AWS News - 2026-07-17

2026-07-17
最終更新: 2026-07-21 02:56:57 JST

AI による概要

31 記事

この日は日本語ブログでデータベース運用の実践記事が集中しました。Amazon RDS for Oracle ではデータマスキング、REDO 圧縮によるレプリケーションラグ最適化とその診断・解消の 2 部構成、RDS for Db2 では Terraform によるデプロイ、カスタムドメイン名の維持、セルフマネージド AD の Kerberos 認証、DMS を使ったオンプレミス AIX Db2 へのフェイルバック、アーカイブログ同期によるハイブリッド構成と、移行後の運用を支える記事が揃っています。Lambda には自己管理の S3 バケットをコード置き場にできる機能が追加され、75GB のコードストレージ上限やデプロイ成果物の所在に関する制約が緩和されました。Amazon S3 は Standard-IA と One Zone-IA への移行に必要だった 30 日の最低保持期間を撤廃しています。Bedrock には Grok が追加され、AgentCore と Nova 2 Sonic による電話応対 AI の構築手順も公開されました。

主要トピック
  • データベース運用: RDS for Oracle のデータマスキング、REDO 圧縮によるレプリカ遅延の最適化と診断・解消

  • データベース移行: RDS for Db2 の Terraform デプロイ、カスタムドメイン維持、Kerberos 認証、AIX へのフェイルバック

  • サーバーレス: Lambda が自己管理 S3 バケットでのコード保管に対応し、75GB 上限の制約を緩和

  • ストレージコスト: S3 が Standard-IA / One Zone-IA への移行における 30 日の最低保持期間を撤廃

  • 基盤モデル: Amazon Bedrock に Grok 4.3 が登場、エージェント・エンタープライズ用途での特徴を解説

  • 音声 AI: AgentCore と Nova 2 Sonic による電話注文システムの構築手順

  • 国内事例: エブリーが Aurora DSQL 採用でデータベースコストを 90% 以上削減

  • 脆弱性: AgentCore Python SDK の OpenTelemetry スパン経由の情報漏洩、jsii-diff の OS コマンドインジェクション

AI (Claude Opus 5) が生成 · 2026-08-28 09:25:46 JST

AWS What's New

Amazon S3 removes 30-day minimum for transitions to S3 Standard-IA and S3 One Zone-IA

You can now transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) and S3 One Zone-Infrequent Access (S3 One Zone-IA) as soon as the day they are created, without the previous 30-day minimum retention in S3 Standard. These storage classes offer up to 40% lower storage costs than S3 Standard while still providing millisecond access when needed, making them ideal for backups, log analytics, and compliance workloads where data becomes cold within hours or days.

To get started, create new S3 Lifecycle rules to transition objects to S3 Standard-IA and S3 One Zone-IA as soon as 0 days after creation. You can configure these rules using the S3 console, AWS CLI, or SDKs. This update is available in all AWS Regions where S3 Standard-IA and S3 One Zone-IA are available. For pricing details, visit the Amazon S3 pricing page. To learn more, visit the overview page and documentation.

Amazon EC2 High Memory U7in-24TB instances now available in AWS Europe (Paris) region

Amazon EC2 High Memory U7in-24TB instances (u7in-24tb.224xlarge) are now available in AWS Europe (Paris) region. U7i instances are part of the AWS 7th generation and are powered by custom fourth-generation Intel Xeon Scalable processors (Sapphire Rapids). U7in-24TB instances offer 24 TiB of DDR5 memory, enabling customers to scale transaction processing throughput in a fast-growing data environment. U7i instances offer up to 45% better price performance over existing U-1 instances.

U7in-24TB instances deliver 896 vCPUs and support up to 100 Gbps of Amazon EBS bandwidth for faster data loading and backups, 200 Gbps of network bandwidth, and ENA Express. U7i instances are ideal for customers running mission-critical in-memory databases like SAP HANA, Oracle, and SQL Server.

To learn more about U7i instances, visit the High Memory instances page.

AWS Sustainability service now includes water withdrawals data

Customers can now view annual water withdrawals data associated with their AWS workloads in AWS Sustainability, alongside existing carbon emissions data. This enhancement helps organizations gain comprehensive visibility into their environmental impact across carbon and water.

