ADI called a cyclical recovery in the chip market as demand returns. “Against a backdrop of global trade volatility, our performance reflects the ongoing cyclical recovery,” said ADI CEO  Vincent …

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Amazon Relational Database Service (Amazon RDS) Custom for Oracle now supports R7i and M7i instances. These instances are powered by custom 4th Generation Intel Xeon Scalable custom processors, available only on AWS. R7i and M7i instances are available in sizes up to 48xlarge, or 50% larger than the previous generation R6i and M6i instances.

M7i and R7i instances are available for Amazon RDS Custom for Oracle in Bring Your Own License model for Oracle Database Enterprise Edition (EE) and Oracle Database Standard Edition 2 (SE2) . You can modify your existing RDS instance or create a new instance with just a few clicks on the Amazon RDS Management Console or using the AWS SDK or CLI. Visit Amazon RDS Custom Pricing Page for pricing details and region availability.

Amazon RDS Custom for Oracle is a managed database service for legacy, custom, and packaged applications that require access to the underlying operating system and database environment. To get started with Amazon RDS Custom for Oracle, refer the User Guide .

Amazon Aurora for MySQL and Amazon Aurora for PostgreSQL now offer faster Global Database cross-Region switchover, reducing recovery time for read/write operations to typically under 30 seconds and enhancing availability for applications operating at a global scale.

With Global Database, a single Aurora cluster can span multiple AWS Regions, providing disaster recovery from Region-wide outages and enabling fast local reads for globally distributed applications. Global Database cross-Region switchover is a fully managed process designed for planned events such as regional rotations. This launch optimizes the duration during which a writer in your global cluster is unavailable, improving recovery time and business continuity for your applications following cross-Region switchover operations. See documentation to learn more about Global Database Switchover.

To access these improvements for Aurora MySQL, upgrade your cluster to version 3.09 (compatible with MySQL 8.0.40) or higher. For Aurora PostgreSQL, upgrade your cluster to versions 16.8, 15.12, 14.17, 13.20, or higher . Once upgraded, the faster switchover capabilities are automatically available for your cluster without any additional configuration. See upgrading an Amazon Aurora global database guide to learn about upgrading your cluster.

Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. To get started with Amazon Aurora, take a look at our getting started page .

Today, AWS Control Tower introduces a new ‘Enabled controls’ page, helping customers track, filter, and manage their enabled controls across their AWS Control Tower organization. This enhancement significantly improves visibility and streamlines the management of your AWS Control Tower controls, saving valuable time and reducing the complexity of managing enabled controls. For organizations managing hundreds or thousands of AWS accounts, this feature provides a centralized view of control coverage, making it easier to maintain consistent governance at scale.

Previously, to assess the enabled controls coverage, you had to navigate to the organizational unit (OU) or account details page in the console to track the controls deployed per target. With this release, the Enabled controls view centralizes all the enabled controls across your AWS Control Tower environment, giving you a single, unified location to track, filter, and manage enabled controls. With this new feature, you can now more easily identify gaps in your control coverage. For instance, you can quickly search and filter for all enabled preventive controls and verify if they’re applied consistently across critical OUs.

You can drill down by organizational units, behavior, severity and implementation to see exactly which controls are enabled, giving you a targeted visibility into your governance posture across your environment. Lastly, you can also get a pre-filtered list of enabled controls by behavior from the AWS Control Tower dashboard’s Controls summary page.

To benefit from the new Enabled controls view page, navigate to the Controls section in your AWS Control Tower console. To learn more, visit the AWS Control Tower homepage or see the AWS Control Tower User Guide . For a full list of AWS Regions where AWS Control Tower is available, see the AWS Region Table .

Today, AWS HealthImaging announces support for retrieving the metadata for all DICOM instances in a series via a single API action. This new feature extends HealthImaging’s support for the DICOMweb standard, simplifying integrations and improving interoperability with existing applications.

This launch significantly reduces the cost and complexity of retrieving series level metadata, especially when DICOM series contain hundreds or even thousands of instances. With this enhancement, it is easier than ever to retrieve instance metadata with consistent low latency, enabling clinical, AI, and research use cases.

AWS HealthImaging is generally available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland).

AWS HealthImaging is a HIPAA-eligible service that empowers healthcare providers, life sciences researchers, and their software partners to store, analyze, and share medical images at petabyte scale. To learn more, see the AWS HealthImaging Developer Guide .

Amazon Managed Service for Prometheus, a fully managed Prometheus-compatible monitoring service, now provides the capability to identify expensive PromQL queries, and limit their execution. This enables customers to monitor and control the types of queries being issued against their Amazon Managed Service for Prometheus workspaces.

