available in all AWS Regions where Amazon MWAA is available. For more information, see the AWS Region table. To learn more, visit Cost allocation tags in Amazon MWAA in the Amazon MWAA User Guide.
Quelle: aws.amazon.com

Amazon SageMaker AI Studio Now Supports IAM Identity Center Multi-Region Replication

Amazon SageMaker AI now supports IAM Identity Center (IdC) multi-region replication, enabling you to deploy SageMaker AI Studio domains in different regions from your IdC instance’s primary region. Previously, the primary IdC instance had to reside in the same region as the SageMaker AI Studio domain; now customers can replicate their primary IdC instance into the region where they wish to use SageMaker AI Studio domains. This capability helps customers maintain compliance while utilizing centralized workforce identity management.
As an Amazon SageMaker AI Studio administrator, you can deploy SageMaker AI domains that align with your workforce’s location and data residency requirements, independent of where your primary IdC instance is set up. Organizations can retain their primary IdC instance in one region while operating SageMaker AI Studio workloads in compliance-mandated regions, support global operations through centralized identity management, and satisfy data sovereignty requirements without compromising single sign-on (SSO) capabilities.
To get started see the SageMaker AI documentation and to learn about setting up IAM Identity Center multi-region support see the IAM Identity Center User Guide.
Multi-region IdC replication is available in all standard AWS Regions where Amazon SageMaker AI Studio is supported, including: Asia Pacific (Tokyo), Europe (Ireland), US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), South America (São Paulo), Asia Pacific (Seoul), Europe (London), Asia Pacific (Singapore), Asia Pacific (Sydney), Canada (Central), Asia Pacific (Mumbai), Europe (Paris), Europe (Stockholm).
Quelle: aws.amazon.com

IAM Roles Anywhere now supports automatic certificate revocation checking

AWS Identity and Access Management (IAM) Roles Anywhere now supports automatic revocation checking using certificate revocation list (CRL) distribution points (CDPs). This helps keep revocation checks in sync with your certificate authority (CA) and can help improve your security posture. When you enable this capability on a trust anchor, IAM Roles Anywhere reads the CDP URLs embedded in authenticating certificates, downloads the corresponding CRLs, and denies credential requests that use revoked certificates.
Previously, to check revocation status, you had to import CRLs into IAM Roles Anywhere and re-import them each time your CA published an update, which added operational overhead. With this launch, IAM Roles Anywhere downloads CRLs from your CDPs and refreshes them periodically, so you no longer need to re-import them. You can use this capability with AWS Private Certificate Authority or your own public key infrastructure (PKI), provided your certificates include publicly accessible CDP URLs that meet the distribution point requirements. To enable it on a trust anchor, use the IAM Roles Anywhere console, AWS SDKs, or AWS CLI.
This feature is available at no additional cost in all commercial AWS Regions. To learn more, see Automatic revocation checking with CRL distribution points in the IAM Roles Anywhere User Guide.
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Amazon Cognito announces 99.99% Service Level Agreement for the Plus feature plan

Starting November 1, 2026, the Amazon Cognito Service Level Agreement (SLA) commits to a Monthly Uptime Percentage of 99.99% for user pools on the Plus feature plan, up from 99.9%. User pools already on Plus are automatically covered by the new Service Commitment. User pools on Essentials and Lite stay at the 99.9% Service Commitment with no change to their terms.
To qualify for the 99.99% Service Commitment, you can switch a user pool to the Plus feature plan using the AWS Management Console, AWS Command Line Interface (CLI), or AWS Software Development Kits (SDKs). The Plus feature plan also includes threat protection features such as adaptive authentication, compromised credentials detection, and threat and user activity logging and export.
For full terms and exclusions, see the Amazon Cognito SLA. To learn more about feature plans, see user pool feature plans.    
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Amazon Connect Customer now shows associated cases in contact records

Amazon Connect Customer now includes case IDs and reference numbers in contact records, helping supervisors and analysts understand which customer issues drive contact volume. Cases track issues, such as refund requests or billing disputes, across interactions and teams. Supervisors can now identify the cases associated with an interaction directly on the Contact Details page without searching individual cases. Analysts can access the same information through the DescribeContact API and contact event streams to measure the number of interactions per case.
Cases is available in the following AWS regions: US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt), Europe (London), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Africa (Cape Town). To learn more and get started, visit the Cases webpage and documentation.
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Amazon DocumentDB (with MongoDB compatibility) is now available in the Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions

Amazon DocumentDB (with MongoDB compatibility) is now available in the Asia Pacific (Taipei) and Asia Pacific (New Zealand) Regions, adding to the list of available Regions where you can use Amazon DocumentDB.
Amazon DocumentDB is a fully managed, native JSON database that makes it simple and cost-effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB is designed to give you the scalability and durability you need when operating mission-critical MongoDB workloads. Storage scales automatically up to 128 TiB without any impact to your application. In addition, Amazon DocumentDB natively integrates with Amazon CloudWatch, AWS CloudTrail, AWS Lambda, AWS Backup, and more. Amazon DocumentDB supports millions of requests per second and can be scaled out to 15 low-latency read replicas in minutes with no application downtime.
To learn more about Amazon DocumentDB, please visit the Amazon DocumentDB product page and pricing page. You can create an Amazon DocumentDB cluster from the AWS Management Console, AWS Command Line Interface (CLI), or AWS SDKs.
Quelle: aws.amazon.com