Today, AWS announces Amazon Aurora PostgreSQL-Compatible Edition integration with Kiro powers, enabling developers to build Aurora PostgreSQL backed applications faster with AI agent-assisted development using Kiro. https://kiro.dev/powers/ is a repository of curated and pre-packaged Model Context Protocol (MCP) servers, steering files, and hooks validated by Kiro partners to accelerate specialized software development and deployment use cases. Kiro power for Aurora PostgreSQL packages the MCP server with targeted database development guidance, giving the Kiro agent instant expertise in Aurora PostgreSQL operations and schema design. Kiro power for Aurora PostgreSQL bundles direct database connectivity through the Aurora PostgreSQL MCP server for data plane operations (queries, table creation, schema management), and control plane operations (cluster creation) and the steering file with Aurora PostgreSQL–specific best practices. When developers work on database tasks, the power dynamically loads relevant guidance – whether creating new Aurora clusters, designing schemas, or optimizing queries – so AI agents receive only the context needed for the specific task at hand. Aurora PostgreSQL power is available within https://kiro.dev/powers/#how-do-i-install-powers and https://kiro.dev/powers/ for one-click installation and can create and manage Aurora PostgreSQL clusters in all AWS Regions. For more information about development use cases, read this https://aws.amazon.com/blogs/database/introducing-amazon-aurora-powers-for-kiro/. To learn more about Aurora PostgreSQL MCP server, visit our https://awslabs.github.io/mcp/servers/postgres-mcp-server. Amazon Aurora is designed for unparalleled high performance and availability at global scale with full PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, and automated multi-Region replication. To get started with Amazon Aurora, visit our getting started page.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in the Asia Pacific (Hyderabad) Region. C7i instances are supported by custom Intel processors, available only on AWS. C7i instances deliver up to 15% better price-performance versus C6i instances and are a great choice for all compute-intensive workloads, such as batch processing, distributed analytics, ad-serving, and video encoding. C7i instances 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. C7i instances support new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. Customers can attach up to 128 EBS volumes to a C7i instance vs. up to 28 EBS volumes to a C6i instance. This allows processing of larger amounts of data, scale workloads, and improved performance over C6i instances. To learn more, visit https://aws.amazon.com/ec2/instance-types/c7i/. To get started, see the https://console.aws.amazon.com/.

Amazon Aurora DSQL now supports faster cluster creation, reducing setup time from minutes to seconds. With cluster creation now in seconds, developers can instantly provision Aurora DSQL databases to rapidly prototype new ideas. Developers can use the integrated query editor in the AWS console to immediately start building without needing to configure external clients or connect through the Aurora DSQL Model Context Protocol (MCP) server to enable AI-powered development tools. Whether prototyping or running production workloads, Aurora DSQL delivers virtually unlimited scalability, active-active high availability, zero infrastructure management, and pay-for-what-you-use pricing, ensuring your database effortlessly scales alongside your application needs. This enhancement is available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/. Get started with Aurora DSQL for free with the https://aws.amazon.com/free/?all-free-tier.sort-by=item.additionalFields.SortRank&all-free-tier.sort-order=asc&awsf.Free%20Tier%20Types=*all&awsf.Free%20Tier%20Categories=categories%23databases. To learn more, visit the Aurora DSQL https://aws.amazon.com/rds/aurora/dsql/ and https://docs.aws.amazon.com/aurora-dsql/latest/userguide/what-is-aurora-dsql.html.

