Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program may provide a client device a collection of data objects in a subset of the plurality of collections of data objects. The program may receive a selection of a data object in the collection of data objects. The program may determine a set of policies associated with the data object. The program may apply the set of policies on the data object. Based on the application of the set of policies on the data object, the program may determine whether to process the data object.

Abstract: A method, a system, and a computer program product for executing catalog publishing. A request to publish an online catalog is received. An online catalog includes a plurality of catalog items. A determination of publishing priority of the online catalog is automatically triggered based on at least one first parameter associated with the received request and at least one catalog item in the online catalog. At least one second parameter associated with the received request and at least one catalog item in the one online catalog is detected, and based on the detecting, the determined publishing priority of the online catalog is updated. A queue for publishing at least one online catalog in a plurality of online catalogs is generated using the determined publishing priority of each online catalog in the plurality of online catalogs and the updated determined publishing priority of the online catalog. Publishing of the plurality of online catalogs is executed using the queue.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program may provide a client device a collection of data objects in a subset of the plurality of collections of data objects. The program may receive a selection of a data object in the collection of data objects. The program may determine a set of policies associated with the data object. The program may apply the set of policies on the data object. Based on the application of the set of policies on the data object, the program may determine whether to process the data object.

Abstract: A method, a system, and a computer program product for executing catalog publishing. A request to publish an online catalog is received. An online catalog includes a plurality of catalog items. A determination of publishing priority of the online catalog is automatically triggered based on at least one first parameter associated with the received request and at least one catalog item in the online catalog. At least one second parameter associated with the received request and at least one catalog item in the one online catalog is detected, and based on the detecting, the determined publishing priority of the online catalog is updated. A queue for publishing at least one online catalog in a plurality of online catalogs is generated using the determined publishing priority of each online catalog in the plurality of online catalogs and the updated determined publishing priority of the online catalog. Publishing of the plurality of online catalogs is executed using the queue.

Abstract: Systems and methods are provided for generating a simplified catalog search query from a set of catalog access rules applicable to catalog user groups associated with a catalog user. For example, accessible sources are identified from the access rules. The accessible sources do not include sources that would lead to contradictory and/or useless search query phrases. Based on the accessible sources and the set of catalog access rules, a simplified search query is generated and run against a database of catalog items.

Abstract: Systems and methods are provided for generating a simplified catalog search query from a set of catalog access rules applicable to catalog user groups associated with a catalog user. For example, accessible sources are identified from the access rules. The accessible sources do not include sources that would lead to contradictory and/or useless search query phrases. Based on the accessible sources and the set of catalog access rules, a simplified search query is generated and run against a database of catalog items.

Abstract: A method, a system, and a computer product for connecting computing components are disclosed. One or more data input and output properties of a data processing component in a plurality of data processing components are determined. At least one of the data input properties and data output properties of the data processing component are configured for connection of the data processing component to another data processing component in the plurality of data processing components in the data processing pipeline using a predetermined data pipeline connection topology. Using the predetermined data pipeline connection topology, the data processing component and another data processing component are dynamically connected using the configured properties.

Abstract: In some embodiments, there may be provided a system. The system may be configured to receive web server data indicating a current state of a web server; determine, by a machine learning model and based on the web server data, whether the web server is in a first failure state; generate a first failure state indication for the web server in response to the determination, by the machine learning model, that the web server is in the first failure state; determine, by a forecaster and based on the web server data, whether the web server is in a second failure state; and generate a second failure state indication for the web server in response to the determination, by the forecaster, that the web server is in the second failure state.

Abstract: A method may include segregating an event stream that includes events associated with a cloud-based application hosted on a first remote resource and a second remote resource. The events may include metrics indicative of a state of the first remote resource and/or the second remote resource. The event stream may be segregated into a first child stream including events associated with the first remote resource and a second child stream including events associated with the second remote resource. The first child stream and/or the second child stream may be analyzed to identify a pattern indicative of a fault at the first remote resource and/or the second remote resource. An alert may be sent to in order to notify a client of the fault at the first remote resource and/or the second remote resource. Related systems and articles of manufacture are also provided.

Abstract: In some embodiments, there may be provided a system. The system may be configured to receive web server data indicating a current state of a web server; determine, by a machine learning model and based on the web server data, whether the web server is in a first failure state; generate a first failure state indication for the web server in response to the determination, by the machine learning model, that the web server is in the first failure state; determine, by a forecaster and based on the web server data, whether the web server is in a second failure state; and generate a second failure state indication for the web server in response to the determination, by the forecaster, that the web server is in the second failure state.

Abstract: A method may include segregating an event stream that includes events associated with a cloud-based application hosted on a first remote resource and a second remote resource. The events may include metrics indicative of a state of the first remote resource and/or the second remote resource. The event stream may be segregated into a first child stream including events associated with the first remote resource and a second child stream including events associated with the second remote resource. The first child stream and/or the second child stream may be analyzed to identify a pattern indicative of a fault at the first remote resource and/or the second remote resource. An alert may be sent to in order to notify a client of the fault at the first remote resource and/or the second remote resource. Related systems and articles of manufacture are also provided.

Abstract: A method, a system, and a computer product for connecting computing components are disclosed. One or more data input and output properties of a data processing component in a plurality of data processing components are determined. At least one of the data input properties and data output properties of the data processing component are configured for connection of the data processing component to another data processing component in the plurality of data processing components in the data processing pipeline using a predetermined data pipeline connection topology. Using the predetermined data pipeline connection topology, the data processing component and another data processing component are dynamically connected using the configured properties.

Abstract: A network storage server implements a method to limit simultaneous data transfers and efficient throttle management. The number of processes that can be simultaneously performed in the network storage server is limited. For the processes that do not exceed the limiting number, and are therefore allowed to be simultaneously performed, a throttle control is implemented on each of the processes to limit the amount of system resources that can be allocated to each of the processes. The processes are performed on the network storage server, and a total amount of system resources allocated to these processes does not exceed the available system resources of the network storage server.

Abstract: Example embodiments provide various techniques for collecting data associated with the performance of a storage system. In one method, an attribute associated with the storage system is detected and a data collection policy associated with the attribute is identified. Here, the data collection policy defines a type of data associated with the performance to be collected. With the data collection policy identified, the data are then collected based on the data collection policy.

Abstract: Example embodiments provide various techniques for collecting data associated with the performance of a storage system. In one method, an attribute associated with the storage system is detected and a data collection policy associated with the attribute is identified. Here, the data collection policy defines a type of data associated with the performance to be collected. With the data collection policy identified, the data are then collected based on the data collection policy.

Abstract: Example embodiments provide various techniques for collecting data associated with the performance of a storage system. In one method, an attribute associated with the storage system is detected and a data collection policy associated with the attribute is identified. Here, the data collection policy defines a type of data associated with the performance to be collected. With the data collection policy identified, the data are then collected based on the data collection policy.

Abstract: Example embodiments provide various techniques for collecting data associated with the performance of a storage system. In one method, an attribute associated with the storage system is detected and a data collection policy associated with the attribute is identified. Here, the data collection policy defines a type of data associated with the performance to be collected. With the data collection policy identified, the data are then collected based on the data collection policy.

Abstract: A network storage server implements a method to limit simultaneous data transfers and efficient throttle management. The number of processes that can be simultaneously performed in the network storage server is limited. For the processes that do not exceed the limiting number, and are therefore allowed to be simultaneously performed, a throttle control is implemented on each of the processes to limit the amount of system resources that can be allocated to each of the processes. The processes are performed on the network storage server, and a total amount of system resources allocated to these processes does not exceed the available system resources of the network storage server.