Amazon Web Services 공식 소식을 한국어로 요약합니다.
최종 업데이트: 2026년 3월 30일 오후 11:00Amazon CloudWatch now supports multi-account and region log centralization based on data source
<p>Amazon CloudWatch centralization now supports centralizing logs based on <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/data-source-discovery-management.html" target="_blank" rel="noopener noreferrer">data source name and type</a>. CloudWatch allows customers to copy log data from multiple AWS accounts and regions into a single destination account using centralization rules. With today's launch, customers can now define rules that target data sources by name and type, such as VPC Flow Logs, EKS Audit Logs, and CloudTrail Logs, in addition to the existing log group name-based selection.</p> <p>Data source name and type are discovered automatically by CloudWatch for AWS service logs and are based on log group tags for application logs.&nbsp; Now, customers can specifically target which logs they want to centralize using these parameters. For example, a central security team can create a rule that centralizes all logs from CloudTrail and VPC data sources across their entire organization without needing to know or maintain a list of individual log group names.</p> <p>To get started, create or modify a centralization rule in the Amazon CloudWatch console or through the AWS CLI and AWS SDKs, and specify your data source selection criteria in the centralization rule configuration.</p> <p>Data source selection criteria is available in all AWS commercial regions where CloudWatch log centralization is available. Standard CloudWatch Logs pricing applies for log ingestion, storage, and data transfer. For more information, see the <a href="https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CloudWatchLogs_Centralization.html" target="_blank" rel="noopener noreferrer">CloudWatch Logs Centralization documentation.</a></p>
AWS Security Hub is now available in AWS GovCloud (US) Regions
<p>AWS Security Hub is now available in the AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions. Security Hub is a unified cloud security solution that prioritizes critical security issues and helps you respond at scale, reduce security risks, and improve team productivity.<br> <br> Security Hub detects critical risks by correlating and enriching security signals from Amazon GuardDuty, Amazon Inspector, and AWS Security Hub CSPM, enabling you to quickly surface and prioritize active risks in your cloud environment. The service delivers near real-time risk analytics and advanced trends, transforming correlated security signals into actionable insights through enhanced visualizations and contextual enrichment. You can enable Security Hub for individual accounts or across your entire organization with centralized deployment and management. Capabilities include exposure findings, security-focused resource inventory, attack path visualization, and automated response workflows. The service automatically visualizes potential attack paths by showing how adversaries could chain together threats, vulnerabilities, and misconfigurations to compromise critical resources. Streamlined pricing consolidates charges across multiple AWS security services for improved cost predictability.<br> <br> To get started, visit the <a href="https://console.aws.amazon.com/securityhub/">AWS Security Hub console</a> or the <a href="https://aws.amazon.com/security-hub/">AWS Security Hub product page</a>. For the full list of AWS Regions where Security Hub is available, see the <a href="https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/">AWS Regional Services List</a>.</p>
AWS HealthOmics introduces VPC-connected workflows
<p>AWS HealthOmics announces VPC-connected workflows, giving customers the ability to run bioinformatics pipelines that access AWS resources across regions and public internet resources through a customer’s Virtual Private Cloud (VPC). With this launch, life sciences customers no longer need to migrate their data and dependencies to the same AWS Region as their workflow before running analyses. <a href="https://aws.amazon.com/healthomics/">AWS HealthOmics</a> is a HIPAA-eligible service that helps accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows.</p> <p>This launch enables life sciences customers to develop and test bioinformatics workflows more quickly. Customers can design workflows that access publicly-hosted data sets as well as AWS resources in different regions without making changes to the workflow code or migrating data between regions. Customers can use new Configuration APIs to specify a VPC configured to access public internet resources to which HealthOmics can send and receive network traffic, making it easy to use different network configurations for different use cases. With Configuration APIs, you can add and remove public internet dependencies anytime. Networking settings are configured at the per-run level, allowing you to opt-in only the workflows that you want to be VPC connected.&nbsp;</p> <p>VPC-connected workflows are now available in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), Asia Pacific (Singapore), and Asia Pacific (Seoul). To learn more about connecting workflows to your VPC, see the HealthOmics <a href="https://docs.aws.amazon.com/omics/latest/dev/private-workflows.html">documentation</a>.</p>
AWS Elemental MediaTailor, 유럽(런던)에서 제공
AWS Elemental MediaTailor는 유럽(런던) AWS 리전에서 제공되며, 비디오 제공자가 실시간 및 온디맨드 비디오 스트림에 타겟팅 광고를 삽입할 수 있는 개인화된 광고 삽입 및 채널 조립 서비스입니다. MediaTailor는 서버 사이드 광고 삽입(SSAI) 및 서버 가이드드 광고 삽입(SGAI)을 통해 버퍼링이나 광고 차단과 같은 클라이언트 사이드 광고 삽입의 단점을 극복할 수 있습니다.
Amazon Athena launches Capacity Reservations in additional regions
<p><a href="https://aws.amazon.com/athena/">Amazon Athena</a> now offers Capacity Reservations in additional commercial AWS Regions. Capacity Reservations give you dedicated serverless capacity for your most important workloads. When you use Capacity Reservations, your queries run in isolation from other workloads in your account, and you control how many queries run concurrently.</p> <p>Capacity Reservations is now available in US West (N. California), Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Thailand), Asia Pacific (Taipei), Canada (Central), Canada West (Calgary), Europe (Frankfurt), Europe (London), Europe (Milan), Europe (Paris), Europe (Zurich), and Mexico (Central).<br> <br> To learn more, see <a href="https://docs.aws.amazon.com/athena/latest/ug/capacity-management.html">Manage query processing capacity</a> in the Athena User Guide.</p>
Amazon OpenSearch Service Console 및 Amazon EventBridge 이벤트를 통해 클러스터 인사이트에 접근
Amazon OpenSearch Service는 클러스터 인사이트에 대한 액세스를 AWS 관리 콘솔에 추가하여, 기존 OpenSearch UI Dashboards와 함께 제공합니다. 이 업데이트로 인해 클러스터 성능 및 내구성 추천을 검토하고 필요한 구성 변경을 콘솔 내에서 쉽게 수행할 수 있습니다. 또한, 클러스터 인사이트는 Amazon EventBridge 이벤트로 인사이트를 게시합니다.
Amazon SageMaker Data Agent가 Query Editor에 도입
Data Agent는 Query Editor를 통해 SQL 분석 워크플로에 자연어 기반 쿼리 생성, 오류 디버깅, 데이터 탐색 기능을 제공합니다. Data Agent는 노트북 경험을 넘어 Query Editor에서 사용할 수 있어, SQL 분석 워크플로를 더 빠르게 구축할 수 있습니다.
AWS Direct Connect adds CloudWatch metrics for BGP monitoring
<p>AWS Direct Connect now publishes three new Amazon CloudWatch metrics for virtual interfaces (VIFs) that provide visibility into Border Gateway Protocol (BGP) session health and route counts. Network engineers and operations teams managing hybrid cloud connectivity can now monitor BGP sessions natively through CloudWatch without building custom solutions or polling APIs.</p> <p>These metrics solve critical monitoring gaps that previously required custom Lambda functions or on-premises network management tools. VirtualInterfaceBgpStatus reports BGP session state, enabling detection when sessions fail. VirtualInterfaceBgpPrefixesAccepted tracks prefixes from your on-premises network, allowing proactive alarms before reaching prefix limits that would cause BGP sessions to enter idle state. VirtualInterfaceBgpPrefixesAdvertised monitors routes AWS advertises to your network, helping validate configuration changes and detect silent route withdrawals that impact traffic even when BGP sessions remain up.</p> <p>These metrics are available for private, public, and transit virtual interfaces in all commercial AWS Regions. You can integrate them with CloudWatch alarms, dashboards, and Amazon SNS for comprehensive BGP monitoring, reducing mean time to detect network issues and simplifying operations for multi-region and disaster recovery architectures. To learn more about AWS Direct Connect, visit <a href="https://aws.amazon.com/directconnect/">https://aws.amazon.com/directconnect/</a>.</p>
Amazon Timestream for InfluxDB에서 고급 메트릭 지원
Timestream for InfluxDB에서 고급 메트릭이 제공되면서 데이터베이스 성능과 건강에 대한 전반적인 시야를 확보할 수 있습니다. 이 새로운 기능은 Timestream for InfluxDB 2 인스턴스에서 자동으로 Amazon CloudWatch로 세부적인 운영 메트릭을 게시하여, Single-AZ 및 Multi-AZ Timestream for InfluxDB 2 데이터베이스에 대한 실시간 모니터링 및 경고를 설정할 수 있습니다.
Amazon CloudWatch Logs now supports data protection, OpenSearch PPL and OpenSearch SQL for the Infrequent Access ingestion class
<p>Amazon CloudWatch Logs now supports expanded analytics and data protection capabilities for the Infrequent Access (Logs IA) ingestion class, including support for data protection, OpenSearch’s Piped Processing Language (PPL) and OpenSearch SQL. These enhancements make it easier for customers to perform flexible analytics and protect sensitive data while cost-effectively consolidating all your logs natively on AWS, making Logs IA ideal for ad-hoc troubleshooting and forensic analysis on infrequently accessed logs.</p> <p>Logs IA is a cost-effective ingestion class for consolidating logs that are queried occasionally, such as forensic investigations. Logs IA currently offers log analytics with Logs Insights Query Language, export to S3, and encryption with a lower ingestion price per GB compared to the Standard log class. With today’s launch, customers can now use OpenSearch SQL and OpenSearch PPL queries to perform advanced analytics. In addition, data protection allows customers to automatically detect and mask sensitive information in logs, helping organizations meet security and compliance requirements.</p> <p>Learn more about CloudWatch Logs IA <a href="https://aws.amazon.com/cloudwatch/pricing/">pricing</a> and read the user guide <a href="http://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/CloudWatch_Logs_Log_Classes.html">here</a>. For Regional availability, visit the <a href="https://builder.aws.com/build/capabilities">AWS Builder Center</a>.</p>
AWS Lambda에서 32GB 메모리, 16 vCPU 지원
AWS Lambda Managed Instances에서 함수가 실행될 때 최대 32GB 메모리와 16 vCPU를 지원합니다. 이로 인해 고객은 대규모 데이터 처리, 미디어 트랜스코딩, 과학 시뮬레이션과 같은 컴퓨팅 집약적인 워크로드를 관리하지 않고 실행할 수 있습니다. 고객은 메모리 대 vCPU 비율을 2:1, 4:1, 또는 8:1로 구성하여 워크로드의 리소스 프로파일과 일치시킬 수 있습니다.
