Amazon OpenSearch Serverless announces support for Neural Search, Hybrid Search, Workflow API, and AI connectors. This new set of APIs facilitates use cases such as retrieval augmented generation (RAG) and semantic search.

Neural search enables semantic queries through text and images instead of vectors. Neural search uses a high-level API with connectors to Amazon SageMaker, Amazon Bedrock, and other AI services to generate enrichments like dense or sparse vectors during query and ingestion. Hybrid search enables combining lexical, neural, and k-NN (vector) queries to deliver higher search relevancy. The workflow API allows you to package OpenSearch AI resources like models, connectors, and pipelines into templates to automate multi-step configurations required to enable AI features such as neural search, and simplified integration with specific model providers like Amazon Bedrock, Cohere, OpenAI or DeepSeek.

Neural Search, Hybrid Search, Workflow API, and AI connectors are enabled for all serverless collections in the following regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (Spain), Europe (Stockholm). Check the AWS Regional Services List for availability in your region.

For more information about these features, please see the documentation for Neural Search, Hybrid Search, Workflow API, and AI connectors. To learn more about Amazon OpenSearch Serverless, please visit the product page.

 

​Amazon OpenSearch Serverless announces support for Neural Search, Hybrid Search, Workflow API, and AI connectors. This new set of APIs facilitates use cases such as retrieval augmented generation (RAG) and semantic search. Neural search enables semantic queries through text and images instead of vectors. Neural search uses a high-level API with connectors to Amazon SageMaker, Amazon Bedrock, and other AI services to generate enrichments like dense or sparse vectors during query and ingestion. Hybrid search enables combining lexical, neural, and k-NN (vector) queries to deliver higher search relevancy. The workflow API allows you to package OpenSearch AI resources like models, connectors, and pipelines into templates to automate multi-step configurations required to enable AI features such as neural search, and simplified integration with specific model providers like Amazon Bedrock, Cohere, OpenAI or DeepSeek. Neural Search, Hybrid Search, Workflow API, and AI connectors are enabled for all serverless collections in the following regions: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (Spain), Europe (Stockholm). Check the AWS Regional Services List for availability in your region. For more information about these features, please see the documentation for Neural Search, Hybrid Search, Workflow API, and AI connectors. To learn more about Amazon OpenSearch Serverless, please visit the product page.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7g instances are available in the AWS Middle East (Bahrain), AWS Africa (Cape Town), and AWS Asia Pacific (Jakarta) regions. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage.

Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS).

To learn more, see Amazon EC2 C7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7g instances are available in the AWS Middle East (Bahrain), AWS Africa (Cape Town), and AWS Asia Pacific (Jakarta) regions. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage. Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS). To learn more, see Amazon EC2 C7g. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.  

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i and M7i-flex instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Osaka) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers.

M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to M6i. M7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices.

M7i deliver up to 15% better price-performance compared to M6i. M7i instances are a great choice for workloads that need the largest instance sizes or continuous high CPU usage, such as gaming servers, CPU-based machine learning (ML), and video-streaming. M7i offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads.

To learn more, visit Amazon EC2 M7i Instances. To get started, see the AWS Management Console.

 

​Starting today, Amazon Elastic Compute Cloud (Amazon EC2) M7i and M7i-flex instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Osaka) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. M7i-flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose workloads. They deliver up to 19% better price-performance compared to M6i. M7i-flex instances offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don’t fully utilize all compute resources such as web and application servers, virtual-desktops, batch-processing, and microservices. M7i deliver up to 15% better price-performance compared to M6i. M7i instances are a great choice for workloads that need the largest instance sizes or continuous high CPU usage, such as gaming servers, CPU-based machine learning (ML), and video-streaming. M7i offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads. To learn more, visit Amazon EC2 M7i Instances. To get started, see the AWS Management Console.  

We’re excited to announce the general availability of two new Amazon CloudWatch metrics for AWS Outposts racks: VifConnectionStatus and VifBgpSessionState. These metrics provide you with greater visibility into the connectivity status of your Outposts racks’ Local Gateway (LGW) and Service Link Virtual Interfaces (VIFs) with your on-premises devices.

