Oracle International Corporation

Codanda Ganapathy Chinnappa

Richard P Mousseau

John Herendeen

Franklin Fulton Simpson

Rajiv Mordani

Mark Spotswood

Michael Jasnowski

Ravi Sankar Akella

Masoud Kalali

Patrick Vinograd

Chris Broadbent

Padraic Russell

Yonatan Graber

Described herein is a system and method for virtual assembly patching in a cloud environment. In accordance with an embodiment, a virtual assembly builder can be used to virtualize installed components in a reference environment, and then deploy those components into another destination environment. A user can capture the configuration and binaries of software components into software appliance artifacts, which can be grouped and their relationships defined as software assembly artifacts. In accordance with an embodiment, assemblies stored as disk images in a repository can be patched by creating replacement images, importing the replacement images into the virtualization environment, and then performing a replacement or swap of an instance's existing virtual disks, with patched versions of those disks.

System and method for virtual assembly patching in a cloud environment

A system and method can manage software services in virtualized and non-virtualized environments. A plurality of data collection components in a computing environment can include a plurality of virtual machines running on the one or more microprocessors, wherein the plurality of virtual machines are adapted to be deployed with services and applications. Each data collection component operates to use one or more data structures to communicate with a data consumer, wherein each data structure describes metrics to be collected by said data collection component and is capable of containing collected metric values.

System and method for performance data collection in a virtual environment

A system and method can deploy and manage software services in virtualized and non-virtualized environments. The system provides an enterprise application virtualization solution that allows for centralized governance and control over software and Java applications. Operations teams can define policies, based on application-level service level agreements (SLA) that govern the allocation of hardware and software resources to ensure that quality of service (QoS) goals are met across virtual and non-virtualized platforms. The system use a rules engine that can compare administrator defined constraints with runtime metrics; generate events when a constraint is violated by a metric of the runtime metrics and generate events when a constraint is violated by a metric of the runtime metrics.

Operation control for deploying and managing software service in a virtual environment

A system and method can deploy and manage software services in virtualized and non-virtualized environments. The system provides a data consumer that manages a plurality of data collectors, wherein each data collector resides on one of the plurality of virtualized and non-virtualized machines in the computing environment and extracts performance data from a set of Virtual Machines running on a specific compute resource using an operating contract. The operating contract includes one or more metric descriptors, wherein each metric descriptor specifies one or more resources associated with the set of Virtual Machines. In addition, a push manager allows the data consumer to register performance data items that need to be handled, wherein the push manager calls the data consumer to process the performance data items at each time the periodic interval elapse.

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Marblehead, MA, United States of America

Codanda Ganapathy Chinnappa