AWS Management Console now supports settings to control service and Region visibility
<p>Today, AWS announces the general availability of Visible services and Visible Regions account settings in the AWS Management Console. These settings allow you to customize which services and regions appear in the Management Console for authorized users in your account, helping your users easily identify what is available to them and simplifying navigation.<br> <br> You can configure these settings in the AWS Management Console under Unified Settings in the Account Settings tab. You can also configure these setting programmatically via User Experience Customization (UXC) in AWS Command Line Interface (CLI), AWS Software Development Kits (SDKs), AWS Cloud Development Kit (CDK), or AWS CloudFormation. The Visible services and Visible Regions settings are available in AWS Commercial Regions at no additional cost.<br> <br> Visit the AWS User Experience Customization <u><a href="https://docs.aws.amazon.com/awsconsolehelpdocs/latest/gsg/uxc.html">documentation</a></u> page and <u><a href="https://docs.aws.amazon.com/awsconsolehelpdocs/latest/APIReference/Welcome.html">API guide</a></u> to learn more.</p>
Amazon GameLift Servers에서 EC2 5세대 이상 인스턴스 지원
GameLift Servers에서 EC2 5세대부터 8세대까지의 인스턴스 지원이 확대되었습니다. 이 업데이트로 개발자는 최신 EC2 컴퓨팅, 메모리, 네트워킹 기술을 활용할 수 있으며, 게임 서버 호스팅을 위한 가격-성능, 효율성, 유연성이 향상됩니다.
AWS HealthImaging announces study-level fine-grained access control
<p>AWS HealthImaging now supports fine-grained access control, enabling organizations to securely manage access to medical imaging data at the DICOM study and series levels. Medical imaging workflows are typically organized around DICOM studies, which are stored in AWS HealthImaging as one or more image set resources. Now customers can easily grant users access to all image sets for a set of DICOM Studies or Series with easy-to-maintain IAM policies.</p> <p>Customers can now grant permissions for DICOMweb APIs using DICOM Study Instance UIDs and Series Instance UIDs directly in their IAM policies, eliminating the need to list individual image set ARNs. Customers can now create dynamic, temporary access grants using AWS Security Token Service (STS) session policies with low-latency authentication. This capability provides enhanced protection for Protected Health Information (PHI) by scoping access grants to specific Studies or Series rather than entire data stores. This launch better supports use cases such as pathologist case-level access, radiology study sharing with external partners, and controlled research data distribution. To learn more, see the <a href="https://docs.aws.amazon.com/healthimaging/latest/devguide/what-is.html">AWS HealthImaging Developer Guide</a>.</p> <p>AWS HealthImaging is a HIPAA-eligible service that empowers healthcare providers, life sciences organizations, and their software partners to store, analyze, and share medical images. AWS HealthImaging is generally available in the following <a href="https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/">AWS Regions</a>: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Europe (Ireland), and Europe (London).&nbsp;</p>
Amazon EC2 High Memory U7i instances now available in Europe (Milan)
<p>Amazon EC2 High Memory U7i-8TB instances (u7i-8tb.112xlarge) and U7i-12TB instances (u7i-12tb.224xlarge) are now available in AWS Europe (Milan). U7i instances are part of AWS 7th generation and are powered by custom fourth generation Intel Xeon Scalable Processors (Sapphire Rapids). U7i-8tb instances offer 8TiB of DDR5 memory, and U7i-12tb instances offer 12TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment.</p> <p>U7i-8tb instances deliver 448 vCPUs; U7i-12tb instances deliver 896 vCPUs. Both instances support up to 100 Gbps of Amazon EBS bandwidth for faster data loading and backups, 100 Gbps of network bandwidth, and ENA Express. U7i instances are ideal for customers using mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.</p> <p>To learn more about U7i instances, visit the&nbsp;<a href="https://aws.amazon.com/ec2/instance-types/u7i/">High Memory instances page</a>.</p>
AWS Step Functions에서 28건의 서비스 통합 추가
AWS Step Functions는 AWS SDK 통합을 28개 서비스와 1,100개 이상의 API 액션으로 확장했습니다. 이 확장으로 AWS 서비스를 직관적으로 워크플로우에서 호출할 수 있어 개발자들이 통합 코드를 작성할 필요가 없습니다. AWS Step Functions는 220개 이상의 AWS 서비스를 조율할 수 있는 시각적 워크플로우 서비스로, Amazon Bedrock AgentCore와 같은 새로운 서비스와 기존 서비스를 조율할 수 있습니다.
Writer의 Palmyra Vision 7B가 Amazon Bedrock에서 사용 가능
Amazon Bedrock에서 Writer의 Palmyra Vision 7B를 사용하면 이미지에서 텍스트를 해석하고 생성하는 생성 AI 애플리케이션을 빌드할 수 있습니다. Bedrock를 통해 Palmyra Vision 7B를 사용하면 인프라 관리 없이도 시각적 이해 작업을 위한 생성 AI 애플리케이션을 빌드할 수 있습니다.
Amazon SageMaker Studio에서 Kiro 및 Cursor IDE 지원 시작
Kiro와 Cursor IDE를 사용하는 데이터 과학자, ML 엔지니어, 개발자는 이제 Amazon SageMaker Studio의 확장 가능한 컴퓨트 리소스를 사용할 수 있습니다. Kiro와 Cursor의 기능을 SageMaker Studio에서 사용할 수 있으므로, 기존의 개발 워크플로를 유지하면서 AWS 분석 및 AI/ML 서비스를 사용할 수 있습니다.
Amazon ECS Managed Instances에서 FIPS 인증 워크로드 지원
AWS GovCloud (US) 리전에서 Graviton 및 GPU 가속 인스턴스에 FIPS 인증 워크로드를 배포할 수 있게 되었습니다. FIPS는 미국 및 캐나다 정부에서 사용하는 암호화 모듈 보안 표준입니다. AWS GovCloud (US) 리전에서 ECS Managed Instances는 기본적으로 FIPS 인증을 지원합니다.
Research and Engineering Studio on AWS 2026.03 is now available
<p>Today we're announcing Research and Engineering Studio (RES) on AWS 2026.03, which introduces new administrator controls, expanded filesystem support, and session management improvements.<br> <br> Research and Engineering Studio on AWS (RES) is an open source, easy-to-use web-based portal for administrators to create and manage secure cloud-based research and engineering environments. Using RES, scientists and engineers can visualize data and run interactive applications without the need for cloud expertise.<br> <br> RES 2026.03 gives administrators more flexibility in configuring and managing their environments. Admins can now onboard multiple individual FSx for ONTAP volumes as RES filesystems. Admins can also configure DCV token expiration time, which is useful for enabling session files with longer durations, and add up to three custom links on the RES login page for resources such as account management pages, help documentation, or usage policy pages.<br> <br> Version 2026.03 also improves the experience for both admins and users around virtual desktop sessions. Admins can now restart VDIs in an error state directly from the Sessions page, helping resolve launch issues with less user intervention. Users can reset a VDI session schedule back to the system default with a single button. This version also includes assorted bug fixes and performance improvements.<br> <br> This release is available in all <a href="https://docs.aws.amazon.com/res/latest/ug/plan-your-deployment.html#plan-your-deployment-supported-aws-regions">AWS Regions where RES is available</a>. To learn more about RES 2026.03, including detailed release notes and deployment instructions, visit the <a href="https://docs.aws.amazon.com/res/">Research and Engineering Studio documentation</a> or check out the <a href="https://github.com/aws/res/releases">RES GitHub repository</a>.</p>
AWS Parallel Computing Service supports slurmdbd and cgroups settings
<p>AWS Parallel Computing Service (AWS PCS) now supports additional Slurm configuration settings for slurmdbd and cgroups, enabling you to fine-tune accounting behavior and resource isolation directly through the AWS PCS console, CLI, or SDK. This feature helps you implement production-ready HPC environments with enhanced privacy controls, flexible data retention policies, and improved resource management.</p> <p>Using slurmdbd settings, you can configure how Slurm accounting operates on your cluster—including privacy controls, data retention policies, and workload tracking capabilities. With cgroups support, you can prevent resource oversubscription by binding CPU cores, enforce memory limits to maintain node stability, and control device access to ensure workloads run within defined boundaries.</p> <p>AWS PCS is a managed service that simplifies running and scaling HPC workloads on AWS using Slurm. You can build complete, elastic environments that integrate compute, storage, networking, and visualization tools, while the service handles cluster operations with managed updates and built-in observability features.</p> <p>This feature is available in all&nbsp;<a href="https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/">AWS Regions where AWS PCS is available</a>. You can configure these settings when creating a new cluster or by modifying an existing cluster. To learn more, see the&nbsp;<a href="https://docs.aws.amazon.com/pcs/">AWS PCS User Guide</a>.</p>
AWS EC2 I8ge 인스턴스 추가 리전 지원
AWS EC2 I8ge 인스턴스는 Stockholm, Mumbai, Malaysia, Singapore, Sydney 리전에서 정식 출시되었습니다. I8ge 인스턴스는 Graviton4 프로세서를 사용해 이전세대 Graviton2 기반 스토리지 최적화 인스턴스보다 60% 향상된 컴퓨팅 성능을 제공합니다. 또한 3세대 AWS Nitro SSD를 사용해 55% 향상된 실시간 스토리지 성능을 제공합니다. I8ge 인스턴스는 이전세대 Im4gn 인스턴스보다 60% 낮은 스토리지 I/O 지연 시간과 75% 낮은 스토리지 I/O 지연 시간 변동성을 제공합니다.
