​We’re excited to announce the general availability of Amazon Nova Premier, our most capable multimodal foundation model for complex tasks such as processing long documents, videos, large codebases, and executing multistep agentic workflows. It is also our most capable teacher model and can be used with Amazon Bedrock Model Distillation to create custom distilled models for specific needs.
Nova Premier extends the capabilities available from Amazon Nova understanding models with several key improvements, including:

Superior intelligence: The model scores 87.4% in the Massive Multitask Language Understanding (MMLU) benchmark for undergraduate-level knowledge, 82.0% on Math500 for mathematic problems, and 84.6% on the CharXiv benchmark for chart understanding.
Improved agentic capabilities: Nova Premier can perform end-to-end actions on behalf of the user, enabling more complex workflows such as Retrieval-Augmented Generation (RAG), function calling, and agentic coding. The model scores 86.3% on SimpleQA with RAG, 63.7% on the Berkeley Function Calling Leaderboard (BFCL), and 42.4% on SWE-bench Verified for software engineering tasks.
Longer context: The model offers a context window of one million tokens. This enables analysis of bigger data sets like large codebases, multiple documents and images, documents longer than 400 pages, or 90-minute-long videos.

Nova Premier is also the fastest and most cost-effective proprietary model in its intelligence tier in Amazon Bedrock. With Nova Premier and Amazon Bedrock Model Distillation, you can now create highly capable, cost-effective, and low-latency versions of Nova Pro, Lite, and Micro for your specific needs. For example, we used Nova Premier to distill Nova Pro for complex tool selection and API calling. The distilled Nova Pro had a 20% higher accuracy for API invocations compared to the base model and consistently matched the performance of the teacher, with the speed and cost benefits of Nova Pro.
Nova Premier is available in Amazon Bedrock in the following AWS Regions: US East (N. Virginia), US East (Ohio), and US West (Oregon) through cross-Region inference.
Learn more about Amazon Nova on the AWS News Blog, Amazon Nova product page, or Amazon Nova user guide. You can try Nova Premier at nova.amazon.com or get started building with Nova Premier in Amazon Bedrock from the Amazon Bedrock console.  

Amazon SageMaker now offers a unified scheduling experience for visual ETL flows and queries. The next generation of Amazon SageMaker is the center for all your data, analytics, and AI, and includes SageMaker Unified Studio, a single data and AI development environment. Visual ETL in Amazon SageMaker provides a drag-and-drop interface for building ETL flows and authoring flows with Amazon Q. The query editor tool provides a place to write and run queries, view results, and share your work with your team. This new scheduling experience simplifies the scheduling process for Visual ETL and Query editor users.

With unified scheduling you can now schedule your workloads with Amazon EventBridge Scheduler from the same visual interface you use to author your query or visual ETL flow. Previously, you needed to create a code-based workflow in order to run a single flow or query on schedule. You can also view, modify or pause/resume these schedules and monitor the runs they invoked.

This new feature is now available in all AWS regions where Amazon SageMaker is available. Access the supported region list for the most up-to-date availability information.

To learn more, visit our Amazon SageMaker Unified Studio documentation, blog post and Amazon EventBridge Scheduler pricing page.

 

​Amazon SageMaker now offers a unified scheduling experience for visual ETL flows and queries. The next generation of Amazon SageMaker is the center for all your data, analytics, and AI, and includes SageMaker Unified Studio, a single data and AI development environment. Visual ETL in Amazon SageMaker provides a drag-and-drop interface for building ETL flows and authoring flows with Amazon Q. The query editor tool provides a place to write and run queries, view results, and share your work with your team. This new scheduling experience simplifies the scheduling process for Visual ETL and Query editor users. With unified scheduling you can now schedule your workloads with Amazon EventBridge Scheduler from the same visual interface you use to author your query or visual ETL flow. Previously, you needed to create a code-based workflow in order to run a single flow or query on schedule. You can also view, modify or pause/resume these schedules and monitor the runs they invoked. This new feature is now available in all AWS regions where Amazon SageMaker is available. Access the supported region list for the most up-to-date availability information. To learn more, visit our Amazon SageMaker Unified Studio documentation, blog post and Amazon EventBridge Scheduler pricing page.  

AWS Elastic Beanstalk now gives customers the option to use default security groups or their own custom security groups when deploying applications. This new feature provides greater control over network access and security configurations.

With this update, customers can use custom security groups instead of default security groups for both new and existing Elastic Beanstalk environments. This applies to the EC2 instances within the environment and, for load-balanced environments, to the load balancer as well. Previously, Elastic Beanstalk would automatically add a default security group. This enhancement enables customized security policies and simplifies security management.

