5/30/2025, 12:00:00 AM ~ 6/2/2025, 12:00:00 AM (UTC)

Recent Announcements

Amazon MWAA now provides option to update environments without interrupting task execution

Amazon Managed Workflows for Apache Airflow (MWAA) now provides the option to update environments without interrupting running tasks on supported Apache Airflow versions (v2.4.3 or later).\n Amazon MWAA is a managed service for Apache Airflow that lets you use the same familiar Apache Airflow platform as you do today to orchestrate your workflows and enjoy improved scalability, availability, and security without the operational burden of having to manage the underlying infrastructure. Amazon MWAA now allows you to update your environment without disrupting your ongoing workflow tasks. By choosing this option, you are now able to update an MWAA environment in graceful manner where MWAA will replace Airflow Scheduler and Webserver components, provision new workers, and wait for ongoing worker tasks to complete before removing older workers. The graceful option is available only for supported Apache Airflow versions (v2.4.3 or later) on MWAA. You can enable graceful updates in your MWAA environment by performing an update with just a few clicks in the AWS Management Console in all currently supported Amazon MWAA regions. To learn more about graceful updates of MWAA environments, visit the Amazon MWAA documentation. To learn more about the Apache Airflow versions on MWAA, visit the Apache Airflow versions on Amazon Managed Workflows for Apache Airflow. Apache, Apache Airflow, and Airflow are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.

Announcing Red Hat Enterprise Linux for AWS

Red Hat Enterprise Linux (RHEL) for AWS, starting with RHEL 10, is now generally available, combining Red Hat’s enterprise-grade Linux software with native AWS integration. RHEL for AWS is built to achieve optimum performance of RHEL running on AWS. This offering features pre-tuned images with AWS-specific performance profiles, built-in Amazon CloudWatch telemetry, integrated AWS Command Line Interface (CLI), image mode using container-native tooling, enhanced security from boot to runtime, and optimized networking with Elastic Network Adapter (ENA) support.\n For organizations looking to accelerate innovation and meet customer demands, RHEL for AWS combines the stability of RHEL with native AWS integration. This purpose-built solution is designed to deliver optimized performance, improved security, and simplified management through AWS-specific configurations and tooling. Whether migrating existing workloads or deploying new instances, RHEL for AWS provides a standardized, ready-to-use software that can help teams reduce operational overhead and focus on business initiatives rather than infrastructure management. Customers can save valuable time with built-in AWS service integration, automated monitoring, and streamlined deployment options. Customers can access RHEL for AWS Amazon Machine Images (AMIs) through the Amazon EC2 Console or AWS Marketplace with flexible procurement options. Please visit Red Hat Enterprise Linux on Amazon EC2 FAQs page for more details. The service is available across all AWS Commercial and AWS GovCloud (US) Regions. To get started with RHEL for AWS, visit EC2 console or AWS Marketplace.

AWS CDK Toolkit Library is now generally available

Today, AWS announces the general availability of the AWS CDK Toolkit Library, a Node.js library that provides programmatic access to core AWS CDK functionalities such as synthesis, deployment, and destruction of stacks. This library enables developers to integrate CDK operations directly into their applications, custom CLIs, and automation workflows, offering greater flexibility and control over infrastructure management.\n Prior to this release, interacting with CDK required using the CDK CLI, which could present challenges when integrating CDK actions into automated workflows or custom tools. With the CDK Toolkit Library, developers can now build custom CLIs, integrate CDK actions in their existing CI/CD workflows, programmatically enforce guardrails and policies, and manage ephemeral environments. The AWS CDK Toolkit Library is available in all AWS Regions where the AWS CDK is supported. For more information and a walkthrough of the feature, check out the blog. To get started with the CDK Toolkit Library, please find the documentation here.

Amazon Redshift now enables cluster relocation by default for RA3 provisioned clusters

Amazon Redshift now enables cluster relocation by default for RA3 provisioned clusters when creating new clusters or restoring from snapshots. This feature allows you to move a cluster to another Availability Zone (AZ) when resource constraints disrupt cluster operations, maintaining the same endpoint so applications continue without modifications.\n Amazon Redshift already provides resiliency by automatically detecting and recovering from drive and node failures. Cluster relocation adds another layer of availability protection against AZ-level issues that might prevent optimal cluster operations. While this setting is now enabled by default for new or restored clusters, existing RA3 provisioned clusters maintain their current configuration unless manually changed. You can manage cluster relocation settings through the AWS Management Console, AWS CLI, or API. This feature is available at no additional cost for RA3 provisioned clusters across all AWS Regions where RA3 instance types are supported. For more information about cluster relocation, visit our documentation page.

