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IAM Policy Simulator moves to the IAM console and adds additional capabilities

AWS Identity and Access Management (IAM) announces a major update to IAM Policy Simulator, the tool you use to test and validate the permissions your IAM policies grant before you deploy them. This update changes the simulator in three ways: it now lives in the IAM console, it can test service control policies (SCPs), and it adds flexibility to model more of the scenarios that security and platform teams simulate in practice.
IAM Policy Simulator is now part of the IAM console, replacing the standalone simulator site, so you can test policies in the same place you manage your identities and policies. You can also now include SCPs in your simulation to test how your organization’s SCP hierarchy interacts with identity and resource policies, and through the API, test how condition keys such as Region restrictions and tag requirements affect the outcome. Finally, new flexibility lets you exclude specific policies to model “what if I remove this policy?” scenarios, and cross-account simulations now report per-policy decisions for identity and resource-based policies, with the matched statements returned for a denied request reflecting only the policies that drove the decision. Together, these changes help teams automate policy unit testing, detect over-permissive access, and validate guardrails with greater confidence.
These features are available in all AWS Regions where IAM Policy Simulator is available. You can access IAM Policy Simulator in the IAM console by choosing Policy simulator in the navigation pane.
To learn more, see the following resources:

Testing IAM policies with the IAM policy simulator
API reference on SimulatePrincipalPolicy and SimulateCustomPolicy

Quelle: aws.amazon.com

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Amazon Redshift RG large and 12xlarge instances now available on the trailing track

Amazon Redshift now supports Graviton-based RG instances on the trailing track. Starting today, rg.large and rg.12xlarge instance types are available for customers running workloads on the trailing track on patch P202 and onwards. The trailing track is designed for customers who prioritize stability for production workloads, running on a version already validated through the leading track. With RG instances now available on both tracks, customers can take advantage of AWS Graviton-powered performance – delivering up to 2.4x faster query performance than RA3 instances at 30% lower price per vCPU. Customers on the trailing maintenance track (patch P202 and later) can now create Amazon Redshift RG clusters in all AWS regions where RG is generally available. To get started, customers can provision a new cluster or resize an existing cluster to an rg.large or rg.12xlarge instance type using the AWS Management Console, AWS CLI, or AWS SDKs.For more information, see Amazon Redshift cluster versions.
Quelle: aws.amazon.com

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AWS Direct Connect now supports BGP route visibility on Virtual Interfaces

AWS Direct Connect now provides Border Gateway Protocol (BGP) route visibility, allowing you to view the routes exchanged between AWS and your on-premises routers across your private, transit, and public virtual interfaces (VIFs). You can now see which routes AWS accepted from your router and which routes AWS is advertising to your router, along with their AS path and BGP community values. This visibility helps network administrators troubleshoot routing issues, verify route propagation, and monitor their hybrid network connectivity.
With this feature, you can view accepted routes (routes AWS received from your router) and advertised routes (routes AWS sends to your router) directly in the Direct Connect console or programmatically using the ListVirtualInterfaceRoutes API action. Each route displays its prefix, address family, AS path, community values, and installation timestamp, giving you comprehensive insight into your routing topology. You can filter routes by prefix, AS path, community, or address family to quickly identify specific routing behaviors. This capability is particularly valuable when managing complex multi-region architectures, validating BGP policy configurations, or diagnosing unexpected traffic patterns.
This feature is available in all AWS commercial Regions and the AWS China Regions (Beijing, operated by Sinnet, and Ningxia, operated by NWCD).
To learn more about BGP route visibility, visit the AWS Direct Connect documentation or access the feature through the Direct Connect console.
 
Quelle: aws.amazon.com

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Amazon SageMaker Unified Studio brings richer Git version control to all project tools

