Rubrik, Inc.

Citrix Systems, Inc.

Muraliraja Muniraju

Abhishek Kumar

Nastaran Baradaran

Shaomin Chen

Junchao Zhang

Hongbo Zou

Harmeet Kaur

Angela Huang

Deepak Nagaraj

Fabiano C Botelho

Mudit Malpani

Anshul Mohan Gupta

Adam Gee

Shivanshu Agrawal

Daniel Hefenbrock

Takeshi Suzuki

Shuhan Chen

Oluwasoji Omiwade

Nandish Kotadia

Akhil Singh

Shiva Kumar Meka

Joseph Michael Harlan

A data management platform may group a first instance of a set of virtual machines into a backup group for performing a backup of data from a source data storage environment to a target data storage environment in accordance with a backup configuration. The data management platform may receive, from a user, an input to create a second instance of the set of virtual machines at the target data storage environment. In some examples, data backed up to the target data storage environment from the first instance may be configured as a source for the second instance. The data management platform may instantiate, in response to receiving the input, the second instance of the set of virtual machines using the backup configuration for the first instance of the set of virtual machines and the data backed up to the target data storage environment.

Techniques for using data backup and disaster recovery configurations for application management

Techniques for data management at a data management system are described. Characteristics for a set of computing objects managed by a computing system may be determined. The characteristics determined for the set of computing objects may be used to group the computing objects into groups. Based on grouping the computing objects, instructions for recovering the computing objects may be generated. The instructions may be provided to a user as a suggestion. Based on receiving a selection of the suggested instructions, the suggested instructions may be configured for a recovery of the computing objects of the computing system.

Suggesting blueprints for recovering computing objects

Methods, systems, and devices for data management are described. A data management system (DMS) may obtain a snapshot of a file system that includes multiple files and permission sets associated with the files. A permission set may indicate one or more access approvals for associated principals. The DMS may scan the files to identify unique pairs each including a unique combination of a respective permission set and a respective sensitive information type. The DMS may store a first mapping that maps the unique pairs to respective values that indicate an amount of sensitive information, of the respective sensitive information type, that is included in one or more files associated with the unique pair. The DMS may identify a respective set of sensitive data types included in files to which a principal has access based on the first mapping and an evaluation of the permission sets.

Aggregation of policy information for principals associated with a file system

A storage appliance may be configured to perform a method to evaluate a failover procedure. The method may include receiving a trigger indication to perform a test failover procedure for a plurality of virtual machines and identifying, based on receiving the trigger indication, a set of procedures for performing a full failover procedure on a target system based at least in part on a recovery configuration for the plurality of virtual machines. The method may include selecting a subset of test procedures of the set of procedures, causing execution on the target system of the subset of test procedures on a subset of virtual machines of the plurality of virtual machines, and calculating, based at least in part on the execution of the subset of test procedures on the subset of virtual machines, a success metric associated with the full failover procedure for the plurality of virtual machines.

Application recovery configuration validation

Methods, systems, and devices for data management are described. A data management system (DMS) may obtain metadata associated with a snapshot stored by the DMS and including information associated with data paths in the snapshot. The DMS may scan an index registry for identifiers of the data paths to determine whether the index registry includes namespace and hierarchical index information that map the data paths to path identifiers and to descendent data paths within the snapshot, respectively. The DMS may generate term and count index information based on the metadata. The term and count index information may map terms to data paths that include the terms and numerical values associated with the terms, respectively. The DMS may store, in the index registry, the term and count index information with an identifier of a corresponding index group. The namespace and hierarchical index information may be common to multiple index groups.

Metadata search, filtering, and aggregation using indexes

The present disclosure is directed towards systems and methods of detecting a cause of anomalous load balancing among a plurality of servers. A device intermediary to a plurality of clients and a plurality of servers collects values of a plurality of counters. The device identifies a server of the plurality of servers that is an outlier. The device can identify a counter of the plurality of counters that is an outlier based on at least a comparison of values of each of the plurality of counters for each of the plurality of servers. The device can provide, responsive to the determination, an indication that a value of the counter is a factor causing the server to have uneven load balancing during the time interval.

Detecting uneven load balancing through multi-level outlier detection

A method of managing a virtual machine environment is described. According to the method, a cloud application that is used for management of a plurality of virtual machines may receive, from a first virtual machine, an indication of one or more configuration parameters associated with the first virtual machine. The cloud application may generate an executable package based on metadata associated with the first virtual machine. The executable package may be configured to be executable by a set of default drivers on a second virtual machine upon bootup of the second virtual machine to configure the second virtual machine in accordance with the one or more configuration parameters. The cloud application may transmit, to the second virtual machine, the executable package for configuring the second virtual machine in accordance with the one or more configuration parameters.

Techniques for package injection for virtual machine configuration

Described embodiments provide systems and methods for detecting outliers on a series of data. A device receives a plurality of data points and adds a received data point to a first window of data comprising at least a predetermined number of received data points from the plurality of data points, responsive to detecting that the received data point is not an outlier from the first window of data. The device detects that one or more next data points of the received plurality of data points are outliers from the first window of data and determines that a count of the one or more next data points that are outliers exceeds a predetermined threshold. In response, the device establishes a replacement window of data.

Detecting outliers in server transaction time as a form of time series data

The present solution is directed to systems and methods for providing, by a device intermediary to a plurality of clients and one or more servers, analytics on a stream of network packets traversing the device. The systems and methods include the device identifying, while the device manages network traffic between the plurality of clients and the one or more servers, a stream of network packets, from a plurality of streams of network packets of the network traffic traversing the device, corresponding to a flow identifier, e.g., a selected one of an internet protocol address, a uniform resource locator or an application identifier. The systems and methods may include a collector of the analytics engine collecting, while the device manages network traffic, metrics on the identified stream of network packets and generating one or more stream objects that comprise the collected metrics.

Growing community of inventors

Fremont, CA, United States of America

Muraliraja Muniraju