Amazon WorkSpaces Secure Browser now includes Web Content Filtering, a comprehensive security and compliance feature that enables organizations to control and monitor web content access. This new capability allows administrators to define granular access policies, block specific URLs or entire domain categories using 25+ predefined categories, and seamlessly integrate with Session Logger for enhanced monitoring and compliance reporting. While existing Chrome policies for domain control remain supported, Web Content Filtering provides a more comprehensive way to control web access through category-based filtering and improved logging capabilities. Organizations can better manage their remote work security and compliance requirements through centralized policy management that scales across the enterprise. IT security teams can implement default-deny policies for high-security environments, while compliance officers benefit from detailed logging and monitoring capabilities. The feature maintains flexibility by allowing customized policies and exceptions based on specific business needs. This feature is available at no additional cost in 10 AWS Regions, including US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt, London, Ireland), and Asia Pacific (Tokyo, Mumbai, Sydney, Singapore). WorkSpaces Secure Browser offers pay-as-you go https://aws.amazon.com/workspaces/secure-browser/pricing/. To get started with WorkSpaces Secure Browser, see https://docs.aws.amazon.com/workspaces-web/latest/adminguide/getting-started.html. You can enable this feature in your AWS console and automatically migrate any browser policies for URL Blocklists or URL Allowlists. To learn more about the feature, please refer to the feature https://docs.aws.amazon.com/workspaces-web/latest/adminguide/web-content-filtering.html.

Amazon Web Services (AWS) announces the availability of high performance Storage Optimized Amazon EC2 I7i instances in AWS Asia Pacific (Singapore, Jakarta), Europe (Stockholm) regions. Powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, these instances deliver up to 23% better compute performance and more than 10% better price performance over previous generation I4i instances. Powered by 3rd generation AWS Nitro SSDs, I7i instances offer up to 45TB of NVMe storage with up to 50% better real-time storage performance, up to 50% lower storage I/O latency, and up to 60% lower storage I/O latency variability compared to I4i instances. I7i instances are ideal for I/O intensive and latency-sensitive workloads that demand very high random IOPS performance with real-time latency to access small to medium size datasets (multi-TBs). I7i instances support torn write prevention feature with up to 16KB block sizes, enabling customers to eliminate database performance bottlenecks. I7i instances are available in eleven sizes - nine virtual sizes up to 48xlarge and two bare metal sizes - delivering up to 100Gbps of network bandwidth and 60Gbps of Amazon Elastic Block Store (EBS) bandwidth. To learn more, visit the I7i instanceshttps://aws.amazon.com/ec2/instance-types/i7i/.

Amazon EC2 High Memory U7i instances with 24TB of memory (u7in-24tb.224xlarge) are now available in AWS Europe (Frankfurt), U7i instances with 16TB of memory (u7in-16tb.224xlarge) are now available in AWS Asia Pacific (Mumbai), and U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the AWS Europe (Paris) region. U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7in-24tb instances offer 24TiB of DDR5 memory, U7in-16tb instances offer 16TiB of DDR5 memory, and U7i-6tb instances offer 6TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i-6tb instances offer 448 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 100Gbps of network bandwidth, and support ENA Express. U7in-16tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 200Gbps of network bandwidth, and support ENA Express. U7in-24tb instances offer 896 vCPUs, support up to 100Gbps Elastic Block Storage (EBS) for faster data loading and backups, deliver up to 200Gbps of network bandwidth, and support ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server. To learn more about U7i instances, visit the https://aws.amazon.com/ec2/instance-types/u7i/.

Amazon Cognito identity pools now support AWS PrivateLink, enabling you to securely exchange federated identities for AWS credentials through private connectivity between your virtual private cloud (VPC) and Cognito. This eliminates the need to route authentication traffic over the public internet, providing enhanced security for your workloads. Identity pools map authenticated and guest identities to your AWS Identity and Access Management (IAM) roles and provide temporary AWS credentials, with this new feature, through a secure and private connection. You can use PrivateLink connections in all AWS Regions where Amazon Cognito identity pools are available, except AWS China (Beijing) Region, operated by Sinnet, and AWS GovCloud (US) Regions. Creating VPC endpoints on AWS PrivateLink will incur additional charges; refer to https://aws.amazon.com/privatelink/pricing/ for details. You can get started by creating an AWS PrivateLink VPC interface endpoint for Amazon Cognito identity pools using the AWS Management Console, AWS Command Line Interface (CLI), AWS Software Development Kits (SDKs), AWS Cloud Development Kit (CDK), or AWS CloudFormation. To learn more, refer to the documentation on https://docs.aws.amazon.com/vpc/latest/privatelink/create-interface-endpoint.html and https://docs.aws.amazon.com/cognito/latest/developerguide/vpc-interface-endpoints.html. 

