Dell Products Inc.

Emc IP Holding Company LLC

Satish Ranjan Das

Hung The Dinh

Abhijit Mishra

Panguluru Vijaya Sekhar

Krishna Mohan Akkinapalli

Sabu K Syed

Manikandan Pammal Rathinavelu

Bijan Kumar Mohanty

Vinod Kumar

Kannappan Ramu

Reddeppa Kollu

Vinay Sathyanarayana

Nagireddy Bonthu

Tousif Mohammed

Craig J Van Der Bogart

Saravanan Kannan

Sudhir Vijendra

Vijaya Panguluru Sekhar

Sashibhusan Panda

Seshadri Srinivasan

Shishir Kumar Parhi

Shivangi Geetanjali

Antarlina Tripathy

Sambasivarao Gaddam

Baishali Roy

Sweta Kumari

Shivangi Maharana

Harikrishna Reyyi

Sowmya Kumar

John Kenneth Maxi

Gnanesh Gowda

Reshma Nair

Farook Shaik

Nilay Mishra

Vishnu Prabhu Sundarrajan

Vellore Mohammed Imran

Karan Kapoor

Mohammed Imran V

Jonathan Andrew Hernandez

Vijaya Sekhar P

Peter John Sarkis

Gaurav Suwal

Bala Kumar

Narendra Kumar

Shashikiran Rajagopal

SivaMohan Nimmakayala

Puttaraju Bommanna Chikkanna

Sachin Yadav

Vineet Kumar

A method comprises collecting message-oriented-middleware system parameters from a plurality of message-oriented-middleware clusters, analyzing the parameters using one or more machine learning algorithms, and predicting, based at least in part on the analyzing, at least one anomaly in a message-oriented-middleware cluster of the plurality of message-oriented-middleware clusters. In the method, message metadata is collected from the message-oriented-middleware cluster, and at least part of the message metadata is transmitted to one or more remaining ones of the plurality of message-oriented-middleware clusters. At least the part of the message metadata corresponds to messaging operations to be transferred from the message-oriented-middleware cluster to the one or more remaining ones of the plurality of message-oriented-middleware clusters.

Message oriented middleware cluster synchronization

A method comprises collecting data corresponding to a plurality of components in a system, wherein the data comprises information about at least one of respective protocols and respective interfaces associated with respective ones of the plurality of components. The data is analyzed to determine at least one of the respective protocols and the respective interfaces associated with the respective ones of the plurality of components. In the method, operations of one or more components of the plurality of components are tested based at least in part on the determination of the at least one of the respective protocols and the respective interfaces. The method further includes outputting respective statuses of the one or more components, wherein the respective statuses are derived at least in part from the testing.

Testing framework with load forecasting

Methods, apparatus, and processor-readable storage media for implementing extensible upgrade and modification as a service are provided herein. An example computer-implemented method includes processing one or more modifiers, wherein each modifier includes an independent processing unit having a given canonical structure and is configured to execute one or more automated actions related to at least one of application modification and application migration; obtaining data pertaining to multiple applications across multiple computing environments; determining, based at least in part on processing at least a portion of the obtained data, at least one of the one or more modifiers applicable for use in executing at least one of the one or more automated actions in connection with at least a portion of the multiple applications; and executing the at least one of the one or more automated actions using the at least one determined modifier.

Extensible upgrade and modification as a service

A method includes receiving a natural language query requesting data from a message oriented middleware infrastructure comprising a plurality of message oriented middleware providers, and analyzing the natural language query to determine one or more types of the data being requested. In the method, one or more stored queries corresponding to the determined one or more types of the data are identified. The one or more stored queries are in native command formats corresponding to respective ones of the plurality of message oriented middleware providers. The method also includes executing the identified one or more stored queries in the native command formats to retrieve the data from the plurality of message oriented middleware providers, and providing a response to the natural language query based on the retrieved data to a user via a user interface.

