AWS News - 2026-08-18

AWS Console-to-Code now supports 26 additional AWS services and introduces cross-region and cross-browser-tab action recording. This expansion grows total service coverage from 6 to 32 supported services, helping developers, DevOps engineers, and cloud architects more easily convert manual console workflows into repeatable, production-ready infrastructure as code (IaC).

​Console-to-Code also introduces cross-region and cross-browser-tab action recording. Previously, switching regions or working across browser tabs would reset or fragment recorded action lists. Actions are now consolidated into a single unified list, enabling customers to capture and automate complex, multi-region infrastructure deployments without losing context.

​​​Starting today, customers in all commercial AWS Regions can use Console-to-Code with all 32 supported services and the new cross-region recording capability.​

To learn more about getting started with AWS Console-to-Code, and review the list of services supported, visit the Amazon Q Developer Console-to-Code documentation.

Amazon OpenSearch Service now extends automatic semantic enrichment to VPC-enabled domains, allowing customers with private network configurations to leverage AI-powered semantic search without exposing their domains to the public internet.

 
Automatic semantic enrichment transforms traditional keyword-only search into context-aware retrieval by understanding the meaning behind queries. For example, a search for "lightweight laptop for travel" returns results about "ultrabooks" and "portable notebooks under 3 lbs" even when these exact terms aren't in the query. The feature handles all semantic processing automatically, eliminating the need to self-manage machine learning models and integration overhead. Previously, automatic semantic enrichment was available only on domains that are not VPC-enabled. This capability is now supported within VPCs (Virtual Private Clouds), enabling customers with stricter network security requirements to improve search relevance while maintaining their existing security posture. No changes to existing VPC configurations are required. To learn more about automatic semantic enrichment, see our documentation.

 
Automatic semantic enrichment for VPC domains is available across 11 Regions globally: US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Mumbai, Singapore, Sydney, Tokyo), and Europe (Frankfurt, Ireland, Spain, Stockholm). To get started, on your VPC-enabled OpenSearch Service domain running OpenSearch version 2.19 or later, create an index with automatic semantic enrichment fields configured. Note that you may need to update your domain to the latest service software version, see updating service software for more information. 

Amazon Quick announces the general availability of Microsoft 365 extensions for Excel, PowerPoint, Word, and Outlook. These extensions enable Quick to perform tasks directly within users' M365 environments, using AI to handle complex local tasks such as redlining documents, building financial models, creating presentation-ready decks, and managing Outlook inboxes.

The Excel extension helps with complex spreadsheet analysis, creating pivot tables and charts, and importing and cleaning data. The PowerPoint extension helps you create and refine presentations from Quick data using organization-defined templates. The Word extension generates formatted documents with Word primitives, makes sweeping edits with track changes enabled, and participates as a reviewer in comments. The Outlook extension performs inbox and calendaring tasks such as prioritizing emails, organizing your inbox, scheduling meetings, and drafting replies using your Quick data and entire inbox context.

These extensions transform daily work across teams. Finance teams can build complex models by describing what they need. Sales teams can draft proposals that automatically pull from CRM data. Marketing teams can create branded presentations without manual formatting. Legal teams can streamline contract reviews. Operations teams can manage email workflows and schedule meetings intelligently, and IT teams can automate routine data analysis that previously required manual effort.

Amazon Quick Microsoft 365 extensions are available in US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), Europe (Ireland), Asia Pacific (Tokyo), and Europe (Frankfurt). To learn more, see Amazon Quick for Microsoft 365: Agentic AI where you work, and download extensions on the Quick download page.

Amazon Connect Customer dashboards now support reporting on routing steps and agent proficiencies enabling supervisors to monitor and optimize how contacts are matched to agents based on agent proficiencies. Managers can filter agents by their assigned proficiencies, group metrics by routing steps, and track new metrics including number of contacts queued in a routing step. For example, a supervisor notices a spike in queued contacts at a routing step requiring highly skilled agents, then relaxes the routing criteria to expand the agent pool and reduce wait times.