AWS Application Migration Service (MGN) now supports Internet Protocol version 6 (IPv6) for both service communication and application migrations. Organizations can migrate applications that use IPv6 addressing, enabling transitions to modern network infrastructures. You can connect to AWS MGN using new https://docs.aws.amazon.com/general/latest/gr/mgn.html that support both IPv4 and IPv6 communications. When migrating applications, you can transfer replication data using IPv4 or IPv6 while maintaining network connections and security. Then, during testing and cutover phases, you can use your chosen network configuration (IPv4, IPv6, or dual-stack) to launch servers in your target environment. This feature is available in every AWS Region that supports AWS MGN and Amazon Elastic Compute Cloud (Amazon EC2) dual-stack endpoints. For supported regions, see the https://docs.aws.amazon.com/mgn/latest/ug/what-is-application-migration-service.html#supported-regions and https://docs.aws.amazon.com/ec2/latest/devguide/ec2-endpoints.html#ipv6 documentation. To learn more about AWS MGN, visit our https://aws.amazon.com/application-migration-service/ or https://docs.aws.amazon.com/mgn/latest/ug/getting-started.html. To get started, sign in to the https://console.aws.amazon.com/mgn/home Console.

https://aws.amazon.com/ecs/ (Amazon ECS) now supports custom container stop signals for Linux tasks running on AWS Fargate, honoring the stop signal configured in Open Container Initiative (OCI) images when tasks are stopped. The enhancement improves graceful shutdown behavior by aligning Fargate task termination with each container’s preferred termination signal. Previously, when an Amazon ECS task running on AWS Fargate was stopped, each Linux container always received SIGTERM followed by SIGKILL after the configured timeout. With the new behavior, the Amazon ECS container agent reads the stop signal from the container image configuration and sends that signal when stopping the task. Containers that rely on signals such as SIGQUIT or SIGINT for graceful shutdown can now run on Fargate with their intended termination semantics. If no STOPSIGNAL is configured, Amazon ECS continues to send SIGTERM by default. Customers can use custom stop signals on Amazon ECS with AWS Fargate by adding a STOPSIGNAL instruction (for example, STOPSIGNAL SIGQUIT) to their OCI‑compliant container images. Support for container‑defined stop signals is available in all AWS Regions. To learn more, refer to the https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-lifecycle-explanation.html.

https://aws.amazon.com/cloudwatch announces support for both the JSON and Concise Binary Object Representation (CBOR) protocols in the CloudWatch SDK, enabling lower latency and improved performance for CloudWatch customers. The SDK will automatically use JSON or CBOR as its new default communication protocol, offering customers a lower end-to-end processing latency as well as reduced payload sizes, application client side CPU, and memory usage. Customers use the CloudWatch SDK either directly or through Infrastructure as Code solutions to manage their monitoring resources. Reducing control plane operations latency and payload size helps customer optimize their operational maintenance and resources usage and costs. JSON and the CBOR data formats are standards designed to enable better performance over the traditional AWS Query protocol. The CloudWatch SDK for JSON and CBOR protocols support is available in all AWS Regions where Amazon CloudWatch is available and for all generally available AWS SDK language variants. To leverage the performance improvements, customers can install the https://docs.aws.amazon.com/sdkref/latest/guide/version-support-matrix.html. To learn more about the AWS SDK, see https://aws.amazon.com/developer/tools/.

