59 results about "Application performance management" patented technology

An improved method and system for complex and integrated application performance management which tracks end-to-end computer resource consumption of a first business application workflow in an enterprise system. The first business application workflow may include a plurality of components. The plurality of components may further include one or more component types. A second or subsequent business application workflow may be embedded or linked as a component of the first business application workflow. Resource usage information of the plurality of components (including resource usage information of underlying units of work of the plurality of components) may be correlated to determine cumulative resource usage information for the first business application workflow. The resource usage information may be displayed in a graphical user interface. User input may be received indicating one or more of the following for the first business application workflow: an application name, a natural business unit, and a mission-critical ranking.

The invention provides, in some aspects, systems for proactive management of development and performance of a software application based on monitoring it (and / or one or more of its components) during the course of development or execution. Those systems signal alerts upon determining that actual or expected usage of the application (or its components) by users of like classes (or roles) is anticipated to, or does, exceed quotas, when the application is placed in production mode.

Programmatic root cause analysis of application performance problems is provided in accordance with various embodiments. Transactions having multiple components can be monitored to determine if they are exceeding a threshold for their execution time. Monitoring the transactions can include instrumenting one or more applications to gather component level information. For transactions exceeding a threshold, the data collected for the individual components can be analyzed to automatically diagnose the potential cause of the performance problem. Time-series analytical techniques are employed to determine normal values for transaction and component execution times. The values can be dynamic or static. Deviations from these normal values can be detected and reported as a possible cause. Other filters in addition to or in place of execution times for transactions and components can also be used.

An application performance management system is provided, which is adapted to analyze the performance