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    Method And System For Real-Time Causality And Root Cause Determination Of Transaction And Infrastructure Related Events Provided By Multiple, Heterogeneous Agents
    2.
    发明申请
    Method And System For Real-Time Causality And Root Cause Determination Of Transaction And Infrastructure Related Events Provided By Multiple, Heterogeneous Agents 审中-公开
    交易和基础设施相关事件由多个异构代理提供的实时因果关系和根本原因确定方法和系统

    公开(公告)号：US20170075749A1

    公开(公告)日：2017-03-16

    申请号：US15264867

    申请日：2016-09-14

    Applicant: Dynatrace LLC

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

    IPC: G06F11/07

    CPC classification number: G06F11/079 ,  G06F11/0709 ,  G06F11/0712 ,  G06F11/0748 ,  G06F11/30 ,  G06F11/3072 ,  G06F11/34 ,  G06F11/3452 ,  G06F11/3476 ,  H04L41/0631 ,  H04L41/12 ,  H04L41/22 ,  H04L41/5009

    Abstract: A method is disclosed that estimates causal relationships between events based on heterogeneous monitoring data. The monitoring data consists in transaction tracing data, describing the execution performance of individual transactions, resource utilization measurements of infrastructure entities like processes or operating systems and network utilization measurement data. A topology model of the monitored environment describing its entities and the communication activities of these entities is incrementally created. The location of occurred events in the topology model is determined. The topology model is used in conjunction with a domain specific causality propagation knowledge base to calculate the possibility of causal relationships between events. Different causality determination mechanisms, based on the type of involved events are used to create graphs of causal related events. A set of root cause events, representing those events with greatest global impact on all other events in an event graph is calculated for each identified event graph.

    Abstract translation: 公开了一种估计基于异构监测数据的事件之间的因果关系的方法。 监控数据包括事务跟踪数据，描述各个事务的执行性能，基础设施实体（如进程或操作系统）以及网络利用率测量数据的资源利用率测量。 描述其实体的监视环境的拓扑模型和这些实体的通信活动是增量创建的。 确定拓扑模型中发生事件的位置。 拓扑模型与域特定因果传播知识库结合使用，以计算事件之间因果关系的可能性。 使用基于相关事件类型的不同因果关系确定机制来创建因果相关事件图。 针对每个识别的事件图计算一组根本原因事件，表示事件图中所有其他事件对全局影响最大的事件。

    Method And System For Real-Time And Scalable Anomaly Detection And Classification Of Multi-Dimensional Multivariate High-Frequency Transaction Data In A Distributed Environment
    3.
    发明申请
    Method And System For Real-Time And Scalable Anomaly Detection And Classification Of Multi-Dimensional Multivariate High-Frequency Transaction Data In A Distributed Environment 有权

    公开(公告)号：US20220334907A1

    公开(公告)日：2022-10-20

    申请号：US17857670

    申请日：2022-07-05

    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.

    Method And System For Real-time Modeling Of Communication, Virtualization And Transaction Execution Related Topological Aspects Of Monitored Software Applications And Hardware Entities
    4.
    发明申请
    Method And System For Real-time Modeling Of Communication, Virtualization And Transaction Execution Related Topological Aspects Of Monitored Software Applications And Hardware Entities 审中-公开
    实时建模通信，虚拟化和事务执行的方法与系统相关的监控软件应用和硬体实体的拓扑方面

    公开(公告)号：US20160105350A1

    公开(公告)日：2016-04-14

    申请号：US14879183

    申请日：2015-10-09

    Applicant: Dynatrace LLC

    Inventor： Bernd Greifeneder ,  Ernst AMBICHL ,  Andreas LEHOFER ,  Gunther SCHWARZBAUER ,  Helmut SPIEGL ,  Rafat Mlotowski

    IPC: H04L12/26 ,  H04L12/751 ,  H04L29/08

    CPC classification number: H04L67/02 ,  H04L41/046 ,  H04L41/12 ,  H04L41/5058 ,  H04L67/1002 ,  H04L67/325

    Abstract: A system and method for real-time discovery and monitoring of multidimensional topology models describing structural aspects of applications and of computing infrastructure used to execute those applications is disclosed. Different types of agents are deployed to the monitored application execution infrastructure dedicated to capture specific topological aspects of the monitored system. Virtualization agents detect and monitor the virtualization structure of virtualized hardware used in the execution infrastructure, operating system agents deployed to individual operating systems monitor resource utilization, performance and communication of processes executed by the operating system and transaction agents deployed to processes participating in the execution of transactions, providing end-to-end transaction trace and monitoring data describing individual transaction executions. The monitoring and tracing data of the deployed agents contains correlation data that allows to create a topology model of the monitored system that integrates transaction execution, process execution and communication and virtualization related aspects.

