AWS DMS Schema Conversion adds SAP (Sybase) ASE to PostgreSQL support with generative AI

AWS Database Migration Service (DMS) Schema Conversion is a fully managed feature of DMS that automatically assesses and converts database schemas to formats compatible with AWS target database services. Today, we’re excited to announce that Schema Conversion now supports conversions from SAP Adaptive Server Enterprise (ASE) database (formerly known as Sybase) to Amazon RDS PostgreSQL and Amazon Aurora PostgreSQL, powered by Generative AI capability. Using Schema Conversion, you can automatically convert database objects from your SAP (Sybase) ASE source to an to Amazon RDS PostgreSQL and Amazon Aurora PostgreSQL target. The integrated generative AI capability intelligently handles complex code conversions that typically require manual effort, such as stored procedures, functions, and triggers. Schema Conversion also provides detailed assessment reports to help you plan and execute your migration effectively. To learn more about this feature, see the documentation for using SAP (Sybase) ASE as a source for AWS DMS Schema Conversion and using SAP (Sybase) ASE as a source for AWS DMS for data migration. For details about the generative AI capability, please refer to the User Guide. For AWS DMS Schema Conversion regional availability, please refer to the Supported AWS Regions page.
Quelle: aws.amazon.com

AWS IAM enables identity federation to external services using JSON Web Tokens (JWTs)

AWS Identity and Access Management (IAM) announces outbound identity federation, enabling customers to securely federate their AWS identities to external services using short-lived JSON Web Tokens (JWTs). This allows customers to securely authenticate their AWS workloads with third-party cloud providers, SaaS providers, and self-hosted applications without using long-term credentials or implementing complex workarounds. Customers can now exchange their AWS IAM credentials for cryptographically signed, short-lived JSON Web Tokens (JWTs), providing a simple and secure mechanism for AWS workloads to access external services. These tokens contain rich context about the AWS workloads, enabling external services to implement fine-grained access control. Administrators can control access to token generation and enforce token properties (such as lifetime, audience and signing algorithms) using IAM policies and audit token usage using CloudTrail logs, allowing them to meet their organization’s security and compliance requirements. This capability is available in all AWS commercial Regions, AWS GovCloud (US) Regions, and China Regions. To get started, visit the list of resources below:

Read the AWS News Blog Post
Visit IAM Documentation

Quelle: aws.amazon.com

Amazon OpenSearch Serverless now supports backup and restore through the AWS Management Console

Amazon OpenSearch Serverless now supports backup and restore through the AWS Management Console. OpenSearch Serverless automatically backs up all collections and indexes in your account every hour and retains backups for 14 days. You can restore backups using either the API or the AWS Console. This feature is enabled by default and requires no configuration. For more information, see Working with snapshots in the Amazon OpenSearch Serverless Developer Guide. Please refer to the AWS Regional Services List for more information about Amazon OpenSearch Service availability. To learn more about OpenSearch Serverless, see the documentation. 
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Amazon Connect outbound campaigns supports ring time configuration for unanswered calls

Amazon Connect outbound campaigns now offers campaign managers the ability to configure how long voice calls should ring—between a range of 15 and 60 seconds—before marking a call as “no answer” and moving to the next contact. Each contact also records when ringing began and ended for precise reporting and traceability. When ring duration is static, businesses struggle to balance calling efficiency and customer reach. Calls that ring too briefly may miss customers who take longer to answer, while excessive ring times delay overall campaign pacing. This lack of control leads to inconsistent contact rates and reduced agent productivity. With configurable ring time, campaign managers can tune dialing behavior to their audience for each campaign, use analytics to see exactly how long each call rang, and understand where connections were missed. This visibility helps identify patterns, refine calling strategies, and continuously improve campaign effectiveness. With Amazon Connect outbound campaigns, companies pay-as-they-go for campaign processing and channel usage. This feature is available in AWS regions, including US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), and Europe (London). To learn more about configuring ring time for campaigns, visit our webpage.
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Amazon Bedrock is now available in additional Regions

Beginning today, customers can use Amazon Bedrock in the Africa (Cape Town), Canada West (Calgary), Mexico (Central), and Middle East (Bahrain) regions to easily build and scale generative AI applications using a variety of foundation models (FMs) as well as powerful tools to build generative AI applications. Amazon Bedrock is a comprehensive and secure service for building generative AI applications and agents. Amazon Bedrock connects you to leading foundation models (FMs) and services to deploy and operate agents, enabling you to quickly move from experimentation to real-world deployment. To get started, visit the Amazon Bedrock page and see the Amazon Bedrock documentation for more details.
Quelle: aws.amazon.com