公开(公告)号：US20250112976A1

公开(公告)日：2025-04-03

申请号：US18978413

申请日：2024-12-12

Applicant: Dynatrace LLC

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

IPC: H04L67/146 ,  H04L67/50

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：US20240281748A1

公开(公告)日：2024-08-22

申请号：US18646865

申请日：2024-04-26

Applicant: Dynatrace LLC

Inventor： Otmar ERTL

IPC: G06Q10/0639 ,  G06F11/30 ,  G06Q10/0633 ,  H04L67/1042

CPC classification number: G06Q10/06393 ,  G06F11/301 ,  G06Q10/0633 ,  H04L67/1042

Abstract: A system and method is proposed for estimating the contribution of components of a distributed computing environment to the generation of economically relevant values, like e.g., revenue numbers. Agents are deployed to the computing environment that trace executed transactions and that monitor components used to execute those transactions. The transaction trace data also contains data about the origin/user of transactions, which may be used to group transactions corresponding to particular interactions of individual users with the monitored application into visit data. Data describing economically relevant activities of transactions, like the purchase of goods, are also observed by agents and reported in trace data. Functional dependencies described in transaction trace data and resource related dependencies derived from component monitoring data are used to identify functionality and components that contributed to the generation of business value. The generated business value is assigned to contributing components to incrementally create data describing the economic value of those components. The so generated data can be used for various business-related analyses.

公开(公告)号：US20230169136A1

公开(公告)日：2023-06-01

申请号：US17993015

申请日：2022-11-23

Applicant: Dynatrace LLC

Inventor： Bernhard LACKNER ,  Jordi MASRAMON ,  Otmar ERTL

IPC: G06F16/957 ,  G06F16/958 ,  G06F16/9535

CPC classification number: G06F16/9577 ,  G06F16/958 ,  G06F16/9535

Abstract: A technology for the optimized capturing of resource file content for resources referred in recorded user interaction sequences is disclosed. Individual resource files are typically referred in multiple recorded resources, therefore it is desired to capture those resources only once and reuse them for all recorded session capturing them. As user interaction sequences are executed and captured in independently operating web-browsers, a direct coordination between recording web-browsers to avoid multiple captures of the same resource is not possible. Data about the global resource capturing and demand situation is generated on a monitoring server that receives all session recording data and transferred to session recording browsers in form of lists identifying resources that are referred in sessions but are still unresolved and should therefore be captured, and for resources that should not captured, because they are already available and capturing them again should be avoided.

公开(公告)号：US20210319006A1

公开(公告)日：2021-10-14

申请号：US17358170

申请日：2021-06-25

Applicant: Dynatrace LLC

Inventor： Otmar ERTL

IPC: G06F16/22 ,  G06N7/00 ,  G06F16/23 ,  G06F17/18

Abstract: A system and method for the estimation of the cardinality of large sets of transaction trace data is disclosed. The estimation is based on HyperLogLog data sketches that are capable to store cardinality relevant data of large sets with low and fixed memory requirements. The disclosure contains improvements to the known analysis methods for HyperLogLog data sketches that provide improved relative error behavior by eliminating a cardinality range dependent bias of the relative error. A new analysis method for HyperLogLog data structures is shown that uses maximum likelihood analysis methods on a Poisson based approximated probability model. In addition, a variant of the new analysis model is disclosed that uses multiple HyperLogLog data structured to directly provide estimation results for set operations like intersections or relative complement directly from the HyperLogLog input data.

公开(公告)号：US20240119103A1

公开(公告)日：2024-04-11

申请号：US18381213

申请日：2023-10-18

Applicant: Dynatrace LLC

Inventor： Bernhard LACKNER ,  Jordi MASRAMON ,  Otmar ERTL

IPC: G06F16/957 ,  G06F16/9535 ,  G06F16/958

CPC classification number: G06F16/9577 ,  G06F16/9535 ,  G06F16/958 ,  G06F16/972

Abstract: A technology for the optimized capturing of resource file content for resources referred in recorded user interaction sequences is disclosed. Individual resource files are typically referred in multiple recorded resources, therefore it is desired to capture those resources only once and reuse them for all recorded session capturing them. As user interaction sequences are executed and captured in independently operating web-browsers, a direct coordination between recording web-browsers to avoid multiple captures of the same resource is not possible. Data about the global resource capturing and demand situation is generated on a monitoring server that receives all session recording data and transferred to session recording browsers in form of lists identifying resources that are referred in sessions but are still unresolved and should therefore be captured, and for resources that should not captured, because they are already available and capturing them again should be avoided.

