12/16/2025, 12:00:00 AM ~ 12/17/2025, 12:00:00 AM (UTC)

Recent Announcements

AWS IoT Device Management Commands now supports dynamic payloads

AWS IoT Device Management commands now supports dynamic payload functionality, enabling developers to create reusable command templates with placeholders that can be replaced with different values during command execution. The enhancement also includes parameter validation rules to verify that parameter values conform to specified criteria before execution. With this update, developers can now set parameters for the command during runtime, making it easier for them to re-use a command.\n This feature is ideal for scenarios where you need to send similar commands with different parameter values to your Internet of Things (IoT) devices. For example, instead of creating separate commands to set different temperature values of a thermostat, you can now create one template with a temperature placeholder and specify the actual value during runtime. This template-based approach helps streamline command management for applications, such as adjusting device configurations or controlling smart home devices with variable settings. 

AWS IoT Device Management commands with dynamic payload support is available in all AWS Regions where AWS IoT Device Management is currently available. To learn more about dynamic payloads and payload templates, visit AWS IoT Device Management Commands Developer Guide.

AWS Direct Connect announces new location in Hanoi, Vietnam

Today, AWS announced the opening of a new AWS Direct Connect location within the CMC Tower in Hanoi, Vietnam. You can now establish private, direct network access to all public AWS Regions (except those in China), AWS GovCloud Regions, and AWS Local Zones from this location. This site is the first AWS Direct Connect location in Vietnam. This Direct Connect location offers dedicated 1 Gbps, 10 Gbps, and 100 Gbps connections, with MACsec encryption available for 10 Gbps and 100 Gbps connections. \n The Direct Connect service enables you to establish a private, physical network connection between AWS and your data center, office, or colocation environment. These private connections can provide a more consistent network experience than those made over the public internet.  For more information on the over 149 Direct Connect locations worldwide, visit the locations section of the Direct Connect product detail pages. Or, visit our getting started page to learn more about how to purchase and deploy Direct Connect.

AWS Artifact enables access to previous versions of compliance reports

AWS Artifact now enables direct access to previous versions of AWS compliance reports, eliminating the need to contact AWS Support or account representatives. This self-service capability helps customers efficiently manage their compliance documentation requirements, particularly during audits and vendor assessments that require historical compliance evidence.\n To access previous report versions, you need the “artifact:ListReportVersions” IAM permission, which is included in the AWS managed policy “AWSArtifactReportsReadOnlyAccess”. If you’re unable to view previous versions of reports in the AWS Artifact console, please contact your AWS account administrator to request this permission. Once authorized, you can access previous versions of compliance reports (such as SOC, ISO, and C5) directly through the AWS Artifact console. Simply navigate to the reports page and select any report to view its available versions. The availability of previous report versions varies by compliance program, with some reports offering versions from multiple prior years while others may have more limited historical coverage. This feature is now generally available in US East (N. Virginia) and AWS GovCloud (US-West) Regions. To learn more about accessing previous versions of compliance reports, visit the AWS Artifact documentation. For general information about AWS Artifact, see the AWS Artifact product page.

Amazon EC2 M8i instances are now available in additional Regions

Starting today, Amazon EC2 M8i instances are now available in Asia Pacific (Seoul), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), and Canada (Central) Regions. 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 offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i instances, with even higher gains for specific workloads. The M8i instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i instances.\n M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i instance page or visit the AWS News blog.

AWS reduces publishing time for Carbon Footprint Data to 21 days or Less

AWS is now publishing your carbon footprint data in 21 days or less. Previously, the carbon footprint data was published with up to a three month data lag. Now, you have access to your carbon footprint data with estimates published between the 15th and the 21st of the month following your usage.\n With carbon footprint data available sooner, you have the insights needed to make more timely decisions about how and where your applications are running and identify opportunities to reduce emissions and costs through improved resource efficiency. Also, the CCFT dashboard maintains 38 months of data so you can view your carbon usage trends over time. To view your carbon footprint data, navigate to your carbon emissions data through the AWS Billing and Cost Management console. For more information about CCFT visit the CCFT capabilities and features page, review the CCFT user guides, and learn more by visiting the CCFT webpage.

Amazon SageMaker AI is now available in Asia Pacific (New Zealand)

Starting today, you can build, train, and deploy machine learning (ML) models in Asia Pacific (New Zealand).\n Amazon SageMaker AI is a fully managed platform that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker AI removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models.

To learn more and get started, see SageMaker AI documentation and pricing page.

AWS Security Incident Response introduces integration with Slack

AWS Security Incident Response now offers integration with the cloud-based team collaboration platform Slack, enabling you to prepare for, respond to, and recover from security events faster and more effectively while maintaining your existing notification and communication workflows. With the bidirectional integration, you can create and update cases in both the Security Incident Response console and Slack with automatic data replication. Each Security Incident Response case is represented as a dedicated Slack channel, while comments and attachments sync instantly. This gives responders immediate access to critical case information and enables more efficient collaboration regardless of tool preference.\n The integration helps security teams engage faster and accelerate response times by automatically adding Security Incident Response watchers to the corresponding Slack channel. This integration is available as an open-source solution on GitHub, providing customers and partners the opportunity to customize and extend the functionality. The integration leverages EventBridge which allows customers to continue using their existing security incident management and notification tooling, while leveraging AWS Security Incident Response capabilities. The solution features a modular architecture, and includes guidance on how to use Amazon Q Developer, Kiro, or similar AI assistants that help make it easy to add new integration targets beyond Slack. To get started with the AWS Security Incident Response Slack integration, visit our GitHub repository. Visit our technical documentation for Slack for implementation details. Learn more about AWS Security Incident Response in the service’s User Guide.