Water withdrawals data is available by AWS Region, service, and AWS account on an annual basis through the AWS Sustainability console and API. The data represents the total volume of water withdrawn for data center operations, with efficiency improvements reflected as lower withdrawal volumes.

AWS Sustainability water withdrawals data is available at no additional charge in all AWS Regions where the service is available.

To get started visit the AWS Sustainability user guide. For more information, see the AWS Sustainability console page.

Amazon S3 Event Notifications now include system-generated tags

Amazon S3 Event Notifications now include system-generated tags in events delivered to all destinations including Amazon EventBridge, Amazon SQS, Amazon SNS, and AWS Lambda. System-generated tags are metadata labels attached to your bucket by AWS services. You can use these tags to filter events from thousands of buckets with a single EventBridge rule, instead of listing each bucket name individually.

To get started, enable S3 Event Notifications on your general purpose buckets through the AWS Management Console, AWS SDK, or AWS CLI. If AWS services like AWS CloudFormation have already applied system-generated tags to your buckets, S3 automatically includes them in new event notifications. System-generated tags in S3 Event Notifications are available at no additional cost in all AWS Regions and require no changes to existing configurations. To learn more, visit the S3 Event Notifications documentation.

PostgreSQL 19 Beta 2 is now available in Amazon RDS Database Preview Environment

詳細を表示

Amazon RDS for PostgreSQL 19 Beta 2 is now available in the Amazon RDS Database Preview Environment, allowing you to evaluate the pre-release of PostgreSQL 19 on Amazon RDS for PostgreSQL. You can deploy PostgreSQL 19 Beta 2 in the Amazon RDS Database Preview Environment that has the benefits of a fully managed database.

PostgreSQL 19 introduces parallel autovacuum with configurable worker limits, so routine maintenance no longer bottlenecks large databases. The new REPACK CONCURRENTLY command rebuilds tables and reclaims storage online, keeping production databases accessible without third-party extensions. Native SQL Property Graph Queries (SQL/PGQ) let you express relationship traversals directly in standard SQL, eliminating separate application logic. Logical replication now synchronizes sequence values automatically and can be enabled dynamically without a server restart, reducing planned downtime. Beta 2 adds bug fixes and stability improvements from the Beta 1 testing period, including refinements to parallel autovacuum worker coordination and REPACK CONCURRENTLY lock handling. Please refer to PostgreSQL community announcement for more details.

Amazon RDS Database Preview Environment database instances are retained for a maximum period of 60 days and are automatically deleted after the retention period. Amazon RDS database snapshots that are created in the preview environment can only be used to create or restore database instances within the preview environment. You can use the PostgreSQL dump and load functionality to import or export your databases from the preview environment.

Amazon RDS Database Preview Environment database instances are priced as per the pricing in the US East (Ohio) Region.

Amazon EC2 now surfaces the public SSM parameters associated with public AMIs

Amazon EC2 now surfaces the AWS Systems Manager (SSM) Parameter Store parameters associated with public AMIs directly in the AMI metadata. When you describe a public AMI, the response includes the associated public SSM parameter, making it easy to discover and reference in your configurations.

Previously, finding the SSM parameter associated with a public AMI required searching through SSM parameter namespaces manually. Now, when you describe a public AMI, the response includes the public SSM parameter it is associated with. This allows you to discover the SSM parameter for a public AMI easily and use it as an alias that always resolves to the latest version, simplifying AMI updates across your infrastructure.

This capability is available to all customers at no additional cost in all AWS regions including AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD, and AWS GovCloud (US) Regions. To learn more, please visit the documentation.

Amazon EC2 now surfaces the public SSM parameters associated with public AMIs

Amazon EC2 now surfaces the AWS Systems Manager (SSM) Parameter Store parameters associated with public AMIs directly in the AMI metadata. When you describe a public AMI, the response includes the associated public SSM parameter, making it easy to discover and reference in your configurations.

Previously, finding the SSM parameter associated with a public AMI required searching through SSM parameter namespaces manually. Now, when you describe a public AMI, the response includes the public SSM parameter it is associated with. This allows you to discover the SSM parameter for a public AMI easily and use it as an alias that always resolves to the latest version, simplifying AMI updates across your infrastructure.