    Abstract translation: 公开了一种实时发现和监测描述用于执行这些应用的应用和计算基础设施的结构方面的多维拓扑模型的系统和方法。 不同类型的代理被部署到被监视的应用执行基础设施，专用于捕获被监视系统的特定拓扑方面。 虚拟化代理检测和监视执行基础结构中使用的虚拟化硬件的虚拟化结构，部署到单独操作系统的操作系统代理监视由操作系统执行的进程的执行和执行的进程的性能和通信，以及部署到参与执行的进程的进程的事务代理 交易，提供端到端交易追踪和描述各种交易执行的监控数据。 部署代理的监视和跟踪数据包含相关数据，允许创建集成事务执行，进程执行和通信以及虚拟化相关方面的受监控系统的拓扑模型。

    Method And System For Real-Time Correlation Of Disparate Sources Of Topological Information To Create A Unified Topological Model Of A Distributed Information System
    7.
    发明申请
    Method And System For Real-Time Correlation Of Disparate Sources Of Topological Information To Create A Unified Topological Model Of A Distributed Information System 审中-公开

    公开(公告)号：US20190266502A1

    公开(公告)日：2019-08-29

    申请号：US16276710

    申请日：2019-02-15

    Applicant: Dynatrace LLC

    Inventor： Herwig MOSER ,  Michael KOPP ,  Ernst AMBICHL

    IPC: G06N5/04 ,  G06F11/34 ,  G06N5/02 ,  G06F11/30

    Abstract: A system and method is disclosed for the combined analysis of transaction execution monitoring data and a topology model created from infrastructure monitoring data of computing systems involved in the execution of the monitored transactions. Monitored communication activities of transactions are analyzed to identify intermediate processing nodes between sender and receiver side and to enrich transaction monitoring data with data describing those intermediate processing nodes. The topology model may also be improved by the combined analysis, as functionality and services provided by elements of the topology model may be derived by the involvement of those elements in the execution of monitored transactions. The result of the combined analysis is used by an automated anomaly detection and causality estimation system. The combined analysis may also reveal entities of a monitored environment that are used by transaction executions but which are not monitored.

    Method And System For Real-Time, Load-Driven Multidimensional And Hierarchical Classification Of Monitored Transaction Executions For Visualization And Analysis Tasks Like Statistical Anomaly Detection
    8.
    发明申请
    Method And System For Real-Time, Load-Driven Multidimensional And Hierarchical Classification Of Monitored Transaction Executions For Visualization And Analysis Tasks Like Statistical Anomaly Detection 审中-公开
    用于可视化和分析任务的监视事务执行的实时，负载驱动的多维和分层分类的方法和系统像统计异常检测

    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。

    Method And System For Real-Time Correlation Of Disparate Sources Of Topological Information To Create A Unified Topological Model Of A Distributed Information System
    9.
    发明申请
    Method And System For Real-Time Correlation Of Disparate Sources Of Topological Information To Create A Unified Topological Model Of A Distributed Information System 有权

    公开(公告)号：US20230008791A1

    公开(公告)日：2023-01-12

    申请号：US17871282

    申请日：2022-07-22

    Applicant: Dynatrace LLC

    Inventor： Herwig MOSER ,  Michael KOPP ,  Ernst AMBICHL

    IPC: G06F11/34 ,  G06F11/30 ,  G06N5/02 ,  G06N5/04 ,  G06F11/07

    Abstract: A system and method is disclosed for the combined analysis of transaction execution monitoring data and a topology model created from infrastructure monitoring data of computing systems involved in the execution of the monitored transactions. Monitored communication activities of transactions are analyzed to identify intermediate processing nodes between sender and receiver side and to enrich transaction monitoring data with data describing those intermediate processing nodes. The topology model may also be improved by the combined analysis, as functionality and services provided by elements of the topology model may be derived by the involvement of those elements in the execution of monitored transactions. The result of the combined analysis is used by an automated anomaly detection and causality estimation system. The combined analysis may also reveal entities of a monitored environment that are used by transaction executions but which are not monitored.

    Method And System For Real-Time And Scalable Anomaly Detection And Classification Of Multi-Dimensional Multivariate High-Frequency Transaction Data In A Distributed Environment
    10.
    发明申请
    Method And System For Real-Time And Scalable Anomaly Detection And Classification Of Multi-Dimensional Multivariate High-Frequency Transaction Data In A Distributed Environment 有权

    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.

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