Emc IP Holding Company LLC

Dell Products Inc.

Emc Corporation

Texas Instruments Corporation

Gururaj Reddy Kulkarni

Shelesh Chopra

Vladimir Mandic

Mahantesh M Ambaljeri

Mahesh Reddy Appireddygari Venkataramana

Swaroop Shankar D H

Peter Armorer

Mahipat Rao Kulkarni

Harish Jayaram

Rahul Deo Vishwakarma

Scott Randolph Quesnelle

Mohammed Abdul Samad

Samad Mohammed

Girish Chandra Belmanu Sadananda

Min Liu

Mu Chai

Bala Vijayakumar

Anand Reddy

Priyank Tiwari

Manjunatha Hebbar

Roland Anthony Fernandes

Ramkumar Seetharaman

Uday Devidas Muchalambe

Sunil Kumar Yadav

Kalyan Chakravarthy Gunda

Kiran Bachu

Rakesh Kumar

Swaroop Shankar Dh

Michal Jacek Drozd

Ajith Gopinath

Somasunder Kattepura Sreenath

Chandrakantha T Nagaraja

Rangapuram Ravi Kishore Yadav

Lakshminarayanan Muniswamy

Preeti Sharma

Kiran Kumar Malle Gowda

Savitha Susan Bijoy

Yogesh Suresh

Mahesh Reddy Av

Chandan Muddamsetty

Pradeep Kumar Ubbala

Pavankumar Ati

Arun Kumar Bhaskar

Ati Pavan Kumar

Mahesh Kamath

Sathayamoorthy Viswanathan

Divya Nagaraj

Soumya Gupta

A method for managing a client environment includes obtaining a notification for an auto-generated service request, wherein the auto-generated service request is associated with a configuration of nodes in the client environment, in response to the notification: obtaining metadata associated with the auto-generated service request, analyzing the metadata to extract current node configuration details, comparing the current node configuration details to an node optimization model, making a determination, based on the comparing, that an optimization is required, based on the determination, performing a re-configuration on the nodes in the client environment.

System and method for managing automatic service requests for scaling nodes in a client environment

A method for managing a data protection module (DPM) includes: obtaining metadata associated with the DPM; analyzing the metadata to extract relevant data; making, based on the relevant data, a first determination that a resource-related change has occurred in the DPM; making, based on the first determination, a second determination that the resource-related change is an increased resource-related change; sending, based on the second determination, the relevant data to a vendor environment (VE) analyzer; in response to sending the relevant data, receiving a recommendation from the VE analyzer; sending the recommendation to a user of a client about the recommendation using a graphical user interface (GUI) of the client; making, after sending the recommendation to the user, a third determination that the DPM is not reconfigured by the user based on the recommendation; and resending, based on the third determination, the recommendation to the user using the GUI.

Method and system for reconfiguring a data protection module based on metadata

A method for managing a data protection module includes: obtaining client metadata associated with client environment (CE) data protection modules, in which the client metadata includes first product configuration information; obtaining vendor metadata associated with a vendor environment (VE) data protection module, in which the vendor metadata includes second product configuration information; analyzing the client metadata and vendor metadata to extract relevant data; obtaining product features that are commonly utilized by at least one user of the CE data protection modules; making a first determination that a mismatch exists between the client metadata and vendor metadata; generating a ranked list of the product features that are commonly utilized; identifying a product feature that has the highest rank in the ranked list; making a second determination that the mismatch is a vendor-related mismatch; and sending a recommendation to a user of the VE data protection module to manage the mismatch.

Method and system for identifying product features based on metadata

One example method includes obtaining hop information of a metadata path for backup metadata, obtaining content sensitivity information indicating a relative sensitivity of backup data to an attack, based on the hop information and the content sensitivity information, selecting an encryption to be applied to the backup metadata, and applying the encryption to the backup metadata. The backup data may be encrypted with the same encryption algorithm that was used to encrypt the backup metadata.

Adaptive metadata encryption for a data protection software

A method for managing a data protection module (DPM) includes: obtaining an alert generated by the DPM within a predetermined period of time; obtaining metadata associated with the DPM; analyzing the metadata to extract relevant data; analyzing the alert to extract second relevant data; making, based on the second relevant data, a determination that a tolerance level associated with the alert has been exceeded; sending, based on the determination, the alert, the relevant data, and the second relevant data to a vendor environment (VE) analyzer; in response to sending the alert, the relevant data, and the second relevant data, receiving a service request (SR) generated by the VE analyzer for the DPM; and providing the SR to the client to notify a user of the client about the SR using a graphical user interface (GUI) of the client.

Method and system for generating an automatic service request based on metadata

Embodiments for an intelligent log analysis and retention for microservices applications. Such log analysis is helpful in troubleshooting failure conditions that may occur intermittently or repeatedly within a microservices environment. Executed operations by microservices, applications, or components generate logs, and these logs are classified based on certain parameters. A default log retention period defines how long the logs are stored in the system, and a log analytical engine determines and assigns weights constituting additional retention time to keep logs for failed operations. These logs can then be analyzed to determine causes of the failure, and build failure models to predict future failure conditions. Logs for successful operations can be timely deleted to save storage space.

