AWS News - 2026-07-25

Amazon Redshift announces the availability of All Upfront payment option for 3-year Serverless Reservations, providing up to 50% savings over on-demand rates. With All Upfront pricing, you pay for the full reservation term at the start and receive the maximum discount on your Amazon Redshift Serverless compute costs. This new payment option joins the existing 1-year No Upfront, 1-year All Upfront, and 3-year No Upfront options, giving you greater flexibility to optimize costs based on your financial preferences

Amazon Redshift Serverless allows you to run and scale analytics without having to provision and manage clusters. Serverless Reservations help you further optimize compute costs and improve cost predictability by committing to a specific number of Redshift Processing Units (RPUs). Managed at the AWS payer account level, Serverless Reservations can be shared between multiple AWS accounts, reducing compute costs across all Amazon Redshift Serverless workloads in your organization. Any usage exceeding the reserved RPU level is charged at standard on-demand rates.

This pricing option is available in all AWS commercial and AWS GovCloud (US) Regions where Amazon Redshift Serverless is available. You can purchase Serverless Reservations via the Amazon Redshift console or by invoking the Serverless Reservations API. To learn more, see the Amazon Redshift pricing page or the Amazon Redshift Management Guide.

Amazon Simple Email Service (SES) now offers a simplified console experience for sending emails over SMTP using Mail Manager. Mail Manager is a capability within SES for managing email flow, but configuring its resources individually to set up SMTP sending requires multiple steps. The new guided setup creates and configures these resources automatically, so developers can get started in just a few clicks.

The guided setup gives developers a working SMTP endpoint and downloadable credentials they can plug into any application or framework that supports SMTP. This is ideal for teams building applications that send email notifications, password resets, or transactional messages and need a fast path to a production-ready SMTP configuration.

This experience is available in all AWS Regions where Amazon SES is available.

To learn more, visit the Amazon SES console or refer to the documentation.

AWS Lambda now publishes logs for Lambda Managed Instances (LMI) capacity providers to Amazon CloudWatch Logs, giving you visibility into scaling activity and instance lifecycle operations. LMI enables you to run Lambda functions on Amazon EC2 instances while maintaining serverless operational simplicity. Capacity providers are resources that let you define compute resources that Lambda provisions on your behalf. With capacity provider logs, you can monitor, troubleshoot, and optimize these managed EC2 instances, helping you quickly diagnose provisioning issues and understand scaling behavior.

Customers use LMI to operate high-volume, predictable workloads with specialized compute configurations and achieve cost efficiency through EC2 pricing options like Savings Plans and Reserved Instances. With this launch, Lambda automatically generates logs for compute resources managed by capacity providers and delivers them to CloudWatch Logs. Lambda publishes structured JSON logs capturing instance lifecycle events like launches, terminations, and health checks. This structured format lets you identify failed operations and provisioning errors through CloudWatch Logs filtering, helping you resolve issues quickly and shorten debugging cycles.

The capacity provider logs are available in all AWS Commercial Regions where LMI is available. The logs are enabled by default for all capacity providers. You can view your capacity provider logs by visiting the Lambda console's capacity provider page. You can use the Lambda API, Lambda console, AWS CLI, AWS SAM, or AWS CloudFormation to change capacity provider log configuration. Standard Amazon CloudWatch Logs charges apply. To learn more, visit the AWS Lambda Managed Instances product page and documentation. 

Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale. On-demand streams automatically increase ingest capacity in response to rising data ingest usage. With On-demand Advantage mode, you can proactively manage stream capacity using warm throughput to prepare streams for sudden changes in data traffic. We are extending warm throughput with the ability to also scale down ingest capacity, giving you full control to scale your stream's write throughput up or down.

To scale down, simply set a lower warm throughput value on your on-demand stream. The stream adjusts to the requested capacity or the amount needed to support peak data ingest usage in the last hour, whichever is higher. This ensures your stream always retains sufficient capacity for current traffic while releasing excess capacity you no longer need. As a result, you get optimal stream-processing performance and cost efficiency. 

Warm throughput scale-down is available at no additional cost for all on-demand streams with On-demand Advantage mode enabled.  For more information about On-demand Advantage, see Choose the right mode to stream in in the Amazon Kinesis Data Streams Developer Guide. To get started with the feature, see Update a stream. For pricing details, see Amazon Kinesis Data Streams pricing.

