Schlecht gelaunte Trekkies überziehen Starfleet Academy mit negativen Bewertungen. Das Phänomen ist im Franchise nicht neu – es ist nur sichtbarer. Von Peter Osteried (Star Trek, Klingonen)
Quelle: Golem
We are almost a century removed from when a group of computer scientists at Dartmouth College coined the term “Artificial Intelligence.” In the 75-year span, AI has become common vernacular, making inroads from imagined to mainstream. Today, we see entire industries being disrupted and entire ecosystems revolutionized by AI. To keep up, the way developers work and the tools they use have had to evolve. Every developer now needs to be an AI developer, and every system—from compute and storage to the data layer—now needs to be AI ready.
The database reimagined
New AI applications require databases that are not only reliable, extensible, and secure, but also AI-ready. In parallel, the way developers build software is being reshaped by AI. 1Most developers—more than 80%—now use AI tools in their workflow. This has led to notable productivity gains and it’s changing expectations for developer experience.
PostgreSQL has emerged as a top choice among developers and is becoming the default starting point for many new applications and projects. Favored by developers for its reliability, extensibility, and rapid innovation, 2PostgreSQL is chosen by 78.6% of developers that are building AI and real-time applications.
PostgreSQL on Azure meets the moment
Selecting the right ecosystem is critical to support your AI and agentic aspirations, and we’ve made great strides in bolstering our PostgreSQL managed services to meet the needs of today’s developer. At Microsoft, we’ve embraced PostgreSQL not just as a product, but as a community. We’re proud to be one of the top contributors to the PostgreSQL open-source project, with more than 500 commits in the latest release. We are continuously innovating to make PostgreSQL the best database for building intelligent applications, and Azure the best place to run them.
Learn about Azure Database for PostgreSQL
The existing Azure Database for PostgreSQL continues to cater to lift-and-shift and new open-source workloads with improved performance and experience, while the new Azure HorizonDB, introduced at Ignite, targets the future by offering a PostgreSQL-compatible cloud service built for scale-out and ultra-low latency. Together, they position Azure to support developers building everything from small apps and agents to AI-powered, mission-critical systems, and anything in between.
A frictionless and intelligent developer experience
Building intelligent applications should feel intuitive, not intimidating. The Microsoft team has invested in making Azure Database for PostgreSQL a frictionless experience, especially for those building AI apps and agents. From provisioning to AI integration and scale, we’ve reimagined the developer experience to remove friction at every step.
Start in the IDE you love
The journey begins in Visual Studio Code—the leader in integrated development environments (IDEs) among developers—by a mile. With our PostgreSQL extension for Visual Studio Code, developers can now provision secure, fully managed PostgreSQL instances on Azure directly from the IDE. No portal hopping or manual setup. Just a few clicks, and your database is ready to go with built-in support for Entra ID authentication and Azure Monitor.
From there, GitHub Copilot becomes your intelligent assistant. It understands your PostgreSQL schema and helps you write, optimize, and debug SQL queries using natural language. Whether you’re joining tables, creating indexes, or exploring performance issues, Copilot is right there with you offering expert-level guidance to save time and improve performance.
Access in-database intelligence for smarter, faster apps
Once your database is live, you’re just a query away from infusing AI into your application. Azure Database for PostgreSQL now supports seamless integration with Microsoft Foundry, enabling developers to invoke pre-provisioned large language models (LLMs) in SQL. You can generate embeddings, classify text, or perform semantic search without leaving the database.
For applications that rely on relevance and speed, our DiskANN vector indexing delivers high-performance similarity search. Combined with semantic ranking, your queries return more accurate results, faster. This is ideal for powering intelligent agents, recommendations, and natural language interfaces.
Build intelligent agents with Microsoft Foundry
When you’re ready to build AI agents, Microsoft Foundry’s native PostgreSQL integration makes it easy. Using the new Model Context Protocol (MCP) server for PostgreSQL, developers can connect PostgreSQL directly to Foundry’s agent framework with a few clicks and permissions. This allows agents to reason over your data, invoke LLMs, and act on insights. And, of course, this is all backed by Azure’s enterprise-grade security and governance.
It’s a powerful combination: PostgreSQL’s structured data, Foundry’s orchestration, and Azure’s AI models working together to deliver intelligent, context-aware applications.
Leverage zero extract, transform, load (ETL) real-time analytics
Intelligent applications thrive on fresh insights. With Azure Database for PostgreSQL, you can mirror your operational data into Microsoft Fabric for real-time analytics without impacting performance. Alternatively, we’ve also enabled support for Parquet via the Azure Storage Extension, letting customers directly read from and write to Parquet files stored in Azure Storage from their Postgres databases, using SQL commands.
This means faster time to insight, fewer moving parts, and more time spent building.
