AWS Elastic Beanstalk AI-powered environment analysis now supports Windows

AWS Elastic Beanstalk AI-powered environment analysis is now available on Windows Server platforms. Previously available on Amazon Linux 2 and AL2023, this feature now extends to Windows-based environments, enabling you to quickly identify root causes and get recommended solutions for environment health issues. Elastic Beanstalk collects recent events, instance health, and logs from your Windows environment and sends them to Amazon Bedrock for analysis. With this expansion, developers and operations teams running .NET applications and other Windows workloads on Elastic Beanstalk can now diagnose and resolve environment issues faster without manually reviewing logs and events. You can request an AI analysis from the Elastic Beanstalk console using the AI Analysis button or using the AWS CLI with the RequestEnvironmentInfo and RetrieveEnvironmentInfo API operations. The analysis provides step-by-step troubleshooting recommendations tailored to your Windows environment’s current state.
AI-powered environment analysis is available in all AWS Regions where both AWS Elastic Beanstalk and Amazon Bedrock are available. For more information about the AI-powered environment analysis and for a full list of supported platform versions, see the Elastic Beanstalk developer guide. To learn more about Elastic Beanstalk, visit the Elastic Beanstalk product page.
Quelle: aws.amazon.com

Second-generation AWS Outposts racks now supported in the AWS Asia Pacific (Seoul, Sydney) and Europe (Paris) Regions

Second-generation AWS Outposts racks are now supported in the AWS Asia Pacific (Seoul, Sydney) and Europe (Paris) Regions. Outposts racks extend AWS infrastructure, AWS services, APIs, and tools to virtually any on-premises data center or colocation space for a truly consistent hybrid experience. Organizations from startups to enterprises and the public sector in and outside of South Korea, Australia, and France can now order their Outposts racks connected to this new supported region, optimizing for their latency and data residency needs. Outposts allows customers to run workloads that need low latency access to on-premises systems locally while connecting back to their home Region for application management. Customers can also use Outposts and AWS services to manage and process data that needs to remain on-premises to meet data residency requirements. This regional expansion provides additional flexibility in the AWS Regions that customers’ Outposts can connect to. To learn more about second-generation Outposts racks, read this blog post and user guide. For the most updated list of countries and territories and the AWS Regions where second-generation Outposts racks are supported, check out the Outposts rack FAQs page.
Quelle: aws.amazon.com

Attributed Revenue Dashboard Now Available in AWS Partner Central

Today, AWS announces the launch of the Attributed Revenue dashboard in AWS Partner Central in the AWS Console, giving Partners self-service visibility into the revenue impact of their solutions as measured by Partner Revenue Measurement. The dashboard displays aggregated monthly attributed revenue by Partner product, AWS service, and billing period. It provides consolidated insights from all three Partner Revenue Measurement capabilities—Resource Tagging, User Agent string, and AWS Marketplace Metering—in a single view.
Partners who implement Partner Revenue Measurement can now access the Attributed Revenue Dashboard through Partner Analytics to view monthly consumption patterns, monitor revenue trends over time, and verify that their implementation is actively measuring AWS service consumption driven by their solutions. Partners with multiple AWS Marketplace seller accounts can connect subsidiary accounts to see aggregated revenue across all connected accounts.
The Attributed Revenue Dashboard is available in all commercial regions for Partners that have migrated to AWS Partner Central in the AWS Console. To learn more about Partner Revenue Measurement, review the onboarding guide.
Quelle: aws.amazon.com

Amazon SageMaker supports notebooks and data agent for IdC domains

Amazon SageMaker Unified Studio now supports serverless notebooks with a built-in data agent for AWS IAM Identity Center (IdC) domains. Previously, the notebook experience and data agent were available only in IAM domains. With this launch, customers who use IdC for authentication and access management can access the high-performance, serverless notebook environment for analytics and machine learning (ML) workloads.
The serverless notebook gives data engineers, analysts, and data scientists one place to perform SQL queries, execute Python code, process large-scale data jobs, run ML workloads, and create visualizations. A built-in AI data agent accelerates development by generating code and SQL statements from natural language prompts and guides users through their tasks. Customers can flexibly combine SQL, Python, and natural language within a single interactive workspace, removing the need to switch between different tools based on the workload. For example, you can start with SQL queries to explore your data, use Python for advanced analytics or to build ML models, or use natural language prompts to generate code automatically. The notebook is backed by Amazon Athena for Apache Spark, scaling from interactive SQL queries to petabyte-scale data processing.
You can use the SageMaker notebook and data agent features in all AWS Regions where Amazon SageMaker Unified Studio is supported. To learn more, see the SageMaker notebooks user guide and the SageMaker data agent user guide. 
Quelle: aws.amazon.com

Introducing Azure Accelerate for Databases: Modernize your data for AI with experts and investments

In this article

Database modernization: Why now?Why Azure Accelerate for Databases? What you can do with Azure Accelerate for Databases Unlock savings and investments Get started with Azure Accelerate for Databases

Database modernization: Why now?

We consistently hear common realities from leaders: data infrastructure is a critical accelerator for AI adoption, and many organizations haven’t been able to fully realize the value of their data. 60% of AI projects unsupported by AI-ready data will be abandoned.1 Modernization is a key enabler of AI readiness, with 75% of organizations that migrated to Azure reporting significantly reduced barriers to AI and machine learning.2

This highlights a clear opportunity. Organizations that modernize with fully managed, AI-optimized databases can unlock faster performance, real-time insights, and the ability to build intelligent applications and agents at scale.

