AWS Bedrock

AWS IoT Greengrass Component SDK for C, C++, and Rust Released

We're excited to announce the launch of a new Greengrass component SDK for AWS IoT Greengrass applications. This new SDK addresses the challenge of deploying sophisticated applications on edge devices with limited resources, enabling industries such as automotive, industrial IoT, robotics, and smart buildings to run more complex AI and ML workloads at the edge. Moreover, the new SDK maintains full compatibility with both AWS IoT Greengrass nucleus and nucleus lite capabilities. The new Greengrass component SDK offers significant memory footprint reduction, with a footprint of less than 0.5MB compared to 30MB, enabling deployment on resource-constrained devices. It provides native C, C++, and Rust bindings, optimized for performance and cost-critical embedded applications. This SDK opens new possibilities for edge computing applications where memory constraints have previously been a limiting factor. The new Greengrass component SDK is available in all AWS Regions where AWS IoT Greengrass is available.

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AWS releases Smithy-Java client framework for Java

AWS today announced the general availability of Smithy-Java, an open-source Java framework for generating type-safe clients and standalone classes from Smithy models. Smithy-Java addresses one of the most consistently requested capabilities from enterprise Smithy users: production-grade Java SDK generation. The framework allows you to generate clients from models and async patterns that increase cognitive load and maintenance burden for developers building modern Java applications. Built on Java 21's virtual threads, Smithy-Java provides a blocking-style API that is both simpler to use and competitive in performance with complex async alternatives. Key benefits include auto-generated type-safe clients from Smithy, protocol flexibility with runtime protocol swapping for gradual migration paths. The GA release includes the Java client code generator, support for AWS SigV4 and all major AWS protocols (AWS JSON, REST-JSON, REST-XML, AWS Query, and Smithy RPCv2-CBOR), standalone type code generation for sharing types across multiple services or data modeling, and a dynamic client that can call Smithy services without a codegen step. The framework pioneers two architectural innovations: schema-driven serialization that reduces SDK size while improving performance, and binary decision diagrams (BDD) for endpoint rules resolution delivering significant latency improvements. Internal Amazon teams have already built complete services in weeks rather than months using Smithy-Java, with service teams depending on it internally. The framework is ideal for organizations invested in the Smithy ecosystem, teams requiring protocol-agnostic development, and developers building new services with generated server stubs. To learn more, visit our blog post and follow the Smithy Java Quickstart guide .

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Amazon FSx for OpenZFS now available in AWS Asia Pacific (Melbourne)

Customers can now create Amazon FSx for OpenZFS file systems in the AWS Asia Pacific (Melbourne) Region, providing fully managed shared file storage built on the OpenZFS file system. Amazon FSx makes it easier and more cost effective to launch, run, and scale feature-rich, high-performance file systems in the cloud. It supports a wide range of workloads with its reliability, security, scalability, and broad set of capabilities. Amazon FSx for OpenZFS provides fully managed, cost-effective, shared file storage powered by the popular OpenZFS file system, and is designed to deliver sub-millisecond latencies and multi-GB/s throughput along with rich ZFS-powered data management capabilities (like snapshots, data cloning, and compression). To learn more about Amazon FSx for OpenZFS, visit our product page , and see the AWS Region Table for complete regional availability information.

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Amazon WorkSpaces Personal gains unique DNS names for PrivateLink VPC endpoints

