Kategorie: Microsoft Azure

Microsoft partners with the industry to unlock new 5G scenarios with Azure Edge Zones

Cloud, edge computing, and IoT are making strides to transform whole industries and create opportunities that weren't possible just a few years ago. With the rise of 5G mobile connectivity, there are even more possibilities to deliver immersive, real-time experiences that have demanding, ultra-low latency, and connectivity requirements. 5G opens new frontiers with enhanced mobile broadband up to 10x faster, reliable low-latency communication, and very high device density up to 1 million devices per square kilometer.

Today we’re announcing transformative advances to combine the power of Azure, 5G, carriers, and technology partners around the world to enable new scenarios for developers, customers, and partners, with the preview of Azure Edge Zones.

New 5G customer scenarios with Azure Edge Zones

Azure Edge Zones and Azure Private Edge Zones deliver consistent Azure services, app platform, and management to the edge with 5G unlocking new scenarios by enabling:

Development of distributed applications across cloud, on-premises, and edge using the same Azure Portal, APIs, development, and security tools.
Local data processing for latency critical industrial IoT and media services workloads.
Acceleration of IoT, artificial intelligence (AI), and real-time analytics by optimizing, building, and innovating for robotics, automation, and mixed reality.
New frontiers for developers working with high-density graphics and real-time operations in industries such as gaming.
An evolving platform built with customers, carriers, and industry partners to allow seamless integration and operation of a wide selection of Virtual Network Functions, including 5G software and SD-WAN and firewalls from technology partners such as Affirmed, Mavenir, Nuage Networks from Nokia, Metaswitch, Palo Alto, and VeloCloud By VMware.

Building on our previous work with AT&T, we’re announcing the preview of Azure Edge Zones with carriers, connecting Azure services directly to 5G networks in the carrier’s datacenter. This will enable developers to build optimized and scalable applications using Azure and directly connected to 5G networks, taking advantage of consistent Azure APIs and tooling available in the public cloud. We were the first public cloud to announce 5G integration with AT&T in Dallas in 2019, and now we're announcing a close collaboration with AT&T on a new Edge Zone targeted to become available in Los Angeles in late spring. Customers and partners interested in Edge Zones with AT&T can register for our early adopter program.

“This is a uniquely challenging time across the globe as we rethink how to help organizations serve their customers and stakeholders,” said Anne Chow, chief executive officer, AT&T Business. “Fast and intelligent mobile networks will be increasingly central to all of our lives. Combining our network knowledge and experience with Microsoft’s cloud expertise will give businesses a critical head start.”

These new zones will boost application performance, providing an optimal user experience when running ultra-low latency, sensitive mobile applications, and SIM-enabled architectures including:

Online gaming: Every press of the button, every click is important for a gamer. Responsiveness is critical, especially in multi-player scenarios. Game developers can now develop cloud-based applications optimized for mobile, directly accessing the 5G network at different carrier sites. They can achieve millisecond latency and scale to as many users as they want.
Remote meetings and events: As the prevalence of digital-forward experiences continue to rise in response to global health challenges, we can help bring together thousands of people to enjoy a real-time shared experience. Enabling scenarios like social engagement, mobile digital experiences, live interaction, and payment and processing require ultra-low latency to provide an immersive, responsive experience.
Smart Infrastructure: With the rise of IoT, organizations are looking to create efficiency, savings, and immersive experiences across residential and commercial buildings, or even citywide. With 5G and cloud computing, organizations can reliably connect millions of endpoints, analyze data, and deliver immersive experiences.

With Azure Edge Zones we’re expanding our collaboration with several of our carrier partners to bring the Azure Edge Zones family to our mutual customers later this year.

In addition to partnering with carriers, we'll also deliver standalone Azure Edge Zones in select cities over the next 12 months, bringing Azure closer to customers and developers in highly dense areas.

Azure Private Edge Zones

We’re also announcing the preview of Azure Private Edge Zones, a private 5G/LTE network combined with Azure Stack Edge on-premises delivering an ultra-low latency, secure, and high bandwidth solution for organizations to enable scenarios, like with Attabotics, accelerating e-commerce delivery times by using 3D robotic goods-to-person storage, retrieval, and real-time order fulfillment solutions. This solution leverages Azure Edge Zones and IoT technologies such as Azure IoT Central and Azure Sphere.