Amazon EKS and Amazon EKS Distro now supports Kubernetes version 1.33

Kubernetes version 1.33 introduced several new features and bug fixes, and AWS is excited to announce that you can now use Amazon Elastic Kubernetes Service (EKS) and Amazon EKS Distro to run Kubernetes version 1.33. Starting today, you can create new EKS clusters using version 1.33 and upgrade existing clusters to version 1.33 using the EKS console, the eksctl command line interface, or through an infrastructure-as-code tool.\n Kubernetes version 1.33 includes stable support for sidecar containers, topology-aware routing and traffic distribution, and consideration of taints and tolerations when calculating pod topology spread constraints, ensuring that pods are distributed across different topologies according to their specified tolerance. This release also adds support for user namespaces within Linux pods, dynamic resource allocation for network interfaces, and in-place resource resizing for vertical scaling of pods. To learn more about the changes in Kubernetes version 1.33, see our documentation and the Kubernetes project release notes. EKS now supports Kubernetes version 1.33 in all the AWS Regions where EKS is available, including the AWS GovCloud (US) Regions. You can learn more about the Kubernetes versions available on EKS and instructions to update your cluster to version 1.33 by visiting EKS documentation. You can use EKS cluster insights to check if there any issues that can impact your Kubernetes cluster upgrades. EKS Distro builds of Kubernetes version 1.33 are available through ECR Public Gallery and GitHub. Learn more about the EKS version lifecycle policies in the documentation.

AWS Pricing Calculator, now generally available, supports discounts and purchase commitment

Today, AWS announces the general availability of the AWS Pricing Calculator in the AWS console. This launch enables customers to create more accurate and comprehensive cost estimates by providing two types of cost estimates: cost estimation for a workload, and estimation of a full AWS bill. You can also import your historical usage or create net new usage when creating a cost estimate. Additionally, the AWS Pricing Calculator now offers three rate configurations, including an after discounts and commitments view, allowing customers to see how both AWS pricing and volume discounts, as well as existing commitments, impact the total estimated cost of a workload estimate.\n With the new rate configuration inclusive of both pricing discounts and purchase commitments, customers can gain a clearer picture of potential savings and cost optimizations for their cost scenarios. This feature is particularly useful for organizations looking to understand the impact of their existing commitments, such as Savings Plans or Reserved Instances, on their overall AWS costs. Additionally, customers can now export workload estimates directly from the console in both CSV and JSON formats, including resource-level details for estimated and historical costs. This enhancement facilitates easier analysis, sharing, and integration of estimates with internal financial planning tools. The enhanced Pricing Calculator is available in all AWS commercial regions, excluding China. To get started with new Pricing Calculator, visit the AWS Billing and Cost Management Console. To learn more visit the AWS Pricing Calculator user guide.

Amazon EKS introduces configuration insights for Amazon EKS Hybrid Nodes

Today, Amazon Elastic Kubernetes Services (Amazon EKS) announced the general availability of configuration insights for Amazon EKS Hybrid Nodes. These new insights surface configuration issues impacting the functionality of Amazon EKS clusters with hybrid nodes, and provide actionable guidance on how to remediate identified misconfigurations. Configuration insights are available through the Amazon EKS cluster insights APIs and on the observability dashboard in the Amazon EKS console.\n Amazon EKS cluster insights now automatically scans Amazon EKS clusters with hybrid nodes to identify configuration issues impairing Kubernetes control plane-to-webhook communication, kubectl commands like exec and logs, and more. Configuration insights surface issues and provide remediation recommendations, accelerating the time to a fully functioning hybrid nodes setup. Configuration insights for Amazon EKS Hybrid Nodes are available in all AWS Regions where Amazon EKS Hybrid Nodes is available. To get started visit the Amazon EKS User Guide.

Mountpoint for Amazon S3 now lets you automatically mount your S3 buckets using fstab

Mountpoint for Amazon S3 now lets you automatically mount an S3 bucket when your Amazon EC2 instance starts up. This simplifies how you define a consistent mounting configuration that automatically applies when your instance starts up and persists the mount when the instance reboots.\n Previously, to use Mountpoint for Amazon S3, you had to manually mount an S3 bucket after every boot and validate the correct mount options. Now, with support for automatic bucket mounting, you can add your Mountpoint configuration to the fstab file so it is automatically applied every time your instance starts up. Linux system administrators commonly use fstab to manage mount configurations centrally. It contains information about all the available mounts on your compute instance. Once you modify the fstab file to add a new entry for Mountpoint for Amazon S3, your EC2 instance will read the configuration to automatically mount the S3 bucket whenever it restarts. Mountpoint for Amazon S3 is an open source project backed by AWS support, which means customers with AWS Business and Enterprise Support plans get 24/7 access to cloud support engineers. To get started, visit the GitHub page and product overview page.

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