Azure IaaS series: Explore new resources for building a stronger, more efficient infrastructure

Why a modern cloud infrastructure foundation is critical to your business

Infrastructure has always been foundational to running business-critical cloud workloads; but today, it has become a strategic driver of innovation, resilience, and growth. As organizations accelerate digital transformation, infrastructure decisions increasingly shape how quickly teams can adopt AI, how reliably applications operate at global scale, and how effectively businesses respond to constant change.

To help customers navigate this shift, we’re introducing the Azure IaaS (Infrastructure as a Service) Resource Center: a centralized destination that brings together guidance, resources, demos, architectures, and best practices to support infrastructure design, optimization, and operations across compute, storage, and networking.

How does IaaS provide scalable cloud infrastructure?

AI adoption is accelerating faster than most organizations can operationalize it, with the pace and complexity of this shift becoming unprecedented. Applications are becoming more distributed and data intensive, while expectations for performance, availability, and security continue to rise. At the same time, leaders face growing pressure to optimize costs and ensure infrastructure investments align to tangible business outcomes.

These pressures are showing up in real, day-to-day infrastructure decisions:

Designing for continuity as environments grow more distributed and interdependent.

Strengthening security and compliance in an increasingly sophisticated threat landscape.

Achieving the performance required for data-intensive, latency-sensitive, and AI-driven workloads.

Keeping infrastructure flexible as workload patterns evolve and business priorities change.

Optimizing spend while ensuring infrastructure decisions are aligned with actual workload requirements.

This is exactly where a more intentional infrastructure strategy becomes critical. What has changed is not just the scale of infrastructure, but the need for system-level design across compute, storage, and networking. Infrastructure can no longer be optimized in isolation or managed reactively. It must operate as a cohesive platform, where performance, resiliency, security, scalability, and cost efficiency reinforce one another.

Azure IaaS has been designed for this reality, providing the foundation to run your most important cloud workloads today, while giving you the flexibility to adapt as needs evolve. To help organizations navigate this shift with clarity and confidence, the new Azure IaaS Resource Center offers a centralized destination to explore the guidance, resources, demos, architectures, and best practices needed to design, optimize, and operate infrastructure with confidence across every layer of the stack.

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A modern infrastructure platform engineered for performance, security, and global scale

Azure IaaS brings together a comprehensive portfolio of compute, storage, and networking services to support a wide range of workloads, from: line-of-business applications and databases to analytics platforms, AI training clusters, and global consumer applications.

Built with a system-level approach, Azure IaaS unifies specialized hardware, intelligent software, high-capacity networking, and platform orchestration to deliver consistent performance, strong security protections, and flexible scaling. Backed by more than 70 regions worldwide, a private global fiber backbone, hardware acceleration, integrated resiliency, and multilayer security, Azure provides an infrastructure foundation ready for modern and future business demands.

Resilient by design to help keep your business running

Azure’s infrastructure is built from the ground up for resilience, ensuring applications remain available even when the unexpected occurs. With a broad portfolio of infrastructure options spanning zonal redundancy, regional redundancy, and globally distributed architectures, organizations can architect for continuity at every layer.

Azure’s compute, storage, and networking platforms are engineered to withstand failure through intelligent load balancing, fast failover mechanisms, and integrated data protection. This resilient foundation empowers organizations to operate with confidence, whether running mission-critical systems that demand continuous uptime or scaling AI-driven applications that cannot tolerate disruption.

By combining proactive fault isolation, automated recovery, and multilayer redundancy, Azure IaaS helps organizations maintain operations through outages, recover rapidly, and safeguard the business against uncertainty.

With Azure, resilience isn’t an addon; it’s the architecture that helps your infrastructure keep pace with your most ambitious goals.

High-performance Azure IaaS for your most demanding workloads—from databases to AI clusters

With a comprehensive portfolio of Azure Virtual Machine series—including memory-optimized, compute-optimized, GPU-accelerated, and storage-optimized options—customers can match infrastructure precisely to their workload needs, whether running mission-critical databases or training advanced AI models. The latest VM families leverage cutting-edge processors and high-speed networking, enabling ultra-low latency and massive throughput for data-intensive and AI-driven applications. This flexibility empowers organizations to match their infrastructure choices to their specific workload needs, harnessing the same platform for both everyday business operations and the most demanding AI workloads. As a result, Azure IaaS provides the foundation for innovation to help ensure your infrastructure keeps pace with your boldest goals.