“In collaboration with Microsoft, Rogers is delivering new and innovative solutions with our Private LTE capabilities combined with Azure Edge Zones,” said Dean Prevost, President, Rogers for Business. “Working with Attabotics, we’re enabling Canadian businesses to transform the traditional supply model with a retail e-fulfillment solution that showcases the exciting possibilities of today and opens the door to our 5G future.”

Partnering with the broad industry of carriers, systems integrators, and technology partners, we're launching a platform to support orchestration and management of customers' private cellular networks to enable scenarios such as:

Smart Factory/IoT: Off-shore operations or security isolated facilities can now take advantage of the power of edge computing. Connecting everything, from silicon to sensors, leveraging security to AI at the edge, deploying Digital Twins or using mixed reality, with a secure and private connection.
Logistics and operations: Retail customers have high expectations today in online and retail shopping, creating a need for appealing advertising before a potential customer looks away from a product on-line or in an aisle at the store. Wide selection, tailored offers, convenience, and availability are musts for success. The combination of cloud and distributed edge computing, efficiently working together is a game changer for the industry.
Medicine: From remote surgeries to complicated diagnostics that rely on cross-institutional collaboration, efficient compute and storage at the edge, with AI and minimal latency, enables these and multiple other scenarios that will save lives. Private mobile connections will work as smart grids for hospitals, patient data, and diagnostics that will never have to be exposed to the internet to take advantage of Azure technologies.

A consistent Edge Zone solution

Together, Azure, Azure Edge Zones, and Azure Private Edge Zones unlock a whole new range of distributed applications with a common and consistent architecture companies can use. For example, enterprises running a headquarters’ infrastructure on Azure, may leverage Azure Edge Zones for latency sensitive interactive customer experiences, and Azure Private Edge Zones for their remote locations. Enterprise solution providers can take advantage of the consistent developer, management, and security experience, allowing developers to continue using Github, Azure DevOps, and Kubernetes Services to create applications in Azure and simply move the application to either Azure Edge Zones or Private Edge Zones depending on the customer's requirements.

“By combining Vodafone 5G and mobile private networks with Azure Private Edge Zones, our customers will be able to run cloud applications on mobile devices with single-digit millisecond responsiveness. This is essential for autonomous vehicles and virtual reality services, for example, as these applications need to react in real-time to deliver business impact. It will allow organizations to innovate and transform their operations, such as the way their employees work with virtual reality services, high speed and precise robotics, and accurate computer vision for defect detection. Together, we expect Vodafone and Microsoft to provide our customers with the capabilities they need to create high performing, innovative and safe work environments.” – Vinod Kumar, CEO of Vodafone Business

New possibilities for the telecommunication industry with Azure

For the last few decades, carriers and operators have pioneered how we connect with each other, laying the foundation for telephony and cellular. With cloud and 5G, there are new possibilities by combining cloud services, including compute and AI, with mobile high bandwidth and ultra-low latency connections. Microsoft is partnering with carriers and operators to bring 5G to life in immersive applications built by organizations and developers.

Carriers, operators, and networking providers can build 5G-optimized services and applications for their partners and customers with Azure Edge Zones, taking advantage of Azure compute, storage, networking, and AI capabilities. For organizations that want an on-premises, private mobile solution, partners and carriers can deploy, manage, and build offers with Azure Private Edge Zones. Customers need help understanding the complexities of the cellular spectrum, access points, and overall management. Carrier partners can help such enterprises manage these scenarios including manufacturing, robotics, and retail.

In addition to new business application opportunities, we're looking to transform 5G infrastructure with cloud technology. Today, most 5G infrastructure is built on specialized hardware with high capital expenditures and little flexibility. Microsoft will be working to help operators reduce costs and build capacity for their network workloads in new and innovative ways. Last week, we announced the signing of a definitive agreement to acquire Affirmed Networks, a leader in fully virtualized cloud-native mobile network solutions. We look forward to building on their great work and technology expertise to do even more to create new opportunities for customers, technology partners, and operators in virtual mobile networks

As we continue to innovate and discover new, interesting ways to provide unique scenarios built with 5G and our Edge Zone platforms we will be sure to keep you updated. Please visit our page to learn more and keep track of the latest news here.
Quelle: Azure

Extending the power of Azure AI to Microsoft 365 users

Today, Yusuf Mehdi, Corporate Vice President of Modern Life and Devices, announced the availability of new Microsoft 365 Personal and Family subscriptions. In his blog, he shared a few examples of how Microsoft 365 is innovating to deliver experiences powered by artificial intelligence (AI) to billions of users every day. Whether through familiar products like Outlook and PowerPoint, or through new offerings such as Presenter Coach and Microsoft Editor across Word, Outlook, and the web, Microsoft 365 relies on Azure AI to offer new capabilities that make their users even more productive.