Using artificial intelligence and natural language processing for data collection in message oriented middleware frameworks

A method includes receiving a natural language query requesting data from a message oriented middleware infrastructure comprising a plurality of message oriented middleware providers, and analyzing the natural language query to determine one or more types of the data being requested. In the method, one or more queries corresponding to the determined one or more types of the data are dynamically generated. The one or more queries are in native command formats corresponding to respective ones of the plurality of message oriented middleware providers. The method also includes executing the one or more queries in the native command formats to retrieve the data from the plurality of message oriented middleware providers, and providing a response to the natural language query based on the retrieved data to a user via a user interface.

A method includes retrieving vendor specific data from one or more message oriented middleware servers of a message oriented middleware infrastructure, and inputting the vendor specific data from the one or more message oriented middleware servers into a back-end database. The vendor specific data is converted into commonly formatted data, and the commonly formatted data is inputted into a front-end database. The method also includes retrieving the commonly formatted data from the front-end database, and displaying the commonly formatted data on a user interface providing a visualization of a topology of the message oriented middleware infrastructure.

Message oriented middleware topology explorer

A method includes receiving a plurality of performance metrics from a data streaming infrastructure. The data streaming infrastructure comprises one or more message producers, one or more message brokers and one or more message consumers. In the method, the plurality of performance metrics are analyzed in a machine learning model, and one or more performance issues with the data streaming infrastructure are predicted based on the analyzing.

Streaming and event management infrastructure performance prediction

An apparatus in one embodiment comprises at least one processing platform comprising a plurality of processing devices. The at least one processing platform is configured to provide a plurality of applications with centralized access to a plurality of message oriented middleware (MOM) servers via a connectivity layer, to establish a connection between a given one of the plurality of applications and a given one of the plurality of MOM servers via the connectivity layer, and to exchange data between the given one of the plurality of applications and the given one of the plurality of MOM servers via the connectivity layer.

Messaging abstraction layer for integration with message oriented middleware platforms

An apparatus in one embodiment comprises at least one processing platform comprising a plurality of processing devices. The at least one processing platform is configured to establish a connection between a given one of a plurality of Internet of Things (IoT) clients and a given one of a plurality of IoT brokers via a connectivity layer providing the plurality of IoT clients with centralized access to the plurality of IoT brokers, and to exchange data between the given one of the plurality of IoT clients and the given one of the plurality of IoT brokers via the connectivity layer.

Internet of Things connectivity platform

Methods, information handling systems and computer readable media are disclosed for automatically converting from one message queue service to another. In one embodiment, a method includes receiving identification of an application program, a current message queue service employed by the application program, and a target message queue service to be employed by the application program instead of the current message queue service. The method embodiment further includes identifying current message queue object instances for the application program and mapping identifiers of the current message queue object instances to identifiers of target message queue object instances for use with the target message queue service. The embodiment continues with generating instructions for creation of the target message queue object instances by the target message queue service, and, in response to receiving a request for execution of the generated instructions, submitting the generated instructions to a message queue program implementing the target message queue service.

Message queue architectures framework converter

Disclosed herein are methods, systems, and processes to optimize message oriented middleware monitoring in heterogeneous computing environments. A message queue managed by a message queue manager for applications executing on a first computing system that is part of multiple heterogeneous computing systems is accessed. Data associated with message queues managed by the message queue manager for the applications is received from the first computing system. An output file that includes the data is generated.

Optimization of message oriented middleware monitoring in heterogenenous computing environments

A method of providing a message queue service includes a first request being received by a computing device from an application to connect to a messaging queue manager provided by a messaging queue service that manages a messaging queue for at least one application. The application connects to the messaging queue manager by executing a single connect API command that causes the execution of a first plurality of commands in a messaging queue service API that provide for a connection of the application to the messaging queue manager. A second request is received from the application to open a message queue. The message queue managed by the messaging queue manager opens by executing a single open queue API command that causes the execution of a second plurality of commands that provide for the opening of the message queue.

Messaging queue service API optimization system

Growing community of inventors

Round Rock, TX, United States of America

Satish Ranjan Das