Aurora DSQL launches connector that simplifies building Ruby applications
<p>Today we are announcing the release of the Aurora DSQL Connector for Ruby (pg gem) that makes it easy to build Ruby applications on Aurora DSQL. The Ruby Connector streamlines authentication and eliminates security risks associated with traditional user-generated passwords by automatically generating tokens for each connection, ensuring valid tokens are always used while maintaining full compatibility with existing pg gem features.<br> <br> The connector handles IAM token generation, SSL configuration, and connection pooling, enabling customers to scale from simple scripts to production workloads without changing their authentication approach. It also provides opt-in optimistic concurrency control (OCC) retry with exponential backoff, custom IAM credential providers, and AWS profile support, giving customers flexibility in how they manage their AWS credentials and handle transient failures.<br> <br> To get started, visit the <a href="https://docs.aws.amazon.com/aurora-dsql/latest/userguide/SECTION_connectors.html">Connectors for Aurora DSQL documentation</a> page. For code examples, visit our <a href="https://github.com/awslabs/aurora-dsql-connectors/blob/main/ruby/pg/README.md">Github page for the Ruby connector</a>. Get started with Aurora DSQL for free with the AWS Free Tier. To learn more about Aurora DSQL, visit the <a href="https://aws.amazon.com/rds/aurora/dsql/">webpage</a>.</p>
AWS Lambda increases the file descriptor limit to 4,096 for functions running on Lambda Managed Instances
<p>AWS Lambda increases the file descriptor limit from 1,024 to 4,096, a 4x increase, for functions running on Lambda Managed Instances (LMI). This capability enables customers to run I/O intensive workloads such as high-concurrency web services, and file-heavy data processing pipelines, without running into file descriptor limits. LMI enables you to run Lambda functions on managed Amazon EC2 instances with built-in routing, load-balancing, and auto-scaling, giving you access to specialized compute configurations including the latest-generation processors and high-bandwidth networking, with no operational overhead.<br> <br> Customers use Lambda functions to build a wide range of serverless applications such as event-driven workloads, web applications, and AI-driven workflows. These applications rely on file descriptors for operations such as opening files, establishing network socket connections to external services and databases, and managing concurrent I/O streams for data processing. Each open file, network socket, or internal resource consumes one file descriptor. Today, Lambda supports a maximum of 1,024 file descriptors. However, LMI allows multiple requests to be processed simultaneously, which often requires higher number of file descriptors. With this launch, AWS Lambda is increasing the file descriptor limit to 4,096, allowing customers to run I/O intensive workloads, maintain larger connection pools, and effectively utilize multi-concurrency for functions running on LMI.<br> <br> This feature is available in all AWS Regions where AWS Lambda Managed Instances is generally available. To get started, visit the AWS Lambda Managed Instances <a href="https://docs.aws.amazon.com/lambda/latest/dg/lambda-managed-instances.html" target="_blank">documentation</a>.</p>
AWS AppConfig에서 기능 플래그 롤아웃 시 타겟팅 강화
AWS AppConfig는 기능 플래그 및 구성 데이터를 특정 세그먼트 또는 개별 사용자에게 타겟팅할 수 있는 새로운 제어 기능을 제공하여 배포 능력을 강화합니다. 이 기능은 고객이 기능 플래그 또는 구성 데이터 변경을 점진적으로 롤아웃할 수 있도록 해주며, 고객이 안전하게 롤아웃을 진행하고 예상치 못한 변경의 영향을 최소화할 수 있도록 합니다.
AWS Advanced JDBC Wrapper에서 Valkey 자동 쿼리 캐싱 지원
JDBC 쿼리 결과를 캐싱하는 과정을 자동화하여 개발자들이 더 편리하게 데이터베이스 쿼리 성능을 개선할 수 있게 되었습니다. Valkey를 사용해 Aurora, RDS PostgreSQL, MySQL, MariaDB 데이터베이스에서 쿼리 결과를 캐싱할 수 있습니다.
Amazon EC2 R8gd 인스턴스 추가 AWS 리전에서 제공
R8gd 인스턴스는 11.4TB의 로컬 NVMe 기반 SSD 블록 레벨 스토리지가 가능하며, AWS Graviton4 프로세서로 30% 성능 향상, I/O 집중적인 데이터베이스 작업에서 40% 성능 향상, 실시간 데이터 분석에서 20% 쿼리 결과 향상이 가능합니다. AWS Nitro 시스템으로 구축된 이 인스턴스는 고속 및 저지연 로컬 스토리지에 접근이 필요한 애플리케이션에 적합합니다.
Amazon EC2 M8a instances now available in AWS Europe (Ireland) region
<p>Starting today, the general-purpose Amazon EC2 M8a instances are available in AWS Europe (Ireland) region. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances.<br> <br> M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements. <br> <br> M8a instances are built using the latest sixth generation <a href="https://aws.amazon.com/ec2/nitro/">AWS Nitro Cards</a> and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets.<br> <br> To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 <a href="https://aws.amazon.com/ec2/instance-types/m8a">M8a instance page</a>.</p>
Amazon EC2 M8a instances now available in AWS GovCloud (US-West) region
<p>Starting today, the general-purpose Amazon EC2 M8a instances are available in AWS GovCloud (US-West) region. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances.<br> <br> M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements. <br> <br> M8a instances are built using the latest sixth generation <a href="https://aws.amazon.com/ec2/nitro/">AWS Nitro Cards</a> and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets.<br> <br> To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 <a href="https://aws.amazon.com/ec2/instance-types/m8a">M8a instance page</a>.</p>
AWS Storage Gateway Terraform modules now support Amazon Linux 2023
<p>AWS Storage Gateway Terraform modules now enable Amazon Linux 2023-based deployments, delivering improved security, reliability, and operational simplicity for Infrastructure as Code (IaC) provisioning. The updated modules support all gateway types including Amazon S3 File Gateway, Tape Gateway, and Volume Gateway in both Amazon EC2 and VMware environments.</p> <p>You can use the new Terraform modules to deploy AL2023-based gateways that enforce&nbsp;IMDSv2&nbsp;by default for EC2 deployments, protecting against credential theft and server-side request forgery (SSRF) attacks.&nbsp;The update prevents unexpected gateway replacements during routine Terraform operations and simplifies Active Directory integration with optional domain controller configuration. EC2-based gateways now support optional Elastic IP address (EIP) association, enabling fully private gateway activations.&nbsp;</p> <p>To get started, download the Terraform Storage Gateway&nbsp;<a href="https://github.com/aws-ia/terraform-aws-storagegateway">module</a>. To learn more, visit the AWS Storage Gateway product page or the&nbsp;<a href="https://docs.aws.amazon.com/storagegateway/">Storage Gateway User Guide</a>. See the&nbsp;<a href="https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/">AWS Region Table</a>&nbsp;for complete regional availability.</p>
AWS Serverless에서 AI 보조 개발 가속화
AWS Serverless에서 개발, 배포, 디버깅, 관리를 위한 AI 보조 도구를 쉽게 사용할 수 있게 해주는 Agent Plugin이 출시되었습니다. 이 플러그인은 Kiro, Claude Code, Cursor와 같은 AI 코딩 보조 도구와 연동하여 서버리스 애플리케이션 개발을 가속화합니다.
AWS Firewall Manager launches in AWS Asia Pacific (New Zealand) Region
<p>AWS Firewall Manager announces that it is now available in AWS Asia Pacific (New Zealand) Region. AWS Firewall Manager helps cloud security administrators and site reliability engineers protect applications while reducing the operational overhead of manually configuring and managing rules.<br> <br> Working with AWS Firewall Manager, customers can provide defense in depth policies to address the full range of AWS security services for customers hosting their applications and workloads in AWS Taipei. Customers wishing to establish secured assets using AWS WAF can create and maintain security policies with AWS Firewall Manager.<br> <br> To learn more about how AWS Firewall Manager works, see the AWS Firewall Manager <a href="https://docs.aws.amazon.com/waf/latest/developerguide/fms-chapter.html">documentation</a> for more details and the <a href="https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/">AWS Region Table</a> for the list of regions where AWS Firewall Manager is currently available. To learn more about AWS Firewall Manager, its features, and its pricing, visit the <a href="https://aws.amazon.com/firewall-manager/">AWS Firewall Manager website</a>.</p>
AWS Batch now provides AMI status and supports AWS Health Planned Lifecycle Events
<p>AWS Batch now provides enhanced visibility into your compute environments with two new capabilities that help you maintain operational best practices. When you describe a compute environment, you can now see the status of your Batch-provided default Amazon Machine Images (AMIs), indicating when updates are available. Additionally, AWS Batch now publishes AWS Health Planned Lifecycle Events to help you prepare for and track changes affecting your batch computing resources.<br> <br> The AMI status indicator shows whether you're using the latest AMI (LATEST) or if an update is available (UPDATE_AVAILABLE), helping you identify compute environments that may be running outdated AMIs. AWS Health Planned Lifecycle Events provide advance notification of upcoming changes, such as AMI deprecations, help you monitor migration status of your affected compute environments, and automate responses using Amazon EventBridge.<br> <br> AMI status indicator and AWS Health Planned Lifecycle Events are available today in all <a href="https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/">AWS Regions</a> where AWS Batch is available. For more information, see <a href="https://docs.aws.amazon.com/batch/latest/userguide/managing-ami-versions.html">Managing AMI versions</a> and <a href="https://docs.aws.amazon.com/batch/latest/userguide/batch-planned-lifecycle-events.html">AWS Health Planned Lifecycle Events</a> pages in the AWS Batch User Guide.</p>
Amazon SageMaker Unified Studio launches support for remote connection from Cursor IDE
<p>Today, AWS announces remote connection from Cursor IDE to Amazon SageMaker Unified Studio via the AWS Toolkit extension. This new capability allows data scientists, ML engineers, and developers to leverage their Cursor setup - including its AI-powered code completion, natural language editing, and multi-file editing capabilities - while accessing the scalable compute resources of Amazon SageMaker. By connecting Cursor to SageMaker Unified Studio using the AWS Toolkit extension, you can eliminate context switching between your local IDE and cloud infrastructure, maintaining your existing AI-assisted development workflows within a single environment for all your AWS analytics and AI/ML services.</p> <p>SageMaker Unified Studio, part of the next generation of Amazon SageMaker, offers a broad set of fully managed cloud interactive development environments (IDE), including JupyterLab and Code Editor based on Code-OSS (Open-Source Software). Starting today, you can also use your customized local Cursor setup - complete with custom rules, extensions, and AI model preferences - while accessing your compute resources and data on Amazon SageMaker. Since Cursor is built on Code-OSS, authentication is secure via IAM through the AWS Toolkit extension, giving you access to all your SageMaker Unified Studio domains and projects. This integration provides a convenient path from your local AI-powered development environment to scalable infrastructure for running workloads across data processing, SQL analytics services like Amazon EMR, AWS Glue, and Amazon Athena, and ML workflows - all with enterprise-grade security including customer-managed encryption keys and AWS IAM integration.</p> <p>This feature is available in <a href="https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/supported-regions.html">all AWS Regions where Amazon SageMaker Unified Studio is available</a>. To learn more, visit&nbsp;the <a href="ht
