Oracle International Corporation

Nutanix, Inc.

Tessell, Inc.

Balasubrahmanyam Kuchibhotla

Kamaldeep Singh Khanuja

Bharat Shrikrishna Paliwal

Bakul Banthia

Hariprasanna Srinivasan

Shachi Sanklecha

Jimmy Saricos

Paul James Tangen

Thomas Kurian

Jeremy Launier

Sagar Sontakke

Maneesh Rawat

Ramalakshmi Vaidhiyanathan

Sujit Menon

Jonathan D Klein

Karl Dias

Wei-Ming Hu

Mark Dilman

Michael James Stewart

Anil Madan

Hubert Ken Sun

Srivatsan Vijayaraghavan

Uday Kiran Jonnala

Manish Pratap Singh

Yashesh Mankad

Melina Susanne McLarty

Jeremy Sallee

Prakash Babu Jaganathan

Sanjay Chinnappaiah Ediga

Gary C Ngai

Mark Charles Ramacher

Margaret Susairaj

Leng Leng Tan

Ravi Pattabhi

Akanksha Sheoran Kaler

Matthew Stephen McKerley

Sudip Datta

Anupama Vale

Supratim Choudhury

Margaret Susairai

Abhishek Sureshkumar

Adeesh Fulay

Mahesh Vasishtha

Sumankumar Pramanik

Display screen with an animated graphical user interface for monitoring data flow

A multi-cluster database management system includes a first cluster in a database management system of a virtual computing system, a second cluster in the database management system, a server on the first cluster, a first agent on the first cluster, and a second agent on the second cluster. The server provides a database management service to a first database stored on the first cluster via the first agent and to a second database stored on the second cluster via the second agent.

Multi-cluster database management system

Systems, methods, and computer readable media for preventing data loss at ephemeral and/or volatile storage of a local storage system are provided. These techniques may include synchronizing that state of the ephemeral storage system to a cloud-based storage system and capturing a cloud snapshot of the cloud-based storage system. In the event of a failure at the volatile storage, the cloud-based snapshot can be used as a restore point for the cloud-based storage system, the state of which can then be synchronized back to the volatile storage. Additionally, the local storage system includes durable storage for storing transaction logs. After synchronizing the state of the cloud-based storage system to the volatile storage, the local storage system can playback transactions in the transaction log to restore the volatile segment to the state at the time of the failure.

Systems and methods for preventing data loss

A system and method include receiving, by a database engine of a database system associated with a virtual computing system, a user request via a dashboard for provisioning a source database with the database system, receiving, by the database engine via the dashboard, selection of a database engine type, and receiving, by the database engine via the dashboard, selection of a Service Level Agreement ('SLA') and a protection schedule. The system and method also include provisioning, by the database engine, the source database based upon the database engine type, creating, by the database engine, an instance of a database protection system based upon the SLA and the protection schedule, including associating the instance of the database protection system with the source database, and displaying, by the database engine, the source database within the dashboard.

System and method for provisioning databases in a hyperconverged infrastructure system

Systems, methods, and computer readable media for snapshotting ephemeral and/or volatile storage systems are provided. These techniques may include synchronizing that state of the ephemeral storage system to a cloud-based storage system and capturing a cloud snapshot of the cloud-based storage system. To reduce the time to capture a cloud snapshot, techniques disclosed herein include obtaining sets of pending data changes to the ephemeral storage system that have not been synchronized to the cloud-based storage system. When the pending data changes satisfy a threshold metric, the pending data changes may then be synchronized to the ephemeral storage system on a rolling basis.

Systems and methods for ephemeral storage snapshotting

A multi-cluster configuration of a database management system in a virtual computing system includes a server that defines a first policy for a source database on a first cluster of a plurality of clusters. Each of the plurality of clusters is registered with the server and the first policy defines capture of snapshots and/or transactional logs from the source database on the first cluster. The server defines a second policy for the source database to replicate at least some of the snapshots and/or transactional logs from the first cluster to a second cluster of the plurality of clusters, captures a first snapshot and/or a first transactional log from the source database in accordance with the first policy, and replicates the first snapshot and/or the first transactional log to the second cluster in accordance with the second policy.

Multi-cluster database management services

A database system associated with a plurality of source databases in a virtual computing system includes a dashboard having a main menu for providing a plurality of control functions and a body that dynamically changes based upon the plurality of control functions that are selected. The dashboard includes a homepage for displaying a plurality of cells in the body, including a first cell for displaying a list of the plurality of source databases. The main menu includes a first control function, the selection of which triggers a database provisioning service by presenting options to either create a new source database or register an existing database within the body and a second control function, the selection of which triggers a copy data management service by presenting an option to create a new cloned database.

User interface for database management services

A system and method include associating, by a database system of a virtual computing system, a protection schedule with each source database provisioned in the database system, the protection schedule defining a frequency of capturing snapshots and a frequency of capturing transactional logs, capturing, by the database system for each of the source databases, snapshots and transactional logs based upon the frequency of capturing snapshots and the frequency of capturing transactional logs, respectively, and receiving, by the database system, a request identifying a point in time for creating a cloned database from a first source database. The system and method also include retrieving, by the database system, the snapshots and the transactional logs corresponding to the point in time and creating, by the database system, the cloned database by combining data in storage locations identified in the transactional logs and the data in remaining storage locations identified in the snapshots.

System and method for protecting databases in a hyperconverged infrastructure system

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

Display screen or portion thereof with a user interface for a database time-machine

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San Ramon, CA, United States of America

Balasubrahmanyam Kuchibhotla