Performance and scale that grows with you
All this intelligence is meaningless if the database isn’t secure and performant. As such, we’ve continued to innovate to unlock better performance and scale to meet the needs of even the most demanding, hypergrowth AI workloads. With PostgreSQL 18 now generally available on Azure, you get faster I/O, improved vacuuming, and smarter query planning. Our new V6 compute SKUs deliver higher throughput and lower latency, while Elastic Clusters enable horizontal scaling for multi-tenant and high-volume workloads.
Whether you’re building a startup MVP or scaling a global AI platform, Azure Database for PostgreSQL is ready to grow with you. Our customers have already been utilizing these new capabilities to build competitive advantage in industries from pharma to finance.
Real-world AI on Azure: How Nasdaq reinvented governance with PostgreSQL
When people think of Nasdaq, they picture trading floors and financial data moving at lightning speed. But behind the scenes, Nasdaq also manages board governance for thousands of organizations, including nearly half of the Fortune 500. At Ignite, Nasdaq shared how they modernized their Boardvantage platform using Azure Database for PostgreSQL and Microsoft Foundry. Their goal: introduce AI to help directors navigate 500-page board packets and extract insights, without compromising security or compliance.The result? A governance platform that uses AI to summarize meeting minutes, flag anomalies, and surface relevant decisions while keeping each customer’s data isolated and protected.
Looking ahead: Azure HorizonDB and the future of intelligent apps
At Ignite, we also introduced Azure HorizonDB, a new, fully managed PostgreSQL-compatible service built for AI-native workloads. With scale-out compute, sub-millisecond latency, and built-in AI features, Azure HorizonDB represents the future of cloud databases. While the service is currently in private preview, it’s a glimpse of what’s coming.
Explore Azure HorizonDB
The future is open, intelligent, and built on Azure
At Microsoft, our mission is to offer customers databases equipped for next-generation development, whether they be SQL, NoSQL, relational, or open source. As PostgreSQL continues to stand out as a platform for innovation, it’s now primed for intelligent applications and agents due to Microsoft’s continued support and service enhancements. Whether you’re a startup building your first AI feature or an enterprise modernizing mission-critical systems, Azure gives you the tools to move faster, build smarter, and scale confidently.
The future of intelligent applications will be written in Postgres, and we’re thrilled to build it together with you on Azure.
Start today
Try the PostgreSQL extension for VS Code
Learn how to build AI agents with Azure Database for PostgreSQL
1Most developers—more than 80%—now use AI tools in their workflow.
2PostgreSQL is chosen by 78.6% of developers that are building AI and real-time applications.
The post PostgreSQL on Azure supercharged for AI appeared first on Microsoft Azure Blog.
Quelle: Azure
AWS Network Firewall has introduced two pricing improvements for customers. The service has added the hourly and data processing discounts on NAT Gateways that are service-chained with Network Firewall secondary endpoints. Additionally, AWS Network Firewall has removed additional data processing charges for Advanced Inspection, which enables Transport Layer Security (TLS) inspection of encrypted network traffic.
Previously, NAT Gateway discounts were limited to primary Network Firewall endpoints, and customers paid additional data processing charges when using Advanced Inspection for TLS inspection in select AWS regions. With these improvements, the NAT Gateway discounts now apply when service-chained with both primary and secondary firewall endpoints. Customers also no longer pay the additional data processing charge for Advanced Inspection that ranged from $0.001/GB to $0.009/GB in 13 AWS regions: Middle East (Bahrain), Asia Pacific (Hong Kong), Asia Pacific (Tokyo), Asia Pacific (Osaka), Asia Pacific (Mumbai), EU (Milan), South America (São Paulo), US West (N. California), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Melbourne).
These changes help to reduce costs for architectures that use Network Firewall’s multiple VPC endpoint capability and TLS inspection features. Multiple VPC endpoints allow you to connect 50 VPCs per Availability Zone to a single Network Firewall, helping to reduce operational complexity and lower costs as you protect more VPCs. By removing additional data processing charges when using Advanced Inspection, customers can now implement TLS inspection more cost-effectively across their network security architecture.
These pricing improvements are available in all AWS regions where Network Firewall is offered and are applied automatically to eligible configurations. No action is required from customers.
To learn more, see AWS Network Firewall pricing and the AWS Network Firewall service documentation.