Amazon Bedrock AgentCore adds support for Chrome policies and custom root CA
<p>Amazon Bedrock AgentCore now enables customers to configure Chrome Enterprise policies for AgentCore Browser and specify custom root Certificate Authority (CA) certificates for both AgentCore Browser and Code Interpreter. These enhancements help ensure enterprise requirements are met when allowing AI agents to operate within organizations that have strict security policies and internal infrastructure using custom certificates.<br> <br> With Chrome policies, you can leverage over 100+ configurable policies for managing browser behavior across security, URL filtering, content settings, and more to enforce organizational compliance requirements. For example, restrict agents to specific URLs for kiosk-mode operations, disable password managers and downloads for data-entry tasks, or implement URL blocklists for regulatory compliance. Custom root CA support enables agents to seamlessly connect to internal services like Artifactory, Jira, and finance portals that use SSL certificates signed by your organization's internal Certificate Authority, and work with corporate proxies performing TLS interception.<br> <br> These features are available in all 14 <a href="https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/agentcore-regions.html">AWS Regions</a> where Amazon Bedrock AgentCore Browser and Code Interpreter are available: US East (N. Virginia), US East (Ohio), US West (Oregon), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Asia Pacific (Seoul), and Canada (Central).<br> <br> To learn more, visit the <a href="https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/browser-tool.html">AgentCore Browser documentation</a>.&nbsp;</p>
AWS Batch now supports quota management and preemption for SageMaker Training jobs
<p>AWS Batch now supports quota management with job preemption for SageMaker Training jobs, enabling you to efficiently allocate and share compute resources across your teams and projects. If you're using GPU capacity in SageMaker Training jobs, you can now intelligently allocate compute resources, prioritize your business-critical training jobs, and automatically preempt lower-priority workloads when your urgent experiments arrive.<br> <br> With quota management, you can create up to 20 quota shares per job queue that function as virtual queues with dedicated capacity limits and configurable resource sharing strategies. The service automatically uses cross-share preemption to restore borrowed capacity when the original owner submits jobs, and supports in-share preemption to allow high-priority jobs to preempt lower-priority jobs within the same quota share. You can monitor capacity utilization at the queue, quota share, and job-level granularity, update job priorities after submission to influence preemption decisions, and configure preemption retry limits to control behavior. The feature integrates directly with the SageMaker Python SDK via the <a href="https://github.com/aws/sagemaker-python-sdk/tree/master/sagemaker-train/src/sagemaker/train/aws_batch"><i></i>aws_batch</a><i> </i>module.<br> <br> Quota management with job preemption for SageMaker Training jobs is available today in all <a href="https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/">AWS Regions</a> where AWS Batch is available. For more information, see our <a href="https://github.com/aws/sagemaker-python-sdk/blob/master/v3-examples/training-examples/aws_batch/sm-training-queues_quota-management.ipynb">Quota Management example notebook</a> on GitHub and the <a href="https://docs.aws.amazon.com/batch/latest/userguide/quota-management.html">AWS Batch User Guide</a>.</
Amazon Route 53 Profiles now supports granular IAM permissions for resource and VPC associations
<p>Amazon Route 53 Profiles now supports granular AWS Identity and Access Management (IAM) permissions, allowing you to control which users can manage specific resource types and VPC associations within your Profiles. With this launch, you can create IAM policies that restrict users to specific operations (associate, disassociate, or update) on individual resource types such as private hosted zones, Resolver rules, or DNS Firewall rule groups. You can also define permissions based on resource ARNs, hosted zone names, Resolver rule domain names, DNS Firewall rule group priority ranges, or specific VPC associations.<br> <br> Route 53 Profiles enable you to define a standard DNS configuration that includes private hosted zone associations, Resolver rules, and DNS Firewall rule groups, and apply this configuration to multiple VPCs in your account or share with AWS accounts using AWS Resource Access Manager (RAM). This new capability provides administrators with fine-grained control over Profile management, enabling you to delegate specific responsibilities while maintaining security and governance standards across your organization.<br> <br> This feature is available at no additional charge in all AWS Regions where Route 53 Profiles is available, except in Middle East (Bahrain) and Middle East (UAE). To learn more, see the Amazon Route 53 Profiles <a href="https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/specifying-conditions-route53.html" target="_blank" rel="noopener noreferrer">documentation</a>&nbsp;and <a href="https://aws.amazon.com/route53/pricing/" target="_blank" rel="noopener noreferrer">pricing page</a>.</p>
Amazon Quick Now Available in the AWS Tokyo Region
<p>Amazon Quick is now available in the AWS Asia Pacific (Tokyo) region (ap-northeast-1). This launch allows customers in Japan to access the full power of Amazon Quick while meeting local and regional requirements for data sovereignty.</p> <p>Amazon Quick provides business users an agentic teammate that quickly answers questions at work and turns those answers into actions. With Amazon Quick, every user is empowered to make better decisions, faster and take actions without switching applications using AI they can trust. Today’s launch allows customers to take advantage of Amazon Quick’s capabilities including AI-powered chat, Research, Spaces, Flows, and QuickSight dashboards — with their data stored and processed locally within the AWS Tokyo region. This expansion also supports in-region inference through JP-CRIS (Japan Cross-Region Inference), ensuring that inference requests from Tokyo instances are routed exclusively within the AWS Tokyo region. Customers in regulated industries such as financial services, healthcare, and the public sector can meet strict data sovereignty requirements of Japan's data protection frameworks, including the Act on the Protection of Personal Information (APPI).</p> <p>For a full list of AWS regions where Amazon Quick is available, visit the&nbsp;<a href="https://docs.aws.amazon.com/quick/latest/userguide/regions.html">Quick regional availability page.</a>&nbsp;To learn more, visit the&nbsp;<a href="https://docs.aws.amazon.com/quick/">Amazon Quick documentation</a>&nbsp;or&nbsp;<a href="/quick/">product detail page</a>.</p> <p>&nbsp;</p>
Amazon Aurora PostgreSQL가 AWS Free Tier에서 제공
AWS Free Tier을 통해 Amazon Aurora PostgreSQL를 사용해 보실 수 있습니다. 새로운 고객은 AWS 계정 생성 시 $100의 AWS 크레딧을 받을 수 있으며, Amazon RDS와 같은 서비스를 사용하면 추가 $100의 크레딧을 얻을 수 있습니다. Free Plan 계정으로 Aurora PostgreSQL 서버리스 클러스터를 생성하고, AWS CLI, AWS SDK를 통해 쿼리할 수 있습니다.
Amazon Aurora PostgreSQL now supports creating and connecting to a database in seconds
<p>Amazon Aurora PostgreSQL now offers a new experience to create a cluster with express configuration, enabling you to create and query an Aurora serverless database in seconds. With pre-configured settings, the new experience accelerates initial setup and reduces time to first query. You have the flexibility to modify certain settings during creation and most other settings afterward.</p> <p>Aurora clusters created using express configuration reside outside a virtual private cloud (VPC) network and include an internet access gateway for secure connections from your favorite development tools - no VPN, or AWS Direct Connect required. The internet access gateway supports the full PostgreSQL wire protocol, enabling connectivity from a broad range of development tools and clients. It is distributed across multiple Availability Zones, providing the same level of high availability as your Aurora cluster. It also sets up AWS Identity and Access Management (IAM) authentication for your administrator user by default, enabling passwordless database authentication from the beginning without additional configuration.</p> <p>Aurora PostgreSQL serverless is now available with the <a href="https://aws.amazon.com/free/" target="_blank" rel="noopener noreferrer">AWS Free Tier</a> on both the Free and Paid plans. &nbsp;For regional availability and more details, see the <a href="https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/CHAP_GettingStartedAurora.AuroraPostgreSQL.ExpressConfig.html" target="_blank" rel="noopener noreferrer">Amazon Aurora documentation</a> or read the <a href="https://aws.amazon.com/blogs/aws/announcing-amazon-aurora-postgresql-serverless-database-creation-in-seconds" target="_blank" rel="noopener noreferrer">launch blog</a>. To get started, use the&nbsp;<a href="https://console.aws.amazon.com/rds/home" target="_blank" rel="noopener noreferrer">Amazon RDS Console</a&
Amazon Quick Now Available in the AWS Frankfurt Region
<p>Amazon Quick is now available in the AWS Europe (Frankfurt) region (eu-central-1). This launch allows customers in Germany to access the full power of Amazon Quick while meeting local and regional requirements for data sovereignty.</p> <p>Amazon Quick provides business users an agentic teammate that quickly answers questions at work and turns those answers into actions. With Amazon Quick, every user is empowered to make better decisions, faster and take actions without switching applications using AI they can trust. Today’s launch allows customers to take advantage of Amazon Quick’s capabilities including AI-powered chat, Research, Spaces, Flows, and QuickSight dashboards — with their data stored and processed locally within the Frankfurt region. This expansion also supports in-region inference through EU-CRIS (Europe Cross-Region Inference), ensuring that inference requests from Frankfurt instances are routed exclusively within European AWS Regions. Customers in regulated industries such as financial services, healthcare, and the public sector can meet strict data sovereignty requirements of EU data protection frameworks including GDPR.</p> <p>For a full list of AWS regions where Amazon Quick is available, visit the <a href="https://docs.aws.amazon.com/quick/latest/userguide/regions.html" target="_blank" rel="noopener noreferrer">Quick regional availability page.</a> To learn more, visit the <a href="https://docs.aws.amazon.com/quick/" target="_blank" rel="noopener noreferrer">Amazon Quick documentation</a> or <a href="/quick/">product detail page</a>.</p> <p>&nbsp;</p>
AWS London 리전에서 Amazon Quick 지원 시작
영국 고객이 지역 데이터 주권을 충족시키면서도 Amazon Quick의 전체 기능을 사용할 수 있게 되었습니다. Amazon Quick는 사용자가 직무에서 빠르게 질문에 답변하고 그 답변을 액션으로 변환할 수 있는 비즈니스 파트너를 제공합니다.
Amazon SageMaker AI에서 12개 모델에 서버리스 강화fine튜닝 지원
12개 새로운 모델에 대한 서버리스 모델 커스터마이징 및 강화fine튜닝을 지원하여, 프로비저닝이나 인프라 관리 없이 모델을 미세조정하고 평가할 수 있습니다. 지원되는 모델은 gpt-oss-120b, Qwen2.5 72B Instruct, DeepSeek-R1-Distill-Llama-70B, Qwen3 14B, DeepSeek-R1-Distill-Qwen-14B, Qwen2.5 14B Instruct, DeepSeek-R1-Distill-Llama-8B, DeepSeek-R1-Distill-Qwen-7B, Qwen3 4B, Meta Llama 3.2 3B Instruct, Qwen3 1.7B, DeepSeek-R1-Distill-Qwen-1.5B입니다. 이 확장으로, 모델을 미세조정할 수 있는 SFT, DPO, RFT 기술(RLVR, RLAIF 포함) 등을 사용할 수 있으며, 사용한 만큼만 요금을 지불할 수 있습니다.