These metrics provide you with the ability to monitor Outposts VIF connectivity status directly within the CloudWatch console, without having to rely on external networking tools or coordination with other teams. You can use these metrics to set alarms, troubleshoot connectivity issues, and ensure your Outposts racks are properly integrated with your on-premises infrastructure. The VifConnectionStatus metric indicates whether an Outposts VIF is successfully connected, configured, and ready to forward traffic. A value of «1» means that the VIF is operational, while «0» means that it is not ready. The VifBgpSessionState metric shows the current state of the BGP session between the Outposts VIF and the on-premises device, with values ranging from 1 (IDLE) to 6 (ESTABLISHED).

The VifConnectionStatus and VifBgpSessionState metrics are available for all Outposts VIFs in all commercial AWS Regions where Outposts racks are available.

To get started, read this blog post and access the metrics in the CloudWatch console. To learn more, check out the CloudWatch metrics for AWS Outposts documentation for second-generation Outposts racks and first-generation Outposts racks.

 

​We’re excited to announce the general availability of two new Amazon CloudWatch metrics for AWS Outposts racks: VifConnectionStatus and VifBgpSessionState. These metrics provide you with greater visibility into the connectivity status of your Outposts racks’ Local Gateway (LGW) and Service Link Virtual Interfaces (VIFs) with your on-premises devices.
These metrics provide you with the ability to monitor Outposts VIF connectivity status directly within the CloudWatch console, without having to rely on external networking tools or coordination with other teams. You can use these metrics to set alarms, troubleshoot connectivity issues, and ensure your Outposts racks are properly integrated with your on-premises infrastructure. The VifConnectionStatus metric indicates whether an Outposts VIF is successfully connected, configured, and ready to forward traffic. A value of «1» means that the VIF is operational, while «0» means that it is not ready. The VifBgpSessionState metric shows the current state of the BGP session between the Outposts VIF and the on-premises device, with values ranging from 1 (IDLE) to 6 (ESTABLISHED).
The VifConnectionStatus and VifBgpSessionState metrics are available for all Outposts VIFs in all commercial AWS Regions where Outposts racks are available.
To get started, read this blog post and access the metrics in the CloudWatch console. To learn more, check out the CloudWatch metrics for AWS Outposts documentation for second-generation Outposts racks and first-generation Outposts racks.  

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Cumulative Update CU20 for SQL Server 2022 (RDS version 16.00.4205.1.v1), and General Distribution Releases (GDR) for SQL Server 2016 SP3 (RDS version 13.00.6460.7.v1), SQL Server 2017 (RDS version 14.00.3495.9.v1) and SQL Server 2019 (RDS version 15.00.4435.7.v1). The new CU20 and GDR releases address the vulnerabilities described in CVE-2025-49717, CVE-2025-49718 and CVE-2025-49719. Additionally, CU20 also includes important security fixes, performance improvements, and bug fixes. For additional information, see the Microsoft SQL Server 2022 CU20 documentation and GDR release notes KB5058717, KB5058714, KB5058722 and KB5058721.

We recommend that you upgrade your Amazon RDS for SQL Server instances to these latest versions using Amazon RDS Management Console or by using the AWS SDK or CLI. You can learn more about upgrading your database instances by using Amazon RDS User Guide.

These updates are available in all AWS regions.

 

​Amazon Relational Database Service (Amazon RDS) for SQL Server now supports Cumulative Update CU20 for SQL Server 2022 (RDS version 16.00.4205.1.v1), and General Distribution Releases (GDR) for SQL Server 2016 SP3 (RDS version 13.00.6460.7.v1), SQL Server 2017 (RDS version 14.00.3495.9.v1) and SQL Server 2019 (RDS version 15.00.4435.7.v1). The new CU20 and GDR releases address the vulnerabilities described in CVE-2025-49717, CVE-2025-49718 and CVE-2025-49719. Additionally, CU20 also includes important security fixes, performance improvements, and bug fixes. For additional information, see the Microsoft SQL Server 2022 CU20 documentation and GDR release notes KB5058717, KB5058714, KB5058722 and KB5058721. We recommend that you upgrade your Amazon RDS for SQL Server instances to these latest versions using Amazon RDS Management Console or by using the AWS SDK or CLI. You can learn more about upgrading your database instances by using Amazon RDS User Guide. These updates are available in all AWS regions.  

With this launch, Amazon VPC Reachability Analyzer and Amazon VPC Network Access Analyzer are now available in Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Thailand), Europe (Zurich), and Middle East (UAE).

VPC Reachability Analyzer allows you to diagnose network reachability between a source resource and a destination resource in your virtual private clouds (VPCs) by analyzing your network configurations. For example, Reachability Analyzer can help you identify a missing route table entry in your VPC route table that could be blocking network reachability between an EC2 instance in Account A that is not able to connect to another EC2 instance in Account B in your AWS Organization.

