Dell Products Inc.

Krishna Mohan Akkinapalli

Hung The Dinh

Satish Ranjan Das

Abhijit Mishra

Bijan Kumar Mohanty

Craig J Van Der Bogart

Vinod Kumar

Sabu K Syed

Panguluru Vijaya Sekhar

Manikandan Pammal Rathinavelu

Reddeppa Kollu

Tousif Mohammed

Nagireddy Bonthu

Saravanan Kannan

Kannappan Ramu

Vijaya Panguluru Sekhar

Shishir Kumar Parhi

Seshadri Srinivasan

Sashibhusan Panda

Antarlina Tripathy

Shivangi Geetanjali

Vinay Sathyanarayana

Baishali Roy

Sambasivarao Gaddam

Sweta Kumari

John Kenneth Maxi

Shivangi Maharana

Harikrishna Reyyi

Sowmya Kumar

Nilay Mishra

Gnanesh Gowda

Vishnu Prabhu Sundarrajan

Vellore Mohammed Imran

Karan Kapoor

Sijoy Thomas

Reshma Nair

Farook Shaik

Jonathan Andrew Hernandez

Peter John Sarkis

Gaurav Suwal

Bala Kumar

Narendra Kumar

Shashikiran Rajagopal

SivaMohan Nimmakayala

Puttaraju Bommanna Chikkanna

Roy Niswanger

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 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

In one embodiment, a method is performed by a computer system. The method includes determining base values of multilayer configuration settings of a message queue environment, where the multilayer configuration settings are distributed across a plurality of layers of the message queue environment. The method also includes executing a stress test on the message queue environment using the determined base values of the multilayer configuration settings. The method also includes systematically adjusting the multilayer configuration settings and repeating the stress test at least until the message queue environment satisfies a performance requirement. The method also includes storing a set of values of the multilayer configuration settings for which the message queue environment has satisfied the performance requirement. The method also includes using the stored set of values for a subsequent execution of the message queue environment.

Systems and methods of tuning a message queue environment

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Austin, TX, United States of America

Krishna Mohan Akkinapalli