10/14/2026, 12:00:00 AM ~ 10/15/2026, 12:00:00 AM (UTC)

Recent Announcements

AWS License Manager now supports license type conversions for Ubuntu Pro purchased through AWS Marketplace

AWS License Manager  now supports in-place upgrades for EC2 Ubuntu LTS (Long Term Support) instances to Ubuntu Pro available on AWS Marketplace. This allows customers to strengthen their security posture and meet compliance requirements without rebuilding their fleet or migrating workloads to a new instance or AMI. With an Ubuntu Pro subscription, customers receive security patches for up to 10 years — extendable to 15 years with the Legacy add-on. This coverage extends beyond the base OS to thousands of additional packages, including widely used open-source applications such as NGINX, PostgreSQL, MongoDB, and Redis. Ubuntu Pro also supports Kernel Livepatch, which applies critical kernel security fixes without rebooting to minimize downtime.\nWith this launch, customers, who have an existing Canonical Ubuntu Pro subscription through AWS Marketplace, can upgrade directly during the conversion workflow. Customers who do not yet have a subscription can subscribe to Canonical Ubuntu Pro from within the AWS License Manager console. The new feature is available in  all commercial regions  where AWS License Manager is available. To get started, navigate to the  AWS License Manager console  and the  AWS License Manager User Guide .

Amazon SageMaker Studio simplifies getting started for new AI/ML builders with social sign-in

Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment - no traditional AWS account setup, no credit card, and no console navigation required.\nPreviously, new customers who discovered a model on Hugging Face or an AWS product page had to complete a multi-step AWS account creation process, provide a credit card, navigate the AWS Console to find SageMaker AI, configure an environment, and set up IAM permissions before they could begin working. With earlier launches, we reduced environment setup to twenty seconds, pre-configured model customization permissions, and introduced deep links from Hugging Face and AWS product pages so customers could land directly inside Studio with a model pre-loaded. Now, with social sign-in, new customers complete a simplified sign-up using an existing identity, receive free credits as part of the AWS Free Tier with no credit card required, and arrive inside a ready-to-use SageMaker Studio environment where they can immediately fine-tune, evaluate, and deploy foundation models. Customers can invite team members by email, and collaborators sign in with their own social credentials to access the shared Studio environment, including shared models, notebooks, and endpoints without configuring IAM users or permissions. When a project grows beyond free credits, customers can upgrade to a paid plan and set a spend limit to stay within budget. Verified customers continue to receive default GPU access to G5, G6, G6e, and G4dn instances across endpoint deployments, training jobs, and notebooks without requesting quota increases. This feature is available in all AWS Commercial Regions where Amazon SageMaker Studio is supported. To get started, visit any supported model on Hugging Face and select “Customize and Deploy on SageMaker AI” or “Deploy on SageMaker AI,” or click Get Started from the SageMaker Studio page. To learn more, see the AWS sign-up documentation and SageMaker Studio setup guide.

AWS HealthOmics introduces resource fallback order for Nextflow workflows

Today, AWS HealthOmics introduces the resource fallback directive for tasks in your Nextflow workflows, enabling you to define an ordered list of preferred accelerator types, including an option to fallback to CPU instances. Researchers and bioinformaticians can use this directive to reduce time spent diagnosing and resubmitting runs due to accelerator constraints and keep production workflows running. AWS HealthOmics is a HIPAA-eligible service that helps healthcare and life sciences customers accelerate scientific breakthroughs at scale with fully managed bioinformatics workflows. \nWith resource fallback for Nextflow workflows, you can prioritize your preferred accelerator for your task. When your preferred accelerator is unavailable, HealthOmics automatically moves through your specified alternatives in the fallback without resubmission. Each accelerator profile has a configurable timeout, giving you control over how long HealthOmics searches for that accelerator before moving to the next. Shorter timeouts help you move quickly through the fallback order, while longer timeouts increase the probability of reserving your preferred accelerator. You can also include a CPU profile as a final fallback to increase the likelihood of your task reserving an instance.  You can now use resource fallback for Nextflow workflows in all AWS HealthOmics Regions: US East (N. Virginia, Ohio), US West (Oregon), Europe (Frankfurt, Ireland, London), Israel (Tel Aviv), and Asia Pacific (Seoul, Singapore, Tokyo). To learn more, visit the advanced resource configuration and Nextflow specifics documentation.

AWS Backup now supports Amazon FSx file systems in the Asia Pacific (New Zealand) Region

AWS Backup now supports Amazon FSx for Lustre, Amazon FSx for NetApp ONTAP, Amazon FSx for OpenZFS, and Amazon FSx for Windows File Server in the Asia Pacific (New Zealand) Region.\nWith this launch, you can use AWS Backup to centrally automate and manage data protection for your Amazon FSx file systems in the Asia Pacific (New Zealand) Region, alongside your other supported AWS resources. You can create policy-based backup plans to schedule backups and apply retention rules, store backups in encrypted vaults, and restore file systems when needed. This helps you meet business continuity, disaster recovery, and regulatory compliance requirements from a single, centralized service. To get started, visit the AWS Backup console, AWS Command Line Interface (CLI), or AWS SDKs. For a complete list of supported Regions and features, visit the AWS Backup documentation. To learn more about AWS Backup, visit the product page and pricing page.

Amazon RDS Proxy now supports SQL Server 2022

Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), now supports Amazon RDS for SQL Server instances running major version 2022.\n documentation.

Amazon S3 is now available on the Vercel Marketplace and v0 by Vercel

Amazon S3, including S3 Tables and S3 Vectors, is now available on the Vercel Marketplace and v0 by Vercel. Developers can create and connect S3 resources in seconds without leaving their development environment, getting the durability, scalability, and performance of S3 through Vercel’s streamlined provisioning workflow.\nMillions of customers rely on S3 for low-cost, high-performance storage to power web and AI applications, but until now provisioning it from Vercel required navigating to the AWS Management Console. Now, S3 integrates directly into the Vercel developer experience, automatically handling resource provisioning and connection configuration. You can choose from S3 general purpose buckets for virtually any use case, S3 Tables for fully managed Apache Iceberg tables optimized for analytics workloads, or S3 Vectors to natively store and query vectors at scale. New AWS accounts created through Vercel include $100 in credits valid for up to six months, usable across Amazon S3, Amazon OpenSearch Serverless, and AWS Database services. Existing AWS customers can link their account to use S3 with their Vercel projects. Amazon S3 on Vercel is now available in all AWS Regions where Vercel is available. To get started, read the AWS News Blog, visit AWS on Vercel Marketplace, or launch v0 by Vercel.

AWS Security Hub now supports resource criticality for prioritization

Today, AWS Security Hub adds resource criticality to exposure prioritization, helping central security teams focus on the exposures that threaten their most business-critical resources.\nYou can set criticality with an automation rule, for example marking every compute resource in a specific account as Very High. The rule applies to resources already in your inventory and to new resources as Security Hub discovers them. Security Hub also infers criticality from resource tags and resource names, with no configuration required, and records which source determined the value. Criticality appears as a column on the Resources page for sorting, filtering, and grouping, and on the Impact assessment tab of an exposure finding. Resource criticality is included with Security Hub Essentials at no additional cost and is always on for all customers. Resource criticality is included with Security Hub Essentials at no additional cost and requires no new enablement. To learn more, see  AWS Security Hub User Guide and the AWS Security Hub product page. For a list of AWS Regions where Security Hub is available, see the AWS Region table.

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