Thursday, November 10, 2022
“Earlier this year, we introduced Project Flash in the Advancing Reliability blog series, to reaffirm our commitment to empowering Azure customers in monitoring virtual machine (VM) availability in a…
Monday, October 3, 2022
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. AiDice captures incidents quickly and provides engineers with important context that helps them diagnose issues more effectively, providing the best experience possible for end customers.
Monday, February 14, 2022
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.
Monday, November 22, 2021
The most critical promise of our identity services is ensuring that every user can access the apps and services they need without interruption. We’ve been strengthening this promise to you through a multi-layered approach, leading to our improved promise of 99.99 percent authentication uptime for Azure Active Directory (Azure AD).
Thursday, September 30, 2021
Microsoft’s cloud supply chain is essential to deliver the infrastructure—servers, storage, and networking gear—that enables cloud reliability and growth. Our vision is for cloud capacity to be available like a utility so that customers can seamlessly turn it on when and where they need it.
Monday, August 2, 2021
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.
Monday, July 12, 2021
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.
Wednesday, July 7, 2021
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. For today’s post in our Advancing Reliability blog series, we share insights into our journey as we work towards advancing our postmortem and resiliency threat modeling processes.
Wednesday, June 30, 2021
The continuous monitoring of health metrics is a fundamental part of this process, and this is where AIOps plays a critical role. In the post that follows, we introduce how AI and machine learning are used to empower DevOps engineers, monitor the Azure deployment process at scale, detect issues early, and make rollout or rollback decisions based on impact scope and severity.
Monday, June 7, 2021
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.