Amazon Connect now offers persistent agent connections for faster call handling

Amazon Connect now offers the ability to maintain an open communication channel between your agents and Amazon Connect, helping reduce the time it takes to establish a connection with a customer. Contact center administrators can configure an agent’s user profile to maintain a persistent connection after a conversation ends, allowing for subsequent calls to connect faster. Amazon Connect persistent agent connection makes it easier to support compliance requirements with telemarketing laws such as the U.S. Telephone Consumer Protection Act (TCPA) for outbound campaigns’ calling by reducing the time it takes for a customer to connect with your agents. Amazon Connect persistent connection is now available in all AWS regions where Amazon Connect is offered, and there is no additional charge beyond standard pricing for the Amazon Connect service usage and associated telephony charges. To learn more, visit our product page or refer to our Admin Guide.
Quelle: aws.amazon.com

Amazon CloudFront now supports TLS 1.3 for origin connections

Amazon CloudFront now supports TLS 1.3 when connecting to your origins, providing enhanced security and improved performance for origin communications. This upgrade offers stronger encryption algorithms, reduced handshake latency, and better overall security posture for data transmission between CloudFront edge locations and your origin servers. TLS 1.3 support is automatically enabled for all origin types, including custom origins, Amazon S3, and Application Load Balancers, with no configuration changes required on your part. TLS 1.3 provides faster connection establishment through a reduced number of round trips during the handshake process, delivering up to 30% improvement in connection performance when your origin supports it. CloudFront will automatically negotiate TLS 1.3 when your origin supports it, while maintaining backward compatibility with lower TLS versions for origins that haven’t yet upgraded. This enhancement benefits applications requiring high security standards, such as financial services, healthcare, and e-commerce platforms that handle sensitive data. TLS 1.3 support for origin connections is available at no additional charge in all CloudFront edge locations. To learn more about CloudFront origin TLS, see the Amazon CloudFront Developer Guide.
Quelle: aws.amazon.com

Amazon Braket introduces spending limits feature for quantum processing units

Amazon Braket now supports spending limits, enabling customers to set spending caps on quantum processing units (QPUs) to manage costs. With spending limits, customers can define maximum spending thresholds on a per-device basis, and Amazon Braket automatically validates each task submission doesn’t exceed the pre-configured limits. Tasks that would exceed remaining budgets are rejected before creation. For comprehensive cost management across all of Amazon Web Services, customers should continue to use the AWS Budgets feature as part of AWS Cost Management. Spending limits are particularly valuable for research institutions managing quantum computing budgets across multiple users, for educational environments preventing accidental overspending during coursework, and for development teams experimenting with quantum algorithms. Customers can update or delete spending limits at any time as their requirements change. Spending limits apply only to on-demand tasks on quantum processing units and do not include costs for simulators, notebook instances, hybrid jobs, or tasks created during Braket Direct reservations. Spending limits are available now in all AWS Regions where Amazon Braket is supported at no additional cost. Researchers at accredited institutions can apply for credits to support experiments on Amazon Braket through the AWS Cloud Credits for Research program. To get started, visit the Spending limits page in the Amazon Braket console and read our launch blog post.
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Amazon EC2 Mac instances now support Apple macOS Tahoe

Starting today, customers can run Apple macOS Tahoe (version 26) as Amazon Machine Images (AMIs) on Amazon EC2 Mac instances. Apple macOS Tahoe is the latest major macOS version, and introduces multiple new features and performance improvements over prior macOS versions including running Xcode version 26.0 or later (which includes the latest SDKs for iOS, iPadOS, macOS, tvOS, watchOS, and visionOS). Backed by Amazon Elastic Block Store (EBS), EC2 macOS AMIs are AWS-supported images that are designed to provide a stable, secure, and high-performance environment for developer workloads running on EC2 Mac instances. EC2 macOS AMIs include the AWS Command Line Interface, Command Line Tools for Xcode, Amazon SSM Agent, and Homebrew. The AWS Homebrew Tap includes the latest versions of AWS packages included in the AMIs. Apple macOS Tahoe AMIs are available for Apple silicon EC2 Mac instances and are published to all AWS regions where Apple silicon EC2 Mac instances are available today. Customers can get started with macOS Tahoe AMIs via the AWS Console, Command Line Interface (CLI), or API. Learn more about EC2 Mac instances here or get started with an EC2 Mac instance here. You can also subscribe to EC2 macOS AMI release notifications here.
Quelle: aws.amazon.com

AWS Glue supports additional SAP entities as zero-ETL integration sources

AWS Glue now supports full snapshot and incremental load ingestion for new SAP entities using zero-ETL integrations. This enhancement introduces full snapshot data ingestion for SAP entities that lack complete change data capture (CDC) functionality, while also providing incremental data loading capabilities for SAP entities that don’t support the Operational Data Provisioning (ODP) framework. These new features work alongside existing capabilities for ODP-supported SAP entities, to give customers the flexibility to implement zero-ETL data ingestion strategies across diverse SAP environments. Fully managed AWS zero-ETL integrations eliminate the engineering overhead associated with building custom ETL data pipelines. This new zero-ETL functionality enables organizations to ingest data from multiple SAP applications into Amazon Redshift or the lakehouse architecture of Amazon SageMaker to address scenarios where SAP entities lack deletion tracking flags or don’t support the Operational Data Provisioning (ODP) framework. Through full snapshot ingestion for entities without deletion tracking and timestamp-based incremental loading for non-ODP systems, zero-ETL integrations reduce operational complexity while saving organizations weeks of engineering effort that would otherwise be required to design, build, and test custom data pipelines across diverse SAP application environments. This feature is available in all AWS Regions where AWS Glue zero-ETL is currently available. To get started with the enhanced zero-ETL coverage for SAP sources refer to the AWS Glue zero-ETL user guide.
Quelle: aws.amazon.com

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.
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