AWS News - 2026-09-18

2026-09-18
最終更新: 2026-09-19 07:59:02 JST

AI による概要

33 記事

この日は 33 件と多く、AgentCore Runtime の刷新、Kiro への Claude Fable 5.1 追加、新しい EC2 インスタンス、そして欧州ソブリンクラウドでのオープンウェイトモデル提供が目立ちました。Amazon Bedrock AgentCore では次世代の AgentCore Runtime が利用可能になり、サーバーレスの microVM コンピュートにおいてメモリを弾力的に管理できるようになりました。Kiro では Claude Fable 5.1 がエンタープライズ顧客向けに利用可能になり、長時間でコンテキスト量の多いエージェントセッションでも、症状を並べるのではなくコードの根本原因まで追跡し、複雑なタスクの全体にわたってコンテキストと意図を保持するとされています。コンピューティングでは、カスタムの第 6 世代 Intel Xeon 6 (Granite Rapids) を搭載した低価格のバースト可能な Amazon EC2 T8i インスタンスが一般提供となり、AWS Elastic Beanstalk の Cluster Mode は、コンテナイメージやソースコードを渡すだけで背後のコンピュートを意識せずにアプリケーションを実行できる形で解説されています。AWS Batch は CancelJobs・TerminateJobs・TerminateServiceJobs API により 1 回の呼び出しで最大 50 ジョブをまとめてキャンセル・終了できるようになり、AWS HealthOmics は IAM セッションポリシーに対応して実行ごとの権限を個別のロール作成なしに制限でき、AWS Transfer Family は NLB の背後に置いた VPC ホスト型エンドポイントの SFTP サーバーで Proxy Protocol v2 によりクライアントの送信元 IP を保持できるようになりました。ネットワークでは AWS PrivateLink に新しい種類の VPC エンドポイントである「トンネル」エンドポイントが加わり、別の VPC やアカウントにあるネットワークセグメントへ VPC エンドポイント経由でプライベートかつ安全にアクセスできるようになっています。AWS European Sovereign Cloud では、EU 域内にデータを保ったまま Amazon Bedrock でオープンウェイトモデルを使った生成 AI ワークロードを実行できるようになっています。機械学習ブログでは、EKS 向けの GPU 認識型ルーティングアドオン Amazon SageMaker HyperPod Inference Gateway、Amazon Quick 上で Microsoft Entra ID のグループ・クレームベースの JWT を使って MCP ツールに多層防御の認可をかける方法、約 400 人の従業員に安全なセルフサービス AI エージェントを提供した MRH Trowe の事例、Wood Mackenzie が AgentCore 上に構築した共有エージェント基盤 APEX、Bedrock Knowledge Bases のベクトルストア選定の比較、合成データで産業安全 AI を強化するパイプライン、GitHub / GitLab の Git メトリクスを Quick Sight で可視化するサーバーレス構成、AI 面接や評価を備えた Amazon Connect Talent が紹介されました。アーキテクチャブログでは、DHI Group によるハッカソンを通じた生成 AI の本番化、マルチ病院ネットワーク向けのクラウドネイティブ PACS、Equinix が EKS 上の共有サービスアーキテクチャで運用負荷を削減した事例、CSIRO のゲノムバリアント検索基盤 sBeacon が取り上げられました。コンピュートブログでは、Local Zones と Outposts ラックを使った災害復旧計画、規制対象ワークロードの配置、EC2 Auto Scaling のマルチモーダルオートスケーリングが解説されています。AWS ジャパンブログでは、NTT ドコモの AI-DLC 実践 (全 2 回)、レスターの Bedrock による情報プラットフォーム、AgentCore と Strands を基盤に SOP を実行時に解釈して ERP の例外を自律解決する「エージェント型 SOP」、SAP Commerce Cloud と SAP Cloud ERP Private on AWS の統合、RDS for SQL Server の Bring Your Own Media (BYOM) によるライセンスモビリティと License Included からの変換手順が公開されました。セキュリティ速報では、AWS IoT Device SDK for Python における証明書のホスト名不一致の検証不備 (CVE-2026-92943) が Important として公開されています。

