Gaggione is highlighting adjustable beam optics for its Sirius range of LED optics. The zoom function is to allow switching between narrow and wide light distributions.   For Sirius, there …

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AWS Data Exports now enables customers to distinguish between Amazon Bedrock operation types in their cost reports for enhanced cost analysis and optimization. This granular operation information is available in Cost and Usage Reports (CUR), CUR 2.0, and Data Exports for FOCUS, and is particularly valuable for FinOps teams, cost optimization professionals, and organizations using Amazon Bedrock that require detailed billing analysis.

Customers will now see specific operation types such as “InvokeModelInference” and “InvokeModelStreamingInference” in their cost reports, replacing generic “Usage” labels. These granular operation types appear in the “line_item_operation” column in Legacy CUR and CUR 2.0 reports, the “x_Operation” column in FOCUS reports, and AWS Cost Explorer API Operation dimension values. This visibility now extends to all foundation models on Amazon Bedrock, enabling precise tracking of usage patterns and cost optimization opportunities across all model providers.

To learn more about AWS Billing and Cost Management, visit the AWS Billing and Cost Management documentation , and for AWS Data Exports, visit the AWS Data Exports documentation . To get started with Amazon Bedrock, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.

Amazon Elastic Block Store (EBS) now supports up to four Elastic Volumes modifications per volume within a rolling 24-hour window. Elastic Volumes modifications allow you to increase the size, change the type, and adjust the performance of your EBS volumes. With this update, you can start a new modification immediately after the previous one completes, as long as you have initiated fewer than four modifications in the past 24 hours.

This enhancement improves your operational agility to immediately scale storage capacity or adjust performance in response to sudden data growth or unanticipated workload spikes. With Elastic Volumes modifications, you can modify your volumes without detaching them or restarting your instances, allowing your application to continue running with minimal performance impact.

This feature is available in all commercial AWS Regions, the AWS GovCloud (US) Regions, and the China Regions. This capability is automatically enabled without requiring changes to your existing workflows. To learn more, see Modify an Amazon EBS volume using Elastic Volumes operations  in the Amazon EBS User Guide.

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports the latest General Distribution Release (GDR) updates for Microsoft SQL Server. This release includes support for Microsoft SQL Server 2016 SP3+GDR KB5068401 (RDS version 13.00.6475.1.v1), SQL Server 2017 CU31+GDR KB5068402 (RDS version 14.00.3515.1.v1), SQL Server 2019 CU32+GDR KB5068404 (RDS version 15.00.4455.2.v1) and SQL Server 2022 CU22 KB5068450 (RDS version 16.00.4225.2.v1).

The GDR updates address vulnerabilities described in CVE-2025-59499. For additional information on the improvements and fixes included in these updates, see Microsoft documentation for KB5068401, KB5068402, KB5068404, KB5068450. We recommend that you upgrade your Amazon RDS for SQL Server instances to apply these updates using Amazon RDS Management Console, or by using the AWS SDK or CLI. You can learn more about upgrading your database instance in the Amazon RDS SQL Server User Guide for upgrading your RDS Microsoft SQL Server DB engine .

AWS Lambda now supports cross-account access for Amazon DynamoDB Streams event-source mappings (ESMs), enabling you to trigger Lambda functions in one account from DynamoDB Streams in another account.

Customers build event-driven applications using Lambda’s fully-managed DynamoDB Streams ESMs, which poll change events from DynamoDB tables and trigger your Lambda functions. Organizations implementing multi-account architectures—whether to centralize event processing or share events with partner teams—previously needed to build complex data replication solutions to share data across accounts, which added operational overhead. With this launch, you can now provide cross-account access to your DynamoDB Streams to trigger Lambda functions in another account. By setting a resource-based policy on your DynamoDB stream, you can enable a Lambda function in one account to access a DynamoDB stream in another account. This capability allows you to simplify your streaming applications across accounts without the overhead of replication solutions in each account.

This feature is generally available in all AWS Commercial and AWS GovCloud (US) Regions . You can enable cross-account Lambda triggers by creating resource-based policies for your DynamoDB Streams using the AWS Management Console, AWS CLI, AWS SDKs, AWS CloudFormation, or AWS APIs. To learn more, read Lambda ESM documentation . 

Amazon Web Services (AWS) is announcing the general availability of Amazon EC2 X8i instances, next-generation memory optimized instances powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.4x more memory bandwidth compared to previous generation X2i instances.