Amazon WorkSpaces Personal now provides unique, publicly resolvable Domain Name System (DNS) names for each AWS PrivateLink Virtual Private Cloud (VPC) endpoint, enabling enterprise customers to deploy WorkSpaces across multiple AWS VPCs and accounts without DNS resolution conflicts. Each interface VPC endpoint now receives a globally unique AWS-managed DNS name in addition to the previous generic DNS name that was shared across all endpoints. This enhancement enables customers to route traffic appropriately in multi-account environments with centralized DNS infrastructure. Customers can now deploy WorkSpaces Personal directories across different VPCs and AWS accounts while maintaining proper security isolation, eliminating the DNS name collision that previously prevented customers from using separate interface VPC endpoints across accounts. The publicly resolvable DNS names simplify configuration while maintaining security, as they resolve to private IP addresses accessible only from within the respective VPC. The unique DNS names are automatically managed by AWS throughout their lifecycle, requiring no additional Route 53 configuration or custom DNS management. This feature is available in all AWS regions where PrivateLink is available in Amazon WorkSpaces Personal. To learn more, see Amazon WorkSpaces PrivateLink documentation . For configuration details, refer to the WorkSpaces Administration Guide . Existing customers will automatically benefit from this enhancement, as the system maintains backward compatibility with previous DNS configurations.

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Amazon Verified Permissions adds policy store aliases and named policies

Today, AWS announces support for policy store aliases and named policies and policy templates in Amazon Verified Permissions, simplifying multi-tenant deployments and day-to-day policy management. Amazon Verified Permissions is a fine-grained authorization service that helps you manage and enforce permissions across your applications using Cedar policies. These new capabilities eliminate the need to maintain separate mapping tables for associating tenant identifiers with policy store IDs or tracking individual policy and template IDs. With policy store aliases, multi-tenant application developers can assign a human-readable alias based on a tenant identifier and use it in any API call, removing the need for a lookup table. Similarly, named policies and policy templates let you reference policies by meaningful names instead of system-generated IDs, making it easier to manage authorization logic as your application grows. Amazon Verified Permissions policy store aliases and named policies and templates are available in all AWS Regions where Amazon Verified Permissions is available. For a full list of supported Regions, see Amazon Verified Permissions endpoints and quotas . To get started, see Policy store aliases and Creating static policies in the Amazon Verified Permissions User Guide, or visit the Amazon Verified Permissions API Reference .

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Amazon SageMaker Unified Studio adds notebook import/export and developer acceleration

Amazon SageMaker Unified Studio notebooks now support import/export capabilities, enabling migration from JupyterLab and other notebook platforms. This release also introduces developer acceleration features including cell reordering, keyboard shortcuts, cell renaming, and multi-line SQL support, designed to enhance productivity for data engineers and data scientists professionals working with notebook-based workflows. The new import/export functionality supports .ipynb, .json, and .py formats while preserving cell types, metadata, and outputs, making platform migration straightforward. You can export notebooks in four formats including Jupyter notebook with requirements (.zip), standard .ipynb, Python scripts (.py), and SageMaker Unified Studio native format (.json). Developer acceleration features enable you to reorder cells without copy-paste duplication, assign custom names to cells for improved navigation in large notebooks, use familiar keyboard shortcuts for faster development, and execute multiple SQL statements in a single cell with results displayed in separate tabs for easy comparison and analysis. This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is available . To learn more, visit the Amazon SageMaker Unified Studio marketing page and user guide .

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AWS Certificate Manager adds native certificate search

AWS Certificate Manager (ACM) now provides a search bar in the console that customers can use to find certificates using one or more certificate parameters such as domain name, certificate ARN, and/or certificate validity. For example, ACM users who manages multiple certificates can search for certificates with specific domains that are due to expire soon. To get started, use the new SearchCertificates API , or navigate to the ACM console and use the search bar to search by one or more certificate parameters. This feature is available in all Public AWS, AWS China, and AWS GovCloud regions. To learn more about this feature, please refer to Search Certificates . You can learn more about ACM and get started here .

