この日はエージェンティック AI とセキュリティ、コンピュート/データベース基盤が幅広く取り上げられました。機械学習 ブログでは Amazon Bedrock AgentCore を軸に、Strands Agents による研究アシスタント構築、LangGraph マルチ エージェント、NVIDIA NIM 連携、AgentCore payments のプレビュー、能動監視 AgentWatch など多数の記事が公開。 セキュリティでは AWS Customer Incident Response Team (CIRT) の紹介と、npm を狙ったサプライチェーン攻撃への Well-Architected ベストプラクティスが解説されました。What's New では Amazon RDS Multi-AZ の ENA Express 対応、 GovCloud での EC2 M8i/R8i 提供、AWS Neuron 2.30.0（Trainium3 対応）、AWS Backup の OTP 検証などが登場。 日本語ブログでは JDBC クエリキャッシュ自動化や Physical AI 向けデータ収集基盤の記事が並びました。
Amazon Bedrock AgentCore: Strands・LangGraph・NVIDIA NIM 連携、payments プレビュー、AgentWatch
AWS Neuron 2.30.0: NKI 0.4.0 と Trainium3 対応、22 個の新カーネル
Amazon RDS Multi-AZ: ENA Express 対応でクロス AZ レプリケーション高速化
セキュリティ: AWS CIRT 紹介とソフトウェアサプライチェーン対策のベストプラクティス
コンピュート拡充: GovCloud での EC2 M8i/R8i/X8i 提供
AWS Backup: 論理エアギャップボールトの多者承認に OTP 検証を追加
Starting today, Amazon EC2 M8i and M8i-flex instances are now available in AWS GovCloud (US-East) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The M8i and M8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver up to 20% better performance than M7i and M7i-flex instances, with even higher gains for specific workloads. The M8i and M8i-flex instances are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to M7i and M7i-flex instances.
M8i-flex are the easiest way to get price performance benefits for a majority of general-purpose workloads like web and application servers, microservices, small and medium data stores, virtual desktops, and enterprise applications. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don't fully utilize all compute resources.
M8i instances are a great choice for all general purpose workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. The SAP-certified M8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications.
To get started, sign in to the AWS Management Console. For more information about the new instances, visit the M8i and M8i-flex instance page or visit the AWS News blog.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8i and R8i-flex instances are available in the AWS GovCloud (US-East) Region. These instances are powered by custom Intel Xeon 6 processors, available only on AWS, delivering the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. The R8i and R8i-flex instances offer up to 15% better price-performance, and 2.5x more memory bandwidth compared to previous generation Intel-based instances. They deliver 20% higher performance than R7i instances, with even higher gains for specific workloads. They are up to 30% faster for PostgreSQL databases, up to 60% faster for NGINX web applications, and up to 40% faster for AI deep learning recommendation models compared to R7i.
R8i-flex, our first memory-optimized Flex instances, are the easiest way to get price performance benefits for a majority of memory-intensive workloads. They offer the most common sizes, from large to 16xlarge, and are a great first choice for applications that don't fully utilize all compute resources.
R8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. R8i instances offer 13 sizes including 2 bare metal sizes and the new 96xlarge size for the largest applications. R8i instances are SAP-certified and deliver 142,100 aSAPS, delivering exceptional performance for mission-critical SAP workloads.
To get started, sign in to the AWS Management Console. For more information about the R8i and R8i-flex instances visit the AWS News blog.
Amazon RDS Multi-AZ instances now use ENA Express for replication traffic between Availability Zones. ENA Express uses AWS's Scalable Reliable Datagram (SRD) protocol to optimize network performance by delivering up to 25 Gbps single-flow bandwidth for cross-AZ replication traffic leveraging advanced congestion control and multi-pathing capabilities, and reducing latency variability for Multi-AZ deployments.
RDS Multi-AZ instances replicate data synchronously to a standby in a different Availability Zone to provide high availability and automatic failover. AWS SRD, used by ENA Express, improves replication by dynamically distributing traffic across multiple network paths and adapting to congestion in real time. Amazon RDS Multi-AZ with ENA Express delivers increased write throughput and lower write latencies for write-intensive database workloads.