主要トピック
  • エージェント基盤: 次世代 AgentCore Runtime が利用可能に、サーバーレス microVM でメモリを弾力的に管理

  • 開発ツール: Kiro のエンタープライズ顧客向けに Claude Fable 5.1 が利用可能に

  • コンピューティング: 第 6 世代 Intel Xeon 6 搭載のバースト可能 EC2 T8i が GA、Elastic Beanstalk の Cluster Mode を解説

  • ジョブ管理: AWS Batch が 1 回の API 呼び出しで最大 50 ジョブを一括キャンセル・終了、Transfer Family が NLB 配下でも SFTP の送信元 IP を保持

  • ネットワーク: AWS PrivateLink にトンネルエンドポイントが登場、別 VPC / アカウントのネットワークセグメントへプライベートに接続

  • 権限制御: AWS HealthOmics が IAM セッションポリシーに対応し、実行単位で権限を制限可能に

  • ソブリンクラウド: AWS European Sovereign Cloud の Bedrock でオープンウェイトモデルを EU 域内データのまま実行可能に

  • 推論基盤: SageMaker HyperPod Inference Gateway が EKS 向けに GPU 認識型ルーティングを提供

  • エージェント事例: MRH Trowe が約 400 人向けに安全なセルフサービス AI エージェント、Wood Mackenzie が AgentCore 上に共有基盤 APEX を構築

  • アーキテクチャ: Local Zones / Outposts での災害復旧と規制対応、Equinix の EKS 共有サービス、CSIRO の sBeacon

  • 国内: NTT ドコモの AI-DLC 実践 (全 2 回)、ERP 例外処理のエージェント型 SOP、RDS for SQL Server の BYOM ライセンス

  • 脆弱性: AWS IoT Device SDK for Python で証明書のホスト名不一致の検証に不備 (CVE-2026-92943)

AI (Claude Opus 5) が生成 · 2026-09-20 08:10:07 JST

AWS What's New

Introducing Amazon EC2 T8i instances

AWS is announcing the general availability of new low-cost burstable Amazon EC2 T8i instances. These instances are powered by custom sixth generation Intel Xeon 6 processors, available exclusively on AWS, and built on the latest sixth generation AWS Nitro cards. T8i instances deliver up to 30% better price performance compared to previous generation T3 instances, and offer four sizes: nano, micro, small, and medium. These instances are designed for workloads requiring low to moderate CPU utilization, including data processing, login gateways, small databases, batch processing, event driven functions, CI/CD pipelines, microservices, and low traffic websites.  

T8i instances deliver up to 70% higher compute performance, 1.25x higher network bandwidth, and 2.4x higher EBS bandwidth compared to T3 instances. They use the same CPU credit system as T3 with Standard and Unlimited modes, so existing T3 customers can upgrade to T8i and immediately benefit from better price performance, enabling them to lower their TCO. For customers new to AWS or migrating from on-premises, T8i instances provide one of the most cost-effective entry points to run a variety of workloads.

T8i.micro and T8i.small are available under the AWS Free Tier. T8i instances are available in US East (N. Virginia, Ohio), US West (Oregon, N. California), Europe (Frankfurt, Ireland, London, Paris), Asia Pacific (Hyderabad, Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), and Canada (Central) regions. T8i instances are available to purchase via On-Demand instances, and Spot instances with Savings Plan option coming soon. To learn more, visit the Amazon EC2 T8i instances page.

AWS Batch now supports bulk job cancellation and termination

AWS Batch now supports bulk job cancellation and termination, enabling you to cancel or terminate up to 50 jobs with a single API call. The new CancelJobs, TerminateJobs, and TerminateServiceJobs APIs reduce the operational complexity of managing large-scale batch workloads, letting you act on groups of jobs at once and receive per-job results in a single response. Additionally, ListJobs now returns isCancelled and isTerminated fields, and ListServiceJobs returns isTerminated, making it easier to track the lifecycle state of your jobs.

To get started, call CancelJobs for jobs in SUBMITTED, PENDING, or RUNNABLE states, or TerminateJobs and TerminateServiceJobs for jobs in any state, including STARTING and RUNNING. All three APIs accept up to 50 job IDs and work with individual and array jobs. You can access them through the AWS CLI or AWS SDKs.