The feature is available in all AWS Regions where Amazon Kinesis Data Streams On-demand Advantage is supported. 

 

Starting today, customers can create Host Resource Groups (HRGs) for EC2 Dedicated Hosts without the previously required step of creating Self-Managed Licenses (SMLs) and associating AMIs through AWS License Manager.

This flexibility is particularly valuable for EC2 Mac Instance customers and for customers who need Dedicated Hosts for hardware-level isolation rather than Bring Your Own License (BYOL). Customers with BYOL workloads can continue to create HRGs with SMLs to ensure that only instances from associated AMIs can be launched on the host and track host-level license consumption.

To create an HRG without SML, uncheck the "Restrict to AMIs associated with self-managed license" option when creating a Host Resource Group in the EC2 Console, or set instance-launch-option to license-configuration-required via the AWS CLI.

This feature is available in all AWS Regions where Host Resource Groups are supported. To learn more, visit the Host Resource Group User Guide

Amazon Managed Workflows for Apache Airflow (MWAA) now supports Apache Airflow version 2.11.2. Amazon MWAA is a managed service that runs Apache Airflow at scale without the operational overhead of managing the underlying infrastructure. Apache Airflow 2.11.2 is a maintenance release that includes security improvements, bug fixes, and dependency upgrades.

This release upgrades core dependencies with security patches and stability improvements to the Airflow webserver and task execution layers. It also includes fixes to task lifecycle management for queued tasks, enhanced secrets masking in logs, UI corrections in the Task Instances list view, and provider package updates for S3 and CloudWatch log delivery.

You can create a new Apache Airflow 2.11.2 environment on Amazon MWAA or upgrade your existing environments with a few clicks in the AWS Management Console in all currently available Amazon MWAA regions. To learn more, visit the Amazon MWAA documentation, review the Apache Airflow 2.11.2 release notes, and explore the list of available Airflow versions on MWAA.

Agents using Microsoft Azure Virtual Desktop (AVD) or Windows 365 Cloud PC can now take calls directly from their virtual desktop session with audio optimization enabled. To get started, IT administrators need to complete a one-time setup for their virtual desktop environment. Once configured, media is redirected from the virtual desktop to the agent's local device, improving audio quality.

Agents simply log into their Azure Virtual Desktop or Windows 365 Cloud PC session and start accepting calls using the Amazon Connect Customer agent workspace or a custom agent interface built with the Amazon Connect Customer open-source JavaScript libraries. This support is in addition to existing audio optimization for Amazon WorkSpaces, Citrix cloud desktops, and Omnissa cloud desktops.

This feature is available in all AWS Regions where Amazon Connect Customer is offered, except AWS GovCloud (US-West). To learn more, see the Amazon Connect Customer Administrator Guide.

Kiro の IDE / CLI / Web すべてで Claude Opus 5 が本日から利用可能になりました。Opus 4.8 からの意味のある進化として、時間のかかる作業に強くなり、並列エージェントの協調が改善され、長いセッションにおけるコストとレイテンシをより細かく扱える新しいコントロールが備わっています。

Kiro で初めて OpenAI のモデルが利用可能になりました。あわせてこのローンチは Kiro の 1 周年でもあります。2025 年 7 月 14 日のパブリックプレビュー以降、Kiro は仕様駆動の IDE から IDE / CLI / Web にまたがるエージェンティック開発プラットフォームへ成長してきました。本日（2026 年 7 月 14 日）より GPT-5.6 の Sol / Terra / Luna が Kiro の IDE / CLI / Web が利用可能になりました。性能とコストのカーブ上でそれぞれ異なるポイントにチューニングされた 3 段構成です。

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OpenAI GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock. Learn how to select a model, run inference through the Responses API on the bedrock-mantle endpoint, reduce cost with prompt caching, connect the OpenAI Codex coding agent, and plan for quotas and scaling.

Learn the architecture and design decisions behind an explainable next-best-product recommendation system for banking, built with Amazon SageMaker AI and PyTorch. A multi-tower neural network with learned attention delivers accurate, per-customer recommendations while providing the explainability that banking regulators require.

This post covers Opus 5’s improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock. See the documentation for Claude Platform on AWS.