Schlagwort: cloud computing

Amazon S3 Access Points for Amazon FSx are now available in additional AWS Regions

You can now attach Amazon S3 Access Points to your Amazon FSx for NetApp ONTAP file systems in 4 additional AWS Regions, and to your Amazon FSx for OpenZFS file systems in 20 additional AWS Regions. With this capability, your file data in Amazon FSx is accessible for use with the broad range of artificial intelligence, machine learning, and analytics services and applications that work with S3, while your data continues to reside on your FSx file system.
An S3 Access Point for Amazon FSx is an S3 endpoint that gives S3-based applications and services access to the data on your FSx file system through the Amazon S3 API, without copying or moving that data. For example, you can connect generative AI applications and agents to your file data with Amazon Bedrock Knowledge Bases so they deliver relevant, contextual responses. Users can query the same data in place with Amazon Athena or transform it with AWS Glue, and you can share files with partners over SFTP, FTPS, and FTP using AWS Transfer Family. You can also access your files from serverless compute such as Amazon ECS and AWS Fargate, or from your own S3-based applications.
Amazon S3 Access Points for FSx for ONTAP and FSx for OpenZFS are now available in additional AWS Regions across North America, South America, Europe, Asia Pacific, and Africa. For the full list of AWS Regions supported for each file system, see the FSx for ONTAP and FSx for OpenZFS user guides. Get started by creating and attaching S3 Access Points using the Amazon FSx console, the AWS Command Line Interface (AWS CLI), or the AWS Software Development Kit (AWS SDK). To learn more, visit the Amazon FSx for NetApp ONTAP and Amazon FSx for OpenZFS product pages, the Amazon S3 Access Points page, and the FSx for ONTAP and OpenZFS user guides.
Quelle: aws.amazon.com

Amazon Athena introduces system tables for observability, auditing, and usage analytics

Amazon Athena now offers system tables which automatically capture your usage data and make it available for observability, usage analysis, and audit use cases. When you enable system tables, usage data is available within minutes of query completion across your workgroups and stored as service-managed, read-only Iceberg tables on Amazon S3 Tables with configurable retention. You can query it directly with Athena, while AWS manages the tables for you, including schema definition, partitioning, compaction, and snapshot maintenance, removing all operational burden.
Athena provides usage data through APIs like GetQueryExecution, CloudWatch metrics, and CloudTrail logs. With this launch, usage data is also available as iceberg tables that you can search, filter, aggregate, and join directly without building or maintaining custom pipelines. Platform teams can query the query_executions table to build cost allocation dashboards that show data scanned by workgroup, by user, or by table using simple SQL statements, and without custom ETL. Additionally, the AWS Agent Toolkit provides skills for querying system tables to surface usage patterns and optimization recommendations. Because the data is stored in the open Apache Iceberg format, you can also query it with DuckDB, Amazon Redshift, Amazon EMR or any other Iceberg-compatible engine.
Athena system tables are available in all AWS Regions where Athena and Amazon S3 Tables are available. To get started, enable system tables from the Athena console or API. To learn more, visit the Amazon Athena documentation or the  blog.
Quelle: aws.amazon.com

Amazon Bedrock now offers Claude Mythos 5.2 to Eligible Customers in AWS GovCloud (US)

Amazon Bedrock, the platform for building generative AI applications and agents at production scale, now offers Claude Mythos 5.2 to eligible customers in AWS GovCloud (US). Claude Mythos 5.2 is Anthropic’s most advanced AI model to date for use cases across cybersecurity, software coding, and complex reasoning tasks. The model can identify sophisticated security vulnerabilities in software and demonstrate exploitability. It can also comprehend large codebases and deliver actionable findings with less manual guidance than previous AI models. This enables security teams to accelerate defensive cybersecurity work, find and fix security vulnerabilities in the world’s most critical software, and address them before threats emerge. Claude Mythos 5.2 is the first of Anthropic’s AI models with powerful cybersecurity capabilities to be available in AWS GovCloud (US).
Claude Mythos 5.2 is available to eligible customers in AWS GovCloud (US) Regions through Amazon Bedrock. Access is limited to allow-listed organizations; to get started, visit Anthropic’s Cyber Verification Program. 
Quelle: aws.amazon.com

Claude Fable 5.2 is now available on AWS GovCloud (US)

Claude Fable 5.2 is now available on AWS GovCloud (US) and brings Anthropic’s most capable generally available model for technical work to regulated customers. Fable 5.2 sets a new standard on the hardest projects in coding, math, and science, and Anthropic recommends it for fields like software engineering, scientific research, and finance, where judgment, iteration, and accuracy are critical. Claude Mythos 5.2, the same underlying model as Claude Fable 5.2, with its full cyber and bio capabilities retained for cybersecurity and biology research, is available through Anthropic’s verification programs.
Claude Fable 5.2 can work for hours and up to days unattended, driving autonomous work and taking on bigger, more challenging projects. It takes on large, loosely defined engineering problems across multiple repositories and monorepos, tests its own work as it goes, and is more willing to question inherited conclusions, so it finds root causes previous Claude models miss. In Anthropic’s testing, it coordinated hundreds of subagents as a lead agent and flagged results that don’t reproduce. Beyond coding, it develops new analytical methods for scientific research and brings frontier reasoning to quantitative finance.
Anthropic has designated Fable 5.2 and Mythos 5.2 as covered models, which require data retention for safety monitoring. Until Enterprise Frontier Safeguards is available, eligible customers can use Fable 5.2 with zero data retention. Visit the Amazon Bedrock abuse detection page to learn more about details regarding data retention for these models.
To learn more, see the Amazon Bedrock documentation, and regional availability.
Quelle: aws.amazon.com