8/11/2025, 12:00:00 AM ~ 8/12/2025, 12:00:00 AM (UTC)
Recent Announcements
Amazon SageMaker HyperPod now provides a new cluster setup experience
SageMaker HyperPod now provides a new cluster creation experience that sets up all the resources needed for large-scale AI/ML workloads—including networking, storage, compute, and IAM permissions in just a few clicks. SageMaker HyperPod clusters are purpose-built for scalability and resilience, designed to accelerate large-scale distributed training and deployment of complex machine learning models like LLMs and diffusion models, as well as customization of Amazon Nova foundation models.\n The new cluster creation experience for SageMaker HyperPod introduces both quick and custom setup paths that make it easier for both beginners and advanced AWS customers to get started. Previously, customers needed to manually configure networking, IAM roles, storage, and compute. With the new quick setup, model builders, who may not have AWS infrastructure expertise, can now launch a fully-operational cluster optimized for large-scale AI workloads in just a few clicks using a streamlined single-page interface that provisions all dependencies including VPCs, subnets, FSx storage, EKS/Slurm orchestrator, and essential (k8s) operators. For platform engineering teams who may want to modify the default settings, the custom setup path provides full control over every configuration—from specific subnet configurations to selective operator installations—from within the same console experience. Teams can also export an auto-generated CloudFormation template for repeatable production deployments. You can create clusters using either the AWS Console or CloudFormation in all AWS Regions where SageMaker HyperPod is supported. To learn more, see the user guide.
Amazon Connect Outbound Campaigns now supports account-based campaigns, allowing you to reach multiple people associated with the same account. For example, when calling about a joint bank account, if the first person is unavailable, the system automatically tries to reach other authorized members of the account. You can also define a prioritized contact sequence across multiple phone numbers, for example, mobile first, then home, then work. If the first number is unreachable, Connect will automatically try the next number in the sequence.\n Previously, campaigns targeted one profile and retried a single phone number. With these updates, you can target multiple profiles within the same campaign, enabling outreach to all associated contacts in an account. You can also configure fallback phone numbers within each profile, automatically moving to the next preferred phone number if the first attempt is unsuccessful. Together, these capabilities help you create more flexible and effective engagement workflows that improve right-party contact rates and simplify campaign management. This feature is available in all AWS Regions where Amazon Connect Outbound Campaigns is supported. To get started, refer to the Amazon Connect Customer Profiles documentation to learn how to ingest customer data, and the Outbound Campaigns documentation for guidance on creating campaigns..
Amazon RDS for Oracle now supports July 2025 Spatial Patch Bundle
Amazon Relational Database Service (Amazon RDS) for Oracle now supports the Spatial Patch Bundle (SPB) for the July 2025 Release Update (RU) for Oracle Database version 19c. This update delivers important fixes for Oracle Spatial and Graph functionality, helping ensure reliable and optimal performance for your spatial operations.\n You can now create new DB instances or upgrade existing ones to engine version ‘19.0.0.0.ru-2025-07.spb-1.r1’. The SPB engine version will be visible in the AWS Console by selecting the “Spatial Patch Bundle Engine Versions” checkbox in the engine version selector, making it simple to identify and implement the latest spatial patches for your database environment. To learn more about Oracle SPBs supported on Amazon RDS for each engine version, see the Amazon RDS for Oracle Release notes. For more information about the AWS Regions where Amazon RDS for Oracle is available, see the AWS Region table.
Amazon RDS for Oracle now supports the July 2025 Release Update (RU)
Amazon Relational Database Service (Amazon RDS) for Oracle now supports the July 2025 Release Update (RU) for Oracle Database versions 19c and 21c. These RUs include bug and security fixes and are available for RDS for Oracle Standard Edition 2 and Enterprise Edition. Review the Oracle release notes for July RU for details.\n We recommend upgrading to this RU as it includes security fixes. You can upgrade with just a few clicks in the Amazon RDS Management Console or by using the AWS SDK or CLI. You can also enable auto minor version upgrade (AmVU) to automatically upgrade your database instances. Learn more about upgrading your database instances from the Amazon RDS User Guide. This new minor version is available in all AWS regions where Amazon RDS for Oracle is available. See Amazon RDS for Oracle Pricing for pricing details and regional availability.
AWS IoT Core introduces DeleteConnection API to streamline MQTT connection management
AWS IoT Core now offers the DeleteConnection API, enabling programmatic disconnection of MQTT clients using their client IDs. This new capability helps enable developers to terminate MQTT connections with options to clear persistent sessions and suppress publication of Last Will and Testament messages—messages that the MQTT broker automatically publishes on a client’s behalf when it disconnects unexpectedly. Upon disconnection, the service generates lifecycle events, providing enhanced operational visibility into device connection states.\n The DeleteConnection API helps developers manage device connectivity more effectively, whether redirecting devices across endpoints, troubleshooting connection issues, or handling problematic device behavior. The DeleteConnection API is now available in all AWS Regions where AWS IoT Core is supported. To learn more, visit the AWS IoT Core documentation and AWS IoT Core API reference guide.
AWS Blogs
AWS News Blog
AWS Cloud Financial Management
AWS Cloud Operations Blog
AWS Database Blog
- Scaling transaction peaks: Juspay’s approach using Amazon ElastiCache
- How Wiz achieved near-zero downtime for Amazon Aurora PostgreSQL major version upgrades at scale using Aurora Blue/Green Deployments
AWS for Industries
- AI-powered patient profiles using AWS HealthLake and Amazon Bedrock
- Federated learning-based protein language models with Apheris on AWS
Artificial Intelligence
- Demystifying Amazon Bedrock Pricing for a Chatbot Assistant
- Fine-tune OpenAI GPT-OSS models on Amazon SageMaker AI using Hugging Face libraries