VPC Network Access Analyzer allows you to identify unintended network access to your AWS resources, helping you meet your security and compliance guidelines. For example, you can create a scope to verify that all paths from your web-applications to the internet, traverse the firewall, and detect any paths that bypass the firewall.

For more information, visit documentation for VPC Reachability Analyzer and VPC Network Access Analyzer. For pricing, refer to the Network Analysis tab on the Amazon VPC Pricing Page. 

 

​With this launch, Amazon VPC Reachability Analyzer and Amazon VPC Network Access Analyzer are now available in Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Thailand), Europe (Zurich), and Middle East (UAE). VPC Reachability Analyzer allows you to diagnose network reachability between a source resource and a destination resource in your virtual private clouds (VPCs) by analyzing your network configurations. For example, Reachability Analyzer can help you identify a missing route table entry in your VPC route table that could be blocking network reachability between an EC2 instance in Account A that is not able to connect to another EC2 instance in Account B in your AWS Organization. VPC Network Access Analyzer allows you to identify unintended network access to your AWS resources, helping you meet your security and compliance guidelines. For example, you can create a scope to verify that all paths from your web-applications to the internet, traverse the firewall, and detect any paths that bypass the firewall. For more information, visit documentation for VPC Reachability Analyzer and VPC Network Access Analyzer. For pricing, refer to the Network Analysis tab on the Amazon VPC Pricing Page.   

Amazon DynamoDB is announcing the support of Console-to-Code, powered by Amazon Q Developer. Console-to-Code makes it simple, fast, and cost-effective to create DynamoDB resources at scale by getting you started with your automation code.

DynamoDB is a serverless, NoSQL, fully managed database with single-digit millisecond performance at any scale. Customers use the DynamoDB console to learn and prototype cloud solutions. Console-to-Code helps you record those actions and uses generative AI to suggest code in you preferred infrastructure-as-code (IAC) format for the actions you want. You can use this code as a starting point for infrastructure automation and further customize for your production workloads. For example, with Console-to-Code, you can record creating an Amazon DynamoDB table and choose to generate code for the AWS CDK (TypeScript, Python, or Java) or CloudFormation (YAML or JSON).

Console to Code, powered by Amazon Q Developer, is generally available in commercial regions for Amazon DynamoDB. To get started with DynamoDB, see the DynamoDB Developer Guide. To learn more about Console-to-Code, see Automating AWS services with Amazon Q Developer Console-to-Code.

 

​Amazon DynamoDB is announcing the support of Console-to-Code, powered by Amazon Q Developer. Console-to-Code makes it simple, fast, and cost-effective to create DynamoDB resources at scale by getting you started with your automation code. DynamoDB is a serverless, NoSQL, fully managed database with single-digit millisecond performance at any scale. Customers use the DynamoDB console to learn and prototype cloud solutions. Console-to-Code helps you record those actions and uses generative AI to suggest code in you preferred infrastructure-as-code (IAC) format for the actions you want. You can use this code as a starting point for infrastructure automation and further customize for your production workloads. For example, with Console-to-Code, you can record creating an Amazon DynamoDB table and choose to generate code for the AWS CDK (TypeScript, Python, or Java) or CloudFormation (YAML or JSON). Console to Code, powered by Amazon Q Developer, is generally available in commercial regions for Amazon DynamoDB. To get started with DynamoDB, see the DynamoDB Developer Guide. To learn more about Console-to-Code, see Automating AWS services with Amazon Q Developer Console-to-Code.  

AWS customers can now view and manage their support cases from the AWS Console Mobile App. Customers can view and reply to case correspondence, and resolve, reopen, or create support cases while on the go and away from their workstations. Visit the Services tab and select “Support” to get started.

The AWS Console Mobile App enables AWS customers monitor and manage a select set of resources and receive push notifications to stay informed and connected with their AWS resources while on-the-go. The sign-in process supports biometrics authentication, making access to AWS resources simple, secure, and quick. For AWS services not available natively, customers can access the AWS Management Console via an in-app browser to access service pages without additional authentication, manual navigation, or need to switch from the app to a browser.

Visit the AWS Console Mobile App product page for more information about the AWS Console Mobile App, including a full list of supported services and regions. Visit the AWS Support documentation page for more information about AWS Support.

