Oracle International Corporation

Bharat Shrikrishna Paliwal

Balasubrahmanyam Kuchibhotla

Kamaldeep Singh Khanuja

Hariprasanna Srinivasan

Shachi Sanklecha

Thomas Kurian

Jimmy Saricos

Srivatsan Vijayaraghavan

Gaurav Manglik

Akanksha Sheoran Kaler

Ramalakshmi Vaidhiyanathan

Debashis Saha

Pallab Rath

Matthew Stephen McKerley

Hozefa Yusuf Palitanawala

Vijay Simha Joshi

Rajat Nigam

John Chaitanya Kati

Prakash Babu Jaganathan

Sanjay Chinnappaiah Ediga

Sudip Datta

Rajiv Jayaraman

Adeesh Fulay

Mahesh Vasishtha

Inderbir Singh Pall

Pradeep Kumar Itharaju

Ramasubramaniyan Adhinarayanan

Vishwanath S Sastry

Nitin Jerath

Abhishek Sureshkumar

Techniques for automatically discovering and protecting sensitive data are disclosed. In some embodiments, a set of data objects is searched for data matching a first set of one or more regular expressions and for metadata matching a second set of one or more regular expressions. A confidence score is then generated for a particular data objects in the set of data objects as a function of regular expressions in the first set of one or more regular expressions that match data stored in the particular data object and regular expression in the second set of one or more regular expressions that match metadata associated with the particular data object. One or more operations may be performed to protect sensitive data stored in the particular data object based, at least in part, on the confidence score.

Systems and methods for securing data based on discovered relationships

A method, system, and computer program product for management of large multi-database installations. The method form commences by analyzing a multiple database installation to determine a set of candidate upgrade operations to apply to individual instances of heterogeneous databases in the multiple database installation, and then scheduling an order in which order to apply individual operations from among the set of candidate upgrade operations. In exemplary operation, the candidate upgrade operations comprise database version upgrades, database stack upgrades, and/or database listener upgrades. Some embodiments exploit homogeneity and/or groupings in order to parallelize performance of various upgrade operations during mass upgrade of multi-database installations. In addition to performing upgrade operations in the form of database version upgrades, database stack upgrades, and/or database listener upgrades, the installation can be upgraded by receiving application upgrades.

Upgrade of heterogeneous multi-instance database clusters

Techniques for automatically discovering relationships between data to enforce data security are disclosed. In some embodiments, a query analytic system receives a set of one or more queries that accesses data from a set of data objects and is generated by an application to accomplish an application-level function that is opaque to the query analytic system. The query analytic system detects a relationship between a first data object and a second data object based on access patterns associated with the set of one or more queries. The query analytic system further stores an indication that the first data object is related to the second data object. An operation that is performed against the first object may also be performed against the second object based on the stored indication. Additionally or alternatively, information about the second object may be displayed when information about related objects is requested for the first object.

In one or more embodiments, a cloud operation reservation system is provided through which cloud operations may be scheduled and managed. The cloud operation reservation system includes logic for defining a set of time windows that are available to perform one or more cloud operations on cloud targets and presenting the set of time windows to one or more tenants of a cloud service. Tenants may browse the presented set of time windows and submit reservation requests to update and/or perform other operations on cloud targets. In response to receiving, a request to reserve one or more slots in a particular time window, the cloud operation reservation system schedules one or more cloud operations to be performed on a cloud target that is available to at least one tenant.

Cloud operation reservation system

Techniques are described for standardizing configuration levels across a plurality of software deployments. In one embodiment, a standardization management system generates, based on a plurality of software deployments that have different source components, an end state definition that identifies a recommended standard set of source components for the plurality of software deployments. Based on the end state definition that identifies the recommended standard set of source components for the plurality of software deployments, the standardization management system generates an image that includes the standard set of source components for the plurality of software deployments. The image may be used to update software deployments that are part of the plurality of software deployments and do not include the standard set of source components.

Drift management of images

In one or more embodiments, a system defines a plurality of waves for performing a set of scheduled operations on a set of cloud targets within a particular time window, where the plurality of waves includes a first wave for performing scheduled operations on a first subset of cloud target and a second wave for performing scheduled operations on a second subset of cloud targets. During the first wave, a first subset of scheduled operations within the particular time window are performed on two or more target resources from the first subset of target resources. The system determines a rate of success for performing the first subset of scheduled operations on the two or more target resources from the first subset of target resources. If the rate of success does not satisfy the threshold, then the system delays or cancels operations from subsequent waves including the second subset of operations.

Systems and methodologies for defining and scheduling custom actions as cloud operations

In one or more embodiments, a system comprises logic for aggregating and analyzing cloud targets based on a variety of attributes. Responsive at least to receiving a selection of one or more attributes, the system: (a) aggregates, from a plurality of cloud targets, a set of cloud targets that includes a first cloud target supporting at least a first cloud service for a first tenant and a second cloud target supporting at least a second cloud service for a second tenant; (b) presents, through a display interface, the set of cloud targets that includes the first cloud target and the second cloud target; and (c) receiving, through the display interface, a second selection of an action to perform on at least one cloud target in the set of cloud targets. Responsive at least to the second selection, the system performs the action on at least one cloud target.

Centralized monitoring of cloud operations

Techniques are described for managing updates across one or more targets using standard software images. In one embodiment, a first version of a software application is deployed on a set of one or more targets. A software binary is then generated for an updated version of the software application. The software binary for the updated version of the software application is deployed to the set of one or more targets. While the software binary for the updated version of the software application is deployed, the previous version of the software application remains active on a particular target. The updated version of the software application is activated, using the software binary, on the particular target.

Deployment and activation of updates on target hosts

Populating content for a base version of an image

Disclosed are a system, method, and computer program product for a unified system for implementing clones. The unified system includes the appropriate infrastructure to create, maintain, and administer clones and supporting data sources in the computing environment. In addition, a user interface is provided that is capable of visually displaying relationships and lineages of sources and clones in the system. The user interface provides functionality to select any given object, and to trace its parent-child relationships to highlight its related parent and/or child source/clone.

Method and system for implementing a unified DB clone system

Techniques are described for standardizing software configuration levels across targets. In one embodiment, a subscription is maintained that identifies a group of targets that subscribe to a particular image, where the particular image represents a standard to follow for targets that belong to the group of targets. The particular image may further include a first image version having a first set of source components. In response to receiving an update to the particular image, a second image version is generated for the particular image, where the second image version includes a second set of source components that are different than the first set of source components. Two or more targets in the group of targets that subscribe to the particular image may be updated based on the second image version.

Version management of images

Growing community of inventors

Fremont, CA, United States of America

Bharat Shrikrishna Paliwal