10/22/2025, 12:00:00 AM ~ 10/23/2025, 12:00:00 AM (UTC)

Recent Announcements

Amazon CloudWatch introduces interactive incident reporting

Amazon CloudWatch now offers interactive incident report generation, enabling customers to create comprehensive post-incident analysis reports in minutes. The new capability, available within CloudWatch investigations, automatically gathers and correlates your telemetry data, as well as your input and any actions taken during an investigation, and produces a streamlined incident report.\n Using the new feature you can automatically capture critical operational telemetry, service configurations, and investigation findings to generate detailed reports. Reports include executive summaries, timeline of events, impact assessments, and actionable recommendations. These reports help you better identify patterns, implement preventive measures, and continuously improve your operational posture through structured post incident analysis. The incident report generation feature is available in US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Hong Kong), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (Spain), and Europe (Stockholm). You can create their first incident report by first creating a CloudWatch investigation and then clicking “Incident report”. To learn more about this new feature, visit the CloudWatch incident reports documentation.

Amazon U7i instances now available in AWS US East (Ohio) Region

Starting today, Amazon EC2 High Memory U7i instances with 6TB of memory (u7i-6tb.112xlarge) are now available in the US East (Ohio) region. U7i-6tb instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-6tb instances offer 6TB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.\n 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. 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 High Memory instances page.

Amazon EKS Auto Mode now available in AWS GovCloud (US-East) and (US-West)

Amazon Elastic Kubernetes Service (Amazon EKS) Auto Mode is now available in the AWS GovCloud (US-East) and (US-West) regions. This feature fully automates compute, storage, and networking management for Kubernetes clusters. Additionally, EKS Auto Mode now supports FIPS-validated cryptographic modules through its Amazon Machine Images (AMIs) to help customers meet FedRAMP compliance requirements.\n EKS Auto Mode enables organizations to get Kubernetes conformant managed compute, networking, and storage for any new or existing EKS cluster. Its AMIs include FIPS-compliant cryptographic modules to help meet federal security standards for regulated workloads. EKS Auto Mode manages OS patching and updates, and strengthens security posture through ephemeral compute, making it ideal for workloads that require high security standards. It also dynamically scales EC2 instances based on demand, helping optimize compute costs while maintaining application availability. Amazon EKS Auto Mode is now available in AWS GovCloud (US-East) and (US-West). You can enable EKS Auto Mode in any EKS cluster running Kubernetes 1.29 and above with no upfront fees or commitments—you pay for the management of the compute resources provisioned, in addition to your regular EC2 costs. To get started with EKS Auto Mode, visit the Amazon EKS product page. For additional details, see the Amazon EKS User Guide and AWS GovCloud (US) documentation.

Amazon Location Service Introduces New Map Styling Features for Enhanced Customization

Today, AWS announced enhanced map styling features for Amazon Location Service, enabling users to further customize maps with terrain visualization, contour lines, real-time traffic data, and transportation-specific routing information. Developers can create more detailed and informative maps tailored for various use cases, such as outdoor navigation, logistics planning, and traffic management, by leveraging parameters like terrain, contour-density, traffic, and travel-mode through the GetStyleDescriptor API.\n With these styling capabilities, users can overlay real-time traffic conditions, visualize transportation-specific routing information such as transit and trucks, and display topographic features through elevation shading. For instance, developers can display current traffic conditions for optimized route planning, show truck-specific routing restrictions for logistics applications, or create maps that highlight physical terrain details for hiking and outdoor activities. Each feature operates seamlessly, providing enhanced map visualization and reliable performance for diverse use cases. These new map styling features are available in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm), Europe (Spain), and South America (São Paulo). To learn more, please visit the Developer Guide.

