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We introduce AiDice, a novel anomaly detection algorithm developed jointly by Microsoft Research and Microsoft Azure that identifies anomalies in large-scale, multi-dimensional time series data.
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Azure confidential computing with NVIDIA GPUs for trustworthy AI
Confidential computing technology encrypts data in memory and only processes it once the cloud environment is verified, helping protect data from cloud operators, malicious admins, and privileged software. -
Advancing Azure Virtual Machine availability monitoring with Project Flash
Today, we’re excited to announce the completion of the project’s first two milestones—the preview of VM availability data in Azure Resource Graph, and the private preview of a VM availability metric in Azure Monitor. -
Advancing service resilience in Azure Active Directory with its backup authentication service
The most critical promise of our identity services is ensuring that every user can access the apps and services they need without interruption. -
Key foundations for protecting your data with Azure confidential computing
The exponential growth of datasets has resulted in growing scrutiny of how data is exposed—both from a consumer data privacy and compliance perspective. -
Advancing reliability through a resilient cloud supply chain
Microsoft’s cloud supply chain is essential to deliver the infrastructure—servers, storage, and networking gear—that enables cloud reliability and growth. -
Advancing Azure Virtual Machine availability transparency
Now, in addition to getting a fast notification when a VM’s availability is impacted, customers can expect a root cause to be added at a later point once our automated Root Cause Analysis (RCA) system identifies the failing Azure platform component that led to the VM failure. -
Advancing application reliability with the Azure Well-Architected Framework
We created the Azure Well-Architected Framework to help improve the quality of your workloads, and reliability is one of its five core pillars so for the latest post in our series, I have asked Cloud Advocate David Blank-Edelman to run through how best to approach using the framework to guide your conversations and design decisions in this space. -
Advancing resiliency threat modeling for large distributed systems
All service engineering teams in Azure are already familiar with postmortems as a tool for better understanding what went wrong, how it went wrong, and the customer impact of the related outage. -
Advancing safe deployment with AIOps—introducing Gandalf
The continuous monitoring of health metrics is a fundamental part of this process, and this is where AIOps plays a critical role. -
Advancing in-datacenter critical environment infrastructure availability
There are many factors that can affect critical environment infrastructure availability—the reliability of the infrastructure building blocks, the controls during the datacenter construction stage, effective health monitoring and event detection schemes, a robust maintenance program, and operational excellence to ensure that every action is taken with careful consideration of related risk implications. -
Advancing Azure business continuity management
If you ask three people what a service is, you may get three different answers.