AWS에서 EC2 I7ie 인스턴스 지원 리전 확대
I7ie 인스턴스는 5세대 인텔 엑스턴 프로세서를 탑재해 3.2GHz의 모든 코어 터보 주파수를 지원하며, I3en 인스턴스보다 40% 향상된 컴퓨팅 성능과 20% 향상된 가격 성능을 제공합니다. 또한 120TB의 로컬 NVMe 스토리지 밀도를 지원해 스토리지 최적화 인스턴스에 적합합니다.
AWS Transfer Family AS2에서 MDN 수신 지원
AS2를 통해 트레이딩 파트너와 데이터를 교환하는 워크플로를 Transfer Family로 마이그레이션할 수 있게 되었습니다. MDN 수신이 동기식이 아닌 비동기식으로 지원되므로, 파트너의 메시지 처리 시간이나 네트워크 요구 사항에 관계없이 호환성을 유지할 수 있습니다.
AWS Backup expands support for Amazon DocumentDB to 12 Regions
<p>AWS Backup now supports Amazon DocumentDB in 12 additional AWS Regions: Asia Pacific (Malaysia, Thailand, Osaka, Hong Kong, Jakarta, Melbourne), Europe (Stockholm, Spain, Zurich), Africa (Cape Town), Israel (Tel Aviv), and Mexico (Central).</p> <p>This expansion brings policy-based data protection and recovery to your Amazon DocumentDB clusters in these newly supported Regions.</p> <p>To start protecting your DocumentDB clusters with AWS Backup, add your DocumentDB clusters to your existing backup plans, or create a new backup plan and attach your DocumentDB clusters to it. To learn more about AWS Backup for Amazon DocumentDB, visit the <a href="https://aws.amazon.com/backup/">product page</a>, <a href="https://aws.amazon.com/backup/pricing/">pricing page</a>, and <a href="https://docs.aws.amazon.com/aws-backup/latest/devguide/whatisbackup.html">documentation</a>. To get started, visit the <a href="https://console.aws.amazon.com/backup">AWS Backup console</a>, AWS Command Line Interface (CLI), or AWS SDKs.</p>
AWS ParallelCluster 3.15 with support for P6-B300 and Slurm 25.11
<p>AWS ParallelCluster 3.15 is now generally available. This release adds support for P6-B300 instance types and upgrades Slurm to version 25.11 with expedited job requeue.<br> <br> With P6-B300 support, you can run demanding AI/ML and high-performance computing workloads on the latest NVIDIA Blackwell GPU infrastructure. This release includes improved EFA network configuration defaults and support for network interface customization. To learn how to customize network interfaces, see <a href="https://docs.aws.amazon.com/parallelcluster/latest/ug/tutorial-network-customization-v3.html">Customize compute node network interfaces with launch template overrides</a>. Other improvements include more reliable cluster updates, improved performance for tightly-coupled workloads in large clusters, and support for updating cluster tags without disruption. For more details, review the AWS ParallelCluster 3.15.0 <a href="https://github.com/aws/aws-parallelcluster/releases/tag/v3.15.0">release notes</a>.<br> <br> AWS ParallelCluster is an open-source cluster management tool that makes it possible for R&amp;D customers and IT administrators to operate high-performance computing (HPC) clusters on AWS. ParallelCluster is designed to automatically and securely provision cloud resources into elastically-scaling HPC clusters capable of running scientific and engineering workloads at scale on AWS. ParallelCluster is available at no additional charge in the AWS Regions listed <a href="https://docs.aws.amazon.com/parallelcluster/latest/ug/supported-regions.html">here</a>, and you pay only for the AWS resources needed to run your applications.<br> <br> To learn more about launching HPC clusters on AWS, visit the ParallelCluster <a href="https://docs.aws.amazon.com/parallelcluster/latest/ug/tutorials-v3.html">User Guide</a>. To start using ParallelCluster, see the installation instructions for Paral
Amazon SageMaker HyperPod now supports continuous provisioning for Slurm-orchestrated clusters
<p>Amazon SageMaker HyperPod now extends continuous provisioning support to clusters using the Slurm orchestrator, enabling greater flexibility and efficiency for enterprise customers running large-scale AI/ML training workloads. AI/ML customers running Slurm-based clusters need to start training quickly, scale seamlessly, perform maintenance without disrupting operations, and have granular visibility into cluster operations. Previously, if any instance group could not be fully provisioned, the entire cluster creation or scaling operation failed and rolled back, causing delays and requiring manual intervention.<br> <br> With continuous provisioning for Slurm, SageMaker HyperPod automatically provisions remaining capacity in the background while training jobs can begin immediately on available instances. The system uses priority-based provisioning to bring up the Slurm controller node first, followed by login and worker nodes in parallel, so your cluster reaches an operational state as quickly as possible. HyperPod retries failed node launches asynchronously and adds nodes to the Slurm cluster automatically as they become available, ensuring clusters reliably reach their desired scale without requiring manual intervention. You can now perform concurrent, non-blocking scaling operations across multiple instance groups simultaneously — a capacity shortage in one instance group no longer blocks scaling in others. These capabilities help customers reduce time-to-training, maximize resource utilization, and focus on innovation rather than infrastructure management.<br> <br> This feature is available for new SageMaker HyperPod clusters using the Slurm orchestrator. You can enable continuous provisioning by setting the NodeProvisioningMode parameter to "Continuous" when creating new HyperPod clusters using the CreateCluster API. Continuous provisioning can also be enabled when creating new clusters through the AWS CLI and the SageMaker AI conso
Amazon Bedrock AgentCore Runtime에서 관리 세션 스토리지 지원
AgentCore Runtime이 관리 세션 스토리지 기능을 제공하여 에이전트가 파일 시스템 상태를 영구적으로 저장할 수 있게 되었습니다. 에이전트가 파일 시스템에 코드를 작성, 패키지를 설치, 아티팩트를 생성, 상태를 관리할 때 작성한 모든 내용이 세션 종료 후에도 자동으로 저장됩니다.
Amazon Timestream for InfluxDB is now available in the Mexico (Central), Japan (Osaka), and Brazil (Sao Paulo) AWS regions
<p>You can now use Amazon Timestream for InfluxDB in the Mexico (Central), Japan (Osaka), and Brazil (Sao Paulo) AWS regions. Timestream for InfluxDB makes it easy for application developers and DevOps teams to run fully managed InfluxDB databases on AWS for real-time time-series applications using open-source APIs.<br> <br> Timestream for InfluxDB offers Multi-AZ high availability, read replicas, enhanced durability, and multi-node scaling — giving you flexible deployment options to match your workload as it evolves. Whether you're starting with a single-node setup or scaling to a 15-node Enterprise cluster, you can right-size your infrastructure without re-architecting.<br> <br> You can create your InfluxDB databases using the <a href="https://console.aws.amazon.com/timestream">Amazon Timestream for InfluxDB console</a>. AWS CLI, or AWS SDKs . Amazon Timestream for InfluxDB is available in the following AWS <a href="https://docs.aws.amazon.com/general/latest/gr/timestream.html">Regions</a>.<br> <br> For more information, see the <a href="https://docs.aws.amazon.com/timestream/latest/developerguide/multi-node-scaling.html">Amazon Timestream for InfluxDB documentation</a> and <a href="https://aws.amazon.com/timestream/pricing/">pricing page</a>.</p>
AWS HealthOmics에서 배치 실행 기능 도입
AWS HealthOmics는 배치 실행 제출 기능을 도입하여 고객이 단일 요청으로 최대 100,000개의 워크플로우 실행을 제출할 수 있게 되었습니다. 이 기능으로 고객은 대규모 유전체학 실험을 수행할 수 있으며, 수천 개의 샘플을 처리할 수 있습니다. 이는 개별 실행 제출 및 추적의 부담을 줄여주고, 오케스트레이션을 간소화합니다.
AWS HealthImaging이 London 리전에서 제공 시작
AWS HealthImaging은 HIPAA-적합한 서비스로, 의료 제공자, 생명과학 기업 및 소프트웨어 파트너가 대용량 의료 이미지를 저장, 분석 및 공유할 수 있는 플랫폼입니다. 의료 이미지를 대용량으로 저장하고 분석할 수 있는 완전 관리형 인프라를 제공하며, 기존 애플리케이션과 쉽게 통합할 수 있는 DICOMWeb API와 클라우드 최적화된 구현을 위한 AWS-native API를 제공합니다.
AWS Neuron에서 Amazon EKS에 대한 동적 리소스 할당 지원
AWS Neuron은 Amazon Elastic Kubernetes Service (EKS)에서 동적 리소스 할당(Dynamic Resource Allocation, DRA) 드라이버를 발표하여 Kubernetes-native 하드웨어 인식 스케줄링을 AWS Trainium 기반 인스턴스에 제공합니다. Neuron DRA 드라이버는 Kubernetes 스케줄러에 직접 리치 디바이스 특성을 게시하여 토폴로지 인식 배치 결정을 허용합니다. 이로써 ML 엔지니어는 모델 개발과 관련이 없는 인프라 결정, 즉 디바이스 수, 하드웨어 및 네트워크 토폴로지 이해, 가속기 특정 매니페스트 작성과 같은 작업을 수행할 필요가 없습니다.
Amazon Bedrock AgentCore Runtime에서 WebRTC 지원 시작
AgentCore Runtime이 WebRTC를 지원하여 클라이언트와 에이전트 간의 실시간 양방향 스트리밍을 가능하게 해줍니다. 기존 WebSocket 프로토콜과 함께 WebRTC를 지원함으로써 개발자는 브라우저와 모바일 애플리케이션에서 음성 에이전트를 구축할 수 있으며, 낮은 지연 시간으로 음성 및 비디오를 양방향 스트리밍할 수 있습니다.
Amazon EKS에서 99.99% SLA 및 8XL 스케일링 티어 지원
Amazon EKS는 Provisioned Control Plane 클러스터에서 99.99% Service Level Agreement (SLA)를 제공하고, 8XL 스케일링 티어를 추가로 지원합니다. Provisioned Control Plane은 클러스터의 컨트롤 플레인 용량을 미리 프로비저닝하여 트래픽 스플ashes나 불확실한 폭발에 대비할 수 있도록 합니다.
Amazon Polly에서 새로운 TTS 엔진 및 지역 지원
10개의 새로운 표현력이 풍부한 Amazon Polly Generative 음성과 2개의 새로운 AWS 지역이 추가되었습니다. 새로운 음성은 미국 영어, 영국 영어, 뉴질랜드 영어, 싱가포르 영어, 프랑스, 이탈리아, 독일, 스위스 독일어 등 8개 지역에서 사용할 수 있습니다. 또한 Bidirectional Streaming API가 제공되며, 실시간 음성 생성 및 처리가 가능합니다.