Built-in security and compliance on Azure IaaS to help reduce risk

Security on Azure IaaS is a top priority; engineered into the platform across compute, storage, and networking. From the underlying hardware to the workloads it supports, Azure applies a defense-in-depth approach designed to protect infrastructure as threats continue to evolve.

At the foundation, Azure security includes secure supply chain practices, a rigorous secure development lifecycle (SDL), encryption, and identity and access management with Microsoft Entra ID.

Networking security helps reduce exposure through isolation, segmentation, and private connectivity, using virtual networks, Network Security Groups, and Private Link to limit public access. Services such as Azure Firewall and DDoS Protection add protection and control at scale.

Storage security enforces encryption by default, provides identity-based access controls, and includes safeguards such as soft delete, versioning, and immutability to reduce the risk of loss or tampering.

Compute security is rooted in hardware-based trust, starting with server-level secure boot and attestation, VM-level capabilities like Trusted Launch, secure VM boot, and a virtual Trusted Platform Module, and Azure confidential computing to help protect workloads and sensitive data in use.

Together, these integrated protections help organizations reduce risk, meet compliance requirements, and run critical infrastructure securely—without slowing innovation.

Scale infrastructure with flexibility to support changing workload needs

Modern workloads place uneven and evolving demands on infrastructure. Capacity must expand quickly, scale independently across layers, and extend globally.

Azure IaaS enables this flexibility by providing extensive solutions to scale compute, storage, and networking independently based on actual workload requirements. Teams can compute vertically by increasing VM sizes and performance levels, or horizontally by intelligently distributing workloads across multiple VM types, availability zones, and regions. Storage capacity and performance can be adjusted separately to support data growth and throughput needs, while high-capacity networking enables low-latency connectivity across distributed environments.

With more than 70 regions worldwide, Azure IaaS provides a variety of solutions that supports geographic expansion and proximity to users and data. Azure IaaS continues to innovate on deployment and capacity management solutions that provide users with increased scalability and decreased overhead. Global networking and region-to-region connectivity make it possible to scale applications while maintaining consistent performance and availability.

Together, elastic infrastructure, global reach, and adaptive architectural patterns help organizations expand capacity, respond to demand shifts, and support growth.

Build a cost-efficient cloud infrastructure strategy with Azure IaaS

Cost optimization in the cloud is about reducing spend while making informed infrastructure decisions that balance efficiency, performance, and business value. As workloads grow more complex and data-intensive, organizations are looking not only to lower costs, but to ensure every dollar invested in infrastructure delivers measurable impact.

Azure IaaS is designed to support this balance. It gives organizations the flexibility to optimize costs based on real workload requirements; whether that means right-sizing compute resources, aligning storage performance to actual usage, or selecting networking options that meet throughput needs without overprovisioning. By matching infrastructure capabilities to demand, teams can reduce unnecessary spend, while maintaining the performance and reliability their applications require.

Optimal cost efficiency on Azure is not a one-time exercise either. Built-in tooling and guidance help teams continuously evaluate usage patterns, identify inefficiencies, and adapt as workloads evolve. Flexible pricing options such as reservations and savings plans enable predictable cost control for steady-state workloads, while elastic scaling models support dynamic environments where demand fluctuates.

Azure IaaS also helps organizations optimize costs by reducing operational overhead. Managed services, automation, and integrated monitoring simplify infrastructure management, allowing teams to focus on improving utilization and performance rather than managing complexity. For organizations modernizing or migrating workloads, Azure provides purpose-built tools that help transition data and applications efficiently; creating opportunities that reduce long-term costs, while improving operational consistency.

Whether supporting core business systems, scaling global applications, or enabling AI innovation, with Azure IaaS you can reduce costs, improve price-performance, and continuously optimize infrastructure investments. Cost efficiency becomes not a constraint on innovation, but a foundation that enables it.

