9/17/2026, 12:00:00 AM ~ 9/18/2026, 12:00:00 AM (UTC)

Recent Announcements

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.\n 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 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.\n 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 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.\n 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.

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.  \n 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 Elastic Beanstalk introduces Cluster Mode to run multiple applications on shared infrastructure

AWS Elastic Beanstalk introduces Cluster Mode, a new deployment mode that lets you run and manage multiple applications on shared infrastructure in your account. Provide your source code, a Dockerfile, or a container image in Amazon ECR, and Elastic Beanstalk handles containerization, provisioning, and ongoing operations through the console, CLI, and APIs you already use. A new Elastic Beanstalk GitHub Action deploys your application directly from your repository as part of your CI/CD pipeline.\n AWS Elastic Beanstalk deploys, scales, and manages your applications for their full lifecycle while handling the infrastructure, so you can focus on your code. It now offers two deployment modes. Standard Mode is the existing Elastic Beanstalk experience and continues to support all currently available platforms, including .NET, Node.js, and Python. Cluster Mode runs multiple applications on pooled infrastructure in your account, powered by Amazon EKS, instead of a dedicated environment per application. This can lower your per-application compute cost as your applications scale or your application count grows. Cluster Mode supports event-driven autoscaling, OpenTelemetry-based observability to Amazon CloudWatch and third-party providers, AWS Secrets Manager integration, and HTTPS by default via AWS Certificate Manager.

To get started, create an environment in the Elastic Beanstalk console and select Cluster Mode. You can also deploy with the AWS CLI, the GitHub Action, or the agent skills.

Cluster Mode is available in all commercial AWS Regions where Elastic Beanstalk is available. Elastic Beanstalk is HIPAA eligible and in scope for programs including PCI DSS, SOC, FedRAMP, and IRAP. There is no additional charge for Cluster Mode. You pay for the AWS resources your applications consume, including the EKS cluster and EKS Auto Mode charges for the infrastructure Elastic Beanstalk provisions on your behalf. See the Elastic Beanstalk and EKS pricing pages for details.

To learn more, see the AWS News blog, the Elastic Beanstalk Developer Guide, and the Elastic Beanstalk product page, or download the agent skills.

AWS Builder Center now available as mobile app on iOS and Android

AWS Builder Center is a platform that brings together the global builder community, offering articles, workshops, sandbox environments, events, and learning resources in one place. Previously limited to desktop and web access, the experience is now available as a mobile app on iOS and Android. Builders worldwide can stay connected and engaged with the community from anywhere, using their AWS Builder ID to remain signed in across sessions.\n The AWS Builder Center mobile app enables builders to browse trending articles, access 600+ AWS Skill Builder courses, and manage hands-on workshops with free sandbox environments directly from their mobile devices. Builders can follow AWS Heroes, Community Builders, and User Group Leaders, check Builder Loft event calendars on the go, and receive push notifications for subscribed topics and communities. The app also supports the Wishlist feature, allowing builders to submit and manage product feedback directly to AWS teams.

The AWS Builder Center mobile app is available worldwide on the Apple App Store and Google Play Store.

To learn more about the AWS Builder Center mobile app, visit the AWS Builder Center mobile page.

Amazon Quick now generates individual sheets and builds analyses from an image

Amazon Quick now expands Generate Analysis with two new ways to create dashboards faster. You can generate a single sheet inside an existing analysis by describing it in natural language, and you can generate a new analysis from an image of an existing dashboard.\n  

With Generate Sheet, you describe the sheet you want and Amazon Quick adds it to your current analysis with visuals selected for your data, filter controls, and calculated fields such as year-over-year growth and month-over-month comparisons. You can extend an analysis without building each visual by hand.

 

With generate an analysis from an image, you attach an image of a dashboard, including dashboards from other BI tools, to your prompt when you generate an analysis. Amazon Quick recreates it as an editable analysis, building what is supported in Amazon Quick. Both capabilities work with existing publishing workflows, embedding, CI/CD pipelines, and point-and-click editing.

 

At launch, Generate Sheet and generate analysis from an image are available to Enterprise subscription/Author Pro users. Authors also have promotional access to this capability through December 2026 as part of Amazon Quick Enterprise, provided their organization has not restricted access.

 

To learn more, see Generating an analysis with natural language prompts in the Amazon Quick User Guide. To get started, open an analysis and choose Generate Sheet, or attach an image to your prompt and choose Generate analysis.

Amazon Corretto 27 is now generally available

Amazon Corretto 27, a Feature Release (FR) version, is now available for download. Amazon Corretto is a no-cost, multi-platform, production-ready distribution of OpenJDK. You can download Corretto 27 for Linux, Windows, and macOS from our downloads page. Corretto 27 will be supported through April 2027. Noticeable features: \n

G1 as the Default Garbage Collector in All Environments - Makes G1 the default garbage collector across all environments, delivering more consistent performance and predictable pause times regardless of where your application runs (JEP 523)

Post-Quantum Hybrid Key Exchange for TLS 1.3 - Adds protection against future quantum computing threats by combining classical and post-quantum key exchange algorithms in TLS 1.3 connections (JEP 527)

Compact Object Headers by Default - Reduces the memory footprint of Java objects by enabling smaller object headers by default, improving memory efficiency and cache utilization (JEP 534)

JFR In-Process Data Redaction - Allows sensitive data to be redacted from Java Flight Recorder recordings before they leave the JVM, helping protect confidential information during profiling and diagnostics (JEP 536)

Enhanced Pattern Matching (continued preview) - Extends support for primitive types in patterns, instanceof, and switch, letting developers write cleaner type and value checks including for types like int and boolean (JEP 532)

Structured Concurrency (continued preview) - Refines the API for structured concurrency, treating groups of related tasks running in different threads as single units of work, streamlining error handling and cancellation, improving reliability, and enhancing observability (JEP 533)

Lazy Constants (continued preview) - Provides an API to defer initialization of immutable data until it is actually needed, combining the performance benefits of final fields with the flexibility of lazy initialization (JEP 531)

Vector API (continued incubator) - Improves support for high-performance mathematical operations that can take advantage of modern CPU vector capabilities (JEP 537)

A detailed description of these features can be found on the OpenJDK 27 Project page. Amazon Corretto 27 is distributed by Amazon under an open source license.

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