Amazon CloudWatch Synthetics now supports bundled multi-check canaries

Amazon CloudWatch Synthetics introduces multi-check blueprints, enabling customers to create comprehensive synthetic tests using simple JSON configuration files. This new feature addresses the challenge many customers face when developing custom scripts for basic endpoint monitoring, which often lack the depth needed for thorough synthetic testing across various check types like HTTP endpoints with different authentication methods, DNS record validation, SSL certificate monitoring, and TCP port checks.\n With multi-check blueprints, customers can now bundle up to 10 different monitoring steps, one step per endpoint, in a single canary, making API monitoring more cost-effective and easier to implement. The solution provides built-in support for complex assertions on response codes, latency, headers, and body content, along with seamless integration with AWS Secrets Manager for secure credential handling. Customers benefit from detailed step-by-step results and debugging capabilities through the existing CloudWatch Synthetics console, significantly simplifying the process of implementing comprehensive API monitoring compared to writing individual custom canaries for each check. This feature streamlines monitoring workflows, reduces costs, and enhances the overall efficiency of synthetic monitoring setups. Multi-check blueprints are available in all commercial AWS regions where Amazon CloudWatch Synthetics is offered. For pricing details, see Amazon CloudWatch pricing. To learn more about multi-check blueprints and how to get started, see the CloudWatch Synthetics Canaries Blueprints documentation.

Amazon CloudWatch Agent adds support for Windows Event Log Filters

Amazon CloudWatch agent has added support for configurable Windows Event log filters. This new feature allows customers to selectively collect and send system and application events to CloudWatch from Windows hosts running on Amazon EC2 or on-premises. The addition of customizable filters helps customers to focus on events that meet specific criteria, streamlining log management and analysis.\n Using this new functionality of the CloudWatch agent, you can define filter criteria for each Windows Event log stream in the agent configuration file. The filtering options include event levels, event IDs, and regular expressions to either “include” or “exclude” text within events. The agent evaluates each log event against your defined filter criteria to determine whether it should be sent to CloudWatch. Events that don’t match your criteria are discarded. Windows event filters help you to manage your log ingestion by processing only the events you need, such as those containing specific error codes, while excluding verbose or unwanted log entries. Amazon CloudWatch Agent is available in all commercial AWS Regions, and the AWS GovCloud (US) Regions. To get started, see Create or Edit the CloudWatch Agent Configuration File in the Amazon CloudWatch User Guide.

Amazon S3 now generates AWS CloudTrail events for S3 Tables maintenance operations

Amazon S3 adds AWS CloudTrail events for table maintenance activities in Amazon S3 Tables. You can now use AWS CloudTrail to track compaction and snapshot expiration operations performed by S3 Tables on your tables.\n S3 Tables automatically performs maintenance to optimize query performance and lower costs of your tables stored in S3 table buckets. You can monitor and audit S3 Tables maintenance activities such as compaction and snapshot expiration as management events in AWS CloudTrail. To get started with monitoring, create a trail in the AWS CloudTrail console and filter for ‘AwsServiceEvents’ as the eventType and ‘TablesMaintenanceEvent’ as the eventName. AWS CloudTrail events for S3 Tables maintenance are now available in all AWS Regions where S3 Tables are available. To learn more, visit Amazon S3 Tables product page and documentation.

Amazon Redshift auto-copy is now available in 4 additional AWS regions

Amazon Redshift auto-copy is now available in the AWS Asia Pacific (Malaysia), Asia Pacific (Thailand), Mexico (Central), and Asia Pacific (Taipei) regions. With Auto-Copy, you can set up continuous file ingestion from your Amazon S3 prefix and automatically load new files to tables in your Amazon Redshift data warehouse without the need for additional tools or custom solutions.\n Previously, Amazon Redshift customers had to build their data pipelines using COPY commands to automate continuous loading of data from S3 to Amazon Redshift tables. With auto-copy, you can now setup an integration which will automatically detect and load new files in a specified S3 prefix to Redshift tables. The auto-copy jobs keep track of previously loaded files and exclude them from the ingestion process. You can monitor auto-copy jobs using system tables. To learn more, see the documentation or check out the AWS Blog.

