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Today, Amazon Simple Email Service (SES) launched a new pricing structure for Virtual Deliverability Manager (VDM), giving customers reduced charges at higher levels of usage. Customers can benefit from lower total VDM charges without the need to change account configuration, sending practices, or billing setup. This can lower customer total cost of ownership for VDM as their usage increases. Previously, all customers using VDM paid a fixed price per message sent. Customers could turn VDM on or off whenever needed, and they paid only for what they used without any commitment or fixed monthly charges. Now, customers will see their charges per message for VDM decrease as their sending volume exceeds specific thresholds each month. After crossing each threshold in a given billing month, each subsequent message processed by VDM is charged at

AWS Lambda now supports Amazon CloudWatch Application Signals, an application performance monitoring (APM) solution, for Java and .NET managed runtimes, enabling developers and operators to easily monitor the health and performance of their serverless applications built using Lambda. We previously announced support for Application Signals for Lambda functions for Python and Node.js managed runtimes. With this launch, you can now enable Application Signals for Lambda functions using Java 11, Java 17, Java 21, and .NET 8 Lambda managed runtimes. Once enabled, Application Signals provides pre-built, standardized dashboards for critical application metrics (such as throughput, availability, latency, faults, and errors), correlated traces, and interactions between the Lambda function and its dependencies (such as other AWS services), without requiring any manual instrumentation or code

Amazon Q Developer transformation capabilities that allow customers to upgrade Java applications using Maven to Java 21 are now available. Developers interested in leveraging the enhanced performance, security, interoperability, and modern features of Java 21 can use the generative AI capabilities of Amazon Q Developer to accelerate code upgrades to Java 21. With this added support for Java Development Kit (JDK) 21, customers can upgrade the Java version of their applications using Maven from source versions 8, 11, 17, or 21 to target versions 17 or 21. Customers can also continue to upgrade libraries and frameworks used in Java 17 or Java 21 compatible applications without upgrading JDK versions. The Java transformation capabilities are available both in IDE (Visual Studio Code and JetBrains IntelliJ IDEA) and CLI (Linux and MacOS). To learn more, please visit Amazon Q Developer transformation capabilities

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) C7g instances are available in the AWS Europe (Zurich) Region. These instances are powered by AWS Graviton3 processors that provide up to 25% better compute performance compared to AWS Graviton2 processors, and built on top of the the AWS Nitro System, a collection of AWS designed innovations that deliver efficient, flexible, and secure cloud services with isolated multi-tenancy, private networking, and fast local storage. Amazon EC2 Graviton3 instances also use up to 60% less energy to reduce your cloud carbon footprint for the same performance than comparable EC2 instances. For increased scalability, these instances are available in 9 different instance sizes, including bare metal, and offer up to 30 Gbps networking bandwidth and up to 20 Gbps of bandwidth to the Amazon Elastic Block Store (EBS). To learn more, see Amazon EC2 C7g.

Today, Amazon Inspector announced an upgrade to the engine powering its container image scanning for Amazon Elastic Container Registry (ECR). This upgrade will provide you with a more comprehensive view of the vulnerabilities in the third-party dependencies used in your container images. The enhancement to the engine will happen automatically without any action or disruption to your existing workflows. Existing customers can expect to see some findings closed as the new engine re-evaluates all the existing resources to better assess risks, while also surfacing new vulnerabilities as per the new engine’s dependency collection. Amazon Inspector is a vulnerability management service that continually scans AWS workloads including Amazon EC2 instances, container images, and AWS Lambda functions

With the launch of AWS CloudTrail network activity for VPC endpoints, you now have additional visibility into AWS API activity that traverses your VPC endpoints, enabling you to strengthen your data perimeter and implement better detective controls. You can enable network activity events for VPC endpoints for five AWS Services: Amazon S3, Amazon EC2, AWS Key Management Service (AWS KMS), AWS Secrets Manager, and AWS CloudTrail. With network activity events for VPC endpoints, you can view details of who is accessing resources within your network giving you greater ability to identify and respond to malicious or unauthorized actions in your data perimeter. For example, as the VPC endpoint owner, you can view logs of actions that were denied due to VPC endpoint policies or determine if an actor outside of your data perimeter is trying to access the data in your S3 buckets. You can enable logging for network activity events logging for your VPC endpoints using the AWS

Today, Amazon Web Services announced that Amazon Elastic Compute Cloud (Amazon EC2) Capacity Blocks for ML is now available in several new regions as well as new instance types in existing locations. You can use EC2 Capacity Blocks to reserve highly sought-after GPU instances in Amazon EC2 UltraClusters for a future date for the amount of time that you need to run your machine learning (ML) workloads. EC2 Capacity Blocks enable you to reserve GPU capacity up to eight weeks in advance for durations up to 6 months in cluster sizes of one to 64 instances, giving you the flexibility to run a broad range of ML workloads. They are ideal for short duration pre-training and fine-tuning workloads, rapid prototyping, and for handling surges in inference demand. EC2 Capacity Blocks deliver low-latency, high-throughput connectivity through colocation in Amazon EC2 UltraClusters. With this expansion, EC2 Capacity Blocks for ML are available on P5, P5e, P5en in US East (N. Virgi

AWS Deadline Cloud now includes support for Adobe After Effects in its Service-Managed Fleets. AWS Deadline Cloud is a fully managed service that simplifies render management for teams creating computer-generated graphics and visual effects, created in industry-standard graphics tools such as Adobe After Effects, for films, television and broadcasting, web content, and design. With this new feature, you can submit After Effects projects to Deadline Cloud without having to manage your own render farm infrastructure. The integration offers built-in support for custom fonts and an adjustable number of image sequence frames rendered per task, allowing you to submit jobs that are tailored to your workflow directly within After Effects. AWS Deadline Cloud automatically handles the provisioning and elastic scaling of compute resources required for rendering your After Effects projects. Service-Managed Fleets can be configured in minutes so you can begin rendering immediately.

Today, we are launching the ability to remove Availability Zones (AZ) of an existing Network Load Balancer (NLB). Prior to this launch, customers could add AZs to an existing NLB, but could not remove AZs. With this capability, customers can now change their application stack locations and move them between availability zones quickly. Changing business needs such as mergers & acquisitions, divestitures, data residency compliance requirements, and capacity considerations in a given region are some of the use cases that necessitate removing AZs of existing NLBs. Using this capability, customers can remove one or more availability zones from their NLB by simply updating the list of enabled subnets using ELB API, CLI or Console. Similar to any delete operation, removing a zone can be a potentially disruptive operation. When you remove a zone, the NLB zonal Elastic Network Interface (ENI) is deleted. All active connections to backend targets in that zone (including

Amazon Relational Database Service (RDS) for PostgreSQL now supports the latest minor versions 17.3, 16.7, 15.11, 14.16, and 13.19. We recommend that you upgrade to the latest minor versions to fix known security vulnerabilities in prior versions of PostgreSQL, and to benefit from the bug fixes added by the PostgreSQL community. This release also includes updates for PostgreSQL extensions such as pg_active 2.1.4, pg_cron 1.6.5, pg_partman 5.2.4, and others. You can use automatic minor version upgrades to automatically upgrade your databases to more recent minor versions during scheduled maintenance windows. You can also use Amazon RDS Blue/Green deployments for RDS for PostgreSQL using physical replication for your minor version upgrades. Learn more about upgrading your databa