Your infrastructure for the AI era starts with Azure

AI is changing the demands placed on infrastructure. Teams are moving beyond experimentation to operationalizing AI across the business: training models, running inference at scale, and integrating AI into line-of-business applications and decision workflows. That shift requires more than raw computing power. It depends on an infrastructure platform that can deliver the right combination of performance, resiliency, security, scalability, and cost efficiency—together.

Azure IaaS is designed to support the full spectrum of AI workloads, helping organizations bring AI workloads closer to users and data—reducing latency and improving responsiveness. With integrated resiliency capabilities and multi-layered security, Azure supports the continuity and protection required for business-critical AI scenarios. And with flexible infrastructure choices and optimization models, organizations can scale AI responsibly while maintaining control over spend.

As AI requirements evolve quickly, the ability to make infrastructure decisions with clarity matters. The Azure IaaS Resource Center can help you navigate those decisions to connect the guidance, best practices, and practical resources needed to move from planning to production with confidence.

Build confidently, run efficiently, and innovate boldly with Azure IaaS

Whether you’re modernizing mission-critical systems, supporting global applications, optimizing hybrid and multi-cloud environments, or preparing your organization for AI innovation, Azure IaaS provides the trusted infrastructure platform to help you move forward—without trading off performance, resiliency, security, scalability, or cost efficiency.

The Azure IaaS Resource Center is your central destination to explore best practices, learn from experts, and find the right guidance for every stage of your infrastructure journey across compute, storage, and networking.

Build in the cloud with Azure
Visit the Azure IaaS Resource Center to start building a stronger, more efficient infrastructure today.

Get started with Azure

The post Azure IaaS series: Explore new resources for building a stronger, more efficient infrastructure appeared first on Microsoft Azure Blog.
Quelle: Azure

Amazon EC2 I8ge instances now generally available in Europe (Ireland) AWS region.

Amazon Web Services (AWS) announces the availability of Amazon EC2 I8ge instances in Europe (Ireland) AWS region. Designed for large storage I/O intensive workloads, these new instances are powered by 5th generation Intel Xeon Scalable processors with an all-core turbo frequency of 3.2 GHz, offering up to 40% better compute performance and 20% better price performance over existing I3en instances. I8ge instances offer up to 120TB local NVMe storage density—the highest available in the cloud for storage optimized instances—and deliver up to twice as many vCPUs and memory compared to prior generation instances. Powered by 3rd generation AWS Nitro SSDs, these instances achieve up to 65% better real-time storage performance, up to 50% lower storage I/O latency, and 65% lower storage I/O latency variability compared to I3en instances. Additionally, the 16KB torn write prevention feature, enables customers to eliminate performance bottlenecks for database workloads. I8ge instances are high-density storage-optimized instances, for workloads that demand rapid local storage with high random read/write performance and consistently low latency for accessing large data sets. These versatile instances are offered in eleven different sizes including 2 metal sizes, providing flexibility to match customers computational needs. They deliver up to 180 Gbps of network performance bandwidth, and 60 Gbps of dedicated bandwidth for Amazon Elastic Block Store (EBS), ensuring fast and efficient data transfer for the most demanding applications. To begin your Graviton journey, visit the Level up your compute with AWS Graviton page. To get started, see AWS Management Console, AWS Command Line Interface (AWS CLI), and AWS SDKs. To learn more, visit the I8ge instances page.
Quelle: aws.amazon.com

Database Savings Plans now supports Amazon OpenSearch Service and Amazon Neptune Analytics

Today, AWS announces expanded coverage for Database Savings Plans, with support for Amazon OpenSearch Service and Amazon Neptune Analytics. With Database Savings Plans, you can save up to 35% in exchange for a commitment to a consistent amount of usage (measured in $/hour) over a one-year term with no upfront payment. Database Savings Plans automatically applies to eligible serverless and provisioned instance usage regardless of supported engine, instance family, size, deployment option, or AWS Region. For example, with Database Savings Plans, you can change from m7i.large.search to c8g.2xlarge.search within OpenSearch Service, or scale Neptune Analytics workloads while continuing to benefit from the discounted pricing. Database Savings Plans for Amazon OpenSearch Service and Amazon Neptune Analytics is available starting today in all AWS Regions, except China Regions. You can get started with Database Savings Plans from the AWS Billing and Cost Management Console or by using the AWS CLI. To realize the largest savings, you can make a commitment to Savings Plans by using purchase recommendations provided in the console. For a more customized analysis, you can use the Savings Plans Purchase Analyzer to estimate potential cost savings for custom purchase scenarios. For more information, visit the Database Savings Plans pricing page and the AWS Savings Plans FAQs.
Quelle: aws.amazon.com