Intelligent log analysis and retention for microservices applications

A method for performing a backup operation includes obtaining, by a backup server, a backup request, wherein the backup request specifies a virtual machine to be backed up, wherein the virtual machine is hosted by a production host, and in response to the backup request: obtaining classification data from the backup agent, initiating a backup classification on an unprocessed backup associated with the virtual machine based on the classification data to obtain a sensitivity tag, and initiating a data processing on the unprocessed backup based on the sensitivity tag.

System and method for a content based classification and adaptive data encryption

In general, in one aspect, the invention relates to a method for enabling enhanced logging. The method includes obtaining a log associated with a job; determining, using the log, that enhanced logging is to be enabled prior to initiating the job; enabling, in response to the determination, enhanced logging on at least one node, and initiating servicing of the job, after the enabling, on the at least one node.

Intelligently determining when to perform enhanced logging

A log generated over a time period of garbage collection cycles of a microservice is reviewed. The log includes garbage collection events and pause times for each event. A determination is made that a threshold number of consecutive garbage collection events has been reached where each consecutive event had a pause time exceeding a threshold pause time. Upon the determination, a change is made to a configuration file associated with the microservice to reduce the pause times for a next time period. Once the microservice enters an idle state, a command is generated to restart the microservice for the change in the configuration file to take effect.

System and method for dynamic selection of a garbage collector for java-based microservices

In general, in one aspect, the invention relates to a method for managing performances of services, the method comprising: generating subsystem groups, wherein each subsystem group of the subsystem groups comprises a plurality of subsystems, wherein each subsystem group is associated with one a plurality of services, wherein the subsystem groups are generated using per-service subsystem requirements; and performing at least one of the plurality of services using a subsystem group of the subsystem groups.

Method and system for performing data protection services using a grouped subsystem level feedback mechanism

A method for managing a data protection module includes: obtaining client metadata of a client environment data protection module (CEDPM); analyzing the client metadata to extract relevant data; inferring at least a period of time a first user of the CEDPM spent to initiate performing a task, a number of steps taken by the first user to initiate performing the task, and a number of attempts made by the first user to initiate performing the task; obtaining at least an ease of use score, an automation efficiency score, and a success score for a product feature; obtaining a maturity rating for the product feature based on the scores; determining that the maturity rating for the product feature is less than a predetermined maturity rating; and sending a recommendation to a second user of a vendor environment (VE) data protection module to manage the maturity rating for the product feature.

Method and system for identifying user behavior based on metadata

A method and system for source versus target metadata-based data integrity checking. Concerning backup operations directed to protecting given data, said given data may be subjected to corruption detection at the source prior to initiating a backup operation, however, said given data may not be checked for data integrity following transfer of said given data to a target storage medium prior to committing the said given data thereto. That is, at least presently, the prospect of data corruption compromising given data during the time window through which the given data journeys, usually via a network, from its source to a target storage medium, is often overlooked. The disclosed method and system, accordingly, propose a scheme directed to detecting corruption amongst data transferred from a source to a target storage medium, and handling said data given the determined integrity of said data.

Source versus target metadata-based data integrity checking

Techniques described herein relate to a method for managing performances of data protection services. The method may include obtaining subsystem statistics from subsystems; in response to obtaining the subsystem statistics, making a determination that the subsystem statistics indicate a concurrency adjustment; and in response to the determination, assigning an adjusted concurrency to the subsystems based on the subsystem statistics and priorities; and initiating performance of data protection services using the adjusted concurrency.

Method and system for performing data protection services using a subsystem level feedback mechanism

One example method includes, within a microservice architecture: (i) obtaining a resource utilization associated with a set of parameters for each microservice within a set of consistency groups, wherein, for each particular consistency group within the set of consistency groups, each microservice within the particular consistency group is associated with a particular distributed operation, and wherein each respective consistency group of the set of consistency groups defines, for each microservice within the respective consistency group, one or more threshold values associated with each parameter of the set of parameters, (ii) for multiple consistency groups of the set of consistency groups, determining whether resource utilization satisfies corresponding thresholds of the one or more threshold values, (iii) determining respective priority levels for each of the multiple consistency groups, and (iv) selectively modifying resource utilization for one or more microservices within the multiple consistency groups in accordance with the respective priority levels.

Systems and methods for priority-driven consistency group based resource allocation

A system for managing data protection of virtual machines (VMs) hosted by hosts of data clusters includes a data protection manager. The data protection manager identifies a data protection event associated with at least one VM, obtains, in response the data protection event, data protection rules and a protection policy associated with the at least one VM, spawn, by a monitoring engine orchestrator, a monitoring engine to the data cluster, initiates performance of the data protection services for the at least one VM using a first storage of storages, obtains, after the spawning, monitoring information from the monitoring engine, makes a determination that a data protection rule event of the data protection rule events occurred using the monitoring information, and in response to the determination, initiates the performance of a corrective action of corrective actions based on the data protection rules using a second storage of the storages.

Method and system for proactive data protection of virtual machines

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Bengaluru, India

Gururaj Reddy Kulkarni