 

​AWS customers can now view and manage their support cases from the AWS Console Mobile App. Customers can view and reply to case correspondence, and resolve, reopen, or create support cases while on the go and away from their workstations. Visit the Services tab and select “Support” to get started. The AWS Console Mobile App enables AWS customers monitor and manage a select set of resources and receive push notifications to stay informed and connected with their AWS resources while on-the-go. The sign-in process supports biometrics authentication, making access to AWS resources simple, secure, and quick. For AWS services not available natively, customers can access the AWS Management Console via an in-app browser to access service pages without additional authentication, manual navigation, or need to switch from the app to a browser. Visit the AWS Console Mobile App product page for more information about the AWS Console Mobile App, including a full list of supported services and regions. Visit the AWS Support documentation page for more information about AWS Support.  

Amazon Aurora Serverless v2 now offers up to 30% improved performance for databases running on the latest serverless platform version (version 3), and also supports scaling from 0 up to 256 Aurora Capacity Units (ACUs). Aurora Serverless v2 measures capacity in ACUs where each ACU is a combination of approximately 2 gibibytes (GiB) of memory, corresponding CPU, and networking. You specify the capacity range and the database scales within this range to support your application’s needs.

With improved performance, you can now use Aurora Serverless for even more demanding workloads. All new clusters, database restores, and new clones will launch on the latest platform version. Existing clusters can be upgraded by stopping and restarting the cluster or by using Blue/Green Deployments. You can determine the cluster’s platform version in the AWS Console’s instance configuration section or via the RDS API’s ServerlessV2PlatformVersion parameter for a DB cluster.

The latest platform version is available in all AWS Regions including the AWS GovCloud (US) Regions. Aurora Serverless is an on-demand, automatic scaling configuration for Amazon Aurora. For pricing details and Region availability, visit Amazon Aurora Pricing. To learn more, read the documentation, and get started by creating an Aurora Serverless v2 database using only a few steps in the AWS Management Console.

 

​Amazon Aurora Serverless v2 now offers up to 30% improved performance for databases running on the latest serverless platform version (version 3), and also supports scaling from 0 up to 256 Aurora Capacity Units (ACUs). Aurora Serverless v2 measures capacity in ACUs where each ACU is a combination of approximately 2 gibibytes (GiB) of memory, corresponding CPU, and networking. You specify the capacity range and the database scales within this range to support your application’s needs. With improved performance, you can now use Aurora Serverless for even more demanding workloads. All new clusters, database restores, and new clones will launch on the latest platform version. Existing clusters can be upgraded by stopping and restarting the cluster or by using Blue/Green Deployments. You can determine the cluster’s platform version in the AWS Console’s instance configuration section or via the RDS API’s ServerlessV2PlatformVersion parameter for a DB cluster. The latest platform version is available in all AWS Regions including the AWS GovCloud (US) Regions. Aurora Serverless is an on-demand, automatic scaling configuration for Amazon Aurora. For pricing details and Region availability, visit Amazon Aurora Pricing. To learn more, read the documentation, and get started by creating an Aurora Serverless v2 database using only a few steps in the AWS Management Console.  

Today, Amazon QuickSight is announcing the general availability of a native Apache Impala connector.

Apache Impala is a massively parallel processing (MPP) SQL query engine that runs natively on Apache Hadoop. QuickSight customers can now connect using their username password credentials for Impala and import their data into SPICE.

Apache Impala connector for Amazon QuickSight is now available in the following regions: US East (N.Virgina and Ohio), US West (Oregon), Canada (Central), South America (Sao Paulo), Africa (South Africa), Europe (Frankfurt, Zurich, Stockholm, Milan, Spain, Ireland, London, Paris), Asia Pacific (Mumbai, Singapore, Tokyo, Seoul, Jakarta, Sydney). For more details, click here.

 

​Today, Amazon QuickSight is announcing the general availability of a native Apache Impala connector. Apache Impala is a massively parallel processing (MPP) SQL query engine that runs natively on Apache Hadoop. QuickSight customers can now connect using their username password credentials for Impala and import their data into SPICE. Apache Impala connector for Amazon QuickSight is now available in the following regions: US East (N.Virgina and Ohio), US West (Oregon), Canada (Central), South America (Sao Paulo), Africa (South Africa), Europe (Frankfurt, Zurich, Stockholm, Milan, Spain, Ireland, London, Paris), Asia Pacific (Mumbai, Singapore, Tokyo, Seoul, Jakarta, Sydney). For more details, click here.