What is Azure AI?

Azure AI is a set of AI services built on Microsoft’s breakthrough innovation from decades of world-class research in vision, speech, language processing, and custom machine learning. What is particularly exciting is that Azure AI provides our customers with access to the same proven AI capabilities that power Microsoft 365, Xbox, HoloLens, and Bing. In fact, there are more than 20,000 active paying customers—and more than 85 percent of the Fortune 100 companies have used Azure AI in the last 12 months.

Azure AI helps organizations:

Develop machine learning models that can help with scenarios such as demand forecasting, recommendations, or fraud detection using Azure Machine Learning.
Incorporate vision, speech, and language understanding capabilities into AI applications and bots, with Azure Cognitive Services and Azure Bot Service.
Build knowledge-mining solutions to make better use of untapped information in their content and documents using Azure Search.

Microsoft 365 provides innovative product experiences with Azure AI

The announcement of Microsoft Editor is one example of innovation. Editor, your personal intelligent writing assistant is available across Word, Outlook.com, and browser extensions for Edge and Chrome. Editor is an AI-powered service available in more than 20 languages that has traditionally helped writers with spell check and grammar recommendations. Powered by AI models built with Azure Machine Learning, Editor can now recommend clear and concise phrasing, suggest more formal language, and provide citation recommendations.

Additionally, Microsoft PowerPoint utilizes Azure AI in multiple ways. PowerPoint Designer uses Azure Machine Learning to recommend design layouts to users based on the content on the slide. In the example image below, Designer made the design recommendation based on the context in the slide. It can also can intelligently crop objects and people in images and place them in optimal layout on a slide. Since its launch, PowerPoint Designer users have kept nearly two billion Designer slides in their presentation.

You can take a closer look at how the PowerPoint team built this feature with Azure Machine Learning in this blog.

PowerPoint also uses Azure Cognitive Services such as the Speech service to power live captions and subtitles for presentations in real-time, making it easier for all audience members to follow along. Additionally, PowerPoint also uses Translator Text to provide live translations into over 60 languages to reach an even wider audience. These AI-powered capabilities in PowerPoint are providing new experiences for users, allowing them to connect with diverse audiences they were unable to reach before.

These same innovations can also be found in Microsoft Teams. As we look to stay connected with co-workers, Teams has some helpful capabilities intended to make it easier to collaborate and communicate while working remotely. For example, Teams offers the ability of live captioning meetings, which leverages the Speech API for speech transcription. But it doesn’t stop there. As you saw with PowerPoint, Teams also uses Azure AI for live translations when you set up Live Events. This functionality is particularly useful for company town hall meetings or even for any virtual event with up to ten thousand attendees, allowing presenters to reach audiences worldwide

These are just a few of the ways Microsoft 365 applications utilize Azure AI to deliver industry-leading experiences to billions of users. When you consider the fact that other Microsoft products such as Microsoft 365, Xbox, HoloLens 2, Dynamics 365, and Power Platform all rely on Azure AI, you begin to see the massive scale and the breadth of scenarios that only Azure can offer. Best of all, these same capabilities are available to anyone in Azure AI. 
Quelle: Azure

How Azure Machine Learning enables PowerPoint Designer

If you use Office 365, you have likely seen the Microsoft PowerPoint Designer appear to offer helpful ideas when you insert a picture into a PowerPoint slide. You may also have found it under the Home tab in the ribbon. In either case, Designer provides users with redesigned slides to maximize their engagement and visual appeal. These designs include different ways to represent your text as diagrams, layouts to make your images pop, and now it can even surface relevant icons and images to bring your slides to the next level. Ultimately, it saves users time while enhancing their slides to create stunning, memorable, and effective presentations.

Designer uses artificial intelligence (AI) capabilities in Office 365 to enable users to be more productive and unlock greater value from PowerPoint. It applies AI technologies and machine learning based techniques to suggest high-quality professional slide designs. Content on slides such as images, text, and tables are analyzed by Designer and formatted based on professionally designed templates for enhanced effectiveness and visual appeal.