Quelle: aws.amazon.com
AWS Config now supports 30 additional AWS resource types across key services including Amazon EKS, Amazon Q, and AWS IoT. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available: Resource Types:
AWS::ApplicationSignals::ServiceLevelObjective
AWS::IoT::SoftwarePackage
AWS::ARCZonalShift::AutoshiftObserverNotificationStatus
AWS::IoT::TopicRule
AWS::B2BI::Transformer
AWS::IoTWireless::Destination
AWS::CE::CostCategory
AWS::IoTWireless::DeviceProfile
AWS::CleanRooms::ConfiguredTable
AWS::IoTWireless::NetworkAnalyzerConfiguration
AWS::CleanRooms::Membership
AWS::IoTWireless::TaskDefinition
AWS::CodeArtifact::PackageGroup
AWS::IoTWireless::WirelessGateway
AWS::Connect::Prompt
AWS::Kinesis::ResourcePolicy
AWS::EKS::Nodegroup
AWS::PCAConnectorSCEP::Connector
AWS::GameLift::MatchmakingRuleSet
AWS::QBusiness::Application
AWS::GameLift::Script
AWS::QuickSight::DataSet
AWS::Glue::Crawler
AWS::QuickSight::Dashboard
AWS::InternetMonitor::Monitor
AWS::Route53::DNSSEC
AWS::IoT::BillingGroup
AWS::SSM::PatchBaseline
AWS::IoT::ResourceSpecificLogging
AWS::Transfer::User
Quelle: aws.amazon.com
Amazon Bedrock AgentCore Browser now supports browser profiles, enabling you to reuse authentication state across multiple browser sessions without repeated login flows. This feature reduces session setup time from minutes to tens of seconds for enterprise customers processing hundreds or thousands of automated browser sessions daily.
Browser profiles persist and reuse browser data including cookies and local storage across multiple sessions. You authenticate to a website once and save the session to a browser profile. When you start a new session using that saved profile, your authentication state is preserved, and you remain logged in. This enables agents to perform tasks on authenticated websites without manual login intervention. You can choose flexible session modes for both read-only and persistent operations, enabling parallel processing where multiple sessions use the same profile simultaneously.
This feature is available in all 14 AWS Regions where Amazon Bedrock AgentCore Browser is available: US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Ireland), Europe (London), Europe (Paris), Europe (Stockholm), Asia Pacific (Seoul), and Canada (Central).
To learn more, visit the Browser Profiles documentation.
Quelle: aws.amazon.com
Amazon Elastic Container Service (Amazon ECS) Managed Instances is now available in the AWS European Sovereign Cloud. ECS Managed Instances is a fully managed compute option designed to eliminate infrastructure management overhead while giving you access to the full capabilities of Amazon EC2. By offloading infrastructure operations to AWS, you get the application performance you want and the simplicity you need while reducing your total cost of ownership. Managed Instances dynamically scales EC2 instances to match your workload requirements and continuously optimizes task placement to reduce infrastructure costs. It also enhances your security posture through regular security patching initiated every 14 days. You can simply define your task requirements such as the number of vCPUs, memory size, and CPU architecture, and Amazon ECS automatically provisions, configures and operates most optimal EC2 instances within your AWS account using AWS-controlled access. You can also specify desired instance types in Managed Instances Capacity Provider configuration, including GPU-accelerated, network-optimized, and burstable performance, to run your workloads on the instance families you prefer. To get started with ECS Managed Instances, use the AWS Console, Amazon ECS MCP Server, or your favorite infrastructure-as-code tooling to enable it in a new or existing Amazon ECS cluster. You will be charged for the management of compute provisioned, in addition to your regular Amazon EC2 costs. To learn more about ECS Managed Instances, visit the feature page, documentation, and AWS News launch blog.
Quelle: aws.amazon.com
Amazon WorkSpaces Secure Browser now supports custom domains for your WorkSpaces Secure Browser portals, enabling you to configure portal access through your own domain name instead of the default portal URL. This feature provides users with a more integrated experience using a domain that aligns with your organization’s branding for each secure browser session. As an administrator you simply add the custom domain in the WorkSpaces Secure browser portal and set up a reverse proxy (for example Amazon CloudFront). Once set up, traffic is routed through your reverse proxy to the portal endpoint, and WorkSpaces Secure Browser automatically redirects users to the configured custom domain after authentication and authorization. Authentication can be via AWS Identity Center or your own Identity Provider (IdP), supporting both IdP-initiated and service provider-initiated flows. This feature is available at no additional cost in 10 AWS Regions, including US East (N. Virginia), US West (Oregon), Canada (Central), Europe (Frankfurt, London, Ireland), and Asia Pacific (Tokyo, Mumbai, Sydney, Singapore). WorkSpaces Secure Browser offers pay-as-you go pricing. To get started, visit the Amazon WorkSpaces Secure Browser console to configure your custom domain for your WorkSpaces Secure Browser portal. For more information, see the custom domain section in the Amazon WorkSpaces Secure Browser’s documentation.
Quelle: aws.amazon.com
Elon Musk macht große Ankündigungen zu Weltraumrechenzentren. Bald seien diese günstiger als auf der Erde – und bräuchten viele Starship-Starts. (KI, TSMC)
Quelle: Golem
In der Union wächst der Ruf nach einem Verbot sozialer Medien für jugendliche unter 16. Es sollte ein Mindestalter für die Nutzung geben. (Jugendschutz, Soziales Netz)
Quelle: Golem
Seekabel aus Glasfaser sind im Zentrum russischer Provokationen. Nun wird die EU-Kommission aktiv, doch wo bleiben die EU-Telcos und die US-Hyperscaler? (Seekabel, Internet)
Quelle: Golem
