Emc Corporation

Emc IP Holding Company LLC

Scott E Joyce

Bruce Rabe

Timothy J Cox

Norman M Miles

Donald Labaj

Munish T Desai

Anirudh Takkallapally

Sreenath Rajagopal

Gregory William Lazar

Peter Cheng Chen

Xiaogang Wang

Vidhi Bhardwaj

Dazhi Dong

Kendra Marchant

Rhon L Porter

Natasha Gaurav

Qi Qu

Yingying Wang Martin

Dan Yuan

Vincent Ma

Himabindu Tummala

Mark A Parenti

Girish Sheelvant

Neil F Schutzman

Christopher S Lacasse

Robert Andrew Ballantyne

Eric Scott Lewine

Hongzhen Zhang

Ralph Johnson Marshall

Binbin Liu Lin

Pauline Chen

Thiago DaSilva

Dennis Thomas Duprey

James Odis Pendergraft

Kevin S Labonte

Binhua Lu

Hui Gao

Greg Lazar

Gev F Daruwalla

Paul D Tynan

Nancy Welch

Natalie Lee Chin Wong

Joseph C Caiani

Thiago Lucas Da Silva

Vijay Balasubramanian Srivatsa

Scott B Kay

Bryant C Martin

Vidhi Bhardwai

Thiago Da Silva

Binbin Liu

Scott R Akerman

Keithley R Sutton

Keith Sutton

Madhu M Ramachandran

Titani P Labaj

Techniques are directed to detecting an abnormal event while data storage equipment is in transit. Such techniques involve receiving a series of sensor signals from a set of sensors affixed to the data storage equipment. The series of sensor signals identifies a series of positional integrity measurements for the data storage equipment while the data storage equipment is in transit. Such techniques further involve performing a series of comparison operations that compares the series of positional integrity measurements to a set of range. Such techniques further involve, based on the series of comparison operations, providing an abnormal event signal in response to a particular positional integrity measurement falling outside a corresponding range of the set of ranges.

Detecting an abnormal event while data storage equipment is in transit

Techniques are provided for enabling cross-process coordination between multiple instances of given microservice in a cloud computing system. A method includes running a plurality of active instances of a given microservice of a computing system comprising a distributed microservices architecture. A first active instance of the plurality of active instances executes a portion of program code of the given microservice to perform a job. The portion of the program code of the given microservice includes an instance synchronization element which is configured to enable cross-process coordination between the plurality of active instances of the given microservice with the support of a collaboration service. The first active instance utilizes the instance synchronization element to communicate with the collaboration service and cause the collaboration service to execute a process associated with the instance synchronization element to thereby implement the cross-process coordination between the plurality of active instances for executing the job.

Collaboration service to support cross-process coordination between active instances of a microservice

Techniques are provided for tracking application programming interface (API) requests in a cloud computing environment. For example, a method for tracking API requests is implemented by an API gateway. The API gateway receives an API request which comprises a given API endpoint to access a target service of a computing system. The API gateway determines if the received API request is valid. In response to determining that the received API request is valid, the API gateway accesses at least one API counter associated with the given API endpoint of the received API request, wherein the at least one API counter is configured to count a number of times that the given API endpoint is accessed. The API gateway increments a count of the at least one API counter by one, and the API gateway routes the API request to the target service for execution.

Tracking application programming interface requests in a cloud computing system

Techniques are provided to implement distributed application programming interface (API) whitelisting for access control of a computing system. For example, an API gateway receives a client API request to access an application comprising a distributed microservices architecture. The API gateway initiates a whitelisting validation operation determine if the client API request is permitted. The whitelisting validation operation includes comparing an API endpoint of the client API request to a whitelist of permitted API endpoints of registered microservices of the application to determine whether the API endpoint of the client API request comprises a permitted API endpoint in the whitelist. The API gateway routes the client API request to a target microservice of the application, in response to the whitelisting validation operation determining that the client API request is permitted.

Distributed application programming interface whitelisting

Techniques are provided to implement application programming interface (API) security validation testing for system integration testing (SIT) in a continuous integration environment. For example, a SIT tool detects a change in master code associated with an application comprising a plurality of microservices and an API gateway to route client API requests to the microservices of the application. The SIT tool obtains a listing of API endpoints exposed by the microservices of the application. The SIT tool performs an automated API security test validation process to determine whether an API security test file has been created for each API endpoint in the listing of API endpoints. The SIT tool fails the API security test validation process in response to determining that an API security test file has not be created for one or more API endpoints in the listing of API endpoints.

Application programming interface security validation for system integration testing

Techniques are provided for automatically testing and verifying the functionality of push notification services of a cloud computing system. For example, a computing system performs an automated push notification test to test a push notification service of the computing system. The computing system sends a test push message over a communications network to a plurality of test devices that are located in different geolocations. The test devices are configured to automatically generate a response message in response to receiving the test push message. The computing system determines if a response message is received from each test device within a predefined response timeout period associated with the test device. The computing system determines that the push notification test fails in response to determining that a response message is not received from at least one test device within the predefined response timeout period associated with the at least one test device.