This feature is available in all of the AWS Commercial Regions and AWS GovCloud (US) Regions that Elastic Beanstalk supports. For a complete list of regions and service offerings, see AWS Regions.

To learn more about using custom security groups with Elastic Beanstalk, see the AWS Elastic Beanstalk Developer Guide. For additional information about Elastic Beanstalk features, visit the AWS Elastic Beanstalk product page.
 

 

​AWS Elastic Beanstalk now gives customers the option to use default security groups or their own custom security groups when deploying applications. This new feature provides greater control over network access and security configurations. With this update, customers can use custom security groups instead of default security groups for both new and existing Elastic Beanstalk environments. This applies to the EC2 instances within the environment and, for load-balanced environments, to the load balancer as well. Previously, Elastic Beanstalk would automatically add a default security group. This enhancement enables customized security policies and simplifies security management. This feature is available in all of the AWS Commercial Regions and AWS GovCloud (US) Regions that Elastic Beanstalk supports. For a complete list of regions and service offerings, see AWS Regions. To learn more about using custom security groups with Elastic Beanstalk, see the AWS Elastic Beanstalk Developer Guide. For additional information about Elastic Beanstalk features, visit the AWS Elastic Beanstalk product page.    

Today, AWS Resource Explorer has expanded the availability of resource search and discovery to 3 additional AWS Regions: Asia Pacific (Malaysia), Asia Pacific (Thailand), and Mexico (Central).

With AWS Resource Explorer you can search for and discover your AWS resources across AWS Regions and accounts in your organization, either using the AWS Resource Explorer console, the AWS Command Line Interface (AWS CLI), the AWS SDKs, or the unified search bar from wherever you are in the AWS Management Console.

For more information about the AWS Regions where AWS Resource Explorer is available, see the AWS Region table.

To turn on AWS Resource Explorer, visit the AWS Resource Explorer console. Read about getting started in our AWS Resource Explorer documentation, or explore the AWS Resource Explorer product page.

 

​Today, AWS Resource Explorer has expanded the availability of resource search and discovery to 3 additional AWS Regions: Asia Pacific (Malaysia), Asia Pacific (Thailand), and Mexico (Central). With AWS Resource Explorer you can search for and discover your AWS resources across AWS Regions and accounts in your organization, either using the AWS Resource Explorer console, the AWS Command Line Interface (AWS CLI), the AWS SDKs, or the unified search bar from wherever you are in the AWS Management Console. For more information about the AWS Regions where AWS Resource Explorer is available, see the AWS Region table. To turn on AWS Resource Explorer, visit the AWS Resource Explorer console. Read about getting started in our AWS Resource Explorer documentation, or explore the AWS Resource Explorer product page.  

Cross-Region Automated Backup replication for Amazon RDS is now available in five additional AWS Regions. This launch allows you to setup automated backup replication between Australia (Melbourne) and Australia (Sydney); between Asia Pacific (Hong Kong) and Asia Pacific (Singapore) or Asia Pacific (Tokyo); between Asia Pacific (Malaysia) and Asia Pacific (Singapore); between Canada (Central) and Canada West (Calgary); and between Europe (Zurich) and Europe (Frankfurt) or Europe (Ireland) Regions.

Automated Backups enable recovery capability for mission-critical databases by providing you the ability to restore your database to a specific point in time within your backup retention period. With Cross-Region Automated Backup replication, RDS will replicate snapshots and transaction logs to the chosen destination AWS Region. In the event that your primary AWS Region becomes unavailable, you can restore the automated backup to a point in time in the secondary AWS Region and quickly resume operations. As transaction logs are uploaded to the target AWS Region frequently, you can achieve a Recovery Point Objective (RPO) of within the last few minutes.

You can setup Cross-Region Automated Backup replication with just a few clicks on the Amazon RDS Management Console or using the AWS SDK or CLI. Cross-Region Automated Backup replication is available on Amazon RDS for PostgreSQL, Amazon RDS for MariaDB, Amazon RDS for MySQL, Amazon RDS for Oracle, and Amazon RDS for Microsoft SQL Server. For more information, including instructions on getting started, read the Amazon RDS documentation.