The data science team, working to grow and improve Designer, is comprised of five data scientists with diverse backgrounds in applied machine learning and software engineering. They strive to continue pushing barriers in the AI space, delivering tools that make everyone’s presentation designs more impactful and effortless. They’ve shared some of the efforts behind PowerPoint Designer, just so we can get a peek under the hood of this powerful capability.

PowerPoint Designer capabilities

Designer has been processing user requests in the production environment for several years and uses machine learning models for problems such as image categorization, content recommendation, text analysis, slide structure analysis, suggestion ranking, and more. Since its launch, Designer users have kept 1.7 billion Designer slides in their presentations. This means the team needs a platform to run their models at a large scale. Plus, the Designer team is regularly retraining models in production and driving model experimentation to provide optimized content recommendations.

Recently, the data analysis and machine learning team within PowerPoint started leveraging Azure Machine Learning and its robust MLOps capabilities to build models faster and at scale, replacing local development. Moving toward content suggestions, like background images, videos, and more, requires a highly performant platform, further necessitating the shift towards Azure Machine Learning.

The team uses Azure Machine Learning and its MLOps capabilities to create automated pipelines that can be iterated on, without disrupting the user experience. The pipeline starts at the Azure Data Lake, where the data is stored. From there, the team gathers data and preprocesses it—merging data from different sources and transforming raw data into a format that models can understand. Utilizing the Azure Machine Learning distributed training, they retrain their current models weekly or monthly. Distributed training allows the team to train models in parallel across multiple virtual machines (VMs) and GPUs (graphic processing units). This saves the team considerable time to ensure the model training doesn’t disrupt the user experience for the data science team, so they can focus on other objectives like experimentation.

The team does experimentation in parallel as well—trying variants, or hyperparameters, and comparing results. The final model is then put back into Azure Data Lake and downloaded to Azure Machine Learning.

The following diagram shows the conceptualized, high-level architecture of data being used from local caches in Azure Data Lake to develop machine learning models on the Azure Machine Learning. These models are then integrated into the micro-service architecture of the Designer backend service that presents PowerPoint users with intelligent slide suggestions.

Benefits of Azure Machine Learning for the PowerPoint team

The PowerPoint team decided to move its workloads over to the Azure Machine Learning based on the following capabilities:

Supports Python notebooks which can be accessed on any machine through the browser.
Natively supports running the latest TensorFlow and PyTorch-based algorithms and pre-trained models.
Experimentation is very easy to set up with minimal ramp-up time It allows execution locally or on the cloud seamlessly thereby presenting developers with a hybrid environment.
Azure Machine Learning is one of Microsoft’s key AI investments.

Follow the Azure blog to be the first to know when features leveraging new models that recommend more types of content, such as image classification and content recommendations, are released.

Azure Machine Learning | Azure Data Lake | Azure Machine Learning pipelines

Learn more

Learn more about Azure Machine Learning.

Get started with a free trial of Azure Machine Learning.
Quelle: Azure

Announcing general availability of incremental snapshots of Managed Disks

We're announcing the general availability of incremental snapshots of Azure Managed Disks. Incremental snapshots are a cost-effective, point-in-time backup of managed disks. Unlike current snapshots, which are billed for the full size, incremental snapshots are billed for the delta changes to disks since the last snapshot and are always stored on the most cost-effective storage, Standard HDD storage irrespective of the storage type of the parent disks. For additional reliability, Managed Disks are also stored on Zone Redundant Storage (ZRS) by default in regions that support ZRS.

Incremental snapshots provide differential capability, enabling customers and independent solution vendors (ISVs) to build backup and disaster recovery solutions for Managed Disks. It allows you to get the changes between two snapshots of the same disk, thus copying only changed data between two snapshots across regions, reducing time and cost for backup and disaster recovery. Incremental snapshots are accessible instantaneously; you can read the underlying data of incremental snapshots or restore disks from them as soon as they are created. Azure Managed Disk inherit all the compelling capabilities of current snapshots and have a lifetime independent from their parent managed disks and independent of each other.

Examples of incremental snapshots

Let’s look at a few examples to understand how the incremental snapshots help you reduce cost.