Today, we are announcing that https://aws.amazon.com/elasticache/ now supports the WATCH command for same-slot transactions, helping developers build more reliable applications with improved data consistency in high-concurrency scenarios. With this launch, the WATCH command makes transactions conditional, ensuring they execute only when monitored keys remain unchanged. For ElastiCache Serverless, the WATCH command works with transactions that operate on keys within the same hash slot as the watched keys. When applications attempt to watch keys that are not in the same hash slot, they'll receive a CROSSSLOT error. Developers can control key placement by using hash tags in their key names to ensure keys hash to the same slot. The transaction will also be aborted when ElastiCache Serverless cannot guarantee the state of watched keys. WATCH command support is available in all AWS regions where ElastiCache Serverless is supported at no additional cost. To get started, create transactions using the WATCH command through your preferred client library. To learn more about conditional transactions and the WATCH command, see the https://docs.aws.amazon.com/AmazonElastiCache/latest/dg/serverless.html, and the Valkey https://valkey.io/topics/transactions/.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Asia Pacific (Sydney) region. These instances are powered by AWS Graviton4 processors and deliver up to 60% better performance than AWS Graviton2-based Amazon EC2 X2gd instances. X8g instances offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instance. They have the best price performance among EC2 X-series instances, and are ideal for memory-intensive workloads such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications. X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Elastic Fabric Adapter (EFA) networking support is offered on 24xlarge, 48xlarge, and bare metal sizes, and Elastic Network Adapter (ENA) Express support is available on instance sizes larger than 12xlarge. To learn more, see https://aws.amazon.com/ec2/instance-types/x8g/. To quickly migrate your workloads to Graviton-based instances, see https://aws.amazon.com/ec2/graviton/fast-start/. To get started, see the https://console.aws.amazon.com/, https://aws.amazon.com/cli/, and https://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/EC2.html.

Today, AWS announces the general availability of the new Amazon Elastic Block Storage (Amazon EBS) optimized Amazon Elastic Compute Cloud (Amazon EC2) C8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. At up to 150 Gbps of EBS bandwidth, these instances offer higher EBS performance compared to same-sized equivalent Graviton4-based instances. Take advantage of the higher block storage performance offered by these new EBS optimized EC2 instances to scale the performance and throughput of workloads such as high-performance file systems, while optimizing the cost of running your workloads. For increased scalability, these instances offer instance sizes up to 24xlarge, including a metal-24xl size, up to 192 GiB of memory, up to 150 Gbps of EBS bandwidth, up to 200 Gbps of networking bandwidth. These instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, metal-24xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. The new C8gb instances are available in US East (N. Virginia) and US West (Oregon) regions. Metal sizes are only available in US East (N. Virginia) region. To learn more, see https://aws.amazon.com/ec2/instance-types/c8g/ . To begin your Graviton journey, visit the https://aws.amazon.com/ec2/graviton/level-up-with-graviton/. To get started, see https://console.aws.amazon.com/, https://aws.amazon.com/cli/, and https://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/EC2.html.

Amazon Braket now supports Qiskit 2.0, enabling quantum developers to use the latest version of the most popular quantum software framework with native primitives and client-side compilation capabilities. With this release, Braket provides native implementations of Qiskit's Sampler and Estimator primitives that leverage Braket's program sets for optimized batching, reducing execution time and costs compared to generic wrapper approaches. The native primitives handle parameter sweeps and observable measurements service-side, eliminating the need for customers to implement this logic manually. Additionally, the bidirectional circuit conversion capability enables customers to use Qiskit's extensive compilation framework for client-side transpilation before submitting to Braket devices, providing the control and reproducibility that enterprise users and researchers require for device characterization experiments and custom compilation passes. Qiskit 2.0 support is available in all AWS Regions where Amazon Braket is available. To get started, see the https://qiskit-community.github.io/qiskit-braket-provider/ and the Amazon Braket https://docs.aws.amazon.com/braket/latest/developerguide/what-is-braket.html.

