公开(公告)号：US20250123937A1

公开(公告)日：2025-04-17

申请号：US18989312

申请日：2024-12-20

Applicant: Dynatrace LLC

Inventor： Herwig MOSER ,  Martin CARPELLA ,  Otmar ERTL

IPC: G06F11/34 ,  G06F11/30 ,  G06F16/28

Abstract: Technologies are disclosed for the automated, rule-based generation of models from arbitrary, semi-structured observation data. Context data of received observation data, like data describing the location of on which a phenomenon was observed, is used to identify related observations, to generate entities in a model describing the observed data and to assign observations to model data. Mapping rules may be used for the on-demand generation of models, and different sets of mapping rules may be used to generate different models out of the same observation data for different purposes. Further, observation time data may be used to observer the temporal evolution of the generated model. Possible use cases of the so generated models include the interpretation of observation data that describes unexpected operation conditions in view of the generated model, or to determine how a monitored system reacts on changing conditions, like increased load.

公开(公告)号：US20240106903A1

公开(公告)日：2024-03-28

申请号：US18526206

申请日：2023-12-01

Applicant: Dynatrace LLC

Inventor： Bernhard LACKNER ,  Jordi MASRAMON ,  Otmar ERTL ,  Alfonso CORRETTI

IPC: H04L67/146 ,  H04L67/50

CPC classification number: H04L67/146 ,  H04L67/535

Abstract: A technology is disclosed for the browser side capturing of user interaction session data and replay of the session data for a high-fidelity reconstruction of the experience the user perceived. In addition to capturing central structuring and markup documents and browser side updates thereof, additional resource documents that are loaded and used by the browser to render the central documents are captured and added to the session recording data. Identification information is created for resource documents, based on the content of those documents, which allows the capturing system to distinguish different versions of those content documents that share the same name but have different content. The captured session data contains data to identify the correct versions of resource documents during replay. Various measures to reduce the amount of transferred resource content data are applied, that consider already captured resource document versions or the usage frequency of a monitored application.

公开(公告)号：US20240004956A1

公开(公告)日：2024-01-04

申请号：US18215880

申请日：2023-06-29

Applicant: Dynatrace LLC

Inventor： Otmar ERTL

IPC: G06F17/40

CPC classification number: G06F17/40

Abstract: A technology is disclosed for maximizing the creation of transaction trace data by multiple, different monitoring data sources like agents having individual volume constraints for created trace data. Trace context data identifying individual transactions and containing shared randomness data is propagated between agents and used in created trance data to maintain transaction identity in trace data fragments and for consistent sampling decisions. Sampling decisions for individual trace data fragments are based on the shared randomness data and on an agent-autonomously defined sampling probability. Values of randomness data and sampling probability are restricted to a limited number, like the values of a geometric series with a common ratio of ½. Shared randomness data and sampling probability are included in created trace data. Restricting randomness data and sampling probability to values of a geometric series with common ratio ½ leads to additional numeric advantages for the computer implemented calculation of estimation results.

公开(公告)号：US20230205660A1

公开(公告)日：2023-06-29

申请号：US18146529

申请日：2022-12-27

Applicant: Dynatrace LLC

Inventor： Otmar ERTL

IPC: G06F11/34 ,  H04L67/10

CPC classification number: G06F11/3409 ,  H04L67/10

Abstract: A probabilistic set sketching data structure for the estimation of properties of individual sets, like cardinality, as well as joint parameters describing relations between different sets, like similarity scores or intersection cardinalities. The memory size of the proposed sketch is widely independent of the size of the observed sets and may be chosen primarily based on the desired estimation error. A tuning parameter controls the amount of information stored in the sketch regarding the content of the monitored set and may be used to trade joint parameter estimation accuracy for sketch size. Improved estimation algorithms are proposed for both cardinality and joint quantities. Especially the proposed joint quantity estimation has considerable advantages, as it reduces the problem of estimating three dependent parameters, like the cardinalities of intersections and the two complements to the estimation of only one parameter, like the Jaccard coefficient.