This capability is available to all customers at no additional cost in all AWS regions including AWS China (Beijing) Region, operated by Sinnet, and AWS China (Ningxia) Region, operated by NWCD, and AWS GovCloud (US) Regions. To learn more, please visit the documentation.

Track cost efficiency trends directly in Billing and Cost Management Dashboards with the new Cost Efficiency widget

Today, AWS Billing and Cost Management (BCM) announces support for Cost Efficiency widget in BCM Dashboards. You can now view cost efficiency trends alongside Cost Explorer, Budgets, and reports for Savings Plans and Reserved Instance coverage and utilization reports. This provides a unified view of your spending, commitments, and optimization performance in a single, tailored dashboard.

The Cost Efficiency widget displays your efficiency score over time, showing how your efficiency across your AWS environment changes over time. You can view efficiency by AWS account, region, or overall, and adjust granularity to analyze trends at the level that matters most to your team. By adding one or more Cost Efficiency widget to a BCM Dashboard, you can monitor your optimization performance from your existing cost management workflows. The widget links directly to the Cost Optimization Hub console so you can easily take actions when you have recommendations for savings opportunities.

With the Cost Efficiency widget, you can create a unified view of your spending, commitments, budgets, and optimization performance. The widget is fully integrated with dashboard exports and can be included in scheduled email reports or downloaded as a CSV or PDF for offline analysis. They are also included with cross-account dashboard sharing.

The Cost Efficiency widget for BCM Dashboards is available in all AWS commercial Regions at no additional charge. To learn more, visit our User Guide.

Amazon Managed Grafana achieves FedRAMP High authorization in AWS GovCloud (US)

Amazon Managed Grafana is now a FedRAMP High authorized service in the AWS GovCloud (US-East) and AWS GovCloud (US-West) regions. Federal agencies, public sector organizations, and other enterprises with FedRAMP High compliance requirements can now use Amazon Managed Grafana to visualize, query, and alert on operational metrics across their AWS and hybrid environments while meeting their strict security and compliance requirements.

Amazon Managed Grafana is a fully managed service based on open-source Grafana that makes it easier for you to visualize and analyze your operational data at scale. The Federal Risk and Authorization Management Program (FedRAMP) is a US government-wide program that delivers a standard approach to the security assessment, authorization, and continuous monitoring for cloud products and services. 

For more details about Amazon Managed Grafana in AWS GovCloud (US), visit the Amazon Managed Grafana GovCloud documentation or contact your AWS account team for more information. To learn more, visit the Amazon Managed Grafana product page.

Amazon CloudWatch Synthetics now supports customer managed encryption keys

Amazon CloudWatch Synthetics now supports customer managed AWS Key Management Service (KMS) keys for encrypting canary environment variables, giving you full control over the encryption of sensitive configuration data such as API keys, credentials, and tokens. Previously, environment variables were encrypted at rest using only an AWS owned key. Now, in addition to the default AWS owned key, you can specify your own symmetric KMS key for encryption at rest, and you can also encrypt individual values client-side before they are stored.

With encryption at rest, you specify a customer managed KMS key when creating or updating a canary, and CloudWatch Synthetics uses a grant on the key to handle encryption and decryption transparently. With client-side encryption, you encrypt values before storage, and your canary script decrypts them at runtime using the AWS KMS Decrypt API. This benefits teams in regulated industries that require organizational key management policies, auditability, or key rotation controls across all services.

Amazon CloudWatch Synthetics customer managed key encryption is available in all commercial AWS Regions. Multi-location canaries can use a different KMS key per replica Region.

To learn more, see Encrypting environment variables in the Amazon CloudWatch User Guide.