ENA Express for Amazon RDS is available at no additional charge for Amazon RDS for MariaDB, Amazon RDS for MySQL, Amazon RDS for PostgreSQL, Amazon RDS for Db2, and Amazon RDS for Oracle. It is supported in Africa (Cape Town), Asia Pacific (Hong Kong, Hyderabad, Jakarta, Malaysia, Melbourne, Mumbai, New Zealand, Osaka, Seoul, Singapore, Sydney, Taipei, Thailand, Tokyo), Canada (Central), Canada West (Calgary), Europe (Frankfurt, Ireland, London, Milan, Paris, Spain, Stockholm, Zurich), Israel (Tel Aviv), Mexico (Central), US East (N. Virginia, Ohio), US West (N. California, Oregon), and AWS GovCloud (US) Regions. To enable this on your existing Amazon RDS instances, perform a start-stop or scale compute action. For a list of supported instance types on ENA Express, refer the user guide.
Today, AWS announces the general availability of AWS Neuron 2.30.0, delivering NKI 0.4.0 with new AWS Trainium3 specific hardware capabilities, 22 new NKI Library kernels, and expanded Neuron Agentic Development skills for model porting and validation. This release is for ML developers building custom kernels, optimizing training and inference workloads, or porting models to AWS Trainium and Inferentia.
NKI 0.4.0 introduces the activate2 Scalar Engine instruction for Trn3, OCP FP8 input support for matrix multiplication, and bytes-aware tile-size constants that simplify kernel development. The NKI Library adds 3 new core kernels for segmented attention, KV-parallel prefill, and FP8 quantization, as well as 19 experimental kernels covering context parallelism, MXFP8 training, state-space models, and fused optimizers. PyTorch reference implementations are now available for 29 kernels.
Neuron Agentic Development, launched as a beta in April 2026, adds two new skills: neuron-framework-autoport for porting HuggingFace models to NxD Inference end to end, and neuron-framework-equivalence for validating numerical equivalence of ported models. By default, both are now included in all Neuron DLAMIs and Deep Learning Containers. This release also introduces the Neuron DRA Driver for Kubernetes Dynamic Resource Allocation, enabling topology-aware scheduling of Trainium accelerators and Elastic Fabric Adapter (EFA) interfaces. The Neuron Graph Compiler now delivers significant compile-time improvements, and the Neuron Runtime enables zero-copy host-device transfers by default.
AWS Neuron is available in all AWS Regions where Amazon EC2 Trn1, Trn2, Inf2, and Inf1 instances are available. For more information about Regional availability, see the AWS Region table.
To get started, see the following resources:
Amazon Connect Customer now supports tag-based access controls for the agent login/logout report, enabling you to apply granular access controls to meet compliance and regulatory requirements for data access. Contact center administrators can use resource tags to control who has access to view login and logout information for specific agents in their contact center. For example, you can tag agents with Department:Customer Service to only enable the Customer Service team manager to see login/logout information for these agents.
Amazon Connect Customer agent login/logout report is available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect Customer is offered. To learn more about dashboards, see the . To learn more about Amazon Connect Customer, the AWS cloud-based contact center, please visit the Amazon Connect Customer website.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) X8i instances are available in the Asia Pacific (Singapore), Asia Pacific (Sydney) and AWS GovCloud (US-West) regions. These instances are powered by custom Intel Xeon 6 processors available only on AWS. X8i instances are SAP-certified and deliver the highest performance and fastest memory bandwidth among comparable Intel processors in the cloud. They deliver up to 43% higher performance, 1.5x more memory capacity (up to 6TB), and 3.3x more memory bandwidth compared to previous generation X2i instances.
X8i instances are designed for memory-intensive workloads like SAP HANA, large databases, data analytics, and Electronic Design Automation (EDA). Compared to X2i instances, X8i instances offer up to 50% higher SAPS performance, up to 47% faster PostgreSQL performance, 88% faster Memcached performance, and 46% faster AI inference performance. X8i instances come in 14 sizes, from large to 96xlarge, including two bare metal options.
