Abstract: A technique manages objects in a software development project. In particular, in response to receiving a commit request for committing a group of objects, a group of historical commit requests associated with the group of objects are acquired based on a commit history, wherein historical commit requests in the group of historical commit requests involve the group of objects. A candidate object is selected from at least one object involved in the historical commit requests that is different from the group of objects. An association relationship between the candidate object and the group of objects is determined. The candidate object is identified as a missing object in response to determining that the association relationship satisfies a predetermined condition, the missing object indicating an object associated with the commit request but not included in the commit request. Accordingly, objects that are missing in a commit request can be automatically checked.

Abstract: A technique manages objects in a software development project. In particular, in response to receiving a commit request for committing a group of objects, a group of historical commit requests associated with the group of objects are acquired based on a commit history, wherein historical commit requests in the group of historical commit requests involve the group of objects. A candidate object is selected from at least one object involved in the historical commit requests that is different from the group of objects. An association relationship between the candidate object and the group of objects is determined. The candidate object is identified as a missing object in response to determining that the association relationship satisfies a predetermined condition, the missing object indicating an object associated with the commit request but not included in the commit request. Accordingly, objects that are missing in a commit request can be automatically checked.

Abstract: Techniques perform storage management. In accordance with such techniques, in response to determining that there is an abnormal process in a process group of an application, and a first size of storage space occupied by the abnormal process exceeds a first threshold, an abnormal process is terminated. A second size of storage space occupied by other processes than the abnormal process in the process group after the abnormal process is terminated is determined. In response to the second size exceeding a second threshold, at least one process in the process group to reduce the second size is terminated, where the at least one process is different from the abnormal process.

Abstract: Techniques perform storage management. In accordance with such techniques, in response to determining that there is an abnormal process in a process group of an application, and a first size of storage space occupied by the abnormal process exceeds a first threshold, an abnormal process is terminated. A second size of storage space occupied by other processes than the abnormal process in the process group after the abnormal process is terminated is determined. In response to the second size exceeding a second threshold, at least one process in the process group to reduce the second size is terminated, where the at least one process is different from the abnormal process.

Abstract: A command request may be made to create a new entity in a data storage system. The new entity may be depend upon one or more base objects required to exist prior to creating the new entity. The command request may be processed in accordance with a selected policy affecting the required base objects. The selected policy may be one of a defined set of policies affecting actions taken with respect to the required base objects and new entity. For example, the policies may provide for automatically creating the required base objects and new entity; automatically selecting existing base objects used to create the new entity; generating a command list of recommend commands for creating the required base objects and the new entity; and generating a recommend list of existing base objects and a command for creating the new entity using at least one of the existing base objects.

Abstract: A data storage system executes a system management component initiating and monitoring a multi-task job affecting a storage resource such as a storage device. Execution includes maintaining a job data object and a set of task data objects for the multi-task job. A task operates upon the storage resource has a respective task data object containing an identifier of the storage resource as a task-affected storage resource. The job data object is used by a job-level function (e.g., job level of a management GUI) and initially lacks the identifier of the storage resource. During execution, the identifier of the storage resource is copied from the task data object to the job data object as an identifier of a job-affected storage resource, which is then used in subsequent performance of the job-level function (e.g., displaying a hyperlink for the storage resource in a job-level screen of the management GUI).

Abstract: Described are techniques for performing system management. A first policy definition of a first policy is received. The first policy definition includes information identifying a first criterion, a first resource of the system, and a first action to be taken. It is determined whether a condition of the first policy is met. The condition includes the first criterion. Responsive to determining that the condition is met, first processing is performed that includes performing the first action.

Abstract: An improved method of analyzing software issues may include retrieving and storing selected data elements from the operating system kernel data prior to performing a memory dump. The method of retrieving the selected kernel data may include creating a thread dedicated to collecting the data and storing it in a memory location for analysis after the memory dump. The operating system kernel data may be analyzed in conjunction with the prior art dump data to identify a root cause of the software issue.

Abstract: A data storage system includes storage processors that execute respective datapath components and management components. The datapath components maintain logical storage objects being the target of the storage I/O commands and for which underlying data is stored on an array of storage devices. The management components operate in an active-standby fashion in which (1) the management components maintain respective separate copies of a management database storing information about the logical storage objects, (2) an active management component serves external requests from a storage administrator by accessing its copy of the management database, and (3) a standby management component responds to non-availability of the first management component by becoming the active management component and serving subsequent external requests from the storage administrator by accessing its copy of the management database.

Abstract: Techniques are described for utilizing proxy data storage system monitoring aggregators, which are able to keep in synchronization with a central data storage system monitoring aggregator to provide distributed access to the aggregated state and performance monitoring data of all of the data storage arrays.

Abstract: An automatic technique for a timely diagnostic uses a cloud service and includes (1) after a memory dump file is generated, uploading the dump file and system configurations to an analysis server, (2) extracting key call stacks from the dump file in the server, (3) searching a cloud-based knowledge base for entries corresponding to contents of the call stack and the system configurations (like model, SW version, etc.), these entries representing known issues having similar call stack contents and/or system configurations. If relevant knowledge base entries are found, then they are used to identify a root cause and suggest solutions. If no relevant knowledge base entries are found, this result is reported along with any other potentially useful data from the dump file analysis, such as an identification of a product area for a program identified by the dump file name.

Abstract: Described is a method and system for use in evaluating management operations. A current storage configuration in connection with a data storage system is captured. A management operation event relating to the data storage system is simulated without affecting the data storage system. The management operation event is simulated using the current storage configuration in connection with the data storage system. A management operation event output is provided for enabling evaluation of the potential affect of the management operation event in the data storage system in response to simulating the management operation.

Abstract: A method of verifying that a storage system is complying with best practices guide includes a software program running in host servers for determining the host server configuration parameters, and comparing the host server configuration to the storage system configuration. If a newly added best practices rule is found to be different than either the current configuration of the storage system or the host server configuration, then an alert may be generated, and sent to a storage system user or manager. In addition, a suggested change notice may be generated and transmitted to the storage system user or manager. There may also be a suggested change notice sent to the host server. Best practices rules may be stored in a data base and updated frequently.

Abstract: There is disclosed a method and system for use in evaluating a system event. A current storage configuration is captured in connection with a data storage system. A system failure event relating to the data storage system is simulated without impacting the data storage system. The system failure event is simulated using the current storage configuration in connection with the data storage system. A system failure event output is provided for enabling evaluation of the potential impact of the system failure event in the data storage system in response to simulating the system failure event.

Abstract: An improved method of analyzing software issues may include retrieving and storing selected data elements from the operating system kernel data prior to performing a memory dump. The method of retrieving the selected kernel data may include creating a thread dedicated to collecting the data and storing it in a memory location for analysis after the memory dump. The operating system kernel data may be analyzed in conjunction with the prior art dump data to identify a root cause of the software issue.

Abstract: Described are techniques for searching. Search criteria including parameters is received. It is determined whether to perform searching based on storage provisioned for one or more selected applications identified in the search criteria. If it is determined to perform searching based on storage provisioned for one or more selected applications, first processing is performed in accordance with the search criteria, and otherwise second processing is performed in accordance with the search criteria. Search results produced as a result of one of the first processing and the second processing are received.