Amazon Quick Suite now supports memory for chat agents

We are announcing memory for chat agents in Amazon Quick Suite – a feature that allows users to get personalized responses based on their previous conversations. With this feature, Quick Suite remembers the preferences users specify in chat and generate responses that are tailored to them. Users can also view their inferred preferences and remove any memory they don’t want Quick chat agents to use.\n Previously, chat users needed to repeat their preferences around response format, acronyms, dashboards, and integrations in every conversation. They also had to clarify ambiguous topics and entities in chat, increasing the tedious back and forth needed to get accurate and insightful responses. Memory addresses this pain point by remembering facts and details about users in a way that ensures responses provided to users continuously learn and improve. Users also control what Quick Suite remembers about them – all the memories are viewable and removable by users, and users have the choice to start chat in Private Mode in which conversations are not used to infer memories. Memory in Quick Suite chat agents is available in US East (N. Virginia) and US West (Oregon). To learn more, visit the Amazon Quick Suite User Guide.

Amazon EC2 M8i-flex instances are now available in Asia Pacific (Sydney) Region

Starting today, Amazon EC2 M8i-flex instances are now available in Asia Pacific (Sydney) Region. 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-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i-flex instances, with even higher gains for specific workloads. The M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i-flex instances.\n M8i-flex instances are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They 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. To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i-flex instance page or visit the AWS News blog.

Amazon Quick Suite browser extension now supports Quick Flows

Amazon Quick Suite browser extension now supports Amazon Quick Flows, enabling you to run workflows directly within your web browser, eliminating the need to manually extract information from each web page. You can invoke workflows that you’ve created or that have been shared with you, and pass web page content as input—all without leaving your browser.\n This capability is great for completing routine tasks such as analyzing contract documents to extract key terms, or generating weekly reports from project dashboards that automatically notify stakeholders. Quick Flows in browser extension is available now in US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland). There are no additional charges for using the browser extension beyond standard Quick Flows usage. To get started, visit your Chrome, Firefox or Edge store page to install browser extension and sign in with your Quick Suite account. Once you sign in, look for the Flows icon below the chat box to invoke your flows. To learn more about invoking Quick Flows in browser extension, please visit our documentation.

AWS Clean Rooms publishes events for member invitations and table readiness to EventBridge

AWS Clean Rooms now publishes events to Amazon EventBridge for new member invitations and table readiness, delivering real-time insights and increasing transparency to collaboration members. Invited members to a collaboration now receive an EventBridge notification when invited to a Clean Rooms collaboration, making it easier for members to review new invitations and join collaborations. Collaboration members are also notified when AWS Entity Resolution resources are associated to a collaboration, such as ID mapping tables and ID namespaces, enabling you to automatically start analysis that uses related records across collaborators’ datasets. For example, when a publisher invites an advertiser to a collaboration, the publisher can automatically run their media planning analyses as soon as the advertiser has created their ID mapping table in the collaboration, reducing time-to-action from hours to minutes and increasing transparency between collaboration members.\n With AWS Clean Rooms, customers can create a secure data clean room in minutes and collaborate with any company on AWS or Snowflake to generate unique insights about advertising campaigns, investment decisions, and research and development. For more information about the AWS Regions where AWS Clean Rooms is available, see the AWS Regions table. To learn more about collaborating with AWS Clean Rooms, visit AWS Clean Rooms or AWS Entity Resolution.

Amazon Route 53 launches detailed metrics for Resolver endpoints

Starting today, you can enable Amazon CloudWatch metrics for Route 53 to monitor the performance and health of Route 53 Resolver endpoints and any target name servers associated with your outbound Resolver endpoints.\n Amazon Route 53 Resolver endpoints make hybrid cloud configurations easier to manage by enabling seamless DNS query resolution between your on-premises data center and Amazon Virtual Private Cloud (Amazon VPC). The new metrics can be enabled on CloudWatch for each of your Resolver endpoints allowing you to assess the response latency of DNS queries received by the Resolver endpoints, the number of query responses that resulted in SERVFAIL, NXDOMAIN, REFUSED, or FORMERR statuses. You can also view the availability of target name servers associated with outbound Resolver endpoints, by viewing the response latency of the target server, and the number of queries that resulted in a timeout. The new metrics make it easy for you to quickly evaluate the health of your Route 53 Resolver endpoints and the associated target name servers. To learn more about the metrics, read the documentation or visit the Route 53 VPC Resolver page. Standard CloudWatch and Resolver endpoint charges are applied for using the Route 53 Resolver endpoint detailed metrics. For more information, see Amazon CloudWatch pricing and Resolver endpoint pricing.

AWS Blogs

AWS Japan Blog (Japanese)

AWS Big Data Blog

Containers

AWS Database Blog

Artificial Intelligence

AWS Security Blog

AWS Storage Blog

Open Source Project

AWS CLI

Amplify for iOS

Amplify for Android

Bottlerocket OS