If you were using a disk with 100 GiB already occupied and added 20 GiB of data to the disk, you took the first incremental snapshot before 20 GiB of data was added to the disk, making the first copy occupy 100 GiB of data. Then 20 GiB of data was added on the disk before you created the second incremental snapshot. Now with incremental snapshots, the second snapshot occupies only 20 GiB and you’re billed for only 20 GiB compared to the current full snapshots that would have occupied 120 GiB and billed for 120 GiB of data, reducing your cost.

The second incremental snapshot references 100 GiB of data from the first snapshot. When you restore the disk from the second incremental snapshot, the system can restore 120 GiB of data by copying 100 GiB of data from the first snapshot and 20 GiB of data from the second snapshot.

Let's now understand what happens when 5 GiB of data was modified on the disk before you took the third incremental snapshot. The third snapshot then occupies only 5 GiB of data, references 95 GiB of data from the first snapshot, and references 20 GiB of data from the second snapshot.

Now, if you deleted the first incremental snapshot the second and the third snapshots continue to function normally as incremental snapshots are independent of each other. The system merges the data occupied by the first snapshot with the second snapshot under the hood to ensure that the second and the third snapshots are not impacted due to the deletion of the first snapshot. The second snapshot now occupies 120 GiB of data.  Since we launched the preview for incremental snapshot in September 2019, our ISVs have used this capability on a wide range of workloads to reduce the cost and time for backup and disaster recovery.

Below are some quotes from partners in our preview program:

“Zerto has been helping enterprise customers who leverage Microsoft Azure become IT Resilient for years. Extending Azure Managed Disks with the incremental snapshots API has enabled Zerto to improve upon industry-best RTOs and RPOs in Azure. The powerful capabilities of Azure Managed Disks enable Zerto to meet the scale and performance requirements of a modern enterprise. With Zerto and Microsoft’s continued collaboration and integration, we’ll continue to pave the way for IT Resilience in the public cloud.” – Michael Khusid, Director of Product Management, Zerto, Inc.

“Combining Rubrik Azure data protection with the latest Microsoft API delivering incremental snapshots, we reduce the time and cost for backup and recovery, and help our joint customers achieve 18x lower costs, high storage efficiency, reduced network traffic, and hourly RPOs. Together, Rubrik and Microsoft enable our enterprise customers to accelerate their cloud journey while unlocking productivity and better cloud economics.” – Shay Mowlem, Senior Vice President of Product & Strategy, Rubrik

“With incremental snapshots of Azure managed disks, Dell EMC PowerProtect Cloud Snapshot Manager (CSM) customers will be able to reduce their backup times and storage costs significantly. Also, they’ll be able to achieve much shorter recovery time objectives with instant access to their data from snapshots. Designed for any-size cloud infrastructure, CSM provides global visibility and control to gain insights into data protection activities across Azure subscriptions, making CSM a great solution for protecting customer workloads in public cloud environments.” – Laura Dubois, vice president, product management, Dell Technologies Data Protection

Availability and pricing

You can now create incremental snapshots in all regions, including sovereign regions.

Incremental snapshots are charged per GiB of the storage occupied by the delta changes since the last snapshot. For example, if you're using a managed disk with a provisioned size of 128 GiB, with 100 GiB used, the first incremental snapshot is billed only for the used size of 100 GiB. 20 GiB of data is added on the disk before you create the second snapshot. Now, the second incremental snapshot is billed for only 20 GiB.

Incremental snapshots are always stored on standard storage irrespective of the storage type of parent managed disks and charged as per the pricing of standard storage. For example, incremental snapshots of a Premium SSD Managed Disk are stored on standard storage. They are stored on ZRS by default in regions that support ZRS. Otherwise, they are stored on locally redundant storage (LRS). The per GB pricing of both the LRS and ZRS options is the same.

Incremental snapshots cannot be stored on premium storage. If you are using current snapshots on premium storage to scale up virtual machine deployments, we recommend you use custom images on standard storage in Shared Image Gallery. This will help you to achieve higher scale with lower cost.

You can visit the Managed Disk Pricing for more details about the snapshot pricing.

Getting started

Create an incremental snapshot using CLI.
Create an incremental snapshot using PowerShell.

Quelle: Azure

Azure Container Registry Private Link support preview for virtual networks

Azure Container Registry announces preview support for Azure Private Link, a means to limit network traffic of resources within the Azure network.

With Private Link, the registry endpoints are assigned private IP addresses, routing traffic within a customer-defined virtual network. Private network support has been one of the top customer asks, allowing customers to benefit from the Azure management of their registry while benefiting from tightly controlled network ingress and egress.
  