Amazon SageMaker Unified Studio gives project members full Git version control directly within the tools you already use – Query Editor, Visual ETL, Workflows, and Notebooks. The enhanced Repositories experience replaces the previous automatic sync approach with flexible, file-level version control. This brings a consistent source control experience across all project tools, including Notebooks, which previously had no Git support.
You choose exactly which files to track in Git by adding them to a repository on GitHub, GitLab, or Bitbucket – source control is not enforced at the project level, so you decide what gets versioned and when. When you’re ready, you commit and push all your changes in a single action. Repositories are decoupled from project creation, meaning you can add a repository to a project at any point after the project is created, as your needs evolve. Projects can connect to any number of repositories and branches at the same time, and you can create branches, pull updates, and resolve conflicts without ever leaving your project. If you use JupyterLab or Code Editor, you also retain full Git CLI access through the built-in terminal. 
This feature is available in all AWS Regions where Amazon SageMaker Unified Studio is supported, for both IAM and IAM Identity Center domains. If your project uses the previous Git experience, you can opt in to the richer model by updating your project. To get started, see Working with repositories in the User Guide and Configuring Git connections in the Admin Guide.
Quelle: aws.amazon.com

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What customers value most in Microsoft Databases—from reliability to AI readiness

In this article

What customers consistently value Turning customer feedback into innovation Thank you to our customers and community

Every day, customers trust Microsoft Databases to power their most critical applications, business processes, and AI-powered experiences. Continuous customer feedback provides valuable insights into how these technologies perform in production and where we should continue investing.

I’m honored to share that Microsoft Databases have received multiple 2026 PeerSpot Customer Choice / Tech Leader recognitions based on feedback from real practitioners using these technologies in production environments.

This year, PeerSpot recognized:

SQL Server as a Tech Leader in Database Management Systems (DBMS) (#1) and Relational Database Tools (#1)

Azure SQL Database as a Tech Leader in Database as a Service (DBaaS) (#2)

Azure Database for PostgreSQL as a Tech Leader in Open Source Databases (#1)

Azure Cosmos DB as a Tech Leader in Managed NoSQL Databases (#1), NoSQL Databases (#1), and Vector Databases (#1)

Learn more about our PeerSpot awards

Customer feedback across Microsoft Databases consistently highlights five themes: reliability, scalability, operational simplicity, developer productivity, and AI readiness. These are the same priorities shaping our investments across SQL Server, Azure SQL Database, Azure Cosmos DB, and Azure Database for PostgreSQL. The PeerSpot recognition reinforces that customers see value not only in the performance of our databases today, but also in how they are helping organizations prepare for the next generation of AI-powered applications.

What customers consistently value

SQL Server: Trusted reliability for mission-critical workloads

For SQL Server customers, reliability, stability, and long-term data stewardship remain foundational requirements. Organizations continue to rely on SQL Server to support business-critical applications, analytics, and increasingly AI-enabled workflows.

Hemanth Reddy Vakiti, a data engineer at Cognizant, wrote that “The backup and recovery allow us to easily access previous 10 to 15 years of data”, citing SQL Server’s ability to handle large datasets and support secure role-based access.

Another SQL Server reviewer, Isseo Martinez from eGlobal, called out availability and stability, saying “We never have concerns about the database.” For many organizations, that confidence is the foundation for business-critical applications and long-term modernization strategies. 

Explore SQL Server 2025

Azure SQL Database: Simplifying modernization with cloud-scale SQL

Customers regularly tell us they want the reliability and familiarity of SQL Server with the operational simplicity of a fully managed cloud service. Azure SQL Database helps organizations modernize applications, reduce infrastructure management, and scale with confidence.

Fredrick Weinshenk, a cloud engineer at healthcare IT firm Med Tech Solutions, wrote that “The ease of deployment and scalability are significant reasons we push our larger clients to Azure,” and described the platform as “reliable” and “solid.”

That feedback reflects a recurring need we hear from customers: modernize infrastructure, reduce operational burden, and retain the SQL skills, tools, and application patterns their teams already trust.

Explore Azure SQL Database

Azure Database for PostgreSQL: Open-source flexibility with enterprise reliability

Customers choose Azure Database for PostgreSQL because it combines the innovation of the PostgreSQL ecosystem with the operational benefits of a managed service.

Wesley Haakman, a principal architect at IT service provider Intercept, using the service across hundreds of customer scenarios, shared that “[the] organization’s database uptime has improved” and highlighted the ease of integration with other Azure services.

Sathish Palanisamy, data engineer at a large transportation company, said “We’ve used Azure Database for PostgreSQL for four years, benefiting from its performance, scalability, ease of integration, and support, especially during migration from Oracle, while also reducing costs and enabling faster, secure, AI-driven innovation in our airline operations.”

These reviews highlight the value customers place on flexibility, modernization, and a clear path to AI-powered innovation.