Automated testing of push notification service in cloud computing system

Techniques are provided to implement intelligent test case management for system integration testing in a continuous development and integration environment. For example, a system integration testing (SIT) tool obtains feature information regarding features within a feature space of a computing system and an operational status of the features. The SIT tool obtains a plurality of test cases associated with a given feature of the computing system, wherein each test case is mapped to a set of one or more features within the feature space, which are utilized by the test case to execute a test procedure to test the given feature. The SIT tool selects each test case among the plurality of test cases, which is mapped to features that have an active operational status. The SIT tool executes the selected test cases to test the given feature.

Intelligent test case management for system integration testing

Described are methods, systems, and apparatus, including computer program product for selectively utilizing demonstration data based on dynamically determining feature availability on computer systems. A first request is received from a client device for computer system feature data related to a computer system feature. A second request is sent to a computer system to invoke by the computer system the computer system feature. Response computer system feature data including feature status information is received. The computer system feature data is formed based on the response computer system feature data, if the feature status information indicates that the computer system feature is available on the computer system. The computer system feature data is formed based on demonstration data, if the feature status information indicates that the computer system feature is not available on the computer system. The computer system feature data is sent to the client device.

Utilizing demonstration data based on dynamically determining feature availability

Techniques for determining a view state for a user interface element are described. A first value for a feature key associated with the user interface element is determined in accordance with feature level criteria and a current context. The first value denotes a first view state for the user interface element. A second value for a second view state for the user interface element is determined in accordance with user interface element level criteria and the current context. A final view state for the user interface element is determined in accordance with the first view state and the second view state. The user interface element is rendered in a user interface in accordance with the final view state.

Simplified feature management

There is disclosed a method and system for use in managing data storage. A plurality of discrete management operations is recorded in connection with a data storage system. A management operation is received in connection with the data storage system. The plurality of discrete management operations is analyzed in connection with the data storage system. Based on the analysis, a sequence of management operations performed on a predetermined number of occasions in connection with the data storage system is identified. The received management operation is one of the management operations in the sequence. A graphical user interface wizard is generated such that a user can be guided through at least a portion of the sequence of discrete management operations in response to identifying the sequence.

Managing data storage

Described are techniques for customizing a help system. A help system may be received providing help for a product. A proficiency level for a user may be determined in accordance with one or more proficiency criteria including one or more previous interactions of the user with any of the help system and performing an operation using a non-help feature of the product. A customized help system for the user may be determined for the user in accordance with the proficiency level for the user, wherein the customized help system is a modified version of the help system.

Adaptive help system

A technique is directed to transporting data storage equipment. The technique involves electronically activating monitoring circuitry which is co-located with the data storage equipment. The technique further involves, after the monitoring circuitry is electronically activated, receiving location data from the monitoring circuitry while the data storage equipment is en route from a first ground location to a second ground location. The technique further involves, based on the location data, performing a set of location evaluation operations to determine whether the data storage equipment is on course along a predefined route between the first ground location and the second ground location.

Electronically monitoring data storage equipment while the data storage equipment is in transit

Described are techniques for use in connection with providing data protection. A storage resource for which data protection is provided by a data protection service may be identified. One or more criteria may be specified denoting one or more trigger conditions for providing data protection by the data protection service, wherein, responsive to an occurrence of any of the one or more trigger conditions, first processing may be performed by the data protection service to protect the storage resource. The one or more criteria may include a first criterion identifying a first amount of data change that has to occur with respect to the storage resource. Notification may be received regarding an occurrence of a first of the one or more trigger conditions. Responsive to receiving the notification, the first processing may be performed by the data protection service.

Data protection based on data changed

Described are techniques for processing a request. Data storage system configuration information is provided which is used by a simulator that simulates a data storage system configuration of a data storage system. A request is received to perform an operation with respect to the data storage system configuration being simulated. The request identifies an object included in the data storage system configuration information used to simulate the data storage system configuration. First processing is performed to simulate servicing the request using the data storage system configuration information and the first processing includes determining, at run time while processing the request, whether the object includes a first object property that is a reference to an embedded object.

Simulation mode modification management of embedded objects

Described are techniques for rendering a user interface display of an application. Inputs are provided to a mapping engine. The inputs may include environmental inputs, profiles (including customized user maps), capabilities, storage management patterns or maps, and historical data. The mapping engine determines, in accordance with the inputs, a set of operations relevant to a user that interacts with a user interface of the application at a current point in time. The set of operations may define a subset of functionality of the application customized for the user. A set of user interface elements may be rendered where the user interface elements rendered correspond to the set of operations relevant to the user.

Techniques for rendering user interface displays

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Foxboro, MA, United States of America

Scott E Joyce