Bulk job cancellation and termination is available in all AWS Regions where AWS Batch is available. For more information, see CancelJobs, TerminateJobs, and TerminateServiceJobs pages in the AWS Batch API Reference Guide.

AWS HealthOmics now supports IAM session policies

AWS HealthOmics now supports IAM session policies, enabling you to restrict permissions for individual runs without creating and managing multiple IAM roles. Until now, there was no way to dynamically scope down permissions for a single run, requiring you to create a separate IAM role for each tenant or run. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs with fully managed bioinformatics workflows.

An IAM session policy is an inline policy that limits the maximum permissions of a run without modifying the underlying service role. Your effective permissions during a run are the intersection of permissions allowed by both the underlying identity-based policy and the temporary session policy. For example, if you operate a multi-tenant application, you can pass a session policy that limits a run's access to only that tenant's Amazon S3 buckets, without provisioning a dedicated IAM role for that tenant. You can also use IAM session policies to grant temporary access to specific Amazon S3 objects for a single run, and isolate access to sensitive resources on a per-run basis.

IAM session policy support is available in all AWS Regions where AWS HealthOmics is available: US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), and Asia Pacific (Tokyo, Singapore, Seoul). To learn how to configure IAM session policies for your runs, visit the Permissions section of the  AWS HealthOmics User Guide. To learn more about the service, visit  AWS HealthOmics.

AWS Transfer Family now supports source IP preservation for SFTP servers behind a Network Load Balancer (NLB)

AWS Transfer Family now preserves the client's source IP address using Proxy Protocol v2 (PPv2) when you place a Network Load Balancer (NLB) in front of your SFTP server that uses a VPC-hosted endpoint. You can now retain visibility of the client's source IP for IP-based auditing, access controls, and compliance when you use your own NLB.

Previously, an NLB replaced the client's source IP with its own private IP address, so your Transfer Family logs and events recorded the NLB's address instead of the client's source IP. Because the NLB's private IP was the address presented to your custom identity provider during authentication, you couldn't authorize users based on their true source IP. With this launch, you can enable source IP preservation on your SFTP server so that the client's source IP is preserved. The preserved source IP is recorded in your logs and events and presented to your custom identity provider during authentication. You can enable the feature on each Transfer Family server individually through the console, CLI, or API.

Source IP preservation for SFTP servers is available in all AWS Regions where AWS Transfer Family is available. To get started, visit the AWS Transfer Family console or use the AWS CLI/SDK. To learn more, visit the Transfer Family User Guide.

AWS PrivateLink announces Tunnel Endpoints to access network segments

詳細を表示

AWS PrivateLink customers can now use VPC endpoint to privately and securely access network segments in another VPC/account. They can use a ‘tunnel’ endpoint, a new type of VPC endpoint, to tunnel into the network segment and access resources located within it.

AWS PrivateLink is a highly available and scalable technology that enables private access across VPC and account boundaries to load balanced services, appliances, and resources such as databases and domains. Prior to this launch, customers who wanted to share their resources with another party such as an external vendor had to do it one at a time by creating a Resource Configuration for every resource. Now, customers can create a Resource Configuration to represent a CIDR range in their network, and share it with a vendor via AWS Resource Access Manager (RAM). The vendor can then create a tunnel endpoint and use GENEVE encapsulation to tunnel through it into the customer’s VPC to access resources located in CIDR range specified by the customer. There is an hourly charge for the tunnel endpoint and a per-GB charge for data processed through it. Please refer to the pricing page for AWS PrivateLink.  

The capability is available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Africa (Cape Town), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Jakarta), Asia Pacific (Malaysia), Asia Pacific (Melbourne), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Canada West (Calgary), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Milan), Europe (Paris), Europe (Spain), Europe (Stockholm), Europe (Zurich), Mexico (Central), South America (São Paulo).

To learn more about this capability and get started, please refer to the AWS PrivateLink documentation.

The new AgentCore Runtime is now available in Amazon Bedrock AgentCore

詳細を表示

Today, AWS announces the availability of the next generation of AgentCore Runtime, the serverless microVM compute within Amazon Bedrock AgentCore. The new Runtime delivers elastic memory management that reclaims unused memory throughout the session so you pay for actual usage rather than the peak, and consistent cold start times regardless of container image size or concurrency. You get the serverless model you already rely on: no pre-provisioning, scale to zero, hardware-enforced session isolation, and pay only for what you use - now with lower costs and faster starts.