Private Links are available across a wide range of Azure resources with more coming soon, allowing a wide range of container workloads with the security of a private virtual network.

Private Endpoints and Public Endpoints

Private Link provides private endpoints to be available through private IPs. In the above case, the contoso.azurecr.io registry has a private IP of 10.0.0.6 which is only available to resources in contoso-aks-eastus-vnet. This allows the resources in this VNet to securely communicate. The other resources may be restricted to resources only within the VNet.

At the same time, the public endpoint for the contoso.azurecr.io registry may still be public for the development team. In a coming release, Azure Container Registry (ACR) Private Link will support disabling the public endpoint, limiting access to only private endpoints, configured under private link.

Cross tenant manual approval support

Customers looking to establish a private link between two Azure tenants, where an Azure container registry is in one tenant and while container hosts are in other tenants can use the Private Link Manual Approval workflow. This workflow enables many Azure services, including Azure Machine Learning, to securely interact with your registry. Development teams working in different subscriptions and tenants may also utilize private link manual approval to grant access.

Service Endpoints and Private Links

ACR Service Endpoint preview support was released in March 2019. Service Endpoints provide access from Azure VNets through IP tagging. All traffic to the service endpoint is limited to the Azure backbone network through routing. The public endpoint still exists; however, firewall rules limit public access. Private Link capabilities take this a step further by providing a private endpoint (IP address). As Private Links are more secure and a superset of capabilities of Service Endpoints, Private link support will replace Azure Container Registry Service Endpoint support. While both Service Endpoints and Private Link are currently in preview, we plan to release Private Link capabilities as generally available shortly. We encourage Service Endpoint customers to evaluate ACR Private Link capabilities.

Preview support and limitations

During the preview period, private link support is limited to registries that are not geo-replicated. The feature will move to general availability as we assess feedback and geo-replication support is complete.

We’ve heard clearly that customers requiring private networks also require production support. As such, all support requests will be honored through standard support channels.

Regional support and pricing

Azure Container Registry Private Link support is available across 28 regions through the premium tier.

Additional links:

Learn more about Azure Container Registry.
Azure Container Registry pricing.
Configure Azure Private Link for an Azure Container Registry.

Quelle: Azure

Azure Government Secret accredited at DoD IL6, ICD 503 with IaaS and PaaS

Accelerate classified missions with unparalleled connectivity, high availability, and resiliency across three regions with more than 35 services

Azure Government Secret recently achieved Provisional Authorization (PA) at Department of Defense Impact Level 6 (IL6) and Intelligence Community Directive (ICD) 503 with facilities at ICD 705. We’re also announcing a third region to enable even higher availability for national security missions to stay ahead of their unique threats.

Built exclusively for the needs of US government and operated by cleared US citizens, Azure Government Secret delivers dedicated regions to maintain the security and integrity of classified Secret workloads while enabling reliable access to critical data. The first cloud natively connected to classified networks; Azure Government Secret enables customers to leverage options for private, resilient, high-bandwidth connectivity.

Protect national security production workloads with geodiversity across three regions

Azure Government Secret is designed for the unique requirements of critical national security workloads that cannot be served out of a single geographic location. To provide the geodiversity required, Azure Government Secret delivers across three dedicated regions for US Federal Civilian, Department of Defense (DoD), Intelligence Community (IC), and US government partners working within Secret enclaves. These dedicated Azure regions are located over 500 miles apart to enable applications to stay running in the face of a disaster without a break in continuity of operations.

In addition, these regions provide greater choice when working across multiple locations and delivering cloud-to-edge scenarios. With comprehensive cloud services Azure Government Secret enables faster innovation for the mission from cloud to tactical edge meeting the critical availability needs of the warfighter.

Enabling classified missions at scale with more than 35 services

Designed and built for Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS) and Marketplace solutions, Azure Government Secret provides a broad range of commercial innovation for classified workloads.­ Some of the services include: identity, analytics, security, and high performance computing to support advanced artificial intelligence (AI) and machine learning.

Operated by cleared US citizens, these new regions are part of Azure Government, delivering a familiar, consistent experience and alignment with existing resellers and programs. Eligible customers can also leverage cleared Microsoft cloud support for their workloads.