Routing steps and agent proficiencies reporting on analytics dashboards is available in all AWS commercial and AWS GovCloud (US-West) regions where Amazon Connect Customer is offered. To learn more about Amazon Connect Customer analytics dashboards, see the Amazon Connect Customer Administrator Guide. To learn more about Amazon Connect Customer, the AWS cloud-based contact center, please visit the Amazon Connect Customer website.

You can now easily configure custom domain names on Amazon MSK Provisioned clusters, on either ZooKeeper or KRaft mode for metadata management. This capability helps client applications maintain the same connection endpoints, simplifying cluster migrations, disaster recovery failovers, and scaling operations without reconfiguration.

Previously, customers configured custom domain names manually on each broker. Additionally, on KRaft-based clusters, customers could not configure custom domain names. With this launch, you can now easily define a custom domain once at the cluster level, and Amazon MSK automatically applies it to every broker in the cluster, eliminating the need to configure each broker individually. The configuration persists through scaling operations and works identically on both ZooKeeper and KRaft-based clusters. This is particularly useful for customers who route traffic through Network Load Balancers, require persistent endpoints across cluster operations, or must adhere to organizational naming conventions for security and compliance.

You can configure custom domain names on all new and existing MSK Provisioned clusters, in all AWS Regions where Amazon MSK Provisioned is available, at no additional cost. To learn more, see the Amazon MSK Developer Guide.

Amazon EC2 Auto Scaling now supports batch instance termination in a single API call. You can now pass up to 100 instance IDs to the TerminateInstanceInAutoScalingGroup API to terminate them as a batch, reducing the number of API calls needed to scale down your Auto Scaling groups.

Batch termination is designed for workloads that need to rapidly scale down, such as AI/ML training jobs, container orchestrators, or event-driven architectures that spin up large fleets temporarily. All instances in a batch are validated atomically before termination begins, and existing Auto Scaling behaviors such as lifecycle hooks and load balancer connection draining are preserved for each instance in the batch.

This feature is available in all AWS Regions at no additional cost.

To learn more, visit Amazon EC2 Auto Scaling User Guide and Amazon EC2 Auto Scaling API Reference Guide.

Amazon Elastic Container Registry (Amazon ECR) has increased the maximum number of replication rules per registry from 10 to 25.

Previously, customers with complex multi-region or multi-account architectures were constrained to 10 replication rules per registry, requiring them to consolidate replication configurations to work within that constraint. With this update, customers can define up to 25 replication rules per registry, enabling more precise replication strategies for use cases like distributing images across many regions for low-latency pulls, or replicating to multiple production and staging accounts.

This service limit increase is available in all AWS Regions where Amazon ECR is supported. To learn more, visit the Amazon ECR product page and refer to the Amazon ECR User Guide. 

Amazon S3 Metadata and annotations are now available in AWS GovCloud (US-East) and AWS GovCloud (US-West) Regions, giving you the easiest and fastest way to discover, understand, and enrich your S3 data. S3 Metadata automatically captures system-defined details like object size and source, and stores them in Amazon S3 Tables, optimized for near real-time tabular queries that simplify business analytics and real-time inference applications.

Annotations extend S3 Metadata so you can attach rich business context directly to your objects in JSON, XML, or YAML, with up to 1 GB per object. This gives your AI agents and analytics tools the context they need to find and use the right data without building or maintaining separate metadata systems. Annotations share the same durability and consistency properties as the object, move with the object during copy and replication operations, and are removed when the object is deleted. This makes it easy to keep context current as your data evolves.

Annotations are available in all AWS Regions and AWS GovCloud (US) Regions. For a full list of AWS Regions where Amazon S3 Metadata is available, including the annotation table, see the S3 Metadata AWS Regions. To learn more, visit the product page, documentation, and the Amazon S3 pricing page.