AWS DMS GenAI 스키마 변환 10개 리전 확장
AWS Database Migration Service (DMS)에서 GenAI를 활용한 스키마 변환 기능이 10개 리전에서 제공되기 시작했습니다. 이 기능은 Oracle, SQL Server, MySQL, PostgreSQL, Sybase와 같은 다양한 데이터베이스에서 스키마 및 코드를 자동으로 변환해 데이터베이스 현대화 과정을 가속화합니다.
AWS DataSync에서 AWS Secrets Manager 지원 확대
DataSync에서 모든 위치 유형에 대해 AWS Secrets Manager를 지원하게 되었습니다. 이제 HDFS, Amazon FSx for Windows File Server, Amazon FSx for NetApp ONTAP 등 모든 위치 유형에 대해 Secret Manager를 통해 자격 증명 관리가 가능합니다. 이전에는 DataSync API나 콘솔을 통해 자격 증명을 직접 제공해야 했었습니다.
AWS MCP Server 에서 모니터링 및 의미론적 검색 기능 강화
AWS MCP Server (Preview)에서 Amazon CloudWatch로 운영 메트릭을 실시간으로 전송하고, 의미론적 유사도 기반으로 Agent SOPs를 자동으로 발견할 수 있게 되었습니다. Agent SOPs는 AI 보조기를 통해 복잡한 다단계 AWS 작업을 수행하는 데 도움이 되는 미리 빌드되고 테스트된 워크플로입니다. 이 업데이트로 MCP Server 사용량에 대한 시각화를 제공하고, 에이전트가 AWS 작업을 수행하는 데 대한 가이드된 경로를 제공합니다.
Amazon EC2 Fleet에서 중단 가능 용량 예약 지원
EC2 Fleet를 통해 여러 인스턴스 유형과 가용 영역에 인스턴스를 시작할 수 있는 EC2 Fleet가 중단 가능 용량 예약을 지원합니다. 중단 가능 용량 예약 ID를 Launch Template에 지정하여 단일 EC2 Fleet 호출로 인스턴스를 프로비전할 수 있습니다. 중단 가능 용량 예약은 사용되지 않을 때 AWS 조직 내에서 임시로 사용할 수 있어 리소스 활용률을 높이고 비용을 절약할 수 있습니다.
AWS에서 NIXL과 EFA를 지원해 LLM 추론 가속화
AWS는 Amazon EC2에서 분산된 대규모 언어 모델(LLM) 추론을 가속화하기 위해 NVIDIA Inference Xfer Library (NIXL)와 Elastic Fabric Adapter (EFA)를 지원합니다. 이 통합은 분산 추론 서비스를 향상시키는 세 가지 주요 개선점을 제공합니다: 키-값 캐시 처리량 증가, 토큰 간 지연 시간 감소, 키-값 캐시 메모리 사용률 최적화.
Amazon Redshift에서 IdC와 연동한 권한 관리 지원
Redshift에서 IdC와 연동해 IdC를 사용하는 워크포스 ID를 통해 테이블 및 열 수준의 세밀한 접근 제어를 간편하게 관리할 수 있게 되었습니다. IdC를 사용하는 워크포스 ID를 통해 데이터를 쿼리할 수 있는 리전을 확장할 수 있습니다.
Amazon EC2 C8gn 인스턴스 추가 리전 지원
AWS Graviton4 프로세서를 기반으로 한 Amazon EC2 C8gn 인스턴스가 Jakarta, Hyderabad, Tokyo, Sao Paulo, Zurich 리전에서 제공되었습니다. C8gn 인스턴스는 Graviton3 기반 C7gn 인스턴스보다 30% 이상의 컴퓨팅 성능을 제공하며, 최신 6세대 AWS Nitro 카드를 탑재하고 600 Gbps의 네트워크 대역폭을 제공합니다.
AWS Lambda에서 가용 영역 메타데이터 지원
AWS Lambda는 Lambda 실행 환경 내에서 새로운 메타데이터 엔드포인트를 통해 가용 영역 (AZ) 메타데이터를 제공합니다. 이 기능을 사용하면 개발자는 Lambda 함수가 실행 중인 AZ ID (예: use1-az1)를 확인할 수 있으며, AZ에 의존적인 라우팅 결정을 하는 함수를 구축할 수 있습니다. 또한 AZ에 의존적인 장애 감지 테스트를 구현할 수 있습니다.
AWS Direct Connect에서 Sydney 리전 오픈
AWS Direct Connect의 새로운 위치가 Sydney의 Equinix SY5에 오픈되었습니다. 이 위치에서 모든 퍼블릭 AWS 리전(중국 리전 제외), AWS GovCloud 리전, AWS Local Zone에 대한 사설 네트워크 접근이 가능합니다. Sydney에서 네 번째 AWS Direct Connect 위치이며, 오스트레일리아 내에서 열 번째 위치입니다.
Amazon RDS Custom for SQL Server adds ability to view and schedule new operating system updates
<p><a href="https://aws.amazon.com/rds/custom/" target="_blank">Amazon RDS Custom</a> for SQL Server now provides customers with ability to view and schedule new operating system (OS) updates for RDS provided engine versions (RPEV). With RPEV, RDS Custom provides a SQL Server version pre-installed on an Amazon Machine Image (AMI). When new operating system updates are available for RPEV, customers can now view upcoming updates, apply them immediately, or schedule them for application in the next maintenance window using RDS Custom APIs.<br> <br> To view available OS updates, customers can use the <a href="https://docs.aws.amazon.com/cli/latest/reference/rds/describe-pending-maintenance-actions.html" target="_blank">describe-pending-maintenance-actions</a> API, or subscribe to RDS-EVENT-0230 to receive an alert when new updates become available for their database instance. Customers can use <a href="https://docs.aws.amazon.com/cli/latest/reference/rds/apply-pending-maintenance-action.html" target="_blank">apply-pending-maintenance-action</a> API to apply the updates immediately or schedule them within their next maintenance window.</p> <p>Using these features, customers can efficiently track and apply OS updates. To learn more, refer to the <a href="https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/working-with-custom-sqlserver.html" target="_blank">Amazon RDS Custom for SQL Server User Guide</a>. These features are available in all the AWS Regions where RDS Custom for SQL Server is available.</p>
Amazon Bedrock에서 GLM 5 및 Minimax M2.5 모델 지원 시작
Amazon Bedrock의 모델 선택이 확대되었습니다. GLM 5는 복잡한 시스템 엔지니어링 및 장기적인 의사결정 과제를 위한 프론티어급 일반 용도 대형 언어 모델입니다. Minimax M2.5는 효율적인 사고, 작업 분해, 및 실제 시간 및 비용 제약하에 복잡한 워크플로 완료를 위해 설계된 에이전트 내재된 프론티어 모델입니다.
AWS Asia Pacific (Malaysia)에서 U7i-6TB 인스턴스 지원
AWS 7세대 인스턴스 U7i-6TB가 Malaysia 리전에서 출시되었습니다. 이 인스턴스는 6TiB의 DDR5 메모리를 제공하여 빠르게 성장하는 데이터 환경에서 트랜잭션 처리량을 확장할 수 있습니다. U7i-6TB 인스턴스는 448 vCPU, 100 Gbps의 EBS 대역폭, 100 Gbps의 네트워크 대역폭 및 ENA Express를 제공합니다.
Amazon ECR에서 Chainguard 지원
Amazon ECR의 pull through cache 기능이 Chainguard 레지스트리를 업스트림 소스로 지원하기 시작했습니다. 이로써 고객은 Amazon ECR의 보안성과 가용성을 통해 개인 Chainguard 이미지를 안전하게 관리할 수 있습니다.
Amazon Bedrock에서 NVIDIA Nemotron 3 Super 지원 시작
Nemotron 3 Super는 복잡한 다중 에이전트 애플리케이션을 위한 오픈 하이브리드 MoE 모델로, AI 에이전트가 장기적인 멀티 스텝 태스크를 수행하는 동안도 집중력과 정확성을 유지할 수 있도록 빠르고 비용 효율적인 추론을 제공합니다. 모델은 완전 오픈되어 가중치, 데이터 세트, 레시피를 포함하여 쉽게 커스터마이즈하고 보안 배포가 가능합니다.
Amazon S3 Access Grants are now available in the AWS Asia Pacific (New Zealand) Region
<p>You can now create Amazon S3 Access Grants in the AWS Asia Pacific (New Zealand) Region.</p> <p>Amazon S3 Access Grants map identities in directories such as Microsoft Entra ID, or AWS Identity and Access Management (IAM) principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end users based on their corporate identity.</p> <p>Visit the <a href="https://docs.aws.amazon.com/AmazonS3/latest/userguide/access-grants-limitations.html#access-grants-limitations-regions" target="_blank">AWS Region Table</a> for complete regional availability information. To learn more about Amazon S3 Access Grants, visit our <a href="https://aws.amazon.com/s3/features/access-grants/" target="_blank">product page</a>.</p>
AWS London 리전에서 M6in 및 M6idn 인스턴스 지원 시작
AWS London 리전에서 Amazon EC2 M6in 및 M6idn 인스턴스가 제공되기 시작했습니다. 이 인스턴스는 3세대 인텔 Xeon 스케일러 프로세서와 AWS Nitro 시스템을 기반으로 하며, 200Gbps의 네트워크 대역폭을 제공하여 5세대 인스턴스보다 2배 더 빠릅니다. 네트워크 집중형 워크로드를 처리하는 고객에게 성능과 처리량을 확장할 수 있는 좋은 선택입니다.
아시아 태평양 (도쿄) 지역에서 Amazon EC2 C8a 인스턴스 사용 가능
도쿄 리전에서 컴퓨팅 최적화 인스턴스 C8a가 사용 가능해졌습니다. C8a 인스턴스는 5세대 AMD EPYC 프로세서를 사용해 C7a 인스턴스보다 30% 높은 성능과 19% 더 좋은 가격 성능比를 제공합니다. C8a 인스턴스는 메모리 대역폭이 33% 더 높아 레이턴시가 민감한 워크로드에 적합합니다.
Amazon Inspector에서 EC2 스캔 확장 및 Windows KB 기반 결과 도입
Amazon Inspector는 EC2 스캔의 확장과 Windows 운영 체제 취약점 스캔을 지원하는 새로운 기능을 도입했습니다. Windows 운영 체제 취약점 스캔은 에이전트 설치 없이도 가능하며, 보안 팀과 IT 관리자는 EC2 인스턴스에 설치된 소프트웨어 및 애플리케이션의 취약점을 더 광범위하게 감지할 수 있습니다.