公开(公告)号：US20240039699A1

公开(公告)日：2024-02-01

申请号：US18376882

申请日：2023-10-05

Applicant: Dynatrace LLC

Inventor： Otmar ERTL ,  Edyta KALKA

IPC: H04L9/06 ,  G06F7/58 ,  H04L9/08 ,  H04L9/32 ,  G06F11/30

CPC classification number: H04L9/0643 ,  G06F7/582 ,  G06F7/588 ,  H04L9/0869 ,  H04L9/3247 ,  G06F11/3068 ,  G06F11/3082

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.

公开(公告)号：US20210200660A1

公开(公告)日：2021-07-01

申请号：US17198369

申请日：2021-03-11

Applicant: Dynatrace LLC

Inventor： Ernst AMBICHL ,  Herwig MOSER ,  Otmar ERTL

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

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：US20170039554A1

公开(公告)日：2017-02-09

申请号：US15227029

申请日：2016-08-03

Applicant: Dynatrace LLC

Inventor： Bernd GREIFENEDER ,  Otmar ERTL ,  Herwig MOSER ,  Ernst AMBICHL ,  Helmut SPIEGL

IPC: G06Q20/38 ,  G06Q20/10

CPC classification number: G06Q20/389 ,  G06Q20/102 ,  G06Q20/40

Abstract: A system and method is disclosed that analyzes a set of historic transaction traces to identify an optimized set of transaction clusters with the highest transaction frequency. The transaction clusters are defined according to multiple parameters describing the execution context of the analyzed transactions. The transaction clusters are described by coordinates in a multidimensional, hierarchical classification space. Descriptive statistical data is extracted from historic transactions corresponding to previously identified transaction clusters and stored as reference data. Transaction trace data from currently executed transactions is analyzed to find a best matching historic transaction cluster. The current transaction traces are grouped according to their corresponding historic transaction cluster. Statistical data is extracted from those groups of current transaction trace and statistical test are performed that compare current and historic data on a per historic transaction cluster basis to identify deviations in performance and functional behavior of current and historic transactions.

Abstract translation: 公开了一种系统和方法，其分析一组历史事务跟踪以识别具有最高事务频率的优化的事务集群。 根据描述分析的事务的执行上下文的多个参数来定义事务集群。 事务簇由多维分层分类空间中的坐标描述。 描述性统计数据是从与先前识别的事务簇对应的历史事务中提取出来的，并作为参考数据存储。 分析来自当前执行的事务的事务跟踪数据，以找到最佳匹配的历史事务集群。 当前事务跟踪根据其对应的历史事务集群进行分组。 从当前事务跟踪的那些组提取统计数据，并且进行统计测试，以比较每个历史事务簇的当前和历史数据，以识别当前和历史事务的性能和功能行为的偏差。

公开(公告)号：US20250148077A1

公开(公告)日：2025-05-08

申请号：US18929739

申请日：2024-10-29

Applicant: Dynatrace LLC

Inventor： Otmar ERTL ,  Thomas Natschlaeger ,  Guilherme Thompson

IPC: G06F21/55

Abstract: The disclosure concerns a computer-implemented method for semantically analyzing session data, a computer-implemented method for identifying fraudulent session data captured in a distributed computing system, and a computer-implemented method for synthetically testing a website. The objective of the disclosure is to propose a similarity measure for session data in order to compare different sessions, such as user sessions or business process journeys, to each other. Another objective of the disclosure is to semantically analyze session data by similarity and to store the analysis result in a database. The objective is solved by receiving session data from a session occurring in the distributed computing system; generating a textual description for the session data; generating a vector embedding from the textual description, where the vector embedding represents the session data; and storing the vector embedding, along with a reference to the session data, in a database.

公开(公告)号：US20250077521A1

公开(公告)日：2025-03-06

申请号：US18814009

申请日：2024-08-23

Applicant: Dynatrace LLC

Inventor： Otmar ERTL

IPC: G06F16/2453 ,  G06F16/2455

Abstract: Methods and technologies are disclosed for the sketch efficient estimation of large-scale multi-sets in distributed, stream-oriented environments. Sketch updates are idempotent and commutative, to support duplicate set elements and varying element sequences. They are also mergeable to support distributed sketch recording. The recording process uses stepwise approximated geometric distributions, efficiently generated from NLZ values of received sketch updates, by using only multiplications with powers of two and integer additions. Sketch registers are subdivided into a portion storing an observed max update value for the register, and a portion storing set of flag bits indicating observed next smaller update values for the register. A Max Likelihood base sketch data evaluation, based on the assumption of statistically independent sketch registers is proposed. The limited number of different probabilities created by the stepwise approximated geometric distributions leads to a Max Likelihood function with coefficients that can be calculated solely with integer arithmetic.