Customers have highlighted the need for tighter governance controls for queries, specifically around high cost queries. You can now monitor queries above a certain Query Samples Processed (QSP) threshold, and log those queries to Amazon CloudWatch. The information in the vended logs allows you to identify expensive queries. The vended logs contain the PromQL query and metadata about where it originated from, such as from Grafana dashboard IDs or alerting rules.
In addition, you can now set warning or error thresholds for query execution. To control query cost, you can pre-empt the execution of expensive queries by providing an error threshold in the HTTP headers to the QueryMetrics API . Alternatively, by setting a warning threshold, we return the query results, charge you for the QSP, and return a warning to the end-user that the query is more expensive than the limit set by your workspace administrator.

This feature is now available in all regions where Amazon Managed Service for Prometheus is generally available .

To learn more about Amazon Managed Service for Prometheus collector, visit the user guide or product page .
 

The next generation of Anthropic’s Claude models, Claude Opus 4 and Claude Sonnet 4, are now available in Amazon Bedrock, representing significant advancements in AI capabilities. These models excel at coding, enable AI agents to analyze thousands of data sources, execute long-running tasks, write high-quality content, and perform complex actions. Both Opus 4 and Sonnet 4 are hybrid reasoning models offering two modes: near-instant responses and extended thinking for deeper reasoning.

Claude Opus 4: Opus 4 is Anthropic’s most powerful Claude model to date and Anthropic’s benchmarks show it is the best coding model available, excelling at autonomously managing complex, multi-step tasks with accuracy. It can independently break down abstract projects, plan architectures, and maintain high code quality throughout extended tasks. Opus 4 is ideal for powering agentic AI applications that require uncompromising intelligence for orchestrating cross-functional enterprise workflows or handling a major code migration for a large codebase.

Claude Sonnet 4: Sonnet 4 is a midsize model designed for high-volume use cases and can function effectively as a task-specific sub-agent within broader AI systems. It efficiently handles specific tasks like code generation, search, data analysis, and content synthesis, making it well suited for production AI applications requiring a balance of quality, costeffectiveness, and responsiveness.

You can now use both Claude 4 models in Amazon Bedrock. To get started, visit the Amazon Bedrock console. Integrate it into your applications using the Amazon Bedrock API or SDK. For more information including region availability, see the AWS News Blog , Anthropic’s Claude in Amazon Bedrock product page, and the Amazon Bedrock pricing page.
 

AWS HealthImaging announces rich hierarchical search per the DICOMweb QIDO-RS standard as well as an improved data management experience. With this launch, HealthImaging automatically organizes image sets into DICOM Study and Series resources. Incoming DICOM SOP instances are automatically merged to the same DICOM Series.

Rich DICOMweb QIDO-RS search capabilities make it easier to find and retrieve data, enabling customers to focus more on empowering end users and less on infrastructure management. HealthImaging’s automatic organization of data by DICOM Studies and Series makes it easier for healthcare and life sciences customers to manage their data at scale by eliminating the need for post-import workflows, saving time and reducing complexity. This helps customers more efficiently organize data and better resolve any inconsistencies. This launch also delivers significant reductions in the last byte latency of DICOMweb WADO-RS APIs, and faster import of large instances (such as digital pathology whole slide imaging).

AWS HealthImaging is generally available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Sydney), and Europe (Ireland).

AWS HealthImaging is a HIPAA-eligible service that empowers healthcare providers, life sciences researchers, and their software partners to store, analyze, and share medical images at petabyte scale. To learn more, see the AWS HealthImaging Developer Guide .

EC2 Public DNS names can now resolve to IPv6 Global Unicast Address (AAAA record) associated with your EC2 instances and Elastic Network Interfaces (ENI). This allows customers to publicly access their IPv6-enabled Amazon EC2 instances over IPv6, using EC2 Public DNS names.

Prior to this, EC2 Public DNS name resolved to the Public IPv4 address (A record) associated with the primary ENI of the instance. So, customers adopting IPv6, used the specific IPv6 address instead of a DNS name to access an IPv6-only Amazon EC2 instance, or used a custom domain by creating a hosted zone using Amazon Route 53. IPv6 support for EC2 Public DNS names allows customers to easily access their IPv6-only Amazon EC2 instances, or formulate a migration plan that allows them to access a dual stack instance via IPv6, with a simple DNS cut over.

This feature is available in all AWS commercial and AWS GovCloud (US) Regions, and customers can set IPv6 support for EC2 Public DNS using the same VPC settings that customers use to enable IPv4-only EC2 Public DNS name today. To learn more about using IPv6 support for EC2 Public DNS name, please refer to our documentation .
 

This looks an interesting book: Our Robotics Future. Basically, it considers the world of automation, and what the future means for businesses, workers and consumers.

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