AWS Config에서 75개 신규 관리 규칙 출시
AWS Config에서 보안, 내구성, 운영에 관련된 75개 신규 관리 규칙이 출시되었습니다. 이 규칙들은 AWS Config에서 직접 검색, 활성화, 관리할 수 있으며, AWS 환경의 다양한 사용 사례를 관리할 수 있습니다. 이 규칙들을 사용하여 AWS Amplify, Amazon SageMaker, Amazon Route 53 등 다양한 서비스의 보안 포지션을 평가할 수 있습니다. 또한, Conformance Packs를 사용하여 규칙들을 그룹화하고 계정 또는 조직에 배포할 수 있어, 다중 계정 관리를 간소화할 수 있습니다.
Amazon Redshift에서 ETL 및 BI 대시보드 쿼리 성능 7배 향상
Amazon Redshift는 ETL 워크로드 및 BI 대시보드 쿼리의 성능을 7배 향상시켜 쿼리 응답 시간을 크게 개선했습니다. 이 업데이트로 인해 저-latency SQL 쿼리의 응답 시간이 크게 개선되어 실시간 분석 애플리케이션, BI 대시보드, ETL 파이프라인 및 자율 목표를 추구하는 AI 에이전트와 같은 애플리케이션에서 쿼리 성능이 크게 개선됩니다.
Amazon SageMaker Unified Studio adds custom metadata filters
<p>Amazon SageMaker Unified Studio adds custom metadata search filters, enabling customers to narrow catalog search results using organization-specific attributes. This helps customers find the right assets faster by filtering on fields like business region, data classification, or study name, in addition to existing keyword and semantic search.<br> <br> With custom metadata search filters, customers can add filters based on any custom metadata fields available in their catalog, such as sample type or study ID. Filters support string fields with a "contains" operator and numeric fields (Integer, Long) with equals, greater than, and less than operators. Customers can also filter by asset name, description, and date range. Multiple filters can be combined, and filter selections persist across browser sessions.<br> <br> Custom metadata search filters are available in all AWS Regions where Amazon SageMaker Unified Studio is supported. Standard Amazon SageMaker pricing applies.<br> <br> To get started, navigate to the Browse Assets page in Amazon SageMaker Unified Studio and use the "+ Add Filter" button to create custom filters. You can also use the SearchListings API with metadata form attributes in the filters parameter. For more information, see the <a href="https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/search-for-data.html">Amazon SageMaker Unified Studio documentation</a>.</p>
Amazon OpenSearch Service에서 OpenSearch 3.5 지원
OpenSearch 3.5은 인공지능(AI) 능력, 검색 관련 도구, 관찰성 기능 등이 개선되어 강력한 인공지능 애플리케이션을 구축하는 데 도움이 됩니다. 인공지능 대화 기억 기능을 통해 대화 흐름을 기억하고 논리적인 답변을 제공할 수 있습니다.
Amazon Connect에서 영국 리전 및 3개 새로운 음성 추가
Amazon Connect의 음성 인식 기능이 영국 리전으로 확장되며, 미국 스페인어와 영국 영어에 새로운 음성인 Pedro, Amy, Brian이 추가되었습니다. 이 업데이트로 고객 서비스 업무를 자동화하는 AI 에이전트의 역할이 더욱 강화됩니다.
AWS Elemental MediaConnect adds support for NDI® inputs
<p>Starting today, <a href="https://aws.amazon.com/mediaconnect/">AWS Elemental MediaConnect </a>supports <a href="https://ndi.video/">NDI® (Network Device Interface)</a> as a live video source, enabling broadcasters and live production teams to ingest NDI streams and convert them to transport stream outputs such as SRT for downstream distribution. NDI is a widely adopted IP video technology used in live production environments and supported by more than 500 hardware products and 400 software applications.<br> <br> With this new capability, live production teams can bridge NDI-based production environments with standards-based cloud distribution workflows without requiring custom transcoding or protocol conversion infrastructure. For example, you can route an NDI feed from an EC2 instance running NDI Tools directly into a MediaConnect flow, convert it to a transport stream, and pass it downstream to AWS Elemental MediaLive for transcoding and AWS Elemental MediaPackage for origin and packaging. This eliminates the complexity of egressing NDI content from the AWS Cloud and enables seamless integration with existing IP-based broadcast workflows.<br> <br> NDI support is available in most regions where MediaConnect is currently deployed. For more information and details on pricing, please refer to the <a href="https://docs.aws.amazon.com/mediaconnect/latest/ug/sources-using-ndi.html">NDI documentation</a> and the <a href="https://aws.amazon.com/mediaconnect/pricing">MediaConnect pricing page</a>.</p>
AWS Security Agent now supports downloading penetration testing reports
<p>AWS Security Agent now provides the ability to download penetration testing reports.&nbsp;This enhancement to the AWS Security Agent allows users to create customized reports based on specific filters.&nbsp;Each report includes an executive summary with a high-level overview of security posture and findings, the scope of test, the test methodology detailing the approach and techniques used along with task details, and comprehensive findings details with vulnerability information and risk assessments.</p> <p>The new report download capability allows users to filter findings based on risk level, confidence level, finding status, risk types, and task status. Reports are downloadable in PDF format, making it easy to share and review findings across teams. This functionality enhances the AWS Security Agent's ability to provide flexiblity to teams, that use AWS Security Agent's on-demand penetration testing capability to accelerate pentestion testing from weeks to hours.&nbsp;<br> <br> To learn more about AWS Security Agent and its new report generation feature, visit the <a href="https://aws.amazon.com/security-agent/">AWS Security Agent page</a>.</p>
Amazon Connect 음성 AI 에이전트에서 13개 언어 지원
Amazon Connect는 음성 AI 에이전트에서 13개 새로운 언어를 지원하게 되었습니다. 총 40개 언어 지역으로 확장되었습니다. 새로운 언어로는 아랍어(사우디 아라비아), 체코어, 덴마크어, 네덜란드어(벨기에), 아일랜드어, 뉴질랜드어, 웨일스어, 독일어(스위스), 아이슬란드어, 루마니아어, 멕시코 스페인어, 터키어, 웨일스어 등이 포함됩니다.
Amazon Connect에서 새로운 텍스트-음성 합성 목소리 및 리전 확장
Amazon Connect는 새로운 텍스트-음성 합성 목소리를 3개 AWS 리전에 추가하고, 9개의 새로운 목소리를 지원하는 리전을 확장했습니다. 이 외에도 Amazon Connect의 자율적 인 자체 서비스 기능은 AI 에이전트가 음성 및 메시지 채널을 통해 고객 서비스 업무를 자동화하는 데 도움이 됩니다.
Amazon SageMaker Unified Studio supports aggregated view of data lineage
<p><a href="https://aws.amazon.com/sagemaker/unified-studio/">Amazon SageMaker Unified Studio</a> now provides an aggregated view of data lineage, displaying all jobs contributing to your dataset. The aggregated view gives you a complete picture of data transformations and dependencies across your entire lineage graph, helping you quickly identify all upstream sources and downstream consumers of your datasets.<br> <br> Previously, SageMaker Unified Studio showed the lineage graph as it existed at a specific point in time, which is useful for troubleshooting and investigating specific data processing events. The aggregated view now provides a complete picture of data transformations and dependencies across multiple levels of the lineage graph. You can use this view to understand the full scope of jobs impacting your datasets and to identify all upstream sources and downstream consumers.<br> <br> The aggregated view is available as the default lineage view in Amazon SageMaker Unified Studio for IdC-based domains. You can switch to the previous view by toggling the "display in event timestamp order" option. You can also query the lineage graph using the new QueryGraph API, which provides lineage node graphs with metadata and augmented business context.<br> <br> Aggregated view of lineage is available in all existing Amazon SageMaker Unified Studio <a href="https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/supported-regions.html">regions</a>. For detailed information on how to get started with lineage using these new features, refer to the <a href="https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/aggregated-lineage-view.html">documentation</a> and <a href="https://docs.aws.amazon.com/boto3/latest/reference/services/datazone/paginator/QueryGraph.html">API</a>.</p>
SageMaker Training Plans에서 기존 용량 할당 확장 가능
AI 워크로드가 예상보다 더 오래 걸릴 때도 SageMaker Training Plans을 확장할 수 있게 되었습니다. 기존 용량 할당을 확장하면 워크로드를 재구성할 필요 없이 용량에 대한 무중단 액세스를 보장할 수 있습니다. 확장은 1일 단위로 최대 14일, 7일 단위로 최대 182일(26주)까지 가능합니다.
AWS Blu Insights is now AWS Transform for mainframe refactor
<p>AWS Blu Insights capabilities are now available as part of AWS Transform, enabling customers to launch mainframe refactoring projects from the AWS Transform console. This launch unifies all three mainframe modernization patterns — refactor, replatform, and reimagine — within AWS Transform for mainframe. Code transformation is now offered at no cost, replacing the previous lines-of-code based pricing model.<br> <br> With this launch, you can access AWS Transform for mainframe refactor directly from the AWS Transform console using your existing AWS credentials. The mandatory three-level certification requirement to access the Transformation Center has been removed, lowering the friction to exploring refactor projects. Self-paced training content remains available within the application for those who want to build deeper knowledge.<br> <br> AWS Transform for mainframe refactor is available in <a href="https://bluinsights.aws/docs/faq-account-multi-region">18 AWS Regions</a>. In regions where AWS Transform for mainframe is not yet available, you can continue to access the service through the AWS Mainframe Modernization console.<br> <br> To get started, visit the AWS Transform for mainframe refactor <a href="https://bluinsights.aws/docs/quick-start-get-started">user guide</a>.</p>
Amazon MSK에서 Express 브로커 지원 확장
Express 브로커는 Amazon MSK Provisioned에서 새로 도입된 브로커 타입으로, 표준 Apache Kafka 브로커보다 3배 더 높은 처리량을 제공하고, 20배 빠른 확장 및 90% 빠른 복구 시간을 지원합니다. Express 브로커는 Kafka 최적화 설정으로 기본적으로 제공되며, 모든 Kafka API를 지원하고 동일한 저지연성 성능을 제공하여 기존 클라이언트 애플리케이션을 변경하지 않고 사용할 수 있습니다.
Amazon Bedrock AgentCore Runtime에서 shell 명령어 실행 지원
AgentCore Runtime 세션 내에서 shell 명령어를 직접 실행할 수 있게 되었습니다. 개발자는 HTTP/2를 통해 실시간으로 출력을 스트리밍하고 종료 코드를 받을 수 있습니다. 이 기능은 AI 에이전트가 LLM-기반 추론과 함께 테스트 실행, 의존성 설치, git 명령어 실행과 같은 결정론적 작업을 수행할 수 있도록 해줍니다.
