ニューヨークで AWS Summit が開催される週で、監視・可観測性と生成 AI の話題が中心でした。Amazon CloudWatch では、メトリクスをアカウント/リージョンをまたいで集約できる Metrics Centralization と、統合クエリ・可視化を提供する Query Studio がともに一般提供となりました。AWS FinOps Agent がプレビュー提供され、Amazon Bedrock では Gemma 4 が利用可能になりました。AWS WAF は Bot Control の新機能として、x402 プロトコルを用いて AI ボットへコンテンツアクセス料金を課金できる AI トラフィック収益化を発表しました。コンピューティングでは EC2 C7i がイスラエル (テルアビブ)、C8i が欧州 (ストックホルム) で提供開始、RDS for MariaDB/MySQL の各バージョン対応も進みました。Amazon GameLift Servers はネットワーク帯域を無料化しました。日本語ブログでは週刊 AWS や生成 AI 実用化の事例、Amazon Connect の最新アップデートなどが紹介されました。
監視/可観測性: CloudWatch Metrics Centralization と Query Studio の一般提供
生成 AI: AWS FinOps Agent プレビュー、Bedrock での Gemma 4 提供
エッジ/セキュリティ: AWS WAF の AI トラフィック収益化 (x402 プロトコル)
コンピューティング: EC2 C7i のテルアビブ提供、C8i のストックホルム提供
データベース: RDS for MariaDB 12.3 プレビュー、MySQL/MariaDB マイナーバージョン対応
ゲーム/コスト: Amazon GameLift Servers のネットワーク帯域無料化
Amazon RDS for MariaDB now supports MariaDB 12.3 in the Amazon RDS Database Preview Environment, allowing you to evaluate the latest Long-Term Support Release on Amazon RDS for MariaDB. This preview environment provides a sandbox where you can test applications and explore new MariaDB 12.3 capabilities before they become generally available.
MariaDB 12.3 includes Oracle TO_DATE() function compatibility, a SQL Standard IS JSON predicate for native JSON validation, and a basic XML data type. It adds support for cursors on prepared statements and allows UPDATE/DELETE operations to read from Common Table Expressions. The query optimizer now handles reorderable LEFT JOIN statements and ordered scans over RANGE partitions more efficiently. Please refer to the MariaDB 12.3 release notes 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 created in the preview environment can only be used to create or restore database instances within the preview environment. For pricing information, see Amazon RDS for MariaDB pricing. For further information, see Working with the Database Preview Environment.
Amazon Relational Database Service (Amazon RDS) for MySQL now supports new Amazon RDS Extended Support minor version 5.7.44-RDS.20260521. We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of MySQL. Learn more about upgrading your database instances, including minor and major version upgrades, in the Amazon RDS User Guide.
Amazon RDS Extended Support provides you more time, up to three years, to upgrade to a new major version to help you meet your business requirements. During Extended Support, Amazon RDS will provide critical security and bug fixes for your MySQL databases on Aurora and RDS after the community ends support for a major version. You can run your MySQL databases on Amazon RDS with Extended Support for up to three years beyond a major version’s end of standard support date. Learn more about Extended Support in the Amazon RDS User Guide and the Pricing FAQs.
Amazon RDS for MySQL makes it simple to set up, operate, and scale MySQL deployments in the cloud. See Amazon RDS for MySQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.
Amazon Relational Database Service (Amazon RDS) for MariaDB now supports community MariaDB minor versions 10.6.27, 10.11.18, 11.4.12, and 11.8.8. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of MariaDB, and to benefit from the bug fixes, performance improvements, and new functionality added by the MariaDB community.
You can leverage automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also leverage Amazon RDS Managed Blue/Green deployments for safer, simpler, and faster updates to your MariaDB instances. Learn more about upgrading your database instances, including automatic minor version upgrades and Blue/Green Deployments, in the Amazon RDS User Guide.
Amazon RDS for MariaDB makes it straightforward to set up, operate, and scale MariaDB deployments in the cloud. Learn more about pricing details and regional availability at Amazon RDS for MariaDB. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.
Starting today, Amazon GameLift Servers provides network bandwidth in and out of AWS at no additional charge for all instance types from generation 6 and later, including On-Demand and Spot, with no commitment required. You now pay only for your Amazon GameLift Servers instance hours; all network bandwidth is free.
Multiplayer game servers generate continuous network traffic to connected players, making bandwidth one of the most unpredictable cost components for game studio customers. With free network bandwidth included, Amazon GameLift Servers eliminates this cost, giving you the simplicity of bare-metal hosting with the global reach of AWS.
Free network bandwidth applies with no enrollment, pricing agreement, or configuration change required. Existing customers on eligible fleets receive the benefit immediately. It is now available in all Amazon GameLift Servers supported regions, except China.
To learn more, visit the Amazon GameLift Servers documentation or pricing page.
Today, Amazon Web Services announces the general availability of Amazon CloudWatch Metrics Centralization, which enables you to replicate CloudWatch metrics cross-account and cross-region into a single destination account.
Enterprise teams with complex multi-account, multi-region deployments often need a unified view of their operational health across their entire infrastructure. CloudWatch metrics centralization solves this by letting you define centralization rules through AWS Organizations that automatically replicate metrics from source accounts and regions into a centralized destination account. Central teams gain full ownership of the data for querying, alarming, compliance, and governance. Centralized metrics work with both CloudWatch and OpenTelemetry metrics, and are fully compatible with Metrics Insights, dashboards, alarms, Metric Math, anomaly detection, Metric Streams, and PromQL.