Introducing Amazon Connect Health, Agentic AI Built for Healthcare

Amazon Connect Health is now generally available, bringing purpose-built agentic AI to healthcare organizations to streamline patient engagement and point-of-care workflows. Amazon Connect Health delivers five AI agents designed to reduce administrative burden across the care continuum — enabling patients faster access to care and freeing clinicians from paperwork and administrative burden to focus on what matters most: their patients. These agents are ready to deploy within existing patient, clinician, and healthcare workflows — such as patient access centers (i.e., contact centers), Electronic Health Records (EHR) applications, and telehealth solutions — in days, not months. All the features follow responsible AI best practices, implement safety guardrails, are HIPAA-eligible, and deliver the same security and reliability standards as any AWS service.
Agents available at launch:

Patient verification (GA) – Confirms patient identity in real time against EHR records with appointment lookup, reducing inbound call-handling time.

Appointment management (Preview) – Books appointments via natural language voice interaction, 24/7, with real-time insurance eligibility checks, enabling after-hours scheduling, and relieving burden on human staff. 

Patient insights (Preview) – Surfaces relevant patient history and clinical context before the visit, so clinicians walk in prepared. Reduces the time clinicians spend piecing together information before a patient’s visit.

Ambient documentation (GA) – Captures patient-clinician conversations during the visit and generates clinical notes in real time.

Medical coding (Preview) – Automatically generates ICD-10 and CPT codes from clinical notes post-visit, with full audit trails.

Amazon Connect Health patient engagement capabilities are natively integrated with Amazon Connect, a complete AI-powered contact center solution delivering personalized customer experiences at scale. Clinical and administrative staff can configure and customize these AI capabilities in minutes using the Amazon Connect Health application, enabling rapid testing and seamless deployment into contact center workflows. The point-of-care capabilities — ambient listening, patient insight, and medical coding — are available via Amazon Connect Health unified SDK (SDK documentation), enabling developers to integrate the features directly into existing EHR and clinician-facing applications. 
 
Amazon Connect Health is available in US East (N. Virginia) and US West (Oregon). To get started, visit the Amazon Connect Health product page. For technical details, see the Amazon Connect Health documentation
Quelle: aws.amazon.com

Amazon OpenSearch Service introduces capacity optimized blue/green deployments

Amazon OpenSearch Service now offers a Capacity Optimized option for blue/green deployments, ensuring domain updates can complete even when available instance capacity is less than required. Updates are performed in incremental batches, reducing the number of additional instances needed during the process. Amazon OpenSearch Service uses a blue/green deployment process when updating domains — creating an idle copy of the original environment, applying updates, and routing traffic to the new environment once complete. This minimizes downtime and preserves the original environment as a fallback. Until now, blue/green deployments required 100% instance capacity upfront. For example, for a cluster with 100 data nodes, another 100 nodes were needed to proceed. If sufficient capacity was unavailable, customers had to wait and retry later. Now, customers can choose between two deployment strategies. The default Full Swap option maintains current behavior, requiring full capacity upfront for the fastest deployment. The new Capacity Optimized option attempts a full capacity deployment first, but automatically falls back to batch deployment if capacity is insufficient. OpenSearch Service determines the appropriate batch size based on cluster size and available instances. Because updates are applied in batches, this option may take longer than a full-swap deployment. Customers can select their preferred option in the deployment configuration settings via the OpenSearch Service console or API. We recommend choosing the Capacity Optimized deployment option for clusters with 30 or more nodes. The Capacity Optimized option is available for all OpenSearch and Elasticsearch versions, across all AWS Commercial Regions where OpenSearch Service is available. See here for a full listing of our Regions. To learn more, visit the documentation page.
Quelle: aws.amazon.com