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
Whether you’re a new student, thriving startup, or the largest enterprise, you have financial constraints and you need to know what you’re spending, where, and how to plan for the future. Nobody wants a surprise when it comes to the bill, and this is where Azure Cost Management + Billing comes in.
We’re always looking for ways to learn more about your challenges and how Azure Cost Management + Billing can help you better understand where you’re accruing costs in the cloud, identify and prevent bad spending patterns, and optimize costs to empower you to do more with less. Here are a few of the latest improvements and updates based on your feedback:
Pay-As-You-Go (PAYG) invoice improvements. Tell us about your reporting goals. What’s new in Cost Management Labs. New ways to save money with Azure. Upcoming changes to Azure usage data. New videos and learning opportunities. Documentation updates.
Let’s dig into the details.
Pay-As-You-Go (PAYG) invoice improvements
Managing and staying up to date on your Azure invoices just got a whole lot better with a few key improvements for Pay-As-You-Go (PAYG) subscriptions:
You can now view and download your support plan invoices in the Azure portal, giving you
As the world comes together to combat COVID-19, and remote work becomes a critical capability for many companies, customers have asked us how to best maintain the security posture of their cloud assets while enabling more remote workers to access them.
Misconfiguration of cloud security controls has been at the root of several recent data breaches, so it’s extremely important to continue monitoring your security posture as usage of cloud assets increases.
To help you prioritize the actions that you need to take, we are listing three common scenarios for remote workers and how to leverage Azure Security Center security controls to prioritize relevant recommendations for these scenarios:
1. As more users need to access resources remotely, you need to ensure that Multi-Factor Authentication (MFA) is enabled to enhance their identity protection.
Azure Security Center has a security control called Enable MFA, ideally you should remediate all recommendations that are part of this security control, as shown below:
2. Some users might need remote access via RDP or SSH to servers that are in your Azure infrastructure.
Instead of allowing full 24 x 7 access to those servers, ensure that you are using Just-In-Time (JIT)
We’re expanding the Microsoft Azure Stack Edge with NVIDIA T4 Tensor Core GPU preview during the GPU Technology Conference (GTC Digital). Azure Stack Edge is a cloud-managed appliance that brings Azure’s compute, storage, and machine learning capabilities to the edge for fast local analysis and insights. With the included NVIDIA GPU, you can bring hardware acceleration to a diverse set of machine learning (ML) workloads.
What’s new with Azure Stack Edge
At Mobile World Congress in November 2019, we announced a preview of the NVIDIA GPU version of Azure Stack Edge and we’ve seen incredible interest in the months that followed. Customers in industries including retail, manufacturing, and public safety are using Azure Stack Edge to bring Azure capabilities into the physical world and unlock scenarios such as the real-time processing of video powered by Azure Machine Learning.
These past few months, we’ve taken our customers’ feedback to make key improvements and are excited to make our preview available to even more customers today.
Azure Machine Learning: Build and train your model in the cloud, then deploy it to the edge for FPGA or
The world of supercomputing is evolving. Work once limited to high-performance computing (HPC) on-premises clusters and traditional HPC scenarios, is now being performed at the edge, on-premises, in the cloud, and everywhere in between. Whether it’s a manufacturer running advanced simulations, an energy company optimizing drilling through real-time well monitoring, an architecture firm providing professional virtual graphics workstations to employees who need to work remotely, or a financial services company using AI to navigate market risk, Microsoft’s collaboration with NVIDIA makes access to NVIDIA graphics processing units (GPU) platforms easier than ever.
These modern needs require advanced solutions that were traditionally limited to a few organizations because they were hard to scale and took a long time to deliver. Today, Microsoft Azure delivers HPC capabilities, a comprehensive AI platform, and the Azure Stack family of hybrid and edge offerings that directly address these challenges.
This year during GTC Digital, we’re spotlighting some of the most transformational applications powered by NVIDIA GPU acceleration that highlight our commitment to edge, on-prem, and cloud computing. Registration is free, so sign up to learn how Microsoft is powering transformation.
Visualization and GPU workstations
Azure enables a wide range of visualization workloads, which are critical
Microsoft 365 applications are so commonplace that it’s easy to overlook some of the amazing capabilities that are enabled with breakthrough technologies, including artificial intelligence (AI). Microsoft Outlook is an email client that helps you work efficiently with email, calendar, contacts, tasks, and more in a single place.
To help users be more productive and deliberate in their actions while emailing, the web version of Outlook and the Outlook for iOS and Android app have introduced suggested replies, a new feature powered by Azure Machine Learning service. Now when you receive an email message that can be answered with a quick response, Outlook on the web and the Outlook mobile suggest three response options that you can use to reply with only a couple of clicks or taps, helping people communicate in both their workplace and personal life, by reducing the time and effort involved in replying to an email.
