Google Inc.

Parag Kacharulal Sarda

Pankaj Risbood

Vivek Sahasranaman

Rohit Jain

Vittaldas Sachin Shenoy

Rahul S Kulkarni

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selection of ranked configurations. In one aspect, a method includes providing a plurality of class definitions for selection, each class definition modeling a respective data or functional component of a cloud-based environment using a group of configurable class parameters, each class definition supporting instantiation and inheritance of the class definition in a configuration specification for a cloud-based deployment; deriving respective performance metrics associated with each of the plurality of class definitions based on aggregated performance of multiple cloud-based deployments, wherein the multiple cloud-based deployments had been carried out according to respective configuration specifications that require instantiation of the class definition or a new class definition derived from the class definition; and utilizing the respective performance metrics associated with each of the plurality of class definitions in ranking the plurality of class definitions.

Cloud-based deployment using templates

Cloud-based deployment using object-oriented classes

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for high-level language for specifying configurations of cloud-based deployments. In one aspect, a method includes receiving a configuration specification for configuring a cloud-based deployment, the configuration specification being written in a specification language and requiring instantiation of respective class definitions of one or more classes, each class modeling a respective data or functional component of the cloud-based deployment using a group of configurable class parameters, and the respective class definition of each class representing a requested state of the data or functional component modeled by the class; deriving a plurality of application programming interface (API) calls for configuring the cloud-based deployment based on the class definitions of the one or more classes; causing the plurality of API calls to be executed to configure the cloud-based deployment.

High-level language for specifying configurations of cloud-based deployments

In general, the subject matter described in this specification can be embodied in methods, systems, and program products for correlating status information generated in a computer network. A computing system receives, for each particular computer server or application program in a group of computer servers and application programs that are executing on the computer servers, information that identifies statuses of the particular computer server or application program at a plurality of times. The computing system generates, using the information received, network signatures that each represent statuses of the computer servers and application programs in the group for a particular time, the network signatures being for multiple times. The computer system stores the network signatures along with data that identifies relationships, for each of the multiple times, between (i) application programs and the computer servers on which they were executing, and (ii) application programs that were in communication with each other.

Correlating status information generated in a computer network

Selection of ranked configurations

This document generally describes techniques, methods, systems, and computer program products for monitoring and managing applications running on virtual machines (VMs).

Monitoring and automatically managing applications

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a mathematical model to predict whether a future software update will be applied to one of the one or more computing devices using information collected from the devices, the collected information including the following for each of a plurality of software updates made available during the one or more time periods: an identification of software to which the update applies, whether the software update was installed on any of the computing devices, and, if so, whether the software installation was successful.

Automated software updating based on prior activity

A high-level object-oriented specification language allows configurable components of a cloud-based deployment to be modeled by a class definition that includes a group of configurable class parameters. The object-oriented specification language supports extension of an existing base class definition to create new class definitions, and supports inheritance of class parameters from the existing base class definition by the new class definitions. A cloud-based deployment can be customized based on class definitions used in configuring one or more generic deployments, such as by modifying class parameter values of the class definitions, varying interrelationships between the classes, and supplementing existing class parameters with new class parameters. The high-level object-oriented specification language supports class definitions that model hardware and virtual resources as well as software roles and service roles served by software applications and services in a cloud-based deployment. Syntax for specifying dependency and connectivity between classes is also provided.

Growing community of inventors

Bengaluru, India

Parag Kacharulal Sarda