Today, AWS announces that AWS Support Center Console now support screen sharing for troubleshooting support cases. With this new feature, you can request a virtual meeting while in an active chat or call, join support calls with one click through a meeting bridge link. With the new virtual meetings, you will be able to share your screen during the meeting and maintain seamless access to case details for efficient troubleshooting. This enhancement simplifies your support experience by keeping all support interactions within the AWS Support Center console. To learn more visit the https://docs.aws.amazon.com/awssupport/latest/user/case-management.html.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8gn instances, powered by the latest-generation AWS Graviton4 processors, are available in the AWS US East (Ohio) and Middle East (UAE) Regions. The new instances provide up to 30% better compute performance than Graviton3-based Amazon EC2 C7gn instances. Amazon EC2 C8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. Take advantage of the enhanced networking capabilities of C8gn to scale performance and throughput, while optimizing the cost of running network-intensive workloads such as network virtual appliances, data analytics, CPU-based artificial intelligence and machine learning (AI/ML) inference. For increased scalability, C8gn instances offer instance sizes up to 48xlarge, up to 384 GiB of memory, and up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS). C8gn instances support Elastic Fabric Adapter (EFA) networking on the 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes, which enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters. C8gn instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (Oregon, N.California), Europe (Frankfurt, Stockholm), Asia Pacific (Singapore, Malaysia, Sydney, Thailand), Middle East (UAE) To learn more, see https://aws.amazon.com/ec2/instance-types/c8g/. To begin your Graviton journey, visit the https://aws.amazon.com/ec2/graviton/level-up-with-graviton/. To get started, see https://console.aws.amazon.com/, https://aws.amazon.com/cli/, and https://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/EC2.html.

Today, Amazon GameLift Servers is launching AI-powered assistance in the AWS Console, leveraging Amazon Q Developer to provide tailored guidance for game developers. This new feature integrates specialized GameLift Servers knowledge to help customers navigate complex workflows, troubleshoot issues, and optimize their game server deployments more efficiently. Developers can now access AI-assisted recommendations for game server integration, fleet configuration, and performance optimization directly within the AWS Console via Amazon GameLift Servers. This enhancement aims to streamline decision making processes, reduce troubleshooting time, and improve overall resource utilization, leading to cost savings and better player experiences. AI-powered assistance is now available in all Amazon GameLift Servers https://docs.aws.amazon.com/gameliftservers/latest/developerguide/gamelift-regions.html, except AWS China. To learn more about this new feature, visit the Amazon GameLift Servers https://docs.aws.amazon.com/gameliftservers/latest/developerguide/release-notes.html.

Amazon RDS and Aurora now support resource tagging for automated backups and cluster automated backups. You can now tag your automated backups separately from the parent DB instance or DB cluster, enabling Attribute-Based Access Control (ABAC) and simplifying resource management and cost tracking. With this launch, you can tag automated backups in the same way as other RDS resources using the AWS Management Console, API, or SDK. Use these tags with IAM policies to control access and permissions to automated backups. Additionally, these tags can help you categorize your resources by application, project, department, environment, and more, as well as manage, organize, and track costs of your automated backups. For example, create application specific tags to control permissions for describing, deleting, or restoring automated backups and to organize and track backup costs of the application. This capability is available in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/, including the AWS GovCloud (US) Regions where Aurora and RDS are available. To learn more about tagging https://aws.amazon.com/rds/aurora/ and https://aws.amazon.com/rds/ automated backups, see the Amazon documentation on https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_Tagging.html https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_Tagging.html, and https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/security_iam_service-with-iam.html#security_iam_service-with-iam-tags.

