Amazon CloudFront announces Passthrough Mode for mutual TLS (Viewer)

Amazon CloudFront now supports passthrough mode for viewer mutual TLS (mTLS) authentication, enabling customers to forward client certificates to their origin for validation without requiring CloudFront to perform certificate verification. Passthrough mode allows customers with existing mTLS implementations at their origins to use CloudFront without requiring to implement their validation logic at the edge.
CloudFront viewer mTLS already supports required mode and optional mode, which offload client certificate authentication to CloudFront using trust stores. Passthrough mode is designed for customers to maintain their existing mTLS validation infrastructure at their origin without requiring any trust store configuration on CloudFront. In passthrough mode, CloudFront forwards every request to the origin along with the client’s full certificate chain. Caching is not performed, ensuring each request is authenticated end-to-end by your origin. Connection functions which allow you to inspect or transform connection-level data are still invoked, enabling you to process certificate data before it reaches the origin.
CloudFront Mutual TLS (viewer) in passthrough mode is available at no additional cost. To learn more, refer to the documentation for CloudFront Mutual TLS (Viewer). 
Quelle: aws.amazon.com

Amazon CloudFront announces support for OCSP Revocation for Mutual TLS (Viewer)

Amazon CloudFront now supports Online Certificate Status Protocol (OCSP) revocation checking for viewer mTLS, enabling you to validate client certificate revocation status in real time during connection establishment. This enables customers using mutual TLS (mTLS) on CloudFront  to verify that client certificates haven’t been revoked before accepting connections—a common requirement for regulated industries and zero-trust architectures.
Previously, customers implemented certificate revocation using CloudFront Functions and KeyValueStore, maintaining static revocation lists that were only as current as the last manual update. With OCSP, CloudFront queries the responder URL embedded in the client certificate at connection time, validating revocation status directly with the issuing Certificate Authority. CloudFront caches OCSP responses for up to 30 minutes to minimize latency impact on subsequent connections. The OCSP result is exposed in the connection function, enabling customers to implement custom logic—such as grace periods for certificate rotation, IP-based exceptions, or combining OCSP with their own revocation lists.
OCSP revocation checking for viewer mTLS is available at no additional cost. To learn more, refer to the documentation for CloudFront Mutual TLS (Viewer).
Quelle: aws.amazon.com

ARC Region switch adds Lambda event source mapping execution block for event handling during failover

Amazon Application Recovery Controller (ARC) Region Switch helps customers orchestrate the failover of their multi-Region applications to achieve a bounded recovery time in the event of a Regional impairment. Today, we are announcing the Lambda event source mapping execution block, which automates the coordinated failover of event streams for multi-Region workloads. Customers running event-driven architectures use Lambda functions with event source mappings to process event streams from Kinesis, DynamoDB Streams, MSK, or SQS. For active-passive workloads, customers may maintain Lambda functions in each Region but process events in only one Region at a time. These event source mappings must be toggled during failover to avoid duplicate processing—a manual, error-prone step. The Lambda event source mapping execution block automates this by enabling or disabling event source mappings in either the activating or deactivating Region. To control duplicate processing, customers can configure two Lambda event source mapping execution blocks in sequence: a disable block to stop event processing in the deactivating Region, and an enable block to start it in the activating Region. The disable block can be overridden by running the plan in “ungraceful” mode for unplanned failovers where the deactivating Region may be impaired. Native cross-account support enables a single plan to handle event stream failover across multiple accounts. To get started, see the Lambda event source mapping execution block documentation. ARC Region switch is available in all commercial Regions. See ARC Region switch availability
Quelle: aws.amazon.com

Amazon Aurora DSQL now supports change data capture (Preview)

Amazon Aurora DSQL introduces support for change data capture (CDC) in preview, enabling you to stream real-time database changes directly to Amazon Kinesis Data Streams. This fully managed capability removes the need to build or maintain custom streaming pipelines, making it easier to build event-driven applications, power real-time analytics pipelines, and synchronize data across systems. Aurora DSQL automatically captures the result of insert, update, and delete operations as change events. You can use these events to synchronize data across microservices, trigger downstream processing with AWS Lambda, or deliver to Amazon S3, Amazon Redshift, and Amazon OpenSearch Service through Amazon Data Firehose for analytics. CDC streaming requires no infrastructure setup and is designed to have zero impact on your database workload, so you can stream changes without affecting database throughput or latency. CDC streaming in preview is available in all AWS Regions where Aurora DSQL is available. Streams are billed using Distributed Processing Units (DPUs) based on the volume of data captured, with standard Amazon Kinesis Data Streams pricing applying separately. To learn more, read the blog and see getting started.
Quelle: aws.amazon.com

AWS Transform agents now available in Kiro, Claude, Cursor, and Codex

Today, AWS announces that the AWS Transform agents — built on decades of AWS migration and modernization experience — are now accessible through a Kiro power, agent plugins, and via the AWS Transform MCP server. Developers can now consume all of AWS Transform’s capabilities directly from their preferred development environment, whether working interactively in an agentic IDE, managing jobs through the web console, or integrating programmatically via MCP.
This launch gives builders flexibility to choose the surface that fits their workflow while gaining the depth of transformation expertise behind the AWS Transform agents for Windows, VMware, mainframe and more. A developer can start a transformation in their agentic IDE, monitor progress and collaborate in the web console, then see results back in their IDE — all against the same underlying job with consistent state. Additionally, AWS Transform now supports IAM role authentication. Customers who start using AWS Transform in their IDE or the web app can use their existing AWS credentials to create a Transform environment, workspace, and transformation job.
The agent plugin and MCP are available on GitHub, and the Kiro Power within the Kiro marketplace. To learn more, see https://aws.amazon.com/transform.
Quelle: aws.amazon.com