Amazon DCV releases version 2025.0 with enhanced keyboard handling and WebAuthn support

AWS announces Amazon DCV 2025.0, the latest version of the high-performance remote display protocol that enables customers to securely access remote desktops and application sessions. This release focuses on enhancing user productivity and security while expanding platform compatibility for diverse use cases.\n Amazon DCV 2025.0 includes the following key features and improvements:

Enhanced WebAuthn redirection on Windows and standard browser-based WebAuthn support on Linux, enabling security key authentication (like Yubikeys, Windows Hello) in native Windows and SaaS applications within virtual desktop sessions

Linux client support for ARM architecture, further broadening compatibility and performance

Windows Server 2025 support, delivering latest security standards and enhanced performance on DCV hosts

Server side keyboard layout support and layout alignment for Windows clients, enhancing input reliability and consistency

Scroll wheel optimizations for smoother navigation

For more information about the new features and enhancements in Amazon DCV 2025.0, see the release notes or visit the Amazon DCV webpage to learn more and get started.

Amazon RDS for SQL Server enables encrypting native backups using server-side encryption with AWS KMS keys (SSE-KMS)

Amazon Relational Database Service (Amazon RDS) for SQL Server now supports encrypting native backups in Amazon S3 using server-side encryption with AWS KMS keys (SSE-KMS). When customers create database backup files (.bak files) in their Amazon S3 buckets, the backup files are automatically encrypted using server-side encryption with Amazon S3-managed keys (SSE-S3). Now, customers have the option to additionally encrypt their native backup files in Amazon S3 using their own AWS KMS key for additional protection.\n To use SSE-KMS encryption for native backups, customers must update their KMS key policies to provide access to the RDS backup service, and specify the parameter @enable_bucket_default_encryption in their native backup stored procedure. For detailed instructions on how to use SSE-KMS with native backups, please refer to the Amazon RDS for SQL Server User Guide. This feature is available in all AWS Regions where Amazon RDS for SQL Server is available.

Amazon RDS for SQL Server now supports retaining CDC configurations when restoring database backups

Amazon Relational Database Service (Amazon RDS) for SQL Server now allows maintaining Change Data Capture (CDC) settings and metadata when restoring native database backups. CDC is a Microsoft SQL Server feature that customers can use to record insert, update, and delete operations occurring in a database table, and make these changes accessible to applications. When a database is restored from a backup, CDC configurations and data are not preserved by default, which can result in gaps in data capture. With this new feature, customers can preserve their database CDC settings when restoring a database backup to a new instance, or a different database name.\n To retain CDC configurations, customers can specify the KEEP_CDC option when restoring a database backup. This option ensures that the CDC metadata and any captured change data are kept intact. Refer to the Amazon RDS for SQL Server User Guide to learn more about KEEP_CDC. This feature is available in all AWS Regions where Amazon RDS for SQL Server is available.

AWS’ Customer Carbon Footprint Tool now includes Scope 3 emissions data

Today, AWS’ Customer Carbon Footprint Tool (CCFT) has been updated to include Scope 3 emissions data and Scope 1 natural gas and refrigerants, providing AWS customers more complete visibility into their cloud carbon footprint. This update expands the CCFT to cover all three industry-standard emission scopes as defined by the Greenhouse Gas Protocol.\n The CCFT Scope 3 update gives AWS customers full visibility into the lifecycle carbon impact of their AWS usage, including emissions from manufacturing the servers that run their workloads, powering AWS facilities, and transporting equipment to data centers. Historical data is available back to January 2022, allowing organizations to track their progress over time and make informed decisions about their cloud strategy to meet their sustainability goals. This data is available through the CCFT dashboard and AWS Billing and Cost Management Data Exports, enabling customers to easily incorporate carbon insights into their operational workflows, sustainability planning, and reporting processes.

To learn more about the enhanced Customer Carbon Footprint Tool, visit the CCFT Website, AWS Billing and Cost Management console or read the updated methodology documentation and release notes.