With the new Runtime, each session starts with a small, efficient memory profile. Additional memory is allocated on demand as the workload needs it, and memory that is no longer actively used is reclaimed rather than held until the session ends. For cold starts, the new Runtime prepares the agent environment once and snapshots it. Every new instance restores from that snapshot instead of repeating the full startup sequence, keeping start times consistent regardless of image size. In testing, the new Runtime delivered a P75 cold start of 1.9 to 2.0 seconds for container images from 200 MB to 2 GB, compared to 5.4–30 seconds with V1.

The new AgentCore Runtime is available in the following regions: us-east-1, us-east-2, us-west-2, eu-west-1, and ap-northeast-1. To get started, set platformVersion to V2 when creating or updating a runtime.

To learn more, visit the AgentCore Runtime documentation or the AWS News Blog. For pricing details, visit AgentCore pricing.

AWS News Blog

AWS Elastic Beanstalk introduces Cluster Mode

Run an application on AWS Elastic Beanstalk Cluster Mode without provisioning or operating the compute underneath it. You provide a container image or source code; Elastic Beanstalk with service-operated compute creates and operates the environment that runs it.

New low-cost burstable Amazon EC2 T8i instances are generally available

AWS introduces new low-cost burstable Amazon EC2 T8i instances powered by custom sixth generation Intel Xeon Scalable Processors (Granite Rapids), available only on AWS. T8i instances are among the lowest-cost EC2 instances and deliver up to 30% better price performance over previous generation T3 instances.

AWS Japan Blog

Claude Fable 5.1 が Kiro で利用可能になりました

Claude Fable 5.1 が本日より Kiro のエンタープライズ顧客向けに利用可能になりました。長時間にわたるコンテキスト量の多いエージェントセッションにおいて、Fable 5.1 は新しい基準を打ち立てます。症状を並べるのではなくコードの根本原因まで問題を追跡し、複雑なタスクの全体を通してコンテキストと意図を保持します。

NTTドコモ モバイルイノベーションテック部における AI-DLC 実践(第1回):フィジカルAI領域でのML開発への適用

※ この投稿はお客様に寄稿いただいた記事です。 本稿では、株式会社NTTドコモ(以下、ドコモ)モバイルイノベー […]

NTTドコモ モバイルイノベーションテック部における AI-DLC 実践(第2回):2チーム並行開発の実験結果と知見

※ この投稿はお客様に寄稿いただいた記事です。 本稿は、NTTドコモ モバイルイノベーションテック部(以下、M […]

【寄稿】株式会社レスター、Amazon Bedrock で顧客課題とグループの解決力をつなぐ情報プラットフォームを構築

はじめに 本記事は、株式会社レスター(以下、レスター)の加瀬 友基 氏による寄稿記事です。 レスターでは、各社 […]

ERP例外処理をAWSエージェント型標準作業手順書(SOP)で自動化

エンタープライズ ERP の例外対応は、SAP のスリーウェイマッチや RPA、従来型 ML でも解決しきれず、手作業に依存してきました。本稿では、Amazon Bedrock AgentCore と Strands を基盤に、ナレッジベースの SOP を実行時に解釈して SAP/非 SAP システム横断で例外を自律解決する「エージェント型 SOP」フレームワークを紹介します。EventBridge・Lambda・DynamoDB・Bedrock Knowledge Bases・SES を組み合わせ、ヒューマン・イン・ザ・ループと監査水準の証跡を備えたリファレンスアーキテクチャと技術的ベストプラクティスを解説します。あるグローバル製造業では 30 日超を要した PO 引当計上が数分に短縮されました。