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Amazon Aurora PostgreSQL Compatibility Updated to Version 17.9

Amazon Aurora PostgreSQL-Compatible Edition now supports PostgreSQL versions 17.9, 16.13, 15.17, and 14.22 that includes bug fixes from the PostgreSQL community and Aurora-specific enhancements. We recommend upgrading to the latest minor versions to address known security vulnerabilities and benefit from these improvements, as detailed in these release notes . You can upgrade your databases during scheduled maintenance windows using automatic minor version upgrades. To simplify operations at scale, enable automatic minor version upgrades and use the AWS Organizations Upgrade Rollout Policy to orchestrate thousands of upgrades in phases, first to development environments before upgrading production systems. You can also use Aurora's zero-downtime patching to minimize downtime for minor version upgrades. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full PostgreSQL compatibility. It provides scale-to-zero serverless compute, Aurora Global Database for multi-Region resilience, Aurora I/O-Optimized for improved price performance on I/O-intensive workloads, and built-in security and continuous backups. To get started, take a look at our getting started page .

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AWS Deadline Cloud announces AI-powered troubleshooting assistant

AWS Deadline Cloud announces AI-powered troubleshooting assistant for render jobs, automating diagnostics and reducing manual troubleshooting time.

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SageMaker HyperPod now supports flexible instance groups

Amazon SageMaker HyperPod now supports flexible instance groups, providing improved resource management and cost optimization for distributed training workloads.

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SageMaker JumpStart optimized for foundation models

SageMaker JumpStart now offers optimized deployments for foundation models, enabling faster and more cost-effective model deployment for AI/ML workloads.

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AWS Transfer Family adds IPv6 support for connectors and web apps

AWS Transfer Family announces Internet Protocol version 6 (IPv6) support for SFTP connectors, AS2 connectors, and Transfer Family web apps. This enhancement enables your connectors to reach remote servers and trading partners over IPv6 and allows end users to access Transfer Family web apps using IPv6. AWS Transfer Family offers fully managed support for file transfers over SFTP, AS2, FTPS, FTP, and web browser-based transfers. With IPv6 support for connectors, you can now reach trading partners and remote servers that have adopted IPv6, eliminating connectivity barriers as partners transition away from IPv4. For Transfer Family web apps, IPv6 support enables end users to upload and download files from IPv6-native networks and devices. With dual-stack support across both connectors and web apps, you can communicate with both IPv4 and IPv6 systems and transition at your own pace. AWS Transfer Family IPv6 support for SFTP connectors, AS2 connectors, and web apps is available in the majority of AWS regions where AWS Transfer Family is offered. For the full list of supported regions, visit the AWS Capabilities tool in Builder Center. To learn more, visit the Transfer Family User Guide .

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Amazon Braket adds Rigetti's 108-qubit Cepheus QPU

Amazon Braket, the quantum computing service from AWS, now offers access to Rigetti's Cepheus-1-108Q device, the first 100+ qubit superconducting quantum processing unit (QPU) available on Amazon Braket. Cepheus-1-108Q uses Rigetti's modular multi-chip architecture, consisting of a 3x4 array of twelve 9-qubit chiplets with tunable couplers and intermodule couplers between chiplets. Cepheus-1-108Q introduces CZ (controlled phase) gates, replacing the iSWAP gates used on previous Rigetti QPUs. CZ gates provide higher resilience to phase errors common in superconducting systems, and Rigetti's adiabatic CZ implementation further reduces leakage errors. These improvements enable customers to run deeper circuits for use cases such as chemical simulation, combinatorial optimization, and machine learning. Customers can build and run quantum programs using the Braket SDK or other frameworks such as Qiskit, CUDA-Q, and Pennylane. Pulse-level control is also available for researchers who need low-level hardware access to study noise, develop gates, or devise error mitigation schemes. Cepheus-1-108Q is available in the US West (N. California) Region. Get started by viewing the device on the Amazon Braket Management Console, reading our Amazon Braket documentation , or applying for AWS credits to support experiments on Amazon Braket through the AWS Cloud Credits for Research program.

