公开(公告)号：US09727666B2

公开(公告)日：2017-08-08

申请号：US14266238

申请日：2014-04-30

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Joern Schimmelpfeng ,  Radi Dimitrov Hadzhiyski

IPC: G06F17/30 ,  G06F11/07

CPC classification number: G06F17/30997 ,  G06F11/0727 ,  G06F11/079 ,  G06F17/30144 ,  G06F17/30401 ,  G06F17/30864

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.

公开(公告)号：US20170185468A1

公开(公告)日：2017-06-29

申请号：US15460608

申请日：2017-03-16

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Joern Schimmelpfeng ,  Frank Vosseler ,  Martin Bosler

IPC: G06F11/07 ,  H04L12/24

CPC classification number: G06F11/0751 ,  G06F11/0709 ,  G06F11/079 ,  G06F2201/86 ,  H04L41/064 ,  H04L41/065

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.

公开(公告)号：US20170317905A1

公开(公告)日：2017-11-02

申请号：US15143357

申请日：2016-04-29

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Joern Schimmelpfeng ,  Michael Tritschler ,  Laura Gonzalez Menendez

IPC: H04L12/26

CPC classification number: H04L43/0823 ,  H04L43/04 ,  H04L43/0817 ,  H04L43/0888

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.

公开(公告)号：US09727663B2

公开(公告)日：2017-08-08

申请号：US14266336

申请日：2014-04-30

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Radi Dimitrov Hadzhiyski ,  Joern Schimmelpfeng

IPC: G06F17/30

CPC classification number: G06F17/30976 ,  G06F17/30144 ,  G06F17/30401 ,  G06F17/3064 ,  G06F17/30864 ,  G06F17/30997

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.