公开(公告)号：US20230171321A1

公开(公告)日：2023-06-01

申请号：US17992999

申请日：2022-11-23

Applicant: Dynatrace LLC

Inventor： Bernhard LACKNER ,  Jordi MASRAMON ,  Otmar ERTL ,  Alfonso CORRETTI

IPC: H04L67/146 ,  H04L67/50

CPC classification number: H04L67/146 ,  H04L67/535

Abstract: A technology is disclosed for the browser side capturing of user interaction session data and replay of the session data for a high-fidelity reconstruction of the experience the user perceived. In addition to capturing central structuring and markup documents and browser side updates thereof, additional resource documents that are loaded and used by the browser to render the central documents are captured and added to the session recording data. Identification information is created for resource documents, based on the content of those documents, which allows the capturing system to distinguish different versions of those content documents that share the same name but have different content. The captured session data contains data to identify the correct versions of resource documents during replay. Various measures to reduce the amount of transferred resource content data are applied, that consider already captured resource document versions or the usage frequency of a monitored application.

公开(公告)号：US20210042177A1

公开(公告)日：2021-02-11

申请号：US17078594

申请日：2020-10-23

Applicant: Dynatrace LLC

Inventor： Otmar ERTL ,  Ernst AMBICHL

IPC: G06F11/07 ,  G06F11/34 ,  G06F11/30

Abstract: A system and method for the distributed analysis of high frequency transaction trace data to constantly categorize incoming transaction data, identify relevant transaction categories, create per-category statistical reference and current data and perform statistical tests to identify transaction categories showing overall statistically relevant performance anomalies. The relevant transaction category detection considers both the relative transaction frequency of categories compared to the overall transaction frequency and the temporal stability of a transaction category over an observation duration. The statistical data generated for the anomaly tests contains next to data describing the overall performance of transactions of a category also data describing the transaction execution context, like the number of concurrently executed transactions or transaction load during an observation period. Anomaly tests consider current and reference execution context data in addition to statistic performance data to determine if detected statistical performance anomalies should be reported.

公开(公告)号：US20200042426A1

公开(公告)日：2020-02-06

申请号：US16519428

申请日：2019-07-23

Applicant: Dynatrace LLC

Inventor： Ernst AMBICHL ,  Herwig MOSER ,  Otmar ERTL

IPC: G06F11/34 ,  G06F11/07 ,  G06F16/901

Abstract: A system and method is disclosed for the automated identification of causal relationships between a selected set of trigger events and observed abnormal conditions in a monitored computer system. On the detection of a trigger event, a focused, recursive search for recorded abnormalities in reported measurement data, topological changes or transaction load is started to identify operating conditions that explain the trigger event. The system also receives topology data from deployed agents which is used to create and maintain a topological model of the monitored system. The topological model is used to restrict the search for causal explanations of the trigger event to elements of that have a connection or interact with the element on which the trigger event occurred. This assures that only monitoring data of elements is considered that are potentially involved in the causal chain of events that led to the trigger event.

公开(公告)号：US20190386819A1

公开(公告)日：2019-12-19

申请号：US16440439

申请日：2019-06-13

Applicant: Dynatrace LLC

Inventor： Otmar ERTL ,  Edyta KALKA

IPC: H04L9/06 ,  G06F7/58 ,  H04L9/32 ,  H04L9/08

Abstract: A system and method for the analysis of log data is presented. The system uses SuperMinHash based locality sensitive hash signatures to describe the similarity between log lines. Signatures are created for incoming log lines and stored in signature indexes. Later similarity queries use those indexes to improve the query performance. The SuperMinHash algorithm uses a two staged approach to determine signature values, one stage uses a first random number to calculate the index of the signature value that is to update. The two staged approach improves the accuracy of the produced similarity estimation data for small sized signatures. The two staged approach may further be used to produce random numbers that are related, e.g. each created random number may be larger than its predecessors. This relation is used to optimize the algorithm by determining and terminating when further created random numbers have no influence on the created signature.