The developer team behind suggested replies is comprised of data scientists, designers, and machine learning engineers with diverse backgrounds who are working to improve the lives of Microsoft Outlook users by expediting and simplifying communications. They are at the forefront of applying cutting-edge natural language processing (NLP) and machine
Over the past several weeks, all of us have come together to battle the global health pandemic. During this time, organizations around the world are adjusting the way they manage their daily work and how their workforce continues in the face of extraordinary changes to their professional and personal lives.
With this blog we wanted to share a bit about what we have learned over the last few weeks, resources to help organizations manage through these times, support for critical first responders and emergency organizations, and the criteria we have put in place to manage cloud services capacity to support critical operations.
We will continue to communicate regularly and openly, so you can have insight into what we are seeing, learning and doing.
As companies operationalize to address new and unique challenges, we have mobilized our global response plan to help customers stay up and running during this critical time. We are actively monitoring performance and usage trends 24/7 to ensure we are optimizing our services for customers worldwide, while accommodating new demand. We are working closely with first responder organizations and critical government agencies to ensure we are prioritizing their unique needs and providing them our fullest support. We
Since the general availability of Azure Data Lake Storage (ADLS) Gen2 in Feb 2019, customers have been getting insights for their big data analytics workloads at cloud scale. Integration to analytics engines is critical for their analytics workloads, and equally important is the ability to programmatically ingest, manage, and analyze data. This ability is critical for key areas of enterprise data lakes such as data ingestion, event-driven big data platforms, machine learning (ML), and advanced analytics. Programmatic access is possible today using ADLS Gen2 REST APIs, Blob REST APIs, or capabilities via Multi-Protocol Access. As part of our developer ecosystem journey, our goal is to make customer application development for programmatic access easier than ever before.
Towards this goal, we’re announcing the general availability of Python, .NET, Java, and JS filesystem SDKs for Azure Data Lake Storage (ADLS) Gen2 in all Azure regions. This includes support for CRUD operations for filesystem, directories, files, and permissions with filesystem semantics for ADLS Gen2. Customers can now use this familiar filesystem programming model to simplify application development for ADLS Gen2. These filesystem SDKs streamline our customers’ ability to ingest, manage, and analyze data for ADLS Gen2 and help them gain insights at cloud
Organizations and teams that adopt DevOps methodologies are consistently seeing improvements in their ability to deliver high-quality code, with faster release cycles, and ultimately achieve higher level of satisfaction for their own customers, whether they’re internal or external. Continuous Integration and Continuous Delivery (CI/CD) is one of the pillars of DevOps, consisting in automatically building, testing and deploying applications, but setting up a full CI/CD pipeline can be a complex task.
Today, we’re sharing the launch of the Deploy to Azure extension for Visual Studio Code. This new extension allows developers working in Visual Studio Code to seamlessly create, build, and deploy their apps in a continuous manner to the cloud, without leaving the editor.
Deploy to Azure extension
The Deploy to Azure extension works with both GitHub Actions and Azure Pipelines. It helps developers by auto-generating a CI/CD pipeline definition that takes care of building and deploying your app to the cloud with Azure. You can use Deploy to Azure extension to deploy application code present in your local system, or in Azure Repos or GitHub. We plan to expand the scope to other Git repositories in future.
You can use this extension to set up CI/CD pipeline for
Azure Network Watcher’s new and improved Connection Monitor now provides unified end-to-end connection monitoring capabilities for hybrid and Azure deployments. Users can now use the same solution to monitor connectivity for on-premises, Azure, and multi-cloud setups. In this preview phase, the solution brings together the best of two key capabilities—Network Watcher’s Connection Monitor and Network Performance Monitor’s (NPM) Service Connectivity Monitor. Check out the documentation and start using Connection Monitor to check connectivity in your network.
The monitoring question
Customers have long stressed over the need for unified connection monitoring for hybrid deployments, where complex applications transact across Azure, on-premises, and with other public applications to deliver business-critical functionality. These challenges escalate in multi-cloud environments. Monitoring teams then wrestle with basic challenges including:
Which monitoring solution to use in these complex set-ups? Do I need different monitoring solutions for on-premises and Azure or any other clouds? Where does my data go and how do I correlate data from multiple sources? How do I get the fastest alerts when things go wrong in my network? Connection Monitor in preview
With the new Connection Monitor, you can now configure both Azure and non-Azure virtual machines and hosts for monitoring connectivity to global