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 […]
Azure Stack IaaS – part five
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 […]
Breaking the wall between data scientists and app developers with Azure DevOps
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 […]
The Value of IoT-Enabled Intelligent Manufacturing
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 […]
6 Big Companies That Succeeded With Cloud Computing
Cloud computing isn’t right for every company, but an increasing number of enterprises realize that it helps them grow their businesses and meet other goals. Here are six examples of large companies that found cloud computing success. 1. General Electric General Electric (GE) began its digital transformation in 2014, but three years later, it chose […]
Microsoft and NVIDIA bring GPU-accelerated machine learning to more developers
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 […]
Microsoft Azure for the Gaming Industry
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 […]
March 2019 changes to Azure Monitor Availability Testing
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. […]
Securely monitoring your Azure Database for PostgreSQL Query Store
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. […]
Reducing security alert fatigue using machine learning in Azure Sentinel
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 […]