8/6/2025, 12:00:00 AM ~ 8/7/2025, 12:00:00 AM (UTC)

Recent Announcements

Amazon DynamoDB adds support for 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.\n 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 Outposts racks now support new Amazon CloudWatch metrics

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.\n 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 RDS now supports Cumulative Update CU20 for Microsoft SQL Server 2022, and General Distribution Releases for Microsoft SQL Server 2016, 2017 and 2019.

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.\n 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.

AWS Console Mobile App now offers access to 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.\n 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 VPC Reachability Analyzer and Amazon VPC Network Access Analyzer are now available in five additional 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).\n 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 QuickSight now supports connectivity to Apache Impala

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

Automated Reasoning checks is now available in Amazon Bedrock Guardrails

AWS announces the general availability of Automated Reasoning checks, a safeguard within Amazon Bedrock Guardrails that uses formal verification techniques to validate the accuracy and policy compliance of outputs from generative AI models. Automated Reasoning checks deliver up to 99% accuracy at detecting correct responses from LLMs - giving you provable assurance in detecting AI hallucinations while also assisting with ambiguity detection in model responses.\n Automated Reasoning checks provides a fundamentally different approach from traditional testing methods. Unlike sampling outputs for quality, Automated Reasoning checks offers mathematically rigorous guarantees that AI responses adhere to defined business rules and domain knowledge. This is especially valuable for enterprises in regulated industries that require unambiguous validation of AI outputs before deployment. Automated Reasoning checks in Amazon Bedrock Guardrails is now generally available in the US (N. Virginia), US (Ohio), US (Oregon), Europe (Frankfurt), Europe (Ireland), and Europe (Paris) Regions. Customers can access the service through the Amazon Bedrock console, as well as the Amazon Bedrock Python SDK. To learn more about Automated Reasoning checks and how you can integrate it into your generative AI workflows, please visit the Amazon Bedrock documentation. You can also reach out to your AWS account team or an AWS Solutions Architect to discuss your specific use case and requirements. CloudFormation support will be coming soon. Read the news blog, review the documentation, or visit the Guardrails webpage to learn more.

OpenAI open weight models now in Amazon Bedrock and Amazon SageMaker JumpStart

AWS continues to expand access to the most advanced foundation models with OpenAI open weight models now available in Amazon Bedrock and Amazon SageMaker JumpStart. Accessing these new open weight models from OpenAI on AWS, gpt-oss-120b and gpt-oss-20b, gives you more freedom to innovate and choose the optimal models for your specific use cases while maintaining complete control over your data.\n These OpenAI open weight models excel at coding, scientific analysis, and mathematical reasoning tasks, with performance comparable to leading alternatives. Both feature a 128K context window and adjustable reasoning levels (low/medium/high) to match specific requirements. They support external tool integration and can be used in agentic workflows through frameworks like Strands Agents. With full chain-of-thought output capabilities, you get detailed visibility into the model’s reasoning process. Access these models through Amazon Bedrock’s unified API, allowing you to seamlessly experiment and switch between providers without rewriting code. You can use the OpenAI SDK to call Amazon Bedrock directly by simply updating the endpoint. The models give you the flexibility to modify and customize them for your specific business needs while benefiting from enterprise-grade security and seamless scaling. The new OpenAI open weight models are now available in Amazon Bedrock in the US West (Oregon) AWS Region, while Amazon SageMaker JumpStart supports these models in the US East (Ohio, N. Virginia) and Asia Pacific (Mumbai, Tokyo) AWS Regions. Deploy them through either Amazon Bedrock’s serverless experience or Amazon SageMaker JumpStart’s comprehensive machine learning development capabilities. To learn more, read the blog, product page, and Amazon Bedrock pricing. Get started today in the Amazon Bedrock console or Amazon SageMaker AI console.

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