Monat: Oktober 2025

AWS Elastic Beanstalk adds support for Amazon Corretto 25

AWS Elastic Beanstalk now enables customers to build and deploy Java applications using Amazon Corretto 25 on Amazon Linux 2023 (AL2023) platform. This latest platform support allows developers to leverage the newest Java 25 features while benefiting from AL2023’s enhanced security and performance capabilities. AWS Elastic Beanstalk is a service that provides the ability to deploy and manage applications in AWS without worrying about the infrastructure that runs those applications. Corretto 25 on AL2023 allows developers to take advantage of the latest Java language features including compact object headers, ahead-of-time (AOT) caching, and structured concurrency. Developers can create Elastic Beanstalk environments running Corretto 25 through the Elastic Beanstalk Console, CLI, or API. This platform is generally available in commercial regions where Elastic Beanstalk is available including the AWS GovCloud (US) Regions. For a complete list of regions and service offerings, see AWS Regions. For more information about Corretto 25 and Linux Platforms, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
Quelle: aws.amazon.com

Introducing the Capacity Reservation Topology API for AI, ML, and HPC instance types

AWS announces the general availability of the Amazon Elastic Compute Cloud (EC2) Capacity Reservation Topology API. It joins the Instance Topology API in enabling customers to efficiently manage capacity, schedule jobs, and rank nodes for Artificial Intelligence, Machine Learning, and High-Performance Computing distributed workloads. The Capacity Reservation Topology API gives customers a unique per-account hierarchical view of the relative location of their capacity reservations.
Customers running distributed parallel workloads are managing thousands of instances across tens to hundreds of capacity reservations. With the Capacity Reservation Topology API, customers can describe the topology of their reservations as a network node set, which will show the relative proximity of their capacity without the need to launch an instance. This enables efficient capacity planning and management as customers provision workloads on tightly coupled capacity. Customers can then use the Instance Topology API, which provides consistent network nodes from the Capacity Reservation Topology API with further granularity, enabling a consistent and seamless way to schedule jobs and rank nodes for optimal performance in distributed parallel workloads.
The Capacity Reservation Topology API is available in the following AWS regions: US East (N. Virginia), US East (Ohio), US West (N. California), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta), Asia Pacific (Hong Kong), Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Asia Pacific (Mumbai), Asia Pacific (Osaka), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Spain), Europe (Stockholm), Europe (Zurich), Middle East (Bahrain), Middle East (UAE), and South America (São Paulo), and it is supported on all instances available with the Instance Topology API.
To learn more, please visit the latest EC2 user guide.
Quelle: aws.amazon.com

Amazon ECS now supports built-in Linear and Canary deployments

Amazon Elastic Container Service (Amazon ECS) announces support for linear and canary deployment strategies, giving you more flexibility and control when deploying containerized applications. These new strategies complement ECS built-in blue/green deployments, enabling you to choose the traffic shifting approach that best matches your application’s risk profile and validation requirements.
With linear deployments, you can gradually shift traffic from your current service revision to the new revision in equal percentage increments over a specified time period. You configure the step percentage (for example, 10%) to control how much traffic shifts at each increment, and set a step bake time to wait between each traffic shift for monitoring and validation. This allows you to validate your new application version at multiple stages with increasing amounts of production traffic. With canary deployments, you can route a small percentage of production traffic to your new service revision while the majority of traffic remains on the current stable version. You set a canary bake time to monitor the new revision’s performance, after which Amazon ECS shifts the remaining traffic to the new revision. Both strategies support a deployment bake time that waits after all production traffic has shifted to the new revision before terminating the old revision, enabling quick rollback without downtime if issues are detected. You can configure deployment lifecycle hooks to perform custom validation steps, and use Amazon CloudWatch alarms to automatically detect failures and trigger rollbacks.
The feature is available in all commercial AWS Regions where Amazon ECS is available. You can use linear and canary deployment strategies for new and existing Amazon ECS services that use Application Load Balancer (ALB) or ECS Service Connect, using the Console, SDK, CLI, CloudFormation, CDK, and Terraform. To learn more, see our documentation on Amazon ECS linear deployments and Amazon ECS canary deployments.
Quelle: aws.amazon.com

Amazon S3 Access Grants are now available in additional AWS Regions

You can now create Amazon S3 Access Grants in the AWS Asia Pacific (Thailand) and AWS Mexico (Central) Regions. Amazon S3 Access Grants map identities in directories such as Microsoft Entra ID, or AWS Identity and Access Management (IAM) principals, to datasets in S3. This helps you manage data permissions at scale by automatically granting S3 access to end users based on their corporate identity. Visit the AWS Region Table for complete regional availability information. To learn more about Amazon S3 Access Grants, visit our product page.
Quelle: aws.amazon.com

Amazon S3 adds conditional write functionality to copy operations

Amazon S3 expands conditional write functionality to copy operations. With conditional copy, you can now verify if the object exists or has been modified in your destination S3 bucket before copying it. This helps you coordinate simultaneous writes to the same object and prevents multiple concurrent writers from unintentionally overwriting the object. You can now perform conditional copy operations through S3 CopyObject by including either the HTTP if-none-match header to verify object existence or the HTTP if-match header with ETag to validate the object’s content. Additionally, you can use the s3:if-match and s3:if-none-match condition keys in your S3 bucket policies to enforce conditional copy operations. S3 then evaluates the condition against the specified object’s key or ETag before executing the copy operation in the destination bucket. This eliminates the need for additional client-side coordination mechanisms or API validation requests. Conditional copy is available at no additional charge in all AWS Regions in both S3 general purpose and directory buckets. You can use the AWS SDK, API, or CLI to copy data conditionally to your buckets. To learn more about conditional operations, visit the S3 User Guide.
Quelle: aws.amazon.com