Gain speed by connecting directly or extending on-premises networks

With Azure Government Secret, customers can connect natively to classified networks or leverage options for private, resilient, high-bandwidth connectivity using ExpressRoute and ExpressRoute Direct:

Native connection: Agencies with direct connections through US government classified networks can connect natively to Azure Government Secret.
ExpressRoute: Extend on-premises networks into Azure Government Secret regions over a private connection facilitated by a connectivity provider with ExpressRoute.
ExpressRoute Direct: Get the ability to connect directly into Azure Government Secret locations using ExpressRoute Direct.

Continued investments in commercial parity across data classifications

In addition to serving mission customers at DoD IL6 and ICD 503, we continue to invest in rapidly delivering new Azure Government capabilities to support mission needs across all data classifications for any US government customer. In the last six months we’ve continued our drive toward commercial parity, adding hundreds of features and launching 40+ new services and 101 total services in FedRAMP High, with more to come across Azure commercial, Azure Government and Azure Government Secret.

These continued investments enable customers across the full spectrum of government, including departments in every state, all the federal cabinet agencies, and each military branch, modernize their IT to better achieve their missions.

To learn more about Azure Government Secret contact us or visit Azure Government for national security.
Quelle: Azure

Azure Dedicated Host: New capabilities and benefits

Late last year, we’ve announced the general availability of Azure Dedicated Hosts. This blog provides an update regarding the new and recently added capabilities since we introduced Azure Dedicated Hosts in preview.

Azure Dedicated Host provides a single-tenant physical server to run your Azure Virtual Machines for Windows Server and Linux. With Azure Dedicated Host, you can address specific compliance requirements while increasing visibility and control over your underlying infrastructure.

What’s new

Save costs with Azure Dedicated Hosts reservations

We recently introduced the ability for you to purchase Azure reservations for Dedicated Hosts. You are now able to reduce costs by buying Azure Dedicated Hosts reservations. The reservation discount is applied automatically to the number of running dedicated hosts that match the reservation scope and attributes. You don't need to assign a reservation to a specific dedicated host to get the discounts. You may also delete and create hosts and have the reservation apply to the hosts already deployed at any given time.

The Azure Dedicated Hosts pricing page contains the complete list of Dedicated Hosts SKUs, their CPU information, and various pricing options including Azure reservations discounts.

Azure Dedicated Host SKUs, unlike Azure Virtual Machines, are defined based on the virtual machine (VM) series and hardware generation. With Azure Dedicated Hosts, your reservation will automatically apply to any host SKUs supporting the same VM series. For example, if you acquired a reservation for Dsv3_Type1 dedicated host, you would be able to use it with Dsv3_Type2 dedicated hosts.

Maintenance control for platform updates supports Azure Dedicated Hosts

The maintenance control feature for Azure Dedicated Hosts gives control over platform maintenance operations to customers with highly sensitive workloads. Using this feature, customers can manage platform updates that don’t require a reboot. Maintenance control batch updates into one update package and gives you the option to delay platform updates and apply them within a 35-day rolling window.

You can take advantage of this new capability, by creating a maintenance configuration object and then apply it to your dedicated hosts. Then, you can check for pending updates and apply them at the host level. All VMs assigned to the host will be impacted at the same time.

Prior to applying the maintenance, you can check the impact type and expected duration of the impact

To learn more, refer to our documentation Control updates with Maintenance Control.

More options with new SKUs

Since the preview was announced, we have added support for additional VM series and host types. We’re currently supporting both Intel and AMD SKUs with a variety of VM series: Dsv3, Esv3, Dasv4, Easv4, Fsv2, Lsv2, and Msv2. This will enable our customers to run a broad range of workloads on Dedicated Hosts including and not limited to general purpose or memory, storage, and compute intensive applications. 

Visit the Azure Dedicated Host pricing page to learn more about these new SKUs and the options available to you.

Resource Health Activity Log Alerts for Dedicated Hosts

Azure Resource Health alerts can notify you in near real-time when your dedicated hosts experience a change with respect to their health status. Creating Resource Health alerts programmatically let users create and customize alerts in bulk. You can create an action group and specify the steps to take once an alert is triggered. Follow the steps to create activity log alerts using Azure Resource Manager Template and remember to modify the template to include resources of type dedicated hosts.

Get started

Start by visiting the Azure Dedicated Host page, read more in the documentation page, or watch a video introduction to Azure Dedicated Host.

Deploy Dedicated Host using Azure CLI, the Azure portal, Azure REST API, or Azure PowerShell.
Quelle: Azure