Vmware, Inc.

Wmware, Inc.

Manoj Krishnan

Keith Farkas

Gabriel Tarasuk-Levin

Elisha Ziskind

Joanne Ren

Igor Tarashansky

Maarten Wiggers

Prafulla Mahindrakar

Anne Holler

Aalap Desai

Rahul Chandrasekaran

Ravi Kant Cherukupalli

Anant Agarwal

Anil Kapur

Kevin Scott Christopher

Ivaylo Petkov Strandzhev

Stoimen Gerenski

Jesse Andrew Mendonca

Rohan Patil

Prafull Kumar Jha

Ravi Cherukupalli

A number of hosts in a logical cluster is adjusted up or down in an elastic manner by tracking membership of hosts in the cluster using a first data structure and tracking membership of hosts in a spare pool using a second data structure, and upon determining that a triggering condition for adding another host is met and that all hosts in the cluster are being used, selecting a host from the spare pool, and programmatically adding an identifier of the selected host to the first data structure and programmatically deleting the identifier of the selected host from the second data structure.

System and method for managing size of clusters in a computing environment

Processes for managing computing processes within a plurality of data centers configured to provide a cloud computing environment are described. An exemplary process includes executing a process on a first host of a plurality of hosts. When the process is executing on the first host, a first network identifier associated with the plurality of hosts is not a network identifier of a pool of network identifiers associated with the cloud computing environment and first and second route tables respectively corresponding to first and second data centers of the plurality of data centers associate the first network identifier with the first host. The exemplary process further includes detecting an event associated with the process. In response to detecting the event associated with the process, the first and second route tables are respectively updated to associate the first network identifier with a second host of the plurality of hosts.

Support for multi-AZ management appliance networking

Techniques are disclosed for reallocating host resources in a virtualized computing environment when certain criteria have been met. In some embodiments, a system identifies a host disabling event. In view of the disabling event, the system identifies a resource for reallocation from a first host to a second host. Based on the identification, the computer system disassociates the identified resource's virtual identifier from the first host device and associates the virtual identifier with the second host device. Thus, the techniques disclosed significantly reduce a system's planned and unplanned downtime.

Method for repointing resources between hosts

Methods and devices for providing reserved failover capacity across a plurality of data centers are described herein. An exemplary method includes determining whether a management process is executing at a first data center corresponding to a first physical location. In accordance with a determination that the management process is not executing at the first data center corresponding to the first physical location a host is initiated at a second data center corresponding to a second physical location and the management process is executed on the initiated host at the second data center corresponding to the second physical location.

Reserving failover capacity in cloud computing

The present disclosure describes a technique for honoring virtual machine placement constraints established on a first host implemented on a virtualized computing environment by receiving a request to migrate one or more virtual machines from the first host to a second host and without violating the virtual machine placement constraints, identifying an architecture of the first host, provisioning a second host with an architecture compatible with that of the first host, adding the second host to the cluster of hosts, and migrating the one or more virtual machines from the first host to the second host.

Honoring resource scheduler constraints during maintenances

Disclosed are aspects of proactive high availability that proactively identify and predict hardware failure scenarios and migrate virtual resources to healthy hardware resources. In some aspects, a mapping that maps virtual resources to hardware resources. A plurality of hardware events are identified in association with a hardware resource. A hardware failure scenario is predicted based on a health score of a first hardware resource. A health score is determined based on the hardware events, and a fault model that indicates a level of severity of the hardware events. A particular virtual resource is migrated from the hardware resource to another hardware that has a greater health score.

Proactive high availability in a virtualized computer system

A system for monitoring a virtual machine executed on a host. The system includes a processor that receives an indication that a failure caused a storage device to be inaccessible to the virtual machine, the inaccessible storage device impacting an ability of the virtual machine to provide service, and applies a remedy to restore access to the storage device based on a type of the failure.

Protecting virtual machines against storage connectivity failures

The present disclosure is related to systems and methods for protecting virtual computing instances. An example system can include a first virtual computing instance (VCI) deployed on a hypervisor and provisioned with a pool of physical computing resources. The hypervisor and the first VCI can operate according to a first configuration profile. The system can include a fault domain manager (FDM) running on a second VCI that is deployed on the hypervisor and provisioned by the pool of physical computing resources. The FDM can be configured to provide high availability support for the first VCI, and the FDM can operate according to a second configuration profile. The system can further include a hypervisor manager running on the second VCI. The hypervisor manager can be configured to facilitate interaction between the FDM and the hypervisor by translating between the first configuration profile and the second configuration profile.

Protecting virtual computing instances

The subject matter described herein is generally directed towards detection and remediation of virtual computing instance (VCI) failure on host devices. Monitoring is performed to detect suspected failures of different guest operating systems, identify failure information, and perform remediation to provide high availability for the VCI.

Detecting a guest operating system crash on a virtual computing instance

A method of managing virtual resources executing on a hardware platform that employs sensors to monitor the health of hardware resources of the hardware platform, includes filtering sensor data from the hardware platform and combining the sensor data with a fault model for the hardware platform to generate a health score, receiving an inventory that maps the virtual resources to the hardware resources of the hardware platform, receiving resource usage data describing use of the hardware resources of the hardware platform by the virtual resources, and generating resource utilization metrics from the resource usage data. The method includes receiving policy data specifying rules applicable to the inventory, determining a set of recommendations for changes to the inventory based on the health score, the resource usage data, and the policy data, and executing at least one recommendation to implement the changes to the inventory.

The subject matter described herein provides virtual computing instance (VCI) component protection against networking failures in a datacenter cluster. Networking routes at the host level, VCI level, and application level are monitored for connectivity. Failures are communicated to a primary host or to a datacenter virtualization infrastructure that initiates policy-based remediation, such as moving affected VCIs to another host in the cluster that has all the necessary networking routes functional.

Growing community of inventors

Sunnyvale, CA, United States of America

Manoj Krishnan