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Amazon Bedrock AgentCore Browser now supports proxy configuration

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Amazon Bedrock AgentCore Browser now supports customer-provided proxy configuration, enabling customers to route browser sessions through their own proxy infrastructure for geo-targeting, regional content access, and compliance requirements. Organizations can access geo-restricted content, verify region-specific pricing, and validate localized application behavior across markets. Customers in regulated industries such as healthcare and financial services can route traffic through corporate proxy infrastructure to meet security policies while automating critical business processes.

Browser proxies help eliminate re-authentication cycles due to rotating IPs, while providing stable, controllable egress addresses for IP allowlisting requirements. The feature currently supports both HTTP and HTTPS protocols with secure credential management through AWS Secrets Manager. This enhancement is particularly valuable for healthcare organizations accessing portals with strict IP allowlisting, financial services companies with rigorous egress policies, and enterprises routing traffic through corporate proxy infrastructure that provides auditing and security policy enforcement.

This feature is available in all fourteen AWS Regions where Amazon Bedrock AgentCore Browser is available: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), and Europe (Stockholm).

To learn more, visit the Browser Proxies documentation .

MSK simplifies Kafka topic management with new APIs and console integration

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Amazon Managed Streaming for Apache Kafka (Amazon MSK) now offers three new APIs (CreateTopic, UpdateTopic, and DeleteTopic), making it easier to manage your Kafka topics for your MSK provisioned clusters without the need to set up and maintain Kafka admin clients. You can programmatically create, update, and delete Kafka topics using your familiar interfaces including AWS CLI, AWS SDKs, and AWS CloudFormation. With these APIs, you can define topic properties such as replication factor and partition count, along with configuration settings like retention and cleanup policies. The new APIs together with the ListTopics and DescribeTopic APIs are integrated into the Amazon MSK console, bringing all topic operstions to one place. You can now create or update topics with just a few clicks using guided defaults while gaining comprehensive visibility into topic configurations, partition-level information, and metrics.

These MSK topic management capabilities are available at no additional cost for all Amazon MSK provisioned clusters using Kafka version 3.6 and above across AWS regions where Amazon MSK is offered. To start using these features, you’ll need to set up the appropriate IAM permissions. To learn more on how to get started, see the Amazon MSK Developer Guide .

Amazon EC2 R8i and R8i-flex instances are now available in additional AWS regions

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Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the Asia Pacific (New Zealand) and Middle East (UAE) regions. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% higher performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i.

R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources.

R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, delivering exceptional performance for mission-critical SAP workloads.

To get started, sign in to the AWS Management Console . For more information about the R8i and R8i-flex instances visit the AWS News blog .

AWS announces 6 new locations for AWS Data Transfer Terminal

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AWS Data Transfer Terminal is now available in six additional locations in Seattle and Phoenix (US), London (UK), Paris (France), Sydney (Australia), and Tokyo (Japan), expanding availability alongside existing locations in San Francisco, Los Angeles, and New York City (US), and Munich (Germany). AWS Data Transfer Terminal is a secure, physical location where you can bring your storage devices and upload data to AWS including Amazon Simple Storage Service (Amazon S3), Amazon Elastic File System (Amazon EFS), and others using a high throughput network connection.

Data Transfer Terminals are ideal for customers who need to transfer large amounts of data to the AWS quickly and securely. Common use cases span various industries and applications, including video production data for processing in the media and entertainment industry, training data for Advanced Driver Assistance Systems (ADAS) in the automotive industry, migrating legacy data in the financial services industry, and uploading equipment sensor data in the industrial and agricultural sectors. Once uploaded, you can immediately leverage AWS services like Amazon Athena for analysis, Amazon SageMaker for machine learning, or Amazon Elastic Compute Cloud (Amazon EC2) for application development, reducing data processing time from weeks to minutes.

To learn more, visit the Data Transfer Terminal product page and documentation . To get started, make a reservation at your nearby Data Transfer Terminal in the AWS Console .

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