Category: Azure

Feed: Microsoft Azure Blog. Author: Jonathan Federico. We recently shared the public preview of the Windows Virtual Desktop service on Azure. Now customers can access the only service that delivers simplified management, multi-session Windows 10, optimizations for Office 365 ProPlus, and support for Windows Server Remote Desktop Services (RDS) desktops and apps. With Windows Virtual Desktop, you can deploy and scale your Windows desktops and apps on Azure in minutes, while enjoying built-in security and compliance. This means customers can now virtualize using multi-session Windows 10, Windows 7, and Windows Server desktops and apps (RDS) to Windows Virtual Desktop for ... Read More

Feed: Microsoft Azure Blog. Author: Rimma Nehme. We’re excited to announce that Forrester has named Microsoft as a Leader in The Forrester Wave™: Big Data NoSQL, Q1 2019 based on their evaluation of Azure Cosmos DB. We believe Forrester’s findings validate the exceptional market momentum of Azure Cosmos DB and how happy our customers are with the product. NoSQL platforms are on the rise According to Forrester, “half of global data and analytics technology decision makers have either implemented or are implementing NoSQL platforms, taking advantage of the benefits of a flexible database that serves a broad range of use ... Read More

Feed: Microsoft Azure Blog. Author: David Armour. Self-service is core to Infrastructure-as-a-Service (IaaS). Back in the virtualization days, you had to wait for someone to create a VLAN for you, carve out a LUN, and find space on a host. If Microsoft Azure ran that way, we would have needed to hire more and more admins as our cloud business grew. Do it yourself A different approach was required, which is why IaaS is important. Azure's IaaS gives the owner of the subscription everything they need to create virtual machines (VMs) and other resources on their own, without involving an ... Read More

Feed: Microsoft Azure Blog. Author: Wolfgang Pauli. As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode). Then, we hand off the resultant model to an app developer who integrates it into the larger application and deploys it. Often times, any bugs or performance issues go undiscovered until the application has already been deployed. The resulting friction between app developers and data scientists to identify and fix the root cause can be a slow, frustrating, and expensive process. As AI is ... Read More

Feed: Microsoft Azure Blog. Author: Justin Slade. As the manufacturing industry tackles some significant challenges including an aging workforce, compliance issues, and declining revenue, the Internet of Things (IoT) is helping reinvent factories and key processes. At the heart of this transformation journey is the design and use of IoT-enabled machines that help lead to reduced downtime, increased productivity, and optimized equipment performance. Learn how you can apply insights from real-world use cases of IoT-enabled intelligent manufacturing when you attend the Manufacturing IoT webinar on March 28th. For additional hands-on, actionable insights around intelligent edge and intelligent cloud IoT solutions, ... Read More

Feed: Microsoft Azure Blog. Author: Daniel Schneider. With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale. This week, we are excited to announce two integrations that Microsoft and NVIDIA have built together to unlock industry-leading GPU acceleration for more developers and data scientists. Azure Machine Learning service is the first major cloud ML service to integrate RAPIDS, an open source software library from NVIDIA that allows traditional machine learning practitioners to easily accelerate their pipelines with NVIDIA GPUs ONNX Runtime has integrated the NVIDIA TensorRT acceleration library, enabling deep ... Read More

Feed: Microsoft Azure Blog. Author: Mujtaba Hamid. This blog post was co-authored by Patrick Mendenall, Principal Program Manager, Azure.  We are excited to join the Game Developers Conference (GDC) this week to learn what’s new and share our work in Azure focused on enabling modern, global games via cloud and cloud-native technologies. Cloud computing is increasingly important for today’s global gaming ecosystem, empowering developers of any size to reach gamers in any part of the world. Azure’s 54 datacenter regions, and its robust global network, provides globally available, high performance services, as well as a platform that is secure, reliable, and ... Read More

Feed: Microsoft Azure Blog. Author: Morgan Grobin. Azure Monitor Availability Testing allows you to monitor the availability and responsiveness of any HTTP or HTTPS endpoint that is accessible from the public internet. You don't have to add anything to the web site you're testing. It doesn't even have to be your site, you could test a REST API service you depend on. This service sends web requests to your application at regular intervals from points around the world. It alerts you if your application doesn't respond, or if it responds slowly. At the end of this month we are deploying ... Read More

Feed: Microsoft Azure Blog. Author: Harini Gupta. A few months ago, I shared best practices for alerting on metrics with Azure Database for PostgreSQL. Though I was able to cover how to monitor certain key metrics on Azure Database for PostgreSQL, I did not cover how to monitor and alert on the performance of queries that your application is heavily relying on. As a PostgreSQL database, from time to time you will need to investigate if there are any queries running indefinitely on a PostgreSQL database. These long running queries may interfere with the overall database performance and likely get ... Read More

Feed: Microsoft Azure Blog. Author: Ram Shankar Siva Kumar. Last week we launched Azure Sentinel, a cloud native SIEM tool. Machine learning (ML) in Azure Sentinel is built-in right from the beginning. We have thoughtfully designed the system with ML innovations aimed to make security analysts, security data scientists, and engineers productive. The focus is to reduce alert fatigue and offer ML toolkits tailored to the security community. The three ML pillars in Azure Sentinel include Fusion, built-in ML, build your own ML. Fusion Alert fatigue is real. Security analysts face a huge burden of triage as they not only ... Read More