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Amazon Aurora serverless — the autoscaling database that scales up to support your most demanding workloads and down to zero when you don't need it — just got faster and smarter, with up to 30% better performance than the previous version and enhanced scaling that understands your workload. It's especially well-suited for agentic AI applications, which typically have bursts of activity, long idle windows, and unpredictable patterns. Aurora serverless handles all of it automatically, scaling capacity with your agents rather than against them, and you only pay for what you actually use. When not in use, the database automatically scales down to zero to save cost. With improved performance and scaling, you can now use serverless for even more demanding workloads. The enhanced scaling algorithm enables you to efficiently run workloads where multiple tasks compete for resources, such as busy web applications and API

Amazon Connect Outbound Campaigns now allows you to dial contacts in configurable priority order based on up to 10 profile attributes for voice campaigns and voice activities in journeys. This helps you focus agent time on the most valuable customers or time-sensitive opportunities, improving campaign effectiveness and conversion rates. With contact priority ordering, you can sort segments on attributes such as customer lifetime value, account tier, or appointment date. For example, a financial services team can prioritize outreach to high-value accounts nearing contract renewal, or a healthcare provider can ensure patients with the earliest upcoming appointments are contacted first. Initial dial attempts always take precedence over reattempts, ensuring your priority order is maintained throughout campaign execution.  This capability is available in all AWS Regions where Amazon Connect Outbound Campaigns is 

Amazon Elastic Block Store (Amazon EBS) now supports up to four Elastic Volumes modifications per volume within a rolling 24-hour window in AWS European Sovereign Cloud (Germany) Region. Elastic Volumes modifications allow you to increase the size, change the type, and adjust the performance of your EBS volumes. With this update, you can start a new modification immediately after the previous one completes, as long as you have initiated fewer than four modifications in the past 24 hours. This enhancement improves your operational agility to immediately scale storage capacity or adjust performance in response to sudden data growth or unanticipated workload spikes. With Elastic Volumes modifications, you can modify your volumes without detaching them or restarting your instances, allowing your application to continue running with minimal performance impact. The Elastic Volumes modifications enhancement is automatically available in the Region without requiring changes

Today, we're announcing that Amazon Elastic VMware Service (Amazon EVS) now offers Microsoft Windows Server licensing entitlements. You can now migrate or create new virtual machines (VMs) running Windows Server OS in EVS and obtain Windows Server licensing entitlements for those VMs from AWS. Amazon EVS lets you run VMware Cloud Foundation (VCF) directly within your Amazon Virtual Private Cloud (VPC) on EC2 bare-metal instances, powered by AWS Nitro. Using either our step-by-step configuration workflow or the AWS Command Line Interface (CLI), you can set up a complete VCF environment in just a few hours. This rapid deployment enables faster workload migration to AWS, helping you eliminate aging infrastructure, reduce operational risks, and meet critical timelines for exiting your data center. With this latest functionality, you can now entitle your Windows Server VMs on Amazon EVS with Microsoft Windows Server. You can configure an EVS connector to your VMware

AWS IoT Greengrass v2.17 is now available, enabling you to run the edge runtime as a non-root user on Linux systems and deploy lighter-weight components that use significantly less memory. AWS IoT Greengrass is an Internet of Things (IoT) edge runtime and cloud service that helps customers build, deploy, and manage device software at the edge. With this release, you can install and run AWS IoT Greengrass v2.17 as a non-root user, making it easy for you to meet security requirements in enterprise and regulated environments where root access is prohibited. The release also adds an uninstall life cycle capability that automatically activates when you remove a component from a device, simplifying dependency management. Moreover, the release introduces the following new nucleus lite capabilities to reduce resource consumption at the edge: Secure Tun

Amazon DocumentDB (with MongoDB compatibility) supports in-place major version upgrade (MVU) from version 5.0 to 8.0. You can upgrade with just a few clicks in the AWS Management Console or via the AWS SDK or AWS CLI — no new clusters, no endpoint changes, and no index rebuilds required. Upgrading to version 8.0 delivers performance and cost improvements: query latency improves by up to 7x and storage compression improves by up to 5x, so your applications run faster on less storage, reducing your costs. Version 8.0 also adds new capabilities including collation, views, new aggregation stages and operators, enhanced text search with text index v2, and vector index builds that are up to 30x faster. In-place MVU from version 5.0 to 8.0 is available in all AWS Regions where Amazon DocumentDB 8.0 is available, at no additional cost. To get started,

Amazon Elastic Kubernetes Service (EKS) now supports seven additional IAM condition keys for cluster creation and configuration APIs, enhancing the governance controls available through IAM policies and Service Control Policies (SCPs). Organizations managing multi-account environments require centralized mechanisms to enforce security and compliance requirements consistently across all clusters without relying on manual processes or post-deployment checks. This expansion of EKS IAM condition keys further enables proactive policy enforcement, providing organizations with more granular control to establish guardrails for cluster configurations. Organizations can now enforce private-only API endpoints (eks:endpointPublicAccess, eks:endpointPr

Amazon Connect Outbound Campaigns now allows you to refresh campaign segments as frequently as every hour, reduced from the previous minimum of 24 hours. This enables campaigns to reach newly eligible customers throughout the day rather than waiting for the next daily run. With hourly segment refresh, your campaigns stay current with changing business conditions across all campaign types. A collections team can start outreach to newly delinquent accounts the same afternoon they are flagged. A healthcare provider can begin appointment reminder calls within an hour of a new booking. A multi-step journey, such as sending an SMS reminder followed by a voice call if the customer doesn't respond, can enroll new customers throughout the day instead of in a single daily batch.   This capability is available in all AWS Regions where Amazon Connect Outbound Campaigns is offered at no

Amazon MSK Replicator now supports data replication from external Apache Kafka clusters—including on-premises, self-managed on AWS, or other cloud providers—to Amazon MSK Express brokers. This capability simplifies workload migration to MSK Express Brokers, supports disaster recovery by using MSK Express-based clusters as a failover or backup target, and enables data distribution across hybrid and multi-cloud environments.  MSK Replicator is a feature of Amazon MSK that automates data replication between Kafka clusters, eliminating the need to manage custom replication infrastructure or configure open-source tools. MSK Express brokers are designed to deliver up to 3 times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90 percent as compared to Standard brokers running Apache Kafka. With this launch, you can now use MSK

Amazon MSK Replicator now provides enhanced consumer offset synchronization for bidirectional replication, enabling applications to resume processing from the correct position when moving across Kafka clusters. This capability enables you to move producer and consumer applications between clusters independently, in any order, without the risk of data loss.   MSK Replicator is a feature of Amazon MSK that automates data replication between Kafka clusters, eliminating the need to manage custom replication infrastructure or configure open-source tools. Previously, while replicating bidirectionally with MSK Replicator, consumer group offsets were synchronized only when producers and consumers were active on the same cluster, requiring careful sequencing of application migrations between clusters and increasing the risk of duplicate message processing during rollbacks. With this launch, MSK Replicator synchronizes consumer group offsets acr