Abstract: Described herein are example systems and computer-implemented methods for monitoring changes to an application. For example, information regarding a change made to an aspect of an application may be received by a processor. It may be determined if a similarity of the change to a cluster of changes related to the aspect is within a change threshold. Further, the change may be associated with the cluster of changes when the similarity of the change is within the change threshold. It may be further determined if a metric based on a number of changes associated with the cluster of changes is within a cluster range. When the metric within the cluster range, a prototype change may be extracted from the cluster of changes. The application may be updated based on the prototype change when the metric is within the cluster range.

Abstract: Sending encrypted data to a service provider includes exchanging an encryption key between an entity and a service provider without retaining the encryption key and while hiding an identity of said entity from the service provider and forwarding encrypted data based on the encryption key to the service provider from the entity while hiding the identity of the entity from the service provider.

Abstract: Example embodiments relate to providing exploration maps for visualizing enterprise product knowledge. In example embodiments, a system obtains a software exploration map including feature areas, where each feature area is associated with activities and a grouping of features in a software product. At this stage, the system may detect completion of an activity by a user of the software product. The system may then modify a knowledge level of the user in the feature area based on the completion of the activity.

Abstract: Examples disclosed herein relate to metric correlation instructions to collect a plurality of user action metrics, collect a plurality of business objective metrics, calculate a plurality of correlation values between the user action metrics and the business objective metrics, wherein each calculation comprises a time shift value of the plurality of business objective metrics, and identify a latency period between the user action metrics and the business objective metrics according the calculated plurality of correlation values.

Abstract: Described herein are example systems and computer-implemented methods for monitoring changes to an application. For example, information regarding a change made to an aspect of an application may be received by a processor. It, may be determined if a similarity of the change to a cluster of changes related to the aspect is within a change threshold. Further, the change may be associated with the cluster of changes when the similarity of the change is within the change threshold. It may be further determined if a metric based on a number of changes associated with the cluster of changes is within a cluster range. When the metric within the cluster range, a prototype change may be extracted from the cluster of changes. The application may be updated based on the prototype change when the metric is within the cluster range.

Abstract: A metric data stream from a computing device may be received over a collection period. Based on a first parameter and a second parameter extracted from the metric data stream, a metric descriptor of the metric data over the collection period may be generated. The metric descriptor may be concatenated with other metric descriptors of the metric data stream over other collection periods into a metric fingerprint representing a performance characteristic of the computing device. The metric fingerprint may be compared to at least one other metric fingerprint that represents the performance characteristic of another computing device. Based on the comparison, an anomaly in the performance characteristic of the other computing device may be identified.

Abstract: Querying a data store can include receiving a query defined by a number of phrases. Querying a data store can include identifying within the data store service component metrics, service component logs, and service component events associated with the query. Querying a data store can include displaying the identified service component metrics, service component logs, and service component events.

Abstract: Predicting a data store query can include receiving a portion of a natural language query including a first set of characters. Predicting a data store query can include generating, based at least in part on the first set of characters, a prediction of a phrase matching meta information associated with at least one of a service component metric, log, and event. Predicting a data store query can include proposing the prediction for completion of the query.

Abstract: In some examples, a system determines that plural occurrences of a particular pattern of event types are present in a collection of events, the particular pattern of event types including a first event of a first event type and a second event of a second event type. The system determines that a number of the plural occurrences exceeds a predefined threshold, and in response, creates a correlation rule correlating the first event type and the second event type. The system determines, the correlation rule, a cause of a symptom event in the IT infrastructure.

Abstract: Plural clusters or occurrences of a pattern of event types are identified (304). Based on configuration items relating to events associated with the event types, a correlation rule is created (308) to define a relationship between the event types.

Abstract: Methods, machine-readable media, and systems are provided for self-organization of a satellite grid 102. One method for self-organization of a satellite grid 102 includes receiving, with a first satellite 108-1, a list of a plurality of managed nodes 110-1, 110-2, 110-3, 110-4, 110-5, 110-6, 110-7, 110-8, 110-9, receiving, with the first satellite 108-1, rules, calculating a first claim score for a particular one of the plurality of managed nodes 110-1 and the first satellite 108-1 according to the rules, comparing the first claim score with a second claim score for the particular node 110-1 and a second satellite 108-2 that is managing the particular node 110-1, and claiming management of the particular node 110-1 based on the comparison.

Abstract: Sending encrypted data to a service provider includes exchanging an encryption key between an entity and a service provider without retaining the encryption key and while hiding an identity of said entity from the service provider and forwarding encrypted data based on the encryption key to the service provider from the entity while hiding the identity of the entity from the service provider.

Abstract: Predicting a data store query can include receiving a portion of a natural language query including a first set of characters. Predicting a data store query can include generating, based at least in part on the first set of characters, a prediction of a phrase matching meta information associated with at least one of a service component metric, log, and event. Predicting a data store query can include proposing the prediction for completion of the query.

Abstract: Querying a data store can include receiving a query defined by a number of phrases. Querying a data store can include identifying within the data store service component metrics, service component logs, and service component events associated with the query. Querying a data store can include displaying the identified service component metrics, service component logs, and service component events.

Abstract: A method for balancing management duties in a cloud system can include determining a relationship between a number of configuration items (CI) in a cloud system. The number of CIs are grouped into a number of cluster levels based on the relationship of the number of CIs. To balance management duties in the cloud system, one of the number of cluster levels is assigned to a management cloud server based on a capacity of the management cloud server.

Abstract: Plural clusters or occurrences of a pattern of event types are identified (304). Based on configuration items relating to events associated with the event types, a correlation rule is created (308) to define a relationship between the event types.

Abstract: A method is provided of retrieving a configuration record from a configuration management database pertaining to an IT-infrastructure including host devices, a configuration record having attributes and assigned attribute values, the IT-infrastructure being managed by an operation management system providing messages indicating events in the IT-infrastructure. The method includes providing a message including a set of unidentified attribute values and an identified host value, retrieving from the configuration management database one or more configuration records containing the identified host value, and selecting from the one or more retrieved configuration records a configuration record depending on the number of matches between the unidentified attribute values and the attribute values of the retrieved configuration records.

Abstract: Methods, machine-readable media, and systems are provided for self-organization of a satellite grid 102. One method for self-organization of a satellite grid 102 includes receiving, with a first satellite 108-1, a list of a plurality of managed nodes 110-1, 110-2, 110-3, 110-4, 110-5, 110-6, 110-7, 110-8, 110-9, receiving, with the first satellite 108-1, rules, calculating a first claim score for a particular one of the plurality of managed nodes 110-1 and the first satellite 108-1 according to the rules, comparing the first claim score with a second claim score for the particular node 110-1 and a second satellite 108-2 that is managing the particular node 110-1, and claiming management of the particular node 110-1 based on the comparison.

Abstract: A method for balancing management duties in a cloud system can include determining a relationship between a number of configuration items (CI) in a cloud system. The number of CIs are grouped into a number of cluster levels based on the relationship of the number of CIs. To balance management duties in the cloud system, one of the number of cluster levels is assigned to a management cloud server based on a capacity of the management cloud server.

Abstract: A method is provided of retrieving a configuration record from a configuration management database pertaining to an IT-infrastructure including host devices, a configuration record having attributes and assigned attribute values, the IT-infrastructure being managed by an operation management system providing messages indicating events in the IT-infrastructure. The method includes providing a message including a set of unidentified attribute values and an identified host value, retrieving from the configuration management database one or more configuration records containing the identified host value, and selecting from the one or more retrieved configuration records a configuration record depending on the number of matches between the unidentified attribute values and the attribute values of the retrieved configuration records.