Relevant News - AWS Management Console

Category: Management & Governance

Here are the latest news items for AWS Management Console.

Oracle Database@AWS is now available in the Dublin AWS Region

🌏
Service Availability Change
TL;DR: Oracle Database@AWS now available in Dublin region, enabling Oracle Exadata migration with AWS service integrations.
AWS Services: AWS Key Management Service, AWS CloudWatch, AWS Management Console, AWS Marketplace

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/oracle-database-aws-available-dublin-aws-region/

Oracle Database@AWS is now available in EU-West-1 (Dublin), starting with one Availability Zone (AZ). Oracle Database@AWS enables customers to access database services on Oracle Cloud Infrastructure (OCI) managed Oracle Exadata systems within AWS data centers. As a result, customers can easily migrate their on-premises Oracle Exadata and Oracle Real Application Clusters (RAC) applications to a like-for-like environment on AWS, and also benefit from integrations with AWS services such as AWS Key Management Service (KMS) for data encryption and AWS CloudWatch for monitoring. With expansion to the Dublin region, customers with data residency requirements in that region can migrate their on-premises Oracle Exadata and RAC applications to AWS.

With this expansion, Oracle Database@AWS services are now available in eight Regions: US-East-1 (N. Virginia), US-West-2 (Oregon), US-East-2 (Ohio), CA-Central-1 (Canada Central), EU-Central-1 (Frankfurt), EU-West-1 (Dublin), AP-Northeast-1 (Tokyo), and AP-Southeast-2 (Sydney). To use Oracle Database@AWS services, request a private offer from Oracle through the AWS Marketplace, and use AWS Management Console to setup and use your databases.

To learn more, visit Oracle Database@AWS overview and documentation.

Published: 2026-02-27 08:31:00+00:00

Amazon SageMaker HyperPod now supports API-driven Slurm configuration

🎉
Service Feature Change
TL;DR: Amazon SageMaker HyperPod now supports API-driven Slurm configuration for defining cluster topology and filesystem configurations directly through APIs or Console.
AWS Services: Amazon SageMaker HyperPod, FSx for Lustre, FSx for OpenZFS, AWS Management Console, AWS CLI, AWS CloudFormation, AWS SDKs

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-sagemaker-hyperpod-slurm/

Amazon SageMaker HyperPod now supports API-driven Slurm configuration, enabling you to define Slurm topology and shared filesystem configurations directly in the cluster create and update APIs or through the AWS Console. SageMaker HyperPod helps you provision resilient clusters for running machine learning (ML) workloads and developing state-of-the-art models such as large language models (LLMs), diffusion models, and foundation models (FMs).

With this new API-driven configuration, you can now specify Slurm node types including Controller, Login, and Compute for cluster instance groups; instance group to partition mappings; and FSx for Lustre and FSx for OpenZFS filesystem mounts per instance group directly in the cluster API definition or through the advanced configuration section in the AWS Console. When you modify partition-node mappings directly in Slurm's native configuration files to fine-tune cluster resource assignments, Slurm's partition-node configurations can drift from HyperPod's view. A new cluster-level SlurmConfigStrategy helps you manage drift with three options: Managed, Overwrite, and Merge. The Managed strategy allows you to manage instance group to partition mappings completely via the API or Console, and automatically detects drift in partition-to-node mappings during scale-up or scale-down operations. When drift is detected, cluster updates are paused until you resolve it by switching to the Overwrite strategy to force API-defined mappings, the Merge strategy to preserve manual customizations, or by directly updating Slurm configurations to align with HyperPod.

API-driven Slurm configuration is available in all AWS Regions where SageMaker HyperPod is available. To get started, you can use the AWS Management Console, AWS CLI, AWS CloudFormation, or AWS SDKs. For more information, see the Amazon SageMaker HyperPod documentation for creating clusters using the Console or the CLI, and the API reference for CreateCluster and UpdateCluster.

Published: 2026-02-26 22:58:00+00:00

Amazon ECS Managed Instances now integrates with Amazon EC2 Capacity Reservations

🚀
New Service Feature Introduction
TL;DR: Amazon ECS Managed Instances now integrates with EC2 Capacity Reservations for predictable workload availability and cost efficiency.
AWS Services: Amazon ECS, Amazon Elastic Container Service, Amazon EC2, AWS Management Console, AWS CLI, AWS CloudFormation, AWS SDKs

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/ecs-mi-ec2-capacity-reservations/

Amazon Elastic Container Service (Amazon ECS) Managed Instances now integrates with Amazon EC2 Capacity Reservations, enabling you to leverage your reserved capacity for predictable workload availability, while ECS handles all infrastructure management. This integration helps you balance reliable capacity scaling with cost efficiency, helping achieve high availability for mission‑critical workloads.