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8g instances are available in Europe (Stockholm) region. These instances are powered by AWS Graviton4 processors, and they offer up to 3 TiB of total memory and increased memory per vCPU compared to other Graviton4-based instances. X8g instances are ideal for memory-intensive workloads, such as electronic design automation (EDA) workloads, in-memory databases (Redis, Memcached), relational databases (MySQL, PostgreSQL), real-time big data analytics, real-time caching servers, and memory-intensive containerized applications. X8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 3TiB) than Graviton2-based X2gd instances. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). Elastic Fabric Adapter (EFA) networking support is offered on 24xlarge, 48xlarge, and bare metal sizes, and Elastic Network Adapter (ENA) Express support is available on instance sizes larger than 12xlarge. X8g instances are currently available in the following https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/: US East (N. Virginia, Ohio), US West (Oregon), and Europe (Frankfurt, Stockholm). To learn more, see https://aws.amazon.com/ec2/instance-types/x8g/. To quickly migrate your workloads to Graviton-based instances, see https://aws.amazon.com/ec2/graviton/fast-start/. To get started, see the https://console.aws.amazon.com/, https://aws.amazon.com/cli/, and https://docs.aws.amazon.com/AWSJavaScriptSDK/latest/AWS/EC2.html.

Today, AWS announces deal sizing capability in AWS Partner Central. This new feature, available within the APN Customer Engagements (ACE) Opportunities, uses AI to provide deal size estimates and AWS service recommendations. Deal Sizing capability allows Partners to save time on deal management by simplifying the process of estimating AWS monthly recurring revenue (MMR) when creating or updating opportunities. Partners can optionally import AWS Pricing Calculator URLs to automatically populate AWS service selections and corresponding spend estimates into their opportunities, reducing the need for manual re-entry. When a Pricing Calculator URL is provided, deal sizing delivers enhanced insights including pricing strategy optimization recommendations, potential cost savings analysis, Migration Acceleration Program (MAP) eligibility indicators, and modernization pathway analysis. These enhanced insights help Partners refine their technical approach and strengthen funding applications, accelerating the funding approval process. Deal sizing is now available in AWS Partner Central worldwide. The feature is accessible through both AWS Partner Central and the AWS Partner Central API for Selling, which is available in the US East (N. Virginia) Region. To get started, log in to https://aws.amazon.com/partners/partner-central/https://aws.amazon.com/partners/partner-central/ in the console to create or update opportunities and view deal sizing insights. For API integration with your CRM system, see the https://docs.aws.amazon.com/partner-central/latest/APIReference/welcome.html. To learn more about deal sizing, visit the https://docs.aws.amazon.com/partner-central/latest/sales-guide/creating-opportunity.html.

Today, AWS is announcing Spatial Data Management on AWS (SDMA), a solution that enables customers to store, enrich, and connect spatial data at scale. SDMA enables customers to store their multimodal spatial data representing their physical assets (3D, geospatial, behavioral, temporal data) in a secure, centralized cloud environment. SDMA serves as a collaborative hub enabling connectivity between customer’s spatial data, their ISV SaaS applications, and AWS Services. In addition, customers can use SDMA’s collection rules to define how their spatial data is organized and enriched, helping maintain consistency and governance. Customers can use SDMA’s APIs, desktop application, and web interface to efficiently manage spatial data to accelerate insights and informed decision making around physical operations. SDMA centralizes customer’s spatial data in a secure and highly available cloud repository to enhance data transparency and accessibility across workflows. Leveraging SDMA's automated metadata extraction for spatial data file formats, starting with: .LAZ, .E57, .GLB, and .GLTF, customers can improve data discoverability and relationships. SDMA’s REST APIs and customizable connectors simplify integrations with external applications — eliminating manual file handling and enhancing cloud and on-premises interoperability. SDMA's intuitive web and desktop interfaces enable users across technical skill levels to manage spatial data efficiently. Auto-generated file previews are designed to improve workflow speed and data accuracy, they allow users to view and validate data without downloading large files. SDMA is available in the following AWS regions: Asia Pacific (Tokyo, Singapore, Sydney), Europe (Frankfurt, Ireland, London), US East (N. Virginia, Ohio), US West (Oregon). To learn more, visit the https://aws.amazon.com/solutions/implementations/spatial-data-management-on-aws/.

