この日は生成 AI エージェントの本番実装を軸としたコンテンツが中心でした。AWS Lambda durable functions と Amazon Bedrock を組み合わせた音声分析ワークフロー、SageMaker AI 上での NVIDIA Blackwell (P6-B200) を用いた学習最適化、既存 REST サービスを A2A/MCP 対応エージェント化する「agentic overlays」など、実践的なアーキテクチャ解説が並びました。Stripe の金融コンプライアンス向け本番エージェントや保険ブローカー向け Cara の事例も紹介されています。基盤系では EC2 C7a (シンガポール)・M8a (ムンバイ)・C8in の追加リージョン展開、Redshift RG のリザーブドインスタンス前払いオプション、GovCloud での Kiro / Bedrock 各モデルの FedRAMP High・DoD IL-4/5 認証取得が発表されました。日本語ブログでは Amazon Quick on Desktop の東京リージョン対応、東京電力エナジーパートナーの Amazon Connect × 生成 AI によるコンタクトセンター変革事例が取り上げられました。
AI エージェント本番実装: Lambda durable functions + Bedrock による音声分析、Stripe の金融コンプライアンスエージェント、agentic overlays による既存 REST サービスのエージェント化
機械学習基盤: SageMaker AI での NVIDIA Blackwell 学習最適化、SeedVR2 による超解像、モダンデータメッシュ戦略
コンピュート拡充: EC2 C7a / M8a / C8in の追加リージョン展開、Redshift RG リザーブドインスタンス前払いオプション
政府向けコンプライアンス: GovCloud で Kiro・OpenAI GPT・NVIDIA Nemotron が FedRAMP High / DoD IL-4/5 認証取得
国内事例: Amazon Quick on Desktop 東京リージョン対応、東京電力エナジーパートナーのコンタクトセンター CX 変革
セキュリティ: AWS Network Firewall が VisionHeight のマネージド脅威インテリジェンスルールに対応
Amazon Redshift announces the availability of All Upfront and Partial Upfront payment options for 1-year and 3-year reserved instances for RG instances. Reserved instances allow customers to benefit from significant savings over on-demand rates. The new payment options join the previously available No Upfront option, giving customers greater flexibility to optimize compute costs based on their financial preferences. All Upfront delivers the maximum discount by paying for the full reservation term at the start, while Partial Upfront splits the cost between an initial payment and lower monthly installments.
Amazon Redshift RG reserved instances with All Upfront and Partial Upfront payment options are now available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (Oregon), US West (N. California), Canada (Central), South America (São Paulo), Europe (Ireland), Europe (Frankfurt), Europe (London), Europe (Paris), Europe (Stockholm), Europe (Milan), Europe (Spain), Africa (Cape Town), Asia Pacific (Tokyo), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Mumbai), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Osaka), Asia Pacific (Malaysia), Asia Pacific (Hyderabad), Asia Pacific (Taiwan), Asia Pacific (Melbourne), Asia Pacific (Bangkok), and Mexico (Central).
For pricing details, visit the Amazon Redshift pricing page.
Kiro is now FedRAMP High and Department of Defense Cloud Computing Security Requirements Guide (DoD CC SRG) Impact Level (IL) 4 and 5 authorized in the AWS GovCloud (US) Regions.
Federal agencies, public sector organizations, and other enterprises with FedRAMP High and DoD CC SRG IL-4/5 compliance requirements can now use Kiro as their agentic engineering partner with confidence that it meets the security and compliance standards required for sensitive workloads.
Kiro is an agentic AI with an integrated development environment (IDE) and command-line interface (CLI) that helps you build applications from prototype to production with spec-driven development. From simple to complex tasks, Kiro works alongside you to turn prompts into detailed specs, then into working code, docs, and tests — so what you build is exactly what you want and ready to share with your team. With native Model Context Protocol (MCP) support, Kiro connects to documentation, databases, APIs, and other enterprise resources, providing capability for mission-critical development workflows.
For more details about Kiro in AWS GovCloud (US), visit the GovCloud documentation or contact your AWS account team for more information. To learn more about Kiro, visit the Kiro product page.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8in instances are available in the AWS US East (Ohio) and Europe (Ireland) regions. C8in instances are powered by custom, sixth generation Intel Xeon Scalable processors, available only on AWS. These instances feature the latest sixth generation AWS Nitro cards, delivering up to 43% higher performance compared to previous generation C6in instances.
C8in instances deliver larger sizes and scale up to 384 vCPUs. C8in instances deliver 600 Gbps network bandwidth—the highest among enhanced networking EC2 instances—making them ideal for network-intensive workloads like distributed compute and large-scale data analytics.
C8in instances are available in US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo, Sydney, Singapore, Malaysia), and Europe (Spain, Frankfurt, Ireland) regions. C8in instances are available via Savings Plans, On-Demand, and Spot instances. For more information, visit the Amazon EC2 C8i instance page.
AWS Network Firewall now supports two new managed rule groups from VisionHeight, available through AWS Marketplace: Zero-Day Threat Protection, and Noisy Scanners and Tor Protection. These rule groups expand the managed rules offerings for AWS Network Firewall, giving customers access to proprietary threat intelligence built on VisionHeight's Pulse telemetry.