Amazon DocumentDB (with MongoDB compatibility) now supports Graviton4-based R8g database instances

AWS Graviton4-based R8g database instances are now generally available for Amazon DocumentDB (with MongoDB compatibility). R8g instances are powered by AWS Graviton4 processors and feature the latest DDR5 memory, making it ideal for memory-intensive workloads. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads.\n Customers can get started with R8g instances through the AWS Management Console, CLI, and SDK by modifying their existing Amazon DocumentDB database cluster or creating a new one. R8g instances are available for Amazon DocumentDB 5.0 on both Standard and IO-Optimized cluster storage configurations. For more information including region availability visit our pricing page and documentation.

Amazon S3 Metadata is now available in three additional AWS Regions

Amazon S3 Metadata is now available in three additional AWS Regions: Europe (Frankfurt), Europe (Ireland), and Asia Pacific (Tokyo).\n Amazon S3 Metadata is the easiest and fastest way to help you instantly discover and understand your S3 data with automated, easily-queried metadata that updates in near real-time. This helps you to curate, identify, and use your S3 data for business analytics, real-time inference applications, and more. S3 Metadata supports object metadata, which includes system-defined details like size and source of the object, and custom metadata, which allows you to use tags to annotate your objects with information like product SKU, transaction ID, or content rating. S3 Metadata automatically populates metadata for both new and existing objects, providing you with a comprehensive, queryable view of your data. With this expansion, S3 Metadata is now generally available in six AWS Regions. For pricing details, visit the S3 pricing page. To learn more, visit the product page, documentation, and AWS Storage Blog.

AWS Parallel Computing Service (PCS) now supports rotation of cluster secret keys

AWS Parallel Computing Service (PCS) now supports rotation of cluster secret keys using AWS Secrets Manager, enabling you to update the secure credentials used for authentication between Slurm controller and compute nodes without creating a new cluster. Regularly rotating your Slurm cluster secret keys strengthens your security posture by reducing the risk of credential compromise and ensuring compliance with best practices. This helps keep your HPC workloads and accounting data safe from unauthorized access.\n PCS is a managed service that makes it easier to run and scale high performance computing (HPC) workloads on AWS using Slurm. With the support of cluster secret rotation in PCS, you can strengthen your security controls and maintain operational efficiency. You can now implement secret rotation as part of your security best practices while maintaining cluster continuity. This feature is available in all AWS Regions where PCS is available. You can rotate cluster secrets using either the AWS Secrets Manager console or API after preparing your cluster for the rotation process. Read more about PCS support for cluster secret rotation in the PCS User Guide.

Amazon MQ is now available in AWS Asia Pacific (New Zealand) Region

Amazon MQ is now available in the AWS Asia Pacific (New Zealand) Region with three Availability Zones and API name ap-southeast-6. With this launch, Amazon MQ is now available in a total of 38 regions.\n Amazon MQ is a managed message broker service for open-source Apache ActiveMQ and RabbitMQ that makes it easier to set up and operate message brokers on AWS. Amazon MQ reduces your operational responsibilities by managing the provisioning, setup, and maintenance of message brokers for you. Because Amazon MQ connects to your current applications with industry-standard APIs and protocols, you can more easily migrate to AWS without having to rewrite code. For more information, please visit the Amazon MQ product page, and see the AWS Region Table for complete regional availability.

Amazon EC2 C7i-flex instances are now available in the Asia Pacific (Jakarta) Region

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i-flex instances that deliver up to 19% better price performance compared to C6i instances, are available in the Asia Pacific (Jakarta) Region. C7i-flex instances expand the EC2 Flex instances portfolio to provide the easiest way for you to get price performance benefits for a majority of compute intensive workloads. The new instances are powered by the 4th generation Intel Xeon Scalable custom processors (Sapphire Rapids) that are available only on AWS, and offer 5% lower prices compared to C7i.\n C7i-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. With C7i-flex instances, you can seamlessly run web and application servers, databases, caches, Apache Kafka, and Elasticsearch, and more. For compute-intensive workloads that need larger instance sizes (up to 192 vCPUs and 384 GiB memory) or continuous high CPU usage, you can leverage C7i instances. To learn more, visit Amazon EC2 C7i-flex instances. To get started, see the AWS Management Console.

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