To get started, visit the AWS Management Console. X8i instances can be purchased via Savings Plans, On-Demand instances, and Spot instances. For more information visit X8i instances page
AWS Backup now requires one-time password (OTP) verification when approvers vote on Multi-party approval actions for logically air-gapped vaults.
When an approver votes on an Multi-party approval request, they must enter a six-digit code sent to their registered email address in AWS IAM Identity Center. This ensures that only verified approvers can authorize protected vault operations, adding an additional layer of security for approval teams. OTP verification applies automatically to all existing and new Multi-party approval sessions for logically air-gapped vaults at no additional charge, with no setup required.
You can get started with AWS Backup using the AWS Backup console, SDKs, or CLI. Multi-party approval with OTP verification is available in all AWS Regions where logically air-gapped vaults are supported. To learn more, visit the documentation.
AWS Advanced JDBC Wrapper の Remote Query Cache Plugin を使用して、JDBC クエリ結果を Amazon ElastiCache for Valkey に自動的にキャッシュする方法を紹介します。SQL ヒントを追加するだけで、アプリケーションコードの大幅な変更なしにデータベース負荷を削減しパフォーマンスを向上できます。
スタートアップとの仕事には、本当に刺激的な何かがあります。私は 2 年以上にわたって、このような仕事に精力的に […]
みなさん、こんにちは。株式会社 APTO で Physical AI のデータ基盤を構築している田中です。 近 […]
There have been multiple notable supply chain attacks using the npm Registry since September: Shai-Hulud, Chalk/Debug, one abusing tea.xyz tokens, and recently axios. Thanks to community efforts involving the Amazon Inspector team, the Open Source Security Foundation, and others, the affected packages were quickly flagged, which reduced the impact of these incidents. Supply chain attacks […]
May 26, 2026: This post was originally published in July 2022. It has been updated to reflect current engagement options, new threat intelligence resources such as the Threat Technique Catalog for AWS (TTC), additional open-source tools, and the distinction between AWS CIRT support and the AWS Security Incident Response managed service. Welcome back, or welcome […]
In this post, we explore how the Amazon Quick document and visualization creation capabilities work, what you can build with them, and how professionals across roles are using them to reclaim hours of their workweek. From technical execution to strategic judgment Most professional roles carry an unspoken assumption that a significant portion of your time […]
When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users are satisfied with the answers they receive, and which capabilities are driving the most engagement. Without a centralized observability solution, this data is scattered across multiple AWS […]
Building an AI app shouldn’t require a PhD in machine learning (ML) or months of wrestling with complex architectures. Yet that’s exactly what happens when you try to orchestrate multiple API calls, manage conversation state, and create agents that can reason on their own. I’ve seen straightforward AI ideas balloon into sprawling projects that demand […]
In this post, we demonstrate the capabilities of AgentWatch through practical implementation. You will see how the solution performs infrastructure checks every 15 minutes, summarizing CloudWatch metrics, logs, and alarms across multiple AWS accounts. The agent delivers actionable reports directly to Slack and responds to natural language queries about your infrastructure state. Throughout, we explore three human-in-the-loop patterns that maintain appropriate oversight while maximizing automation.
In this post you'll learn how to build a multi-agent campaign review system that demonstrates parallel reasoning, context persistence, and traceable execution paths using an integrated architecture that combines NVIDIA NIM for GPU-accelerated inference. Amazon Bedrock AgentCore provides managed runtime, shared memory and built-in observability and Strands Agents provide serverless multi-agent orchestration. This approach supports performance, scalability, and operational insight in production environments. While the example focuses on marketing content review, the same pattern applies to digital assistants, review automation, and retrieval-augmented generation pipelines.
In this post, we provide a solution to build highly scalable, serverless multi-agent generative AI systems on AWS using LangGraph Agents as orchestrators integrated with Amazon Bedrock AgentCore Memory and Amazon Bedrock AgentCore Observability.
Amazon Bedrock AgentCore payments is now available in preview, it provides instant payments to paid external services with no manual billing setup per provider, stablecoin support for cost-effective microtransactions that make sub-cent transactions economically viable, and configurable spending guardrails that give you fine-grained control over agent budgets and transaction limits. In this post, we walk you through a technical deep dive of AgentCore payments.