Amazon ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead, dynamically scale EC2 instances to match your workload requirements, and continuously optimize task placement to reduce infrastructure costs. With today’s launch, you can configure your ECS Managed Instances capacity providers to use capacity reservations by setting the capacityOptionType parameter to reserved, in addition to the existing spot and on-demand options. You can also specify reservation preferences to optimize cost and availability: use reservations-only to launch EC2 instances exclusively in reserved capacity for maximum predictability, reservations-first to prefer reservations while maintaining flexibility to fall back to on-demand capacity when needed, or reservations-excluded to prevent your capacity provider from using reservations altogether.

To get started, you can use the AWS Management Console, AWS CLI, AWS CloudFormation, or AWS SDKs to configure your ECS Managed Instances capacity provider by choosing capacityOptionType=reserved and providing a capacity reservation group and reservation strategy. This feature is now available in all AWS Regions. For more details, refer to the documentation.

Published: 2026-02-26 22:00:00+00:00

Amazon Cognito enhances client secret management with secret rotation and custom secrets

🎉
Service Feature Change
TL;DR: Amazon Cognito adds client secret rotation and custom client secrets for enhanced security and lifecycle management.
AWS Services: Amazon Cognito, AWS Management Console, AWS Command Line Interface, AWS Software Development Kits, AWS CloudFormation

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-cognito-client-secret-lifecycle/

Amazon Cognito enhances client secret lifecycle management for app clients of Cognito user pools by adding client secret rotation and support for custom client secrets. Cognito helps you implement secure sign-in and access control for users, AI agents, and microservices in minutes, and a Cognito app client is a configuration that interacts with one mobile or web application that authenticates with Cognito. Previously, Cognito automatically generated all app client secrets. With this launch, in addition to the automatically generated secrets, you have the option to bring your own custom client secrets for new or existing app clients. Additionally, you can now rotate client secrets on-demand and maintain up to two active client secrets per app client.

The new client secret lifecycle management capabilities address needs for organizations with periodic credential rotation requirements, companies improving security posture, and enterprises migrating from other authentication systems to Cognito. Maintaining two active secrets per app client allows gradual transition to the new secret without application downtime.

Client secret rotation and custom client secrets are available in all AWS Regions where Amazon Cognito user pools are available. To learn more, see the Amazon Cognito Developer Guide. You can get started using the new capabilities through the AWS Management Console, AWS Command Line Interface (CLI), AWS Software Development Kits (SDKs), or AWS CloudFormation.

Published: 2026-02-26 17:00:00+00:00

Announcing new metal sizes for Amazon EC2 M8gn and M8gb instances

🖥️
New Instance Type Introduction
TL;DR: AWS announces new metal-24xl and metal-48xl sizes for EC2 M8gn and M8gb instances powered by Graviton4 processors.
AWS Services: Amazon EC2, Amazon Elastic Block Store, Elastic Fabric Adapter, AWS Management Console, AWS Command Line Interface, AWS SDKs

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-ec2-m8gn-m8gb-new-metal-sizes/

Today, AWS announces the general availability of metal-24xl and metal-48xl sizes for Amazon Elastic Compute Cloud (Amazon EC2) M8gn and M8gb instances. These instances are powered by AWS Graviton4 processors to deliver up to 30% better compute performance than AWS Graviton3 processors. M8gn instances feature the latest 6th generation AWS Nitro Cards, and offer up to 600 Gbps network bandwidth, the highest network bandwidth among network optimized EC2 instances. M8gb offers up to 300 Gbps of EBS bandwidth to provide higher EBS performance compared to same-sized equivalent Graviton4-based instances.