Explore Azure Database for PostgreSQL

Azure Cosmos DB: Global scale and performance for modern applications

Customers building modern cloud-native and AI-powered applications consistently point to Azure Cosmos DB’s combination of low latency, elastic scalability, flexible data models, and search performance.

Kunal Mukerjee, former vice president of technology strategy at Docusign, said “Cosmos DB has improved search result quality, throughput, and query latency. There are trade-offs to finding the sweet spot among all of these. Having a NoSQL solution that can do that in a 100 percent Azure shop is the best fit we could want.”

Another customer, Yoni Nijs, CTO of Zero Friction, described using Azure Cosmos DB serverless for a highly unpredictable consumer portal and provisioned throughput with autoscale for a back-office application, noting that the configuration was “… very scalable and still cost-effective.”

These are exactly the patterns AI applications demand: responsive global systems that can adapt to changing demand without sacrificing performance or cost efficiency.

Explore Azure Cosmos DB

Taken together, these reviews reinforce a clear message: organizations want databases that are not only secure and scalable, but also ready for the next generation of intelligent applications.

Turning customer feedback into innovation

The themes customers highlighted are the same themes guiding our investments across the Microsoft Databases portfolio. Our goal is not simply to add new features, but to help customers solve real challenges: modernizing existing applications, building AI-powered experiences, reducing operational complexity, and scaling with confidence.

SQL Server

Relational databases continue to power many of the world’s most critical applications. With SQL Server 2025, we’re helping customers extend those applications into the AI era without changing the platforms, skills, or tools they already trust. Native vector support, in-database embedding generation, semantic search, and retrieval-augmented generation (RAG) capabilities make it easier to build intelligent applications while keeping data secure, governed, and close to operational workloads.

Azure SQL Database

With Azure SQL Database, customers get a fully managed cloud-native SQL solution for modernizing and building AI applications. Azure SQL Database Hyperscale helps applications scale with demand and grow as needs evolve, while automatic tuning and elastic resource management improve performance and cost efficiency. Customers can build AI-powered experiences on operational data with AI retrieval and secure agent connectivity, with integrations across key AI and analytics solutions like Microsoft Foundry and Microsoft Fabric. 

This helps their organization build a direct path from business-critical data to intelligent applications, without compromising the security, governance, and performance they expect from Microsoft’s SQL platforms. 

Azure Database for PostgreSQL

For PostgreSQL on Azure, our investments focus on helping customers modernize faster, accelerate AI development, and run mission-critical workloads with greater confidence. Highlights include the public preview of Azure HorizonDB, bringing AI-native capabilities such as integrated vector search, AI functions, AI pipelines, and model management to PostgreSQL; new migration and upgrade innovations including AI-assisted Oracle-to-PostgreSQL migration tooling; and performance improvements such as Premium SSD v2, cascading read replicas, and new high-performance infrastructure options for Azure Database for PostgreSQL. These innovations are helping organizations adopt AI capabilities while continuing to benefit from PostgreSQL’s open-source ecosystem.

Azure Cosmos DB

For customers building AI-native applications, Azure Cosmos DB investments focus on helping developers move faster while simplifying operations at scale. Recent innovations include enhanced vector and hybrid search, semantic reranking, agent-focused development tools, Global Secondary Indexes, per-partition automatic failover, richer change feed capabilities, and improvements to local development through the Linux Emulator. Together, these investments help developers build responsive, AI-powered applications faster while maintaining performance, resilience, and operational efficiency.

Across the portfolio, our goal is consistent: help customers build applications faster, operate them more efficiently, and prepare for a future where AI is deeply integrated into every application experience.

Thank you to our customers and community

These PeerSpot recognitions belong first and foremost to our customers and community.

Every review, product suggestion, support interaction, preview program discussion, and customer conversation helps shape the direction of Microsoft Databases. Your feedback helps other technology leaders make informed decisions, and it helps our teams build better products.

On behalf of everyone across the Microsoft Databases organization, thank you for your trust, your partnership, and your willingness to share your experiences.

I encourage you to read what your peers are saying, and, if Microsoft Databases are helping your organization innovate, consider sharing your own review.

Microsoft Databases

Modernize or build AI-ready apps with intelligent cloud databases.

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The post What customers value most in Microsoft Databases—from reliability to AI readiness appeared first on Microsoft Azure Blog.
Quelle: Azure