Today, I am excited to introduce Azure Accelerate for Databases—an offering designed to help organizations modernize their databases and build AI‑ready capabilities on Azure, faster and with greater confidence. Save up to 35% (vs. pay-as-you-go) with the savings plan for databases, receive delivery funding and Azure credits, and benefit from zero-cost delivery support. Azure Accelerate for Databases brings together expert guidance, investments, savings, and skilling into a single offering, helping teams move from legacy constraints to systems ready to support real-time, intelligent applications. 

Explore Azure Accelerate for Databases

Why Azure Accelerate for Databases?

Azure Accelerate for Databases is built for organizations modernizing at scale while preparing both their platforms and teams for what comes next. Modernization initiatives are often complex, requiring time, investment, and coordination across teams, while legacy environments can leave data fragmented and difficult to operationalize for AI.

Azure Accelerate for Databases is designed to simplify this journey. It brings together Microsoft Cloud Accelerate Factory delivery support, Azure specialized partner expertise, flexible savings and investments, AI-enhanced tooling and assessments, and role-based skilling into a cohesive experience.

The goal is straightforward: to help organizations move faster, reduce friction, and turn database modernization into a durable, AI-enabling strategy.

What you can do with Azure Accelerate for Databases

With Azure Accelerate for Databases, customers can:

Access trusted experts

Modernization outcomes depend on execution as much as strategy. With the right expertise in place, organizations can reduce risk and move forward with greater confidence.

Engage with Microsoft’s Cloud Accelerate Factory for zero-cost delivery support.3

Tap into Azure’s specialized partner ecosystem for deep technical and industry expertise.

Use assessments and AI-enhanced tooling to guide modernization and new development.

Unlock savings and investments

This removes financial barriers so customers can modernize faster, with more predictable economics and more flexibility to keep momentum as needs evolve.

Access savings up to 35% (vs. pay-as-you-go) with Savings Plan for Databases.

Advance your project with delivery funding.

Lower initial costs with Azure credits.4

How the Savings Plan for Databases works

The savings plan for databases5 offers a flexible, spend-based pricing model that adapts to evolving database needs. Customers commit to a fixed hourly spend, and savings are automatically applied to the most valuable usage each hour on select services. This helps reduce the complexity of managing multiple reservations and supports scaling without managing individual SKUs, regions, or configurations. When usage exceeds the commitment, pay-as-you-go pricing applies—helping costs remain predictable as usage grows.

Empower skilled teams

Modernization succeeds when teams can operate and innovate confidently. This helps organizations build durable capability—not just complete a project.

Build capable and confident teams with free, on-demand, self-paced skilling content.

Grow skills with on‑demand, expert‑led training.

Cultivate technical specialization with 50% discounts on certification exams.6

One example is Thomson Reuters, which modernized its tax preparation platform by migrating more than 18,000 databases, totaling over 500 terabytes of data, to Azure SQL Managed Instance. The goal was not only to address performance and scalability challenges during peak tax season, but to establish a more resilient and reliable data foundation for the future.

Running on Azure has helped improve application performance and scalability for 7,000 tax firms and 70,000 users. With a modern, fully-managed platform in place, Thomson Reuters is now better positioned to scale services and support continued innovation. The migration was accelerated through Microsoft’s Cloud Accelerate Factory, the zero-cost delivery benefit of Azure Accelerate, which provided hands-on engineering support, automation, and structured execution to help reduce risk and streamline the transition at scale.

Azure Accelerate for Databases is designed to support this kind of modernization progress, so they can build a stronger data foundation for AI.

Get started with Azure Accelerate for Databases

Modernizing your database estate is a critical step in preparing for AI. Azure Accelerate for Databases is designed to make that step more achievable by bringing together the resources, expertise, and investments needed to move forward with confidence.

To learn more, visit the Azure Accelerate for Databases page and explore savings, as well as access expert-led resources.

Join us at the Migrate & Modernize Summit (April 23 and on demand) to learn more about modernizing your database estate.

For more details, connect with your Microsoft account team.

Get expert-led resources for modernizing your database estate

1Lack of AI-Ready Data Puts AI Projects at Risk

2The Total Economic Impact™ Of Migrating To Microsoft Azure For AI-Readiness. Commissioned study.

3Zero‑cost delivery support for eligible customers through Microsoft‑funded programs. Availability and eligibility criteria apply.

4Eligible customers may receive delivery funding (for partner-led services) and Azure credits through approved Azure Accelerate programs. Funding is subject to application, project scope, and regional availability.

5Customers may see savings estimated to be between 0% and 35%. The 35% savings estimate is based on one Azure SQL Database serverless running for 12 months at a pay-as-you-go rate versus a reduced rate for a 1-year savings plan. Based on Azure pricing as of March 2026. Prices are subject to change. Actual savings may vary based on location, database service, and/or usage.

6Skilling benefits are subject to eligibility, approval, and availability.
The post Introducing Azure Accelerate for Databases: Modernize your data for AI with experts and investments appeared first on Microsoft Azure Blog.
Quelle: Azure