Abstract: A method, a computer system, and a computer program product for clustering operational parameter values in a micro-service architecture used in a computing infrastructure. The computer system measures a plurality of operational parameter values of elements of the computing infrastructure and logs identifiers for elements having caused a problem situation and related problem resolution times. The computer system clusters the operational parameter values of the elements having caused the problem situation, according to a correlation function. The computer system orders the operational parameter values within a cluster and the elements having caused the problem situation. The computer system periodically performs the clustering and the ordering such that a sequence of the operational parameter values and the elements having caused the problem situation is indicative of a resolution time required for a new problem situation.

Abstract: A method for connecting graph processing cut endpoints is disclosed. The method comprises determining a first capability matrix comprising capability values, applying weights to the capability values of the first capability matrix resulting in a first weighted capability matrix, and determining a second capability matrix comprising, for each pairing of another side of the cut endpoint, capability values. For both, the first capability matrix and second capability matrix, the capability values relate at least to a platform, a runtime framework, a connection technology, a protocol for a connection of a node of the stream processing system. The method comprises further determining a joint weighted capability matrix for two corresponding cut endpoints of a cut by multiplying corresponding capability matrix values of the first weighted capability matrix and the second capability matrix, and selecting a preferred connection for the cut endpoints.

Abstract: A processor may identify, using historical data, an amount of computing resources consumed to remedy the failure with an automatic remedy step. The processor may determine that the amount of consumed computing resources to remedy the failure is less than an amount of computing resources consumed by restarting the process. The processor may perform the automatic remedy step. The processor may identify that the automatic remedy step has failed. The processor may determine a waiting period based on an estimated time to receive a user response to the failure and an estimated load on the computing cluster. The processor may display a generated alert to a user during the waiting period. The processor may identify that no user input has been received during the waiting period. The processor may release computing resources corresponding to the process.

Abstract: A processor may identify, using historical data, an amount of computing resources consumed to remedy the failure with an automatic remedy step. The processor may determine that the amount of consumed computing resources to remedy the failure is less than an amount of computing resources consumed by restarting the process. The processor may perform the automatic remedy step. The processor may identify that the automatic remedy step has failed. The processor may determine a waiting period based on an estimated time to receive a user response to the failure and an estimated load on the computing cluster. The processor may display a generated alert to a user during the waiting period. The processor may identify that no user input has been received during the waiting period. The processor may release computing resources corresponding to the process.

Abstract: A method for connecting graph processing cut endpoints is disclosed. The method comprises determining a first capability matrix comprising capability values, applying weights to the capability values of the first capability matrix resulting in a first weighted capability matrix, and determining a second capability matrix comprising, for each pairing of another side of the cut endpoint, capability values. For both, the first capability matrix and second capability matrix, the capability values relate at least to a platform, a runtime framework, a connection technology, a protocol for a connection of a node of the stream processing system. The method comprises further determining a joint weighted capability matrix for two corresponding cut endpoints of a cut by multiplying corresponding capability matrix values of the first weighted capability matrix and the second capability matrix, and selecting a preferred connection for the cut endpoints.

Abstract: A processor may identify, using historical data, an amount of computing resources consumed to remedy the failure with an automatic remedy step. The processor may determine that the amount of consumed computing resources to remedy the failure is less than an amount of computing resources consumed by restarting the process. The processor may perform the automatic remedy step. The processor may identify that the automatic remedy step has failed. The processor may determine a waiting period based on an estimated time to receive a user response to the failure and an estimated load on the computing cluster. The processor may display a generated alert to a user during the waiting period. The processor may identify that no user input has been received during the waiting period. The processor may release computing resources corresponding to the process.

Abstract: A method, a computer system, and a computer program product for clustering operational parameter values in a micro-service architecture used in a computing infrastructure. The computer system measures a plurality of operational parameter values of elements of the computing infrastructure and logs identifiers for elements having caused a problem situation and related problem resolution times. The computer system clusters the operational parameter values of the elements having caused the problem situation, according to a correlation function. The computer system orders the operational parameter values within a cluster and the elements having caused the problem situation. The computer system periodically performs the clustering and the ordering such that a sequence of the operational parameter values and the elements having caused the problem situation is indicative of a resolution time required for a new problem situation.

Abstract: A processor may identify, using historical data, an amount of computing resources consumed to remedy the failure with an automatic remedy step. The processor may determine that the amount of consumed computing resources to remedy the failure is less than an amount of computing resources consumed by restarting the process. The processor may perform the automatic remedy step. The processor may identify that the automatic remedy step has failed. The processor may determine a waiting period based on an estimated time to receive a user response to the failure and an estimated load on the computing cluster. The processor may display a generated alert to a user during the waiting period. The processor may identify that no user input has been received during the waiting period. The processor may release computing resources corresponding to the process.

Abstract: A method for connecting graph processing cut endpoints is disclosed. The method comprises determining a first capability matrix comprising capability values, applying weights to the capability values of the first capability matrix resulting in a first weighted capability matrix, and determining a second capability matrix comprising, for each pairing of another side of the cut endpoint, capability values. For both, the first capability matrix and second capability matrix, the capability values relate at least to a platform, a runtime framework, a connection technology, a protocol for a connection of a node of the stream processing system. The method comprises further determining a joint weighted capability matrix for two corresponding cut endpoints of a cut by multiplying corresponding capability matrix values of the first weighted capability matrix and the second capability matrix, and selecting a preferred connection for the cut endpoints.

Abstract: A method, a computer system, and a computer program product for clustering operational parameter values in a micro-service architecture used in a computing infrastructure. The computer system measures a plurality of operational parameter values of elements of the computing infrastructure and logs identifiers for elements having caused a problem situation and related problem resolution times. The computer system clusters the operational parameter values of the elements having caused the problem situation, according to a correlation function. The computer system orders the operational parameter values within a cluster and the elements having caused the problem situation. The computer system periodically performs the clustering and the ordering such that a sequence of the operational parameter values and the elements having caused the problem situation is indicative of a resolution time required for a new problem situation.

Abstract: A method for connecting graph processing cut endpoints is disclosed. The method comprises determining a first capability matrix comprising capability values, applying weights to the capability values of the first capability matrix resulting in a first weighted capability matrix, and determining a second capability matrix comprising, for each pairing of another side of the cut endpoint, capability values. For both, the first capability matrix and second capability matrix, the capability values relate at least to a platform, a runtime framework, a connection technology, a protocol for a connection of a node of the stream processing system. The method comprises further determining a joint weighted capability matrix for two corresponding cut endpoints of a cut by multiplying corresponding capability matrix values of the first weighted capability matrix and the second capability matrix, and selecting a preferred connection for the cut endpoints.

Abstract: A method, a computer system, and a computer program product for clustering operational parameter values in a micro-service architecture used in a computing infrastructure. The computer system measures a plurality of operational parameter values of elements of the computing infrastructure and logs identifiers for elements having caused a problem situation and related problem resolution times. The computer system clusters the operational parameter values of the elements having caused the problem situation, according to a correlation function. The computer system orders the operational parameter values within a cluster and the elements having caused the problem situation. The computer system periodically performs the clustering and the ordering such that a sequence of the operational parameter values and the elements having caused the problem situation is indicative of a resolution time required for a new problem situation.