11/11/2026, 12:00:00 AM ~ 11/12/2026, 12:00:00 AM (UTC)
Recent Announcements
AWS Lambda MicroVMs now supports the x86 CPU architecture
AWS Lambda MicroVMs now supports the x86 CPU architecture, so you can run your existing x86 applications, tools, and software dependencies without recompiling or porting them. When you create a MicroVM image, you can now choose between x86 and Arm (AWS Graviton) to give each user or job an isolated MicroVM on the architecture your workload uses.\n Lambda MicroVMs is a serverless compute primitive that provides VM-level isolation, near-instant launch and resume, and state preservation for running user or AI-generated code, in applications such as AI coding assistants, CI/CD runners, interactive development environments, and vulnerability scanners. Today’s launch enables you to run x86-based workloads on Lambda MicroVMs as-is. For workloads that run on Arm, you can continue using AWS Graviton processors which is the default CPU architecture option.
To start building x86 workloads on Lambda MicroVMs, choose the x86 architecture when you create a MicroVM image from your Dockerfile, then launch MicroVMs from that image. You can use MicroVMs through the AWS Lambda console, AWS CloudFormation, AWS Cloud Development Kit, or with your preferred agentic development tools using the Agent Toolkit for AWS.
Support for the x86 CPU architecture is available in all AWS Regions where Lambda MicroVMs is available, except Asia Pacific (Hong Kong), Asia Pacific (Malaysia), Asia Pacific (Thailand), and Europe (Spain). To learn more, visit the AWS Lambda MicroVMs developer guide. For information on pricing, see Lambda MicroVMs pricing.
Amazon EKS Auto Mode now supports security groups for Pods
Amazon EKS Auto Mode now supports security groups for Pods, letting you apply dedicated Amazon EC2 security group rules to individual Pods. Different workloads on the same node can carry different security groups, giving your Pods network-level segmentation without creating separate node pools for each application.\n Security groups for Pods extends your existing AWS network controls to the Pod level, so your Pods can reach resources such as Amazon RDS and Amazon ElastiCache databases that authorize connections by security group under the same rules the rest of your VPC uses. You define which Pods receive which security groups with a SecurityGroupPolicy resource, and Pods not matched by a policy keep using their node’s security groups.
Security groups for Pods is included as part of EKS Auto Mode at no additional charge and is available on clusters running Kubernetes version 1.36 or later, in all AWS Regions where EKS Auto Mode is supported. To learn more, see Security groups for Pods in the Amazon EKS User Guide and the Amazon EKS Auto Mode product page.
AWS Quick apps are now available in Asia Pacific (Singapore)
The AWS Quick desktop app for macOS and Windows and the Quick mobile app for iOS and Android are now available in the Asia Pacific (Singapore) Region. This launch builds on the recent availability of Quick in Singapore.\n The desktop app works with your local files and connects to your calendar, email, and business apps. The mobile app lets you chat with Quick, review your activity feed, and open dashboards. Your conversations, context, and agents stay in sync across web, desktop, and mobile, so you can start an agent on your desktop, check on it from your phone, and let it keep running after you close your computer.
To get started, download the desktop app from the AWS Quick download page or the mobile app from the Apple App Store or Google Play. To learn more, see AWS Quick on mobile in the AWS Quick User Guide and the AWS Quick product page.
Amazon SES now supports higher limits for email identities, tenants, and configuration sets
Amazon Simple Email Service (Amazon SES) now supports higher limits for email identities, tenants, and configuration sets. You can view your current usage against each limit and request increases in the AWS Service Quotas console. A single account can now keep pace with your growth, so you no longer need to split email workloads across several accounts to stay within per-account limits.\n Customers running multi-tenant workloads often create a separate email identity, tenant, or configuration set for each customer, brand, or AI agent they serve. As you add more customers, brands, and AI agents, these resources can multiply quickly, and higher limits let all of these workloads grow in one account. To help you manage larger accounts, you can now also search these resources by name or status.
Higher limits for email identities, tenants, and configuration sets are available in all AWS Regions where Amazon SES is available.
To learn more, see Service quotas in Amazon SES in the Amazon SES Developer Guide and the Amazon SES product page.
AWS Blogs
AWS Japan Blog (Japanese)
- Introducing “Approve for Me” by Kiro
- Seven Manufacturing Companies Frankly Talk About AI Agent Company-wide Infrastructure Practices and Issues: Generative AI Infrastructure and Utilization Promotion Roundtable 2026/10 Report
AWS News Blog
AWS Cloud Financial Management
AWS Big Data Blog
- Build a data foundation for agentic AI on AWS: From lakehouse to MCP
- Build a multi-team AI and analytics environment on Amazon SageMaker Unified Studio with Terraform
- How Samsung Ads federated Snowflake Iceberg tables using Amazon Cognito
- Allocate shared Amazon MSK costs to Kafka topics for cost visibility
- Governance compliance beyond the catalog in Amazon SageMaker Unified Studio
- How Intuit migrated from Apache Hive Metastore to AWS Glue Data Catalog
AWS Compute Blog
- Monitor application health with Amazon EC2 application status checks
- Building a GPU workstation for visual effects with Amazon EC2: Part 5 – Security
- Building a GPU workstation for visual effects with Amazon EC2: Part 4 – Optimizations
- Building a GPU workstation for visual effects with Amazon EC2: Part 3 – Windows
- Building a GPU workstation for visual effects on Amazon EC2: Part 2 – Linux
- Build a GPU workstation for visual effects on Amazon EC2: Part 1 – Setup
AWS Database Blog
- Building a multi-tenant CRM with Amazon Aurora DSQL
- Offline assessment and conversion with AI agents in AWS DMS
- Build an Oracle AWR-style report for RDS/Aurora PostgreSQL
- Migrate from Amazon EC2 to Amazon ElastiCache Serverless with zero downtime
- Automating Oracle Data Guard switchover and failover on Amazon EC2
- Help prevent out-of-memory restarts on Aurora MySQL 8.4
- Diagnose Amazon Aurora MySQL performance using CloudWatch Database Insights
- Automate Aurora zero-ETL recovery after global failover
- How Flickr modernized caching with Amazon ElastiCache for Valkey
- Multi-tenancy with Amazon ElastiCache: Choosing the right isolation model
AWS for Industries
- Migrating Epic to AWS returned 185% over three years compared to on-premises deployments
- Smart paint shop: How agentic AI turns quality anomalies into scheduling decisions
Artificial Intelligence
- The attendee’s guide to the AWS re:Invent 2026 AI/ML track
- Automating AWS Agent Registry updates with push-based architecture
- How DXC Technology built a multi-model AI substrate on Amazon Bedrock
- Accelerating generative AI delivery with reusable assets
- Accelerating product development with AI-driven lifecycle management (AI-PDLC) in AWS Quick
- UAEF: A framework-agnostic system for closed-loop evaluation of AI agents
- Introducing usage-based pricing for Amazon SageMaker AI bidirectional streaming
- Introducing Kimi K3.1 Pro on Amazon Bedrock
AWS for M&E Blog
AWS Messaging Blog
- Navigating messaging requirements in betting and gaming technology applications (Part 2: Executing the registration and maintaining compliance)
- Navigating messaging requirements in betting and gaming technology applications (Part 1: Understanding the landscape and preparing your application)
- Track SMS spend by team and use case with AWS End User Messaging
AWS Security Blog
- Ease of use and secure defaults in the new AWS experience
- Part 4 – Cybersecurity journeys: What I’d tell my younger self