Amazon Corretto 26 일반 사용 가능
Corretto 26은 OpenJDK의 Feature Release 버전으로, OpenJDK의 장기 지원 분포인 Amazon Corretto의 최신 버전입니다. Corretto 26은 Linux, Windows, macOS에서 사용할 수 있으며, 2026년 10월까지 지원됩니다.
Amazon RDS에서 SQL Server Developer Edition 업그레이드
SQL Server Developer Edition을 사용하는 Amazon RDS 인스턴스에서 추가 스토리지 볼륨, 리소스 게버너, SQL Server 2019를 지원할 수 있게 되었습니다. 개발 및 테스트 환경에서 Enterprise 기능을 모두 포함하는 무료 버전으로 ideal한 선택입니다.
Amazon S3 테이블 및 Iceberg 재료화 뷰에 대한 단순화된 권한
AWS Glue Data Catalog에서 Amazon S3 테이블 및 Apache Iceberg 재료화 뷰에 대한 IAM 기반 인증을 지원합니다. IAM 기반 인증을 사용하면 스토리지, 카탈로그 및 쿼리 엔진에 대한 모든 필요한 권한을 단일 IAM 정책에서 정의할 수 있습니다. 이 기능은 S3 테이블 또는 재료화 뷰를 Amazon Athena, Amazon EMR, Amazon Redshift 및 AWS Glue와 같은 AWS 분석 서비스와 통합하는 것을 간소화합니다.
Amazon Bedrock가 뉴질랜드(APN)에서 출시
Amazon Bedrock는 뉴질랜드(APN) 지역에서 사용할 수 있게 되었습니다. Bedrock는 다양한 기초 모델(FM)과 강력한 도구를 제공하여 생성적 AI 애플리케이션을 쉽게 빌드하고 확장할 수 있습니다. Bedrock는 Amazon이 제공하는 LLM 및 기타 FM을 포함하여 AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, OpenAI, Stability AI와 같은 선두 AI 기업의 모델을 선택할 수 있는 완전히 관리되는 서비스입니다.
Amazon CloudWatch에서 EC2 세부 모니터링 활성화
AWS 조직 전체에서 EC2 세부 모니터링을 자동으로 활성화할 수 있게 되었습니다. CloudWatch Ingestion에서 활성화 규칙을 생성하여 EC2 인스턴스에 대한 세부 모니터링을 자동으로 활성화할 수 있습니다. 이로써 EC2 인스턴스에 대한 일 분 간격의 일관된 메트릭 수집을 보장할 수 있습니다.
Amazon CloudWatch Logs에서 HTTP 기반 로그 수집 지원
AWS SDK와 통합이 어려운第三자 또는 패키지 소프트웨어에서 로그를 수집할 수 있게 되었습니다. HTTP Log Collector (HLC), ND-JSON, 구조화된 JSON 및 OTEL과 같은 HTTP 기반 프로토콜을 사용하여 로그를 전송할 수 있습니다. 이로써 기존 로그 파이프라인을 마이그레이션하는 데 적합한 JSON 이벤트를 위한 새로운 엔드포인트가 제공됩니다.
SageMaker HyperPod now supports idle resource sharing for dynamic cluster utilization
<p>Amazon SageMaker HyperPod task governance now supports dynamic resource sharing, allowing teams to borrow unallocated compute capacity in HyperPod clusters beyond their guaranteed quotas. Administrators can also configure borrow limits for specific resource types, such as accelerators, vCPU, or memory, to ensure fair distribution across teams.<br> <br> Administrators running shared compute clusters for generative AI workloads often face underutilization challenges. When data scientists do not fully consume their allocated quotas, expensive compute instances remain idle. Idle resource sharing solves this by automatically identifying unallocated cluster capacity and making it available for teams to borrow on a best-effort basis. HyperPod task governance monitors your cluster state and automatically recalculates borrowable resources when instances and compute quota policies change, eliminating manual configuration. Eligible instances that are in a ready and schedulable state, including instances with partitioned GPU configurations, contribute to the borrowable pool of unallocated compute capacity. Administrators can also define absolute borrow limits in addition to percentage-based borrow limits of idle compute. This helps administrators maximize compute utilization and maintain fine-grained control over how idle capacity is distributed across teams, while ensuring guaranteed compute quota isolation for each team.<br> <br> This capability is currently available for Amazon SageMaker HyperPod clusters using the EKS orchestrator across the following <a href="https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/">AWS Regions</a>: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo), Asia Pacific (Jakarta), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Stockholm
Amazon Neptune now supports reading S3 data using openCyper
<p><a href="https://aws.amazon.com/neptune/" target="_blank">Amazon Neptune</a>&nbsp;now supports reading data from Amazon S3 within openCypher queries. Through the new `neptune.read()` procedure, customers now have an additional option of federating with external data stored in S3 versus needing to load data into Neptune. Organizations using Neptune for graph analytics can now dynamically incorporate S3-stored data without the traditional multi-step workflow requirements.</p> <p>Key use cases include real-time graph analytics that combine S3 data with existing graph structures, dynamic node and edge creation from external datasets, and complex graph queries requiring external reference data. The procedure supports comprehensive data types including standard and Neptune-specific formats such as geometry and datetime, while maintaining security through the caller's IAM credentials.</p> <p>Read from S3 is available in all regions where Amazon Neptune Database is currently offered. To learn more, check out the <a href="https://docs.aws.amazon.com/neptune/latest/userguide/intro.html" target="_blank">Neptune Database documentation</a>.</p>
Amazon Timestream for InfluxDB 3 Now Supports Expanded Multi-Node Cluster Configurations
<p>Amazon Timestream for InfluxDB now supports expanded multi-node cluster configurations for InfluxDB 3 Enterprise edition, enabling you to scale clusters up to 15 nodes for demanding production workloads requiring high read throughput and high availability.<br> <br> With this launch, you can now configure clusters with up to 15 nodes total, with one to four writer/reader nodes for data ingestion and queries, zero to 13 dedicated reader-only nodes for scaling query performance, plus a dedicated compactor node. This enables you to optimize for specific workload patterns. For example, you can create a dedicated reader-only nodes to handle read-heavy workloads such as dashboards, reporting, and analytical queries without impacting write performance. All Multi-node deployments distribute workloads across multiple nodes in different Availability Zones for enhanced fault tolerance and high availability<br> <br> With this release, you can now add and remove nodes from all Enterprise clusters, providing greater flexibility for managing your time series database infrastructure. You can also upgrade from Core edition to Enterprise edition to access multi-node deployment capabilities and compaction features essential for long-term storage.<br> <br> You can create expanded multi-node clusters using the <a href="https://console.aws.amazon.com/timestream">Amazon Timestream for InfluxDB console</a>. AWS CLI, or AWS SDKs by configuring custom parameter groups with your desired node topology. Amazon Timestream for InfluxDB 3 is available in all <a href="https://docs.aws.amazon.com/general/latest/gr/timestream.html">Regions</a> where Timestream for InfluxDB is available.<br> <br> For more information, see the <a href="https://docs.aws.amazon.com/timestream/latest/developerguide/multi-node-scaling.html">Amazon Timestream for InfluxDB documentation</a> and <a href="https://aws.amazon.com/times
Announcing AWS Partner Central agents to accelerate co-sell
<p>Today, AWS announces the general availability of AWS Partner Central agents, new AI-powered capabilities designed to accelerate partner co-selling with AWS. Built on Amazon Bedrock AgentCore, these agentic capabilities work alongside partner sales teams to shorten sales cycles and simplify funding access. AWS Partners can engage with these agentic capabilities directly in the console or programmatically through Model Context Protocol (MCP), enabling sales teams to access from within their own customer relationship management (CRM) systems.</p> <p>With AWS Partner Central agents, partner teams get pipeline insights, tailored sales plays, and next-step recommendations on demand, so they know where to focus and what to do next. Partner sales teams can share meeting transcripts, notes, or emails with agents that automatically populate fields and advance deals, so they stay focused on selling, not data entry. Agents recommend funding at the opportunity level, highlight eligibility gaps, and create pre-populated fund requests, so partners capture available funding faster.</p> <p>AWS Partner Central agents are available today in all commercial AWS Regions. To learn more about agentic capabilities in AWS Partner Central, review this <a href="https://aws.amazon.com/blogs/apn/introducing-aws-partner-central-agents/" target="_blank">blog</a>. Partners can start using agents by visiting AWS Partner Central in the AWS console and accessing opportunities, after reviewing the <a href="https://docs.aws.amazon.com/partner-central/latest/sales-guide/partner-cosell-agent.html" target="_blank">agents guide</a>, and to integrate agents into your own CRM, visit the <a href="https://docs.aws.amazon.com/partner-central/latest/APIReference/partner-central-mcp-server.html" target="_blank">Partner Central agents MCP server guide</a>.</p>
Amazon SimpleDB now supports exporting domain data to Amazon S3
<p>Amazon SimpleDB now supports exporting domain data directly to Amazon S3 buckets in standard JSON format. Exports run in the background with no impact on database performance, making it simple to migrate data to other systems or meet data archival requirements.</p> <p>The export tool offers features including cross-region and cross-account support, multiple encryption options, and flexible S3 bucket configuration. Key use cases include migrating data for long-term archival or compliance purposes. The tool provides three new APIs (StartDomainExport, GetExport, and ListExports) with built-in rate limiting of 5 exports per domain and 25 per account within 24 hours. There is no charge to use this tool. However, standard data transfer charges apply.&nbsp;</p> <p>&nbsp;The export tool is available in all regions where Amazon SimpleDB is available. You can get started with the export tool by using the AWS API or CLI. For more information, see the&nbsp;<a href="https://docs.aws.amazon.com/AmazonSimpleDB/latest/DeveloperGuide/WorkingWithDomainsExport.html" target="_blank"><u>Amazon SimpleDB documentation</u></a>&nbsp;or the&nbsp;<a href="https://aws.amazon.com/blogs/database/export-amazon-simpledb-domain-data-to-amazon-s3/" target="_blank"><u>AWS Database Blog</u></a><u>.</u></p>
Amazon Connect에서 이메일 연락처 전달 기능 활성화
Amazon Connect에서는 에이전트가 이메일 연락처를 에이전트 워크스페이스와 연락처 센터 패널에서 직접 외부 이메일 주소와 분배 목록으로 전달할 수 있게 되었습니다. 이메일 전달 시 에이전트는 원래 연락처의 소유권을 유지하고 통신 기록을 보존합니다. 이 기능은 에이전트가 손쉽게 백오피스 팀, 주제 전문가, 파트너 및 기타 이해관계자와 연락할 수 있도록 해주며, 고객에게 단일 일관된 연락처 포인트를 유지할 수 있도록 합니다.