Microsoft Technology Licensing, LLC

Binit Ranjan Mishra

Gaurav Jagtiani

Emma Sutherland Boyd

Scott Chao-Chueh Lee

Jason Stewart Wohlgemuth

James Anthony Schwartz, Jr

Abhay Sudhir Ketkar

Shekhar Agrawal

Hari R Pulapaka

Karan Mehra

James George Cavalaris

Emily Nicole Wilson

Shen Wang

Abhishek Kumar Singh

Avnish Kumar Chhabra

Li Xiong

Naga Govindaraju

Yuri Dotsenko

Cristina Del Amo Casado

Minsang Kim

Muhammad Usman Sharif

Li-Fen Wu

Aacer Hatem Daken

Cody D Hartwig

Steven Adrian West

Emily Cara Clemens

Peter Hanpeng Jiang

Yu Yao

Vijaybalaji Madhanagopal

Christina Marianne Curlette

David Wimmel

Mukhtar Ahmed

Yevgeniy Olegovich Razuvayev

Sri Harsha Kanukuntla

Drew Douglas Cross

Sharon Scarlet Tang

Jennifer Marie Bourlier

Terence Kwok Tak Chan

Reza Sherafat Kazemzadeh

Raz Meir Aloni

Tri Minh Tran

Shailesh Padmakar Joshi

Derek James Boyer

Harsh Gupta

Hariharan Jayaraman

Aravind Narayanan Krishnamoorthy

Amruta Bhalchandra Pathak

A computer system identifies an event from a management system log associated with a first container host. The presence of the event in the management system log is indicative that the first container host identified a fatal system error at the first container host. Based on the event, the computer system determines that a first instance of a container that is provisioned at the first container host has been isolated to the first container host. Based on the first instance of the container having been isolated to the first container host, the computer system instructs a second container host to provision a second instance of the container at the second container host.

Accelerated fatal system error recovery of container host

The present disclosure relates to utilizing a host failure recovery system to efficiently and accurately determine the health of host devices. For example, the host failure recovery system detects when a host server is failing by utilizing a power failure detection model that determines whether a host server is operating in a healthy power state or an unhealthy power state. In particular, the host failure recovery system utilizes a multi-layer power failure detection model that determines power-draw failure events on a host device. The failure detection model determines, with high confidence, the health of a host device based on power-draw signals and/or usage characteristics of the host device. Additionally, the host failure recovery system can initiate a quick recovery of a failing host device.

Utilizing power-draw device signals to improve the recovery of virtual machine host devices

In-place recovery of fatal system errors at virtualization hosts. A device identifies an occurrence of a fatal system error in the first instance of a host operating system (OS) executing in a computer system. The device determines to perform an in-place recovery for the fatal system error. The device performs the in-place recovery, including pausing the execution of a virtual machine (VM) by the first instance of the host OS, preserving a state of the VM within system memory of the computer system, and resuming the execution of the VM by a second instance of the host OS executing in the computer system based on the state of the VM that is preserved within the system memory of the computer system.

In-place recovery of fatal system errors at virtualization hosts

Systems, methods and computer program products are described herein that can be used to help achieve a safe rollout of software in a production datacenter environment. In accordance with certain embodiments, cloud services requests from certain users of a cloud services system (e.g., users that are authorized to receive cloud services via computing devices running test versions of infrastructure software) are dynamically matched to clusters (groups of commonly-managed computing devices called nodes) that are capable of providing the requested services on nodes running test versions of infrastructure software. Within such clusters, the requested services are provided to the users on a subset of cluster nodes that run a test version of an infrastructure software component, while the remaining cluster nodes are not running the particular test version.

Partitioning and orchestrating infrastructure software deployments for safety and agility across diverse configurations and hardware types

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Kenmore, WA, United States of America

Binit Ranjan Mishra