 

​Cross-Region Automated Backup replication for Amazon RDS is now available in five additional AWS Regions. This launch allows you to setup automated backup replication between Australia (Melbourne) and Australia (Sydney); between Asia Pacific (Hong Kong) and Asia Pacific (Singapore) or Asia Pacific (Tokyo); between Asia Pacific (Malaysia) and Asia Pacific (Singapore); between Canada (Central) and Canada West (Calgary); and between Europe (Zurich) and Europe (Frankfurt) or Europe (Ireland) Regions. Automated Backups enable recovery capability for mission-critical databases by providing you the ability to restore your database to a specific point in time within your backup retention period. With Cross-Region Automated Backup replication, RDS will replicate snapshots and transaction logs to the chosen destination AWS Region. In the event that your primary AWS Region becomes unavailable, you can restore the automated backup to a point in time in the secondary AWS Region and quickly resume operations. As transaction logs are uploaded to the target AWS Region frequently, you can achieve a Recovery Point Objective (RPO) of within the last few minutes. You can setup Cross-Region Automated Backup replication with just a few clicks on the Amazon RDS Management Console or using the AWS SDK or CLI. Cross-Region Automated Backup replication is available on Amazon RDS for PostgreSQL, Amazon RDS for MariaDB, Amazon RDS for MySQL, Amazon RDS for Oracle, and Amazon RDS for Microsoft SQL Server. For more information, including instructions on getting started, read the Amazon RDS documentation.  

Starting today, you can use AWS WAF Bot and Fraud Control RuleGroup in 2 additional AWS regions: AWS Canada West (Calgary) and AWS Asia Pacific (Malaysia) region.

AWS WAF Bot Control and Fraud Control deliver comprehensive security for web applications, APIs, and mobile apps. Bot Control protects against automated bot traffic with easy deployment and configurable actions, ensuring scalable management. Fraud Control focuses on preventing account takeovers and fraudulent account creation, leveraging machine learning to reduce financial losses and enhance user trust. Both solutions integrate seamlessly with AWS WAF, providing real-time visibility and detailed metrics for effective protection and operational efficiency.

For more information, visit the AWS WAF page. For more information about pricing, visit the AWS WAF Pricing page.
 

 

​Starting today, you can use AWS WAF Bot and Fraud Control RuleGroup in 2 additional AWS regions: AWS Canada West (Calgary) and AWS Asia Pacific (Malaysia) region. AWS WAF Bot Control and Fraud Control deliver comprehensive security for web applications, APIs, and mobile apps. Bot Control protects against automated bot traffic with easy deployment and configurable actions, ensuring scalable management. Fraud Control focuses on preventing account takeovers and fraudulent account creation, leveraging machine learning to reduce financial losses and enhance user trust. Both solutions integrate seamlessly with AWS WAF, providing real-time visibility and detailed metrics for effective protection and operational efficiency. For more information, visit the AWS WAF page. For more information about pricing, visit the AWS WAF Pricing page.    

Amazon Connect now lets you grant administrator access to agent schedules, making it easier to address key operational needs with minimal configuration. With this launch, you can now give certain users access to all published agent schedules without being added as a supervisor to every staff group. For example, users such as centralized schedulers or auditors who require a broad view of agent schedules across the organization can now be granted this access in a few clicks, thus reducing time spent on access management and improving overall operational efficiency.

This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.

 

​Amazon Connect now lets you grant administrator access to agent schedules, making it easier to address key operational needs with minimal configuration. With this launch, you can now give certain users access to all published agent schedules without being added as a supervisor to every staff group. For example, users such as centralized schedulers or auditors who require a broad view of agent schedules across the organization can now be granted this access in a few clicks, thus reducing time spent on access management and improving overall operational efficiency. This feature is available in all AWS Regions where Amazon Connect agent scheduling is available. To learn more about Amazon Connect agent scheduling, click here.  

You can now run OpenSearch version 2.19 in Amazon OpenSearch Service which introduces several improvements in the areas of Vector Search, Observability and OpenSearch Dashboards.

We have introduced four key capabilities for vector search applications. The Faiss engine now supports AVX512 SIMD instructions, to accelerate vector similarity computations. The ML inference search response processor can now rank search hits and update scores based on model predictions, enabling sophisticated and context-aware document ranking and result augmentation. Lucene binary vectors, now complement existing Faiss engine binary vector support offering greater flexibility for vector search applications. Hybrid search now includes pagination support , reciprocal rank fusion to improve result ranking along with a debugging tool for score and rank normalization process.

The launch also introduces query insights dashboards that lets users monitor and analyze the top queries collected by the query Insights plugin. Anomaly detection now offers two key improvements. First, enhanced anomaly definition capabilities allow users to specify multiple criteria to identify both spikes and dips in data patterns. Second, a new dedicated index for flattened results improves query performance and dashboard visualization experience. Finally, you can now use template query to create search queries that contain placeholder variables allowing for more flexible, efficient, and secure search operations.

For information on upgrading to OpenSearch 2.19, please see the documentation. OpenSearch 2.19 is now available in all AWS Regions where Amazon OpenSearch Service is available.
 