SAP Commerce Cloud と SAP Cloud ERP Private on AWS の統合 – 実践的で実証済みのアプローチ

SAP Commerce(SAP Hybris)2205 のメインストリームメンテナンス終了を控え、多くの企業が SAP Commerce Cloud SaaS と AWS 上の SAP Cloud ERP Private の統合によるモダナイゼーションを進めています。本記事では、リージョン選択、レイテンシー最適化(Amazon CloudFront・SAP BTP Integration Suite の活用)、ネットワーキング(AWS Global Accelerator・Amazon Route 53)、セキュリティの 4 つの観点から、実証済みのアーキテクチャベストプラクティスを解説します。さらに、Buy with Prime や Amazon Multi-Channel Fulfillment(MCF)との統合による e コマース業務の拡張についても紹介します。

フルマネージドの Amazon RDS for SQL Server で Bring Your Own Media によるライセンスモビリティの実現

Amazon RDS for SQL Server の Bring Your Own Media (BYOM) は、既存の SQL Server インストールメディアと、すでに投資済みのライセンスを持ち込み、フルマネージドデータベースサービスである RDS for SQL Server 上で追加のライセンス費用なしに利用できます。本記事では、SQL Server のインストールメディアを Amazon Simple Storage Service (Amazon S3) にアップロードし、BYOM インスタンスを起動する方法を説明します。

RDS for SQL Server インスタンスを License Included から Bring Your Own Media (BYOM) へ変換

本記事では、RDS for SQL Server インスタンスを License Included から Bring Your Own Media (BYOM) へ変換するためのインストールメディアの準備、BYOM エンジンバージョンの作成、インプレースでのライセンスモデル変更というエンドツーエンドの変換プロセスを説明します。

AWS Security Blog

Run open weight models on Amazon Bedrock in AWS European Sovereign Cloud

European organizations can run AI workloads on Amazon Web Services (AWS) while keeping data within the European Union (EU) and meeting regulatory requirements. You can now run generative AI workloads on open weight models on Amazon Bedrock in the AWS European Sovereign Cloud. We’re excited to announce the general availability of the first open weight […]

AWS Security Bulletins

CVE-2026-92943 - Improper validation of certificate with host mismatch in AWS IoT Device SDK for Python

Bulletin ID: 2026-115-AWS
Scope: AWS
Content Type: Important (requires attention)
Publication Date: 09/17/2026 12:00 PM PDT

Description:

AWS IoT Device SDK for Python (AWSIoTPythonSDK) is an open source SDK that lets IoT devices and gateways connect to AWS IoT Core over MQTT. We identified CVE-2026-92943 in the MQTT client TLS connection layer, where the client did not validate that the server certificate matched the AWS IoT Core endpoint hostname. On Python 3.7 and later, an adversary-in-the-middle positioned on the network could present a certificate issued for an unrelated hostname by any certificate authority in the device trust store, impersonate the AWS IoT Core endpoint, read device telemetry, and inject arbitrary MQTT messages that the device processes as authentic. Both SDK default connection paths were affected: X.509 mutual authentication on port 8883 and WebSocket with SigV4 on port 443. The port 443 ALPN path was not affected.

Impacted versions: >=1.5.3 AND <=1.6.0 (on Python 3.7 and later)

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

AWS Architecture Blog

How DHI Group accelerates generative AI workloads from idea to production using hackathons

Learn how DHI Group partnered with AWS to move generative AI workloads from idea to production using a structured hackathon. This post covers the Hackathon Acceleration Package, the winning ClearanceJobs and AgileATS agentic architecture on Amazon Bedrock AgentCore, and the principles that make hackathons a repeatable path to production.

Building cloud-native PACS on AWS

A hybrid cloud architecture pattern for modernizing medical imaging on AWS. Learn how multi-hospital networks can centralize PACS archives, enable cross-facility interoperability, and use Amazon S3 storage tiers to manage cost and retention at scale.

How Equinix cut operational overhead with a shared services architecture on Amazon EKS

Equinix, the world's digital infrastructure company, built a shared services architecture on Amazon EKS to eliminate the operational sprawl of its self-managed Kubernetes environment. Learn how a multi-account North Star architecture centralized governance and shared services, delivering 4x faster deployments and 40% less operational overhead.

How CSIRO built scalable, cost-optimized genomic variant querying on AWS

Learn how researchers at CSIRO, Australia's national science agency, built Serverless Beacon (sBeacon), a scalable serverless solution for securely querying genomic variant data on AWS. sBeacon implements the GA4GH Beacon standard using Amazon S3, AWS Lambda, Amazon DynamoDB, and Amazon Athena to support production-scale clinical and research applications.

