Entit Software LLC

Hewlett Packard Enterprise Development LP

Micro Focus Lcc

Joern Schimmelpfeng

Radi Dimitrov Hadzhiyski

Michael Bernd Beiter

Frank Vosseler

Stefan Bergstein

Martin Bosler

Timo Schneller

Carsten Schlipf

Artiona Bogo

Harald Pfaender

Carsten Laengerer

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.

Application updates

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.

Sending encrypted data to a service provider

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.

Data store query

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.

Data store query prediction

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

Creating a correlation rule defining a relationship between event types

Methods, machine-readable media, and systems are provided for self-organization of a satellite grid. One method for self-organization of a satellite gridincludes receiving, with a first satellite-, a list of a plurality of managed nodes---------, receiving, with the first satellite-, rules, calculating a first claim score for a particular one of the plurality of managed nodes-and the first satellite-according to the rules, comparing the first claim score with a second claim score for the particular node-and a second satellite-that is managing the particular node-, and claiming management of the particular node-based on the comparison.

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Herrenberg, Germany

Joern Schimmelpfeng