CloudWatch Metrics Centralization is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), and South America (São Paulo).
To learn more, see CloudWatch Metrics Centralization in the Amazon CloudWatch User Guide.
Today, Amazon Web Services announces the general availability of Amazon CloudWatch Query Studio, a unified querying and visualization experience that enables you to explore metrics from a single interface within the CloudWatch console.
With Query Studio, a team operating services across multiple AWS accounts and regions can use PromQL or Metrics Insights to query OpenTelemetry and AWS vended metrics from a single workspace. Per-query cross-account and cross-region selectors make it easy to correlate latency and error rates across their entire fleet. They can build queries visually with guided builders for PromQL and Metrics Insights (SQL), then choose from visualization types including line, bar, scatter plot, heatmap, histogram, pie, gauge, and number widgets with dual y-axis configuration and series overrides. Query Studio also integrates with CloudWatch dashboards, supports Grafana imports, and provides keyboard shortcuts for running queries.
Query Studio is available in all commercial AWS regions, except Middle East (UAE), Middle East (Bahrain) and Israel (Tel Aviv). For more information about regional availability, see the AWS Region table. To learn more, see Query Studio in the Amazon Cloudwatch User Guide.
Today, AWS WAF announced AI traffic monetization, a new Bot Control capability that lets you price, meter, and collect payment from AI bots and agents accessing your content and APIs. As AI agents increasingly support autonomous payments for the content and APIs they consume, AWS WAF now lets content owners and publishers set a price for that access, accept payment through third-party providers, and grant scoped access directly at the edge.
When an AI bot or agent requests a protected resource like an article, a data feed, or a licensed archive, AWS WAF returns a machine-readable HTTP 402 Payment Required response using the x402 open protocol for machine-to-machine payments. The response contains your prices to access the content, accepted payment methods, and license terms. The agent presents proof of payment, AWS WAF verifies it at the edge, issues a scoped access token, and serves the response within a single request cycle. With AWS WAF AI traffic monetization, you can configure pricing through the AWS WAF console, define AI bot or agent policies based on verification status (including Web Bot Auth signatures), and receive payouts in stablecoins to your preferred wallet. AWS WAF’s integration with payment settlement and verification flows are provided by Coinbase’s x402 Facilitator. Integration with Stripe for direct account payments and Machine Payments Protocol (MPP) support is coming soon.
Publishers can apply differentiated pricing based on agent identity and intent, allow verified AI search crawlers at one price while charging a different price to unverified agents or training crawlers, and validate end-to-end configuration in test mode before going live. Revenue analytics are available directly in the AWS WAF console alongside the AI traffic analysis dashboard, giving publishers a unified view of agent traffic and the revenue it generates.
Publishers receive payments directly from agents and manage disbursement through their chosen payment provider. AI traffic monetization is available to AWS WAF customers at no additional charge. Standard AWS WAF charges apply. Refer to AWS WAF pricing for details.
This capability is available in all edge locations where AWS WAF Web ACLs are associated with Amazon CloudFront distributions. To get started, visit the AWS WAF console or explore the AWS WAF Developer Guide.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7i instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in the Israel (Tel Aviv) Region. C7i instances are supported by custom Intel processors, available only on AWS.
C7i instances deliver up to 15% better price-performance versus C6i instances and are a great choice for all compute-intensive workloads, such as batch processing, distributed analytics, ad-serving, and video encoding. C7i instances offer larger instance sizes, up to 48xlarge, and two bare metal sizes (metal-24xl, metal-48xl). These bare-metal sizes support built-in Intel accelerators: Data Streaming Accelerator, In-Memory Analytics Accelerator, and QuickAssist Technology that are used to facilitate efficient offload and acceleration of data operations and optimize performance for workloads.
C7i instances support new Intel Advanced Matrix Extensions (AMX) that accelerate matrix multiplication operations for applications such as CPU-based ML. Customers can attach up to 128 EBS volumes to a C7i instance vs. up to 28 EBS volumes to a C6i instance. This allows processing of larger amounts of data, scale workloads, and improved performance over C6i instances.
To learn more, visit Amazon EC2 C7i Instances. To get started, see the AWS Management Console.
Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C8i instances are available in the Europe (Stockholm) 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. These C8i 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% higher performance than C7i instances, with even higher gains for specific workloads. The C8i are up to 60% faster for NGINX web applications, up to 40% faster for AI deep learning recommendation models, and 35% faster for Memcached stores compared to C7i and C7i-flex.
C8i instances are a great choice for all memory-intensive workloads, especially for workloads that need the largest instance sizes or continuous high CPU usage. C8i 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. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information about the new C8i instances visit the AWS News blog.
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In this post, we walk through the legacy architecture challenges, the stateless streaming solution, key implementation patterns, and performance results—a pattern you can apply if you’re building high-traffic APIs that aggregate data from multiple backend sources.
In this post, you'll build a competitive research agent that demonstrates this pattern end to end. This walkthrough targets developers building multi-step AI workflows who need isolated execution environments for their agents. In Part 2 of the notebook, you can deploy this same agent to Bedrock AgentCore Runtime using the AgentCore CLI, so it runs as a managed, session-isolated service.