X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options.

X8i instances are available in the following AWS Regions : US East (N. Virginia), US East (Ohio), US West (Oregon), and Europe (Frankfurt).

To get started, visit the AWS Management Console . X8i instances can be purchased via Savings Plans, On-Demand instances, and Spot instances. For more information visit X8i instances page .

AWS Clean Rooms announces support for parameters in PySpark analysis templates, offering increased flexibility for organizations and their partners to scale their privacy-enhanced data collaboration use cases. With this launch, you can create a single PySpark analysis template that allows different values to be provided by the Clean Rooms collaborator running a job at submission time without modifying the template code. With parameters in PySpark analysis templates, the code author creates a PySpark template with parameters support, and if approved to run, the job runner submits parameter values directly to the PySpark job. For example, a measurement company running attribution analysis for advertising campaigns can input time windows and geographic regions dynamically to surface insights that drive campaign optimizations and media planning accelerating time-to-insights.

With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms .

Amazon Aurora PostgreSQL, Amazon Aurora DSQL, and Amazon DynamoDB serverless databases are now available on v0 by Vercel, an AI-powered tool that transforms your ideas into production-ready, full-stack web applications in minutes. With this launch, you can build your ideas as well as create and connect to AWS databases from v0 using natural language prompts.

To get started, simply describe what you want to build in v0. The tool takes care of developing the frontend user interface and backend logic, storing your application data in the AWS database that best meets your application needs. v0 provides an end-to-end setup experience where you can choose and configure database resources under a new AWS account or link to an existing account, all without leaving v0 interface. New AWS accounts from Vercel include access to all three databases and $100 USD in credits that can be used with any of the database options for up to six months. You can also manage your plan, add payment information, and view usage details anytime by visiting the AWS settings portal from the Vercel dashboard. To learn more, visit v0 or the AWS landing page on the Vercel Marketplace.

The serverless options for Amazon Aurora PostgreSQL , Amazon Aurora DSQL , and Amazon DynamoDB do not require infrastructure management and reduce costs by scaling down to zero automatically when not in use. You can create a database in the following AWS Regions : US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Ireland), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Mumbai).

AWS Databases deliver security, reliability, and price performance without the operational overhead, whether you’re prototyping your next big idea or running production AI and data driven applications. For more information, visit the AWS Databases webpage.

Amazon S3 on Outposts is now available on second-generation AWS Outposts racks for your data residency, low latency, and local data processing use cases on-premises. S3 on Outposts on second-generation Outposts racks offers three storage tiers: 196 TB, 490 TB, and 786 TB. Choose the storage tier that matches your workload, whether for production workloads, backups, or archival workloads.

With S3 on Outposts, you can store, secure, retrieve, and control access to your data using familiar S3 APIs and features. AWS Outposts is a fully managed service that extends AWS infrastructure, services, and tools to virtually any data center, co-location space, or on-premises facility for a consistent hybrid experience.

S3 on Outposts on second-generation Outposts racks is available in all AWS Regions and countries/territories where these racks are available . To learn more, visit the S3 on Outposts page or read our documentation .

Amazon S3 Storage Lens provides organization-wide visibility into your storage usage and activity. S3 Storage Lens is now available in AWS GovCloud (US) Regions, bringing metrics to help you optimize storage costs, identify data protection opportunities, and improve application performance.

S3 Storage Lens provides a single view of object storage usage and activity across thousands of accounts in an organization, with drill-downs to generate insights at multiple aggregation levels. You can optimize storage costs by identifying prefixes with incomplete multipart uploads or buckets accumulating non-current object versions. You can identify buckets that don’t follow your data protection best practices, such as using S3 Cross-Region Replication to replicate data across AWS Regions or S3 Versioning to keep multiple versions of an object. With the newly added performance metrics, you can identify application performance constraints—for example, using request and object size distribution metrics to detect inefficient access patterns or tracking cross-Region data transfer to reduce latency and costs.

Amazon S3 Storage Lens is available in all AWS Regions. S3 Storage Lens is pre-configured to receive free metrics by default for all customers and 14 days of historical data. For more detailed visibility with up to 15 months data retention, you can upgrade to S3 Storage Lens advanced metrics. To learn more about S3 Storage Lens metrics, including free and advanced metrics, refer to the documentation . For S3 Storage Lens Advanced pricing details, visit the Amazon S3 pricing page .