Hybrid + multicloud

We’re thrilled to have the NBA partner with Azure to modernize apps and deliver memorable customer experiences time and time again.

Gartner recently published its 2022 Magic Quadrant™ for Cloud Infrastructure and Platform Services (CIPS) report. For the ninth consecutive year, Microsoft was named a Leader, and for the first time placed furthest on the Completeness of Vision axis.

Azure Arc is a bridge that extends the Azure platform so you can build applications and services with the flexibility to run across datacenters, edge, and multicloud environments.

Distributed denial of service (DDoS) attacks are some of the largest availability and security concerns facing customers that are moving their applications to the cloud.

At Microsoft, we believe our Azure system and network management tools and expertise can be repurposed to manage and optimize telecommunication infrastructure as well. Here we describe some of the more interesting technologies that fit into the management of a cloud-based telecommunications infrastructure.

The Microsoft Intelligent Data Platform, empowers organizations to invest more time creating value rather than integrating and managing their data estate.

It’s clear that attacks on the national communications infrastructure will occur with much greater sophistication than ever before. Because of this, we continue to develop our networks and systems with security as our first principle and we stay constantly vigilant.

Today, we’re thrilled to announce two new security products driven by our acquisition of RiskIQ just over one year ago that deliver on our vision to provide deeper context into threat actors and help customers lock down their infrastructure.

Cloud adoption increased significantly during COVID-19 and continues for many companies. However, an enormous migration and modernization opportunity remains as organizations continue their digital transformation.

The growing adoption of data-driven and machine learning-based solutions is driving the need for businesses to handle growing workloads, exposing them to extra levels of complexities and vulnerabilities.

The capacity of a system to adjust to changes by adding or removing resources to meet demand is known as scalability. Here are some tests to check the scalability of your MLOps model.

Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range.