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Amazon RDS for Oracle supports M8i and R8i instances

Amazon RDS for Oracle now supports M8i and R8i instances. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i and R8i instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. M8i and R8i instances are available for Amazon RDS for Oracle in Bring Your Own License model for Oracle Database Enterprise Edition (EE) and Oracle Database Standard Edition 2 (SE2) . To use the new M8i and R8i instances, you can modify your existing RDS database instance or create a new RDS database instance from the RDS Management Console, or using the AWS SDK or CLI. See Amazon RDS for Oracle Pricing for up-to-date pricing and regional availability.

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Amazon S3 Files announced — file system access to S3 data

S3 Files delivers a shared file system that connects any AWS compute resource directly with your data in Amazon S3. With S3 Files, Amazon S3 is the first and only cloud object store that provides fully-featured, high-performance file system access to your data. It provides full file system semantics and low-latency performance, without your data ever leaving S3. That means file-based applications, agents, and teams can now access and work with your S3 data as a file system using the tools they already depend on. Built using Amazon EFS, S3 Files gives you the performance and simplicity of a file system with the scalability, durability, and cost-effectiveness of S3. You no longer need to duplicate your data or cycle it between object storage and file system storage. S3 Files maintains a view of the objects in your bucket and intelligently translates your file system operations into efficient S3 requests on your behalf. Your file-based applications run on your S3 data with no code changes, AI agents persist memory and share state across pipelines, and ML teams run data preparation workloads without duplicating or staging files first. Now, file-based tools and applications across your organization can work with your S3 data directly from any compute instance, container, and function using the tools your teams and agents already depend on. Organizations store their analytics data and data lakes in S3, but file-based tools, agents, and applications have never been able to directly work with that data. Bridging that gap meant managing a separate file system, duplicating data, and building complex pipelines to keep object and file storage in sync. S3 Files eliminates that friction and overhead. Using S3 Files, your data is accessible through the file system and directly through S3 APIs at the same time. Thousands of compute resources can connect to the same S3 file system simultaneously, enabling shared access across clusters without duplicating data. S3 Files works with al

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Amazon SageMaker adds Serverless Workflows to Identity Center domains

Amazon SageMaker Unified Studio now supports Serverless Workflows in Identity Center domains.  With this launch, customers using Identity Center domains can orchestrate data processing tasks with Apache Airflow (powered by Managed Workflows for Apache Airflow ) without provisioning or managing Airflow infrastructure. Serverless Workflows were previously available only in IAM-based domains. Serverless Workflows automatically provision compute resources when a workflow runs and release them when it completes, so you only pay for actual workflow run time. Each workflow runs with its own execution role and isolated worker, providing workflow-level security and preventing cross-workflow interference. With Serverless Workflows, Identity Center domain customers also get access to the Visual Workflow experience with support for around 200 operators, including built-in integration with AWS services such as Amazon S3, Amazon Redshift, Amazon EMR, AWS Glue, and Amazon SageMaker AI. Serverless Workflows in Identity Center domains are available in all AWS Regions where SageMaker Unified Studio is supported . To learn more, visit the Serverless Workflows documentation .

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Amazon Bedrock adds Claude Mythos Preview for Cybersecurity

Amazon Bedrock, the platform for building generative AI applications and agents at production scale, now offers Claude Mythos Preview in gated research preview as part of Project Glasswing. Claude Mythos Preview is Anthropic's most advanced AI model to date, representing a fundamentally new model class with state-of-the-art capabilities across cybersecurity, software coding, and complex reasoning tasks. The model can identify sophisticated security vulnerabilities in software and demonstrate exploitability, comprehending large codebases and delivering actionable findings with less manual guidance than previous AI models. This enables security teams to accelerate defensive cybersecurity work, find and fix security vulnerabilities in the world's most critical software, and address these issues before threats emerge. Claude Mythos Preview signals an upcoming wave of AI models with powerful cybersecurity capabilities. Anthropic and AWS are taking a deliberately cautious approach to release, prioritizing internet-critical companies and open-source maintainers whose software and digital services impact hundreds of millions of users. This approach gives defenders the opportunity to strengthen their codebases and share what they learn so the whole industry can benefit. Claude Mythos Preview is available in gated preview in the US East (N. Virginia) Region through Amazon Bedrock . Access is limited to an initial allow-list of organizations. If your organization has been allow-listed, your AWS account team will reach out directly. For AWS CISO Amy Herzog's perspective on this launch and what it means for the future of cybersecurity, read Building AI Defenses at Scale: Before the Threats Emerge .