Amazon Quick Suite now includes Quick Research as a step within Quick Flows. This integration enables teams to generate comprehensive research reports as part of automated, multi-step workflows, transforming research projects into reusable workflows that can be shared across their organization. Quick Suite is Amazon's new AI-powered workspace that helps organizations get answers from their business data and move quickly from insights to action. With this integration, teams can trigger research automatically within their flows rather than conducting separate analysis. This addresses a critical productivity challenge by enabling teams to capture and scale proven research methods across hundreds of automated use cases. The integration also allows users to automate research workflows through scheduled triggers so users can set up flows that automatically generate research at specific times. Common use cases include automated account plan creation, standardizing product compliance analysis, and scheduled industry reports. Users benefit from pre-configured flows that generate research based on flow creator instructions and optional user inputs. The generated research report can be used further to automatically trigger downstream actions like updating a Salesforce opportunity for an account team to follow up on, posting on a Jira ticket for a compliance team to review, or creating an Asana task for a patent lawyer to approve. This unlocks "set and forget" workflows that deliver consistent analysis without manual heavy lifting. Now operating within these automated workflows, Quick Research maintains its core strength of streamlining analysis across diverse enterprise data sources while delivering verified, source-traced insights. For existing Flow users, this provides access to more comprehensive analysis. Quick Research with Flows integration is available in the following https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland). To learn more about automating your research needs, read the https://docs.aws.amazon.com/quicksuite/latest/userguide/quick-research-steps-in-flows.html.  

AWS Directory Service for Microsoft Active Directory, also known as https://aws.amazon.com/directoryservice/, and https://docs.aws.amazon.com/directoryservice/latest/admin-guide/directory_ad_connector.html are now available in the Asia Pacific (New Zealand) Region. Built on actual Microsoft Active Directory (AD), AWS Managed Microsoft AD enables you to migrate AD-aware applications while reducing the work of managing AD infrastructure in the AWS Cloud. You can use your Microsoft AD credentials to domain join EC2 instances, and also manage containers and Kubernetes clusters. You can keep your identities in your existing Microsoft AD or create and manage identities in your AWS managed directory. AD Connector is a proxy that enables AWS applications to use your existing on-premises AD identities without requiring AD infrastructure in the AWS Cloud. You can also use AD Connector to https://docs.aws.amazon.com/directoryservice/latest/admin-guide/ad_connector_join_instance.html to your on-premises AD domain and manage these instances using your existing group policies. Please see all https://docs.aws.amazon.com/directoryservice/latest/admin-guide/regions.html where AWS Managed Microsoft AD and AD Connector are available. To learn more, see https://aws.amazon.com/directoryservice/

The week after AWS re:Invent builds on the excitement and energy of the event and is a good time to learn more and understand how the recent announcements can help you solve your challenges and unlock new opportunities. As usual, we have you covered with our top announcements of AWS re:Invent 2025 that you can […]

Today, https://aws.amazon.com/q/ (Q) added support for analyzing email sending in https://aws.amazon.com/ses/ (SES). Now customers can ask Q questions about their SES resource setup and usage patterns, and Q will help them optimize their configuration and troubleshoot deliverability problems. This makes it easier to manage SES operational activities with less technical knowledge. Previously, customers could use SES features such as https://docs.aws.amazon.com/ses/latest/dg/vdm.html to manage and explore their SES resource configuration and usage. SES provided convenient dashboard views and query tools to help customers find information, however customers needed deep understanding of email sending concepts to interact with the service. Now, customers can ask Q for help in optimizing resource configuration and troubleshooting deliverability challenges. Q will evaluate customer’s usage patterns and SES resource configuration, find the answers customers need, and help them understand the context without requiring pre-knowledge or manual exploration. Q supports SES resource analysis in all https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/ where SES and Q are available. For more information, see the https://docs.aws.amazon.com/amazonq/latest/qdeveloper-ug/chat-email.html for information about interacting with SES through Q.