AWS Japan Blog

Amazon SQS が誕生 20 周年に: 大規模かつ信頼性の高いメッセージングを支えてきた 20 年間

2006 年 7 月 13 日、Amazon EC2 および Amazon S3 と共にお客様向けに提供される […]

音声 AI エージェントで実現するセントラルキッチンのハンズフリーオペレーション

本ブログは、株式会社アドバンスト・メディア様と Amazon Web Services Japan が共同で執 […]

Amazon RDS for Oracle でのデータマスキング

Oracle Data Masking and Subsetting Pack を Amazon RDS for Oracle で使用する方法を説明します。Oracle Enterprise Manager (OEM) でのデータマスキングのセットアップから、マスキングスクリプトの生成と実行、EventBridge と Step Functions による自動化まで、非本番環境を本番相当のデータで安全にリフレッシュする手順を紹介します。

REDO 圧縮による Amazon RDS for Oracle レプリカのレプリケーションラグ最適化 – パート 1

本記事では、Amazon RDS for Oracle のクロスリージョンレプリカにおけるレプリケーションラグを REDO 圧縮機能で最適化する方法を説明します。REDO 圧縮の仕組み、有効化手順、実際の負荷テストによる効果を SLOB ツールを用いて検証し、圧縮有効時にラグが大幅に削減されることを示します。

【開催報告】AWS Summit Japan 2026 — 「AI ペルソナ達がビジネス課題解決を加速する」バーチャル AI エキスパート

AWS Summit Japan 2026 の流通小売・消費財・飲食ブースにて、私たちは「バーチャル AI エ […]

Amazon RDS for Oracle レプリカのレプリカ遅延を診断して解消する – Part 2

本記事は Amazon RDS for Oracle リードレプリカのレプリケーション遅延を減らす 2 回シリーズの後編です。CloudWatch メトリクスとデータベースビューによる遅延の監視、待機イベント分析による根本原因の特定、そして遅延を解消するための段階的なトラブルシューティング手法を、プライマリ側とリードレプリカ側の 2 つの実践シナリオを通じて紹介します。

Terraform を使用した Amazon RDS for Db2 のデプロイ

IBM Db2 ワークロードを運用しているお客様向けに、Amazon RDS for Db2 を再現性が高く監査可能な方法でプロビジョニングするモジュール式の Terraform テンプレートを紹介します。空の AWS アカウントから、AWS License Manager で追跡される稼働中の RDS for Db2 インスタンスまでを 1 時間以内で構築できます。ネットワーク、IAM、暗号化、パラメータグループ、インスタンス、ライセンスまでを 7 つのモジュールでカバーします。

Amazon RDS for Db2 でカスタムドメイン名を維持する

IBM Db2 ワークロードを Amazon RDS for Db2 へ移行する際、既存のアプリケーション接続文字列を書き換えずに済ませたいという要望はよくあります。本記事では、SNI ベースの TLS プロキシをデプロイするモジュール化された Terraform テンプレートを紹介します。エンドツーエンドの TLS 暗号化を維持しながら、既存のカスタムドメイン名とポートをそのまま利用できます。

ナレッジグラフと IoT データによる生産ラインのボトルネック分析 〜AI エージェントのための製造データの構造化〜

はじめに こんにちは、IoT Specialist ソリューションアーキテクトの新澤です。2026 年 6 月 […]

Amazon RDS for Db2 でセルフマネージド AD の Kerberos 認証を有効にする

Amazon RDS for Db2 は、お客様自身の Active Directory を利用した Kerberos 認証をサポートしており、データベースユーザーの認証を一元化してシングルサインオンを実現できます。本記事では、専用の OU とサービスアカウントの作成、必要な AD 権限の委任、KMS で暗号化したシークレットへの認証情報の保存、そしてドメイン参加済みクライアントからの接続検証まで、セルフマネージド AD による Kerberos 認証の設定手順を順を追って説明します。

AWS DMS を使って Amazon RDS for Db2 からオンプレミスの AIX Db2 へフェイルバックする

AWS Database Migration Service (AWS DMS) を使い、Amazon RDS for Db2 からオンプレミスの AIX Db2 インスタンスへ CDC のみのリバースレプリケーションを構成する方法を説明します。プライベートのみのネットワーク上で検証済みのフェイルバック経路を用意し、移行カットオーバー後の検証期間に問題が発生してもデータの整合性を保ったまま迅速にロールバックできるようにします。

エブリーが、Aurora DSQL の採用でデータベースコストを 90% 以上削減とメンテナンス運用からの解放も実現

    株式会社エブリーは、「前向きなきっかけを、ひとりひとりの日常にとどける。」というミッションのもと、デリ […]

