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Amazon SageMaker Unified Studio Workflows now supports operators for Amazon Bedrock, S3 Tables, S3 Vectors, and Glue Catalog

Amazon SageMaker Unified Studio Workflows now supports 19 new operators for Amazon Bedrock, Amazon S3 Tables, Amazon S3 Vectors, AWS Glue Data Catalog, and Amazon MWAA Serverless. With these operators, customers can add new tasks using the visual workflow creator to orchestrate these services without writing custom integration code. With this launch, data workers and builders can create workflows that manage Bedrock guardrails, provision and delete S3 Tables and S3 Vectors resources, manage Glue Data Catalog tables and databases, and trigger MWAA Serverless workflow runs. This expands the breadth of AWS services you can orchestrate from SageMaker Unified Studio Workflows, reducing the need to switch between consoles or write custom DAG code. This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available. For more information, see the AWS Region table. To learn more, see Supported operators for Amazon MWAA Serverless workflows. To get started, see Serverless visual workflows in the Amazon SageMaker Unified Studio User Guide.
Quelle: aws.amazon.com

Amazon SageMaker Unified Studio adds custom asset types to the catalog in IAM-based domains

Amazon SageMaker Unified Studio now supports custom asset types for IAM-based domains. With custom asset types, domain administrators can catalog any format of asset within the SageMaker Unified Studio, such as medical imaging files in Amazon S3, revenue dashboards built in PowerBI, or PDF research reports generated by a third-party platform. Custom asset types bring all assets, regardless of their underlying format, into the SageMaker catalog so teams can search, discover, and subscribe to them without needing separate tools or processes.
To get started, an administrator can create a custom asset type with a name, description, and optional metadata forms that define the fields each asset should carry. Individual assets can then be created from that type, enriched with glossary terms and README documentation to add business context for humans and AI agents, and published for discovery. Once published, anyone in the domain can find the asset by name, type, or glossary term and request a subscription through the same governed workflow used for all other catalog assets.
Custom asset types for IAM-based domains are available in all AWS Regions where Amazon SageMaker Unified Studio is available. To learn more, visit the SageMaker Unified Studio user guide. 
Quelle: aws.amazon.com

AWS Client VPN extends availability to four additional AWS Regions

AWS Client VPN is now available in four new regions: Canada West (Calgary), Mexico (Central) and two in Asia Pacific – New Zealand and Taipei. This fully managed service enables customers to securely connect their remote workforce to resources in AWS or on-premises networks.
AWS Client VPN eliminates the need for hardware VPN appliances and complex operational management through its pay-as-you-go model. Organizations can easily manage and monitor VPN connections through a single console. To learn more about Client VPN:

Visit the AWS Client VPN product page.
Read the AWS Client VPN documentation.
AWS Client VPN pricing page.

Quelle: aws.amazon.com

Amazon Connect Customer now supports forecasting, planning, and scheduling for Tasks and Emails

Amazon Connect Customer now supports forecasting, capacity planning, and scheduling for Tasks and Emails, enabling you to plan and optimize your workforce across all workloads (Voice, Chat, Tasks, Emails). Connect Customer accounts for the unique characteristics of each channel, including concurrent work handling, duration of work from minutes to months, and distinct service level requirements, so your forecasts and schedules reflect how your operation actually runs. For example, if your agents handle email inquiries or tasks such as case processing alongside voice calls, you can now generate a unified forecast that accounts for all of these workloads and create schedules that efficiently allocate agents across channels. Thus enabling end-to-end workforce optimization within a single solution and ensuring consistent service levels across all customer interaction channels. This feature is available in all AWS Regions where Amazon Connect Customer agent scheduling is available. To learn more about Amazon Connect Customer agent scheduling, click here.
Quelle: aws.amazon.com

Amazon Aurora DSQL change data capture (CDC) Is now generally available

Amazon Aurora DSQL change data capture (CDC) is now generally available, enabling you to stream real-time database changes to Amazon Kinesis Data Streams for event-driven architectures and data integration workflows. Aurora DSQL CDC automatically captures the results of insert, update, and delete operations as change events and delivers them to Kinesis Data Streams with no infrastructure to manage. You can use CDC to synchronize data across microservices, trigger AWS Lambda functions, or deliver changes to Amazon S3, Amazon Redshift, and Amazon OpenSearch Service via Amazon Data Firehose. CDC streaming is designed to have zero impact on your database workload performance. CDC streaming is available in all AWS Regions where Aurora DSQL is available. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about CDC in Aurora DSQL, visit the documentation page.
Quelle: aws.amazon.com