AWS Machine Learning Blog

Enhancing industrial safety AI with synthetic data on Amazon SageMaker AI

Learn how to build a synthetic data augmentation pipeline on Amazon SageMaker AI and Amazon Rekognition that generates photo-realistic, auto-labeled training images for industrial safety AI. This approach improved person detection by up to 160% without manual annotation or hazardous data collection near heavy machinery.

Implementing defense-in-depth authorization for MCP tools on Amazon Quick

Learn how to enforce defense-in-depth authorization for Model Context Protocol (MCP) tools on Amazon Quick. This walkthrough wires Microsoft Entra ID group and claims-based JWTs through an Amazon Bedrock AgentCore Gateway interceptor to apply per-user, per-tool role-based and attribute-based access control, with a server-side check and an immutable audit trail.

How MRH Trowe enabled secure self-service AI agents in financial services

Learn how MRH Trowe, one of Germany's leading commercial and industrial insurance brokers, gave about 400 employees secure, self-service access to AI agents in its first month of production - using Strands Agents, Amazon Bedrock AgentCore, and LibreChat to meet the security, data residency, and compliance requirements of the German financial sector.

A shared agentic platform for Wood Mackenzie, on Amazon Bedrock AgentCore

Wood Mackenzie built APEX, a shared agentic AI platform on Amazon Bedrock AgentCore so every team can ship production agents without rebuilding runtime, identity, observability, and guardrails from scratch. Learn why they chose AgentCore, how APEX Studio operates it, and where multi-agent systems go next.

A serverless, data-driven Git metrics dashboard using Amazon Quick Sight

Learn how to build a fully serverless pipeline that automatically collects Git metrics from GitHub and GitLab and visualizes them in interactive Amazon Quick Sight dashboards, giving engineering teams near-real-time delivery analytics at low cost.

Selecting a vector store for Amazon Bedrock Knowledge Bases

Choosing the right vector store for your Amazon Bedrock Knowledge Bases RAG application affects performance and cost. This post compares Amazon OpenSearch Service, Amazon Aurora PostgreSQL with pgvector, and Amazon S3 Vectors across three RAG use cases, with benchmarks and a practical selection framework.

Reduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent

Amazon Connect Talent is an AI hiring solution built for talent acquisition leaders managing scaled hiring. It delivers AI-led interviews, data-driven assessments, and consistent evaluation, helping recruiters identify strong candidates more efficiently while providing applicants with a flexible interview experience. Informed by decades of Amazon's hiring science, Amazon Connect Talent provides transparency for every assessment, interview, and candidate score, enabling recruiters to stay in control of final hiring decisions.

Introducing Amazon SageMaker HyperPod Inference Gateway

Amazon SageMaker HyperPod Inference Gateway is a Kubernetes-native, GPU-aware routing add-on for Amazon EKS. It uses real-time GPU signals to send each inference request to the best-suited pod, cutting first-token latency by up to 82% with no changes to your model servers or client applications.

AWS Compute Blog

Planning for disaster recovery using AWS Local Zones and AWS Outposts racks

Build highly available architectures that span two AWS Outposts racks, or an Outpost rack and an AWS Local Zone, without single points of failure. This post covers three disaster recovery approaches: DNS-based failover, active/active load balancing, and hybrid database replication, with the RTO/RPO trade-offs of each.

Deploying regulated workloads on AWS Local Zones and AWS Outposts

AWS Local Zones and AWS Outposts help you keep regulated workloads within specific geographic boundaries. This post presents a framework of technologies, including the AWS Nitro System, AWS Organizations SCPs with AWS Control Tower, and Amazon VPC Traffic Mirroring, to help you build auditable, secure architectures for data residency.

Multi-modal autoscaling with Amazon EC2 Auto Scaling: adding signals for faster, more reliable scaling

Multi-modal autoscaling with Amazon EC2 Auto Scaling combines infrastructure metrics like CPU with application-level signals, so a group scales on the demand its users create. In this post, we show you how to implement it, with code samples and results from a controlled test.