AWS announces availability of nested virtualization for Amazon WorkSpaces Personal and Amazon WorkSpaces Core Managed Bundles. With nested virtualization enabled, developers can run Docker Desktop, WSL2, and other hypervisor-dependent tools directly on their Windows WorkSpaces, and KVM-based workloads, Android emulators, and nested containers on their Linux WorkSpaces — without needing separate physical hardware or workaround environments.

Nested virtualization is supported on license-included (public and custom) bundles, Bring Your Own License (BYOL) bundles, and Bring Your Own Protocol (BYOP) bundles running Windows Server 2019, Windows Server 2022, Windows Server 2025, Windows 11, Ubuntu 22.04, Ubuntu 24.04, Red Hat Enterprise Linux 8, Red Hat Enterprise Linux 9, Rocky 8, or Rocky 9 with DCV protocol. Power (4 vCPU) or higher is recommended. Nested virtualization is not supported on GPU bundles, the PCoIP protocol, or Amazon WorkSpaces based on Windows Server 2016, Windows 10, and Amazon Linux 2. Administrators can enable or disable nested virtualization at the individual workspace level through the console, API, or CLI.

You can get started by enabling nested virtualization on your WorkSpaces through the console or CLI. For more information, visit the Amazon WorkSpaces documentation on Nested Virtualization. Nested virtualization is available in all AWS Regions where Amazon WorkSpaces is available, excluding China (Ningxia) Region and Israel (Tel Aviv) Region. For pricing information, visit Amazon WorkSpaces pricing page. 

Last week, the OpenSearch and Valkey teams visited Seoul to meet open source developers and contributors in the Open Source Summit Korea 2026 and MCP DevSummit Seoul 2026. At the four-day event, community leaders and users of open source projects and emerging agent AI gathered to share knowledge, collaborate on solutions, and push the projects […]

Each location will be a permanent community space to offer free workshops, networking events, pitch nights, content creation spaces, collaboration/co-working areas, and event hosting for developers, students, or tech professionals who want to walk through the doors.

AWS Certificate Manager (ACM) は、CA/B フォーラムによる業界全体での E メールベースのドメイン検証の廃止に合わせ、2027 年 9 月 30 日までに E メール検証済みパブリック証明書のサポートを終了します。本記事では、変更のタイムライン、コンソールや AWS CLI を使用した対象証明書の特定方法、証明書の ARN を変えずに DNS 検証へそのまま移行できる手順を紹介します。

Amazon Bedrock は、Anthropic や OpenAI をはじめとする主要モデルからオープンウ […]

本記事は 2026 年 6 月 25 日から 26 日に幕張メッセで開催された AWS Summit Japan 2026 の開催報告です。AWS for Industries Zone に出展した株式会社 SUMCO のブース展示 「Amazon Redshift × 生成 AI で挑む 半導体ウェーハメーカーの DX」 の内容を、SUMCO と AWS が共同で振り返ります。

Amazon Web Services (AWS) is gradually introducing updates to the AWS Sign-In and sign-up experience to a limited number of customers. We’re sharing these changes so you will know what to expect as we gradually make the updated experience available to more customers. These updates include new options for creating and accessing AWS accounts. To […]

As AI agents move from chatbots to taking action, their reliability depends on the consistency of the data layer beneath them. This post examines how replication lag poisons an agent's context and shows how to match Amazon Aurora, Amazon DynamoDB, and Amazon Keyspaces replication models to each task's consistency requirements.

Give an autonomous agent a wallet and spending guardrails so it can pay for paywalled APIs, MCP servers, and web content. This post connects OpenClaw to Amazon Bedrock AgentCore payments and the x402 protocol, using the aws-agents-pay plugin to make bounded, human-approved testnet payments.

NVIDIA Nemotron 3.5 Lightning, an open model built for high-volume agentic workloads, is now available in Amazon SageMaker JumpStart. This post shows how to deploy the 30B Mixture-of-Experts model (3B active), which delivers up to 4x higher throughput and up to 30% faster task completion for always-on agents.