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Amazon Lightsail now available in Asia Pacific (Malaysia) Region

Starting today, Amazon Lightsail is available in the Asia Pacific (Malaysia) Region. This expansion brings the power and simplicity of Lightsail to customers in Malaysia and surrounding regions. With this launch, customers in Malaysia and nearby countries can now enjoy lower latency and better performance for their applications while meeting local data residency requirements. The new Region provides access to Lightsail's full range of features including instances that meet your compute needs—from general purpose to compute-optimized and memory-optimized bundles—as well as managed databases, containers, load balancers and more, all with the same simple, predictable pricing that Lightsail customers love. Lightsail is available in these AWS Regions: US East (Ohio, N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt, Ireland, London, Paris, Stockholm), Asia Pacific (Malaysia, Jakarta, Mumbai, Seoul, Singapore, Sydney, Tokyo). To learn more about Regions and Availability Zones for Lightsail, please refer to the documentation. You can use this Region through the Lightsail Console , AWS Command Line Interface (CLI) and AWS SDKs .

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AWS Cost Explorer adds Natural Language Query with Amazon Q

AWS Cost Explorer now brings Amazon Q Developer's generative AI capabilities directly into your cost analysis workflows. You can now use natural language queries to ask Amazon Q questions about your AWS cost and usage data. In addition to providing answers to your question, you now also receive automatically updated visualizations in Cost Explorer. This enables faster cost analysis, reduces time to insights, and makes cost visibility accessible to every team member. With this launch, you can start your cost analysis with the new suggested prompts in Cost Explorer. These prompts include commonly asked cost questions like "Show me my top spending services for this month." Amazon Q provides detailed insights while Cost Explorer simultaneously updates with the corresponding visualization, filters, and groupings. You can also ask custom questions in your own words using the new 'Ask Question' button, exploring your spending patterns conversationally. Cost Explorer automatically updates charts and tables when analysis is based on your cost and usage data. When Amazon Q compiles insights from additional datasets such as pricing or anomaly detection, visualizations are displayed in Amazon Q's new artifacts panel. You can continue the conversation with follow-up questions while maintaining full context, allowing you to go from a quick cost check to a deep investigation without switching tools or breaking your workflow. Natural language cost analysis for AWS Cost Explorer is available today in all commercial AWS Regions at no additional charge. To learn more, visit AWS Cost Explorer . To get started, see the user guide .

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AWS Lambda expands response streaming to all AWS Regions

AWS Lambda response streaming is now available in all commercial AWS Regions, bringing full regional parity for this capability. Customers in newly supported Regions can use the InvokeWithResponseStream API to progressively stream response payloads back to clients as data becomes available. Response streaming enables functions to send partial responses to clients incrementally rather than buffering the entire response before transmission. This reduces time-to-first-byte (TTFB) latency and is well suited for latency-sensitive workloads such as LLM-based applications as well as web and mobile applications where users benefit from seeing responses appear incrementally. Response streaming supports payloads up to a default maximum of 200 MB. With this expansion, customers in all commercial Regions can stream responses using the InvokeWithResponseStream API through a supported AWS SDK, or through Amazon API Gateway REST APIs with response streaming enabled. Response streaming supports Node.js managed runtimes as well as custom runtimes. Streaming responses incur an additional cost for network transfer of the response payload. You are billed based on the number of bytes generated and streamed out of your Lambda function over the first 6 MB. To get started with Lambda response streaming, visit the AWS Lambda documentation .

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