Nutanix, Inc.

Pernixdata, Inc.

Bryan Jeffrey Crowe

Satyam B Vaghani

Akhilesh Joshi

Shyan-Ming Perng

Deepak Muley

Amit Jain

Himanshu Shukla

Michal Ostrowski

Rahul Singh

Shyama Sundar Duriseti

Ken Chen

Jibin Varghese

Harry Hai Yang

Atreyee Maiti

Sanika Nitin Mokashi

Sandeep Madhusudan Karmarkar

Satish Ramachandran

Shamita Pisal

Shankar Vilayannur Natarajan

Sanika Mokashi

A platform-as-a-service (PaaS) manager abstracts deployment of PaaS software stacks to different computing platforms such that the PaaS software stacks provide a common platform to host an application despite differences in the underlying architectures of the computing platforms. Each PaaS software stack is hosted on a service domain installed on a respective one of the computing platforms, and includes an operating system and provides access to a set of services for execution of applications. The some examples, the different computing platforms include multiple different cloud architectures.

Platform-as-a-service deployment including service domains

A system and method include receiving, by a troubleshooting system of a virtual computing system, a search query for troubleshooting a problem associated with a component of the virtual computing system. The search query is received via a troubleshooting interface of the troubleshooting system. The system and method also include parsing the search query, including associating a troubleshooting category with the parsed search query, determining possible causes of the problem from the troubleshooting category, and ranking the possible causes based on a pre-determined criteria. The system and method additionally include displaying a subset of highest ranked possible causes of the problem on the troubleshooting interface.

System and method for troubleshooting in a virtual computing system

Display screen or portion thereof with graphical user interface for disaster recovery infrastructure

Example distributed caching systems and methods are described. In one implementation, a system has multiple host systems, each of which includes a cache resource that is accessed by one or more consumers. A management server is coupled to the multiple host systems and presents available cache resources and resources associated with available host systems to a user. The management server receives a user selection of at least one available cache resource and at least one host system. The selected host system is then configured to share the selected cache resource.

Distributed caching systems and methods

Fault domains are defined which reflect, either physically or virtually, the topology of a networked computing environment. These defined fault domains are then used to control where cached data is replicated when running in a write back cache mode. Unlike known replication approaches, the present approach replicates such data according to a user's defined data policy and based on the defined fault domains thereby avoiding the user having to keep track of changes in computing system configurations or update their data policy when virtual machines migrate from one host computing system to another.

Management and utilization of fault domains in distributed cache systems

Growing community of inventors

Santa Clara, CA, United States of America

Bryan Jeffrey Crowe