Zero-Day Threat Protection proactively blocks malicious IP infrastructure before it appears on public blocklists. This rule group helps organizations get ahead of emerging threats by weeks, strengthening defense for workloads facing targeted attacks. Tor Protection reduces firewall log noise by blocking communication with active Tor exit nodes and filtering traffic from known high-volume scanning sources. With daily refresh cycles, this rule group suppresses noise at first packet —before events are generated—lowering SOC alert volume, reducing SIEM ingestion costs, and removing Tor as a path into or out of your environment.
Managed rules for AWS Network Firewall are available from AWS Marketplace sellers including Check Point, Fortinet, Infoblox, Lumen, Rapid7, ThreatSTOP, Trend Micro, and VisionHeight. For a full list of supported regions, visit the AWS Regional Services page.
To get started, visit the AWS Network Firewall console or browse available managed rules in AWS Marketplace. For more information, see the AWS Network Firewall product page and the service documentation.
OpenAI GPT, OpenAI GPT OSS, and NVIDIA Nemotron models are now FedRAMP High and Department of Defense Cloud Computing Security Requirements Guide (DoD CC SRG) Impact Level (IL) 4 and 5 approved within Amazon Bedrock in the AWS GovCloud (US) Regions.
Federal agencies, public sector organizations, and other enterprises with FedRAMP High and DoD CC SRG IL-4/5 compliance requirements can now use these models on Amazon Bedrock to build and scale generative AI applications with confidence that they meet the security and compliance standards required for government workloads. These models are powered by Mantle, a next-generation distributed inference engine on Amazon Bedrock, which provides high-performance serverless inference with zero operator access, automated capacity management, and out-of-the-box compatibility with OpenAI API specifications.
To learn more, visit the Amazon Bedrock product page, Amazon Bedrock documentation, and the AWS GovCloud (US) compliance page. To get started, visit the Amazon Bedrock console.
Starting today, the general-purpose Amazon EC2 M8a instances are available in AWS Asia Pacific (Mumbai) 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.
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.
M8a instances are built using the latest sixth generation AWS Nitro Cards 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.
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 M8a instance page.
Starting today, the compute optimized Amazon EC2 C7a instances are now available in AWS Asia Pacific (Singapore) Region. C7a instances, powered by 4th Gen AMD EPYC processors (code-named Genoa) with a maximum frequency of 3.7 GHz, deliver up to 50% higher performance compared to C6a instances.
C7a instances offer new processor capabilities such as AVX-512, VNNI, and bfloat16. They feature Double Data Rate 5 (DDR5) memory to enable high-speed access to data in memory and 2.25x more memory bandwidth compared to C6a instances, making these instances ideal for even latency sensitive workloads. C7a instances offer 12 sizes from medium to 48xlarge, including a bare-metal size. And with the launch of C7a instances, customers can attach up to 128 EBS volumes to an EC2 instance — by comparison, C6a instances allow up to 28 EBS volume attachments to an EC2 instance. These instances are built on the AWS Nitro System and ideal for high performance, compute-intensive workloads such as batch processing, distributed analytics, high performance computing (HPC), ad serving, highly-scalable multiplayer gaming, and video encoding.
C7a instances are available through On-Demand, Spot Instances, and Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, see C7a instances.
このBlog postはOpen Governance for MySQL: A Step Forward f […]
本ブログは東京電力エナジーパートナー株式会社 サービスソリューション事業部 今野拓也様の監修のもと、アマゾン […]
Amazon Quick on Desktop が AWS アジアパシフィック (東京) リージョンで利用可能になりました。本ブログでは、Amazon Quick on Desktop の機能やアップデートについて紹介します。
This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires.
In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed through the Model Context Protocol (MCP) to provide self-service health event analytics.
In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment steps, and show performance comparisons that highlight the quality improvements and processing efficiency you can achieve. By the end of this post, you’ll have the practical knowledge needed to implement this super resolution solution.
This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell’s expanded memory, choose the right precision format for your model size (1B to 64B parameters), and apply activation checkpointing strategically. By the end, you have a practical framework for tuning your training configuration and launching distributed training jobs on P6-B200 instances.
In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays. Agentic overlays are thin wrapper layers that transform traditional REST-based services into agents capable of participating in A2A interactions. They also expose REST APIs as tools compatible with the Model Context Protocol (MCP). Together, they let enterprises add A2A capabilities to existing REST services without rewriting business logic, without duplicating code, and without running parallel infrastructures. This reduces agent sprawl in the infrastructure by reusing existing services as agents. We provide reference architectures and sample code that show how to build agentic overlays.
In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe’s ReAct agent framework and the infrastructure decisions behind a dedicated agent service. We also discuss the role of human oversight in maintaining accountability, and key lessons about task decomposition, orchestration patterns, and cost optimization through prompt caching. By the end, you will understand how to design agentic systems that scale compliance operations without compromising quality or auditability.
In this post, we explore how Cara, built in cooperation with AWS, addresses these challenges. We walk through the technical design decisions and the AWS services that support the solution. We also share measurable outcomes Cara has delivered for enterprise brokerages.
In this post, you’ll build a server that extracts text from PDF files in Amazon S3 in real time. This protocol-based approach provides programmatic document access. You’ll walk through the architecture, set up the server, and run interactive document queries. Along the way, you’ll compare this approach with Amazon Textract so you can decide which tool fits your workload.
Contact centers handle millions of voice interactions monthly, but transforming raw call recordings into actionable insights remains a manual and fragile process. With voice analytics workflows, you can decrease the average handle time of a voice call from minutes to seconds and increase the efficiency and productivity of your support agents. Today, these workflows often […]