バックアップ用オンプレミス Db2 サーバーを Amazon RDS for Db2 と同期する

Amazon RDS for Db2 のアーカイブログを Amazon S3 にコピーし、セルフマネージドの Db2 インスタンスへ継続的に適用することで、両者を同期させ続けるハイブリッドアーキテクチャを紹介します。これにより、マネージドサービスの利点を活かしつつ、緊急バックアップサーバーや切り戻しの選択肢を確保できます。IAM 権限の設定からロールフォワードの運用、トラブルシューティングまでの手順を解説します。

Chronos-2 on Amazon SageMaker AI にアクセスする3つのパターン – AutoGluon-Cloud v0.5.0 で数行に

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【開催報告】AWS Summit Japan 2026 〜 Future of Agentic Commerce ブース

AWS で実現する新しい E-Commerce の形 〜 Future of Agentic Commerce […]

AWS Security Bulletins

CVE-2026-15737 - Sensitive content disclosure via OpenTelemetry spans in AgentCore Python SDK

Bulletin ID: 2026-058-AWS
Scope: AWS
Content Type: Important (requires attention)
Publication Date: 07/16/2026 10:15 AM PDT

Description:

Bedrock AgentCore Python SDK (bedrock-agentcore) is an open-source Python library that provides client tools for building AI agents on the Amazon Bedrock AgentCore platform. We identified CVE-2026-15737 in the OpenTelemetry instrumentation of the SDK. Affected versions wrote raw user prompts and complete agent responses into OpenTelemetry span attributes on every invocation without filtering or masking. These spans flow into the customer's aws/spans CloudWatch log group, where a local authenticated user with CloudWatch Logs read access could access the potentially sensitive content.

Impacted versions: 1.4.8, 1.5.0

Please refer to the article below for the most up-to-date and complete information related to this AWS Security Bulletin.

CVE-2026-15895: OS command injection in jsii-diff in AWS jsii

Bulletin ID: 2026-057-AWS
Scope: AWS
Content Type: Important (requires attention)
Publication Date: 07/15/2026 12:00 PM PDT

Description:

jsii-diff is a command line tool to compare the API differences between two jsii assemblies, and report errors if there are backwards-incompatible changes to the API. We identified CVE-2026-15895, an issue where specially formatted command line arguments can be used to execute shell commands via this tool.

Impacted versions: < 1.131.0

Please refer to the article below for the most up-to-date and complete information related to this AWS Security Bulletin.

AWS Machine Learning Blog

Building a restaurant telephony AI host with Amazon Bedrock AgentCore and Amazon Nova 2 Sonic

In this post, we show you how to build a voice ordering system that answers a phone number and takes the order from greeting to confirmation. The system uses Amazon Bedrock AgentCore to host and run the agent and Amazon Nova 2 Sonic for real-time speech, connected to a restaurant backend through the Model Context Protocol (MCP). The walkthrough covers deploying the full stack with AWS Cloud Development Kit (AWS CDK) and bridging a phone call into the agent through a Session Initiation Protocol (SIP) gateway on Amazon Elastic Container Service (Amazon ECS) and AWS Fargate. It also warms the agent session while the phone is still ringing, so the caller never hears dead air.

Introducing Grok on Amazon Bedrock

This post covers what makes Grok 4.3 a great fit for agentic and enterprise workloads, how you access it through Amazon Bedrock, and how to use the capabilities most teams reach for first: a basic chat request, configurable reasoning effort, tool calling, structured output, image input, and stateful multi-turn conversations.

Build enterprise search for agents with Amazon Bedrock Managed Knowledge Base

In this post, we walk through the three pillars that make this possible: simplified setup, smarter retrieval, and production readiness. We also show you code examples for setting up a knowledge base and retrieving from it.

AWS Compute Blog

Introducing self-managed Amazon S3 buckets for AWS Lambda function code

If you manage Lambda functions at scale, you’ve likely hit the 75 GB code storage limit or explained to your security team why deployment artifacts live in an S3 bucket you don’t control. Today, we’re announcing self-managed Amazon S3 buckets for AWS Lambda deployment packages. Lambda reads your code directly from your bucket, eliminating quota […]