 

​You can now run OpenSearch version 2.19 in Amazon OpenSearch Service which introduces several improvements in the areas of Vector Search, Observability and OpenSearch Dashboards. We have introduced four key capabilities for vector search applications. The Faiss engine now supports AVX512 SIMD instructions, to accelerate vector similarity computations. The ML inference search response processor can now rank search hits and update scores based on model predictions, enabling sophisticated and context-aware document ranking and result augmentation. Lucene binary vectors, now complement existing Faiss engine binary vector support offering greater flexibility for vector search applications. Hybrid search now includes pagination support , reciprocal rank fusion to improve result ranking along with a debugging tool for score and rank normalization process. The launch also introduces query insights dashboards that lets users monitor and analyze the top queries collected by the query Insights plugin. Anomaly detection now offers two key improvements. First, enhanced anomaly definition capabilities allow users to specify multiple criteria to identify both spikes and dips in data patterns. Second, a new dedicated index for flattened results improves query performance and dashboard visualization experience. Finally, you can now use template query to create search queries that contain placeholder variables allowing for more flexible, efficient, and secure search operations. For information on upgrading to OpenSearch 2.19, please see the documentation. OpenSearch 2.19 is now available in all AWS Regions where Amazon OpenSearch Service is available.    

Amazon Simple Email Service (SES) announces that its Mail Manager email modernization and infrastructure features now have a rule action which enables messages to be published using an Amazon Simple Notification Service (SNS) notification. The notification includes the complete email content, and has options for SNS Topic and Encoding.

Amazon SNS is a fully managed service that provides message delivery from publishers (producers) to subscribers (consumers). Publishers communicate asynchornously with subscribers by sending messages to a topic, which is a logical access point and communication channel. Subscribers can choose to receive these notifications through a variety of endpoints, including email, SMS, and Lambda. By centralizing notification preferences within SNS, customers enhance messaging between applications and users while gaining advantages of high availability, durability, and flexibility. Using the Publish to SNS rule action within Mail Manager increases the number and type of delivery destinations available to customers as part of their larger ruleset configuration.

Mail Manager’s Publish to SNS rule action is available in all 17 AWS Regions where Mail Manager is launched. There is no additional fee from SES to make use of this feature, though charges from AWS for SNS and destination channel activity may apply. Customers can learn more about SES Mail Manager by clicking here.

 

​Amazon Simple Email Service (SES) announces that its Mail Manager email modernization and infrastructure features now have a rule action which enables messages to be published using an Amazon Simple Notification Service (SNS) notification. The notification includes the complete email content, and has options for SNS Topic and Encoding. Amazon SNS is a fully managed service that provides message delivery from publishers (producers) to subscribers (consumers). Publishers communicate asynchornously with subscribers by sending messages to a topic, which is a logical access point and communication channel. Subscribers can choose to receive these notifications through a variety of endpoints, including email, SMS, and Lambda. By centralizing notification preferences within SNS, customers enhance messaging between applications and users while gaining advantages of high availability, durability, and flexibility. Using the Publish to SNS rule action within Mail Manager increases the number and type of delivery destinations available to customers as part of their larger ruleset configuration. Mail Manager’s Publish to SNS rule action is available in all 17 AWS Regions where Mail Manager is launched. There is no additional fee from SES to make use of this feature, though charges from AWS for SNS and destination channel activity may apply. Customers can learn more about SES Mail Manager by clicking here.  

AWS Config now supports 13 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources.

With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators.

You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available:

Resource Types:

AWS::AppIntegrations::Application

AWS::EC2::EIPAssociation

AWS::EC2::InstanceConnectEndpoint

AWS::EC2::SnapshotBlockPublicAccess

AWS::EC2::VPCEndpointConnectionNotification

AWS::ElastiCache::UserGroup

AWS::InspectorV2:Activation

AWS::Macie::Session

AWS::Route53Profiles::Profile

AWS::OpenSearchServerless::Collection

AWS::S3::StorageLensGroup

AWS::SecurityHub::Standard

AWS::SageMaker::InferenceExperiment

To view the complete list of AWS Config supported resource types, see supported resource types page.

 

​AWS Config now supports 13 additional AWS resource types. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources.
With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators.
You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available:

Resource Types:

AWS::AppIntegrations::Application

AWS::EC2::EIPAssociation

AWS::EC2::InstanceConnectEndpoint

AWS::EC2::SnapshotBlockPublicAccess

AWS::EC2::VPCEndpointConnectionNotification

AWS::ElastiCache::UserGroup

AWS::InspectorV2:Activation

AWS::Macie::Session

AWS::Route53Profiles::Profile

AWS::OpenSearchServerless::Collection

AWS::S3::StorageLensGroup

AWS::SecurityHub::Standard

AWS::SageMaker::InferenceExperiment

To view the complete list of AWS Config supported resource types, see supported resource types page.