M8gn and M8gb instances offer instance sizes up to 48xlarge and metal-48xl, with up to 768 GiB of memory. M8gn instances offer up to 600 Gbps of networking bandwidth, up to 60 Gbps of bandwidth to Amazon Elastic Block Store (EBS), and are ideal for network-intensive workloads such as high-performance file systems, distributed web scale in-memory caches, caching fleets, real-time big data analytics, Telco applications such as 5G User Plane Function (UPF). M8gb instances offer up to 300 Gbps of EBS bandwidth, up to 400 Gbps of networking bandwidth, and are ideal for workloads requiring high block storage performance such as high-performance databases and NoSQL databases.

M8gn and M8gb instances support Elastic Fabric Adapter (EFA) networking on 16xlarge, 24xlarge, 48xlarge, metal-24xl, and metal-48xl sizes. EFA networking enables lower latency and improved cluster performance for workloads deployed on tightly coupled clusters.

The new metal-24xl and metal-48xl sizes are available in the AWS US East (N. Virginia) region. 

To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs.

Published: 2026-02-25 16:00:00+00:00

Amazon EC2 M8a instances now available in AWS Europe (Frankfurt) region

🖥️
Instance Type Availability Change
TL;DR: Amazon EC2 M8a instances now available in AWS Europe (Frankfurt) region, offering 30% higher performance than M7a instances.
AWS Services: Amazon EC2, AWS Nitro Cards, AWS Management Console, Savings Plans, On-Demand instances, Spot instances

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-ec2-m8a-instances-europe-frankfurt/

Starting today, the general-purpose Amazon EC2 M8a instances are available in AWS Europe (Frankfurt) region. M8a instances are powered by 5th Gen AMD EPYC processors (formerly code named Turin) with a maximum frequency of 4.5 GHz, deliver up to 30% higher performance, and up to 19% better price-performance compared to M7a instances.

M8a instances deliver 45% more memory bandwidth compared to M7a instances, making these instances ideal for even latency sensitive workloads. M8a instances deliver even higher performance gains for specific workloads. M8a instances are up to 60% faster for GroovyJVM benchmark, and up to 39% faster for Cassandra benchmark compared to Amazon EC2 M7a instances. M8a instances are SAP-certified and offer 12 sizes including 2 bare metal sizes. This range of instance sizes allows customers to precisely match their workload requirements.

M8a instances are built using the latest sixth generation AWS Nitro Cards and ideal for applications that benefit from high performance and high throughput such as financial applications, gaming, rendering, application servers, simulation modeling, mid-size data stores, application development environments, and caching fleets.

To get started, sign in to the AWS Management Console. Customers can purchase these instances via Savings Plans, On-Demand instances, and Spot instances. For more information visit the Amazon EC2 M8a instance page.

Published: 2026-02-24 16:00:00+00:00

Amazon announces generative AI-based artifacts in Amazon Q Developer for visualizing resource and cost data

🚀
New Service Feature Introduction
TL;DR: Amazon Q Developer artifacts now generally available for visualizing AWS resource and cost data with generative AI in Management Console.
AWS Services: Amazon Q Developer, AWS Management Console, Amazon S3, Amazon RDS

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/generative-ai-based-Amazon-Q-artifacts/

Today, AWS announces the general availability of Amazon Q Developer artifacts in the AWS Management Console. Amazon Q artifacts is a generative AI-based user experience that enables customers to visualize resource data in tables and cost data in charts. The launch also moves the Q icon to the navigation bar and the chat panel to the left, making Amazon Q easier to access from anywhere in the AWS Management Console.

Customers can access Amazon Q artifacts by selecting the Amazon Q icon and asking questions about their AWS resources to understand the state of their resources and costs using Amazon Q artifacts. For example, on asking “List S3 buckets with tag value production", Amazon Q displays the S3 buckets that has a tag value of production in a tabular format. Customers can then select the hyperlinks on the bucket name to view the bucket details in the S3 console. Customers can also visualize cost and billing information with charts. For example, on entering "Show me RDS costs by instance type over the last 6 months", Q will render the response in a Q artifacts using a chart (e.g., bar graph, line chart, pie chart, or area chart). Customers can also use sample prompts in the Prompt Library in the Amazon Q chat panel to get started quickly. The artifacts are displayed in an artifact panel to the right of the Amazon Q chat panel. Users can expand Amazon Q to full-screen for a dedicated focus mode experience.

The Amazon Q Developer artifacts are available in all AWS Regions where Amazon Q Developer is available. To get started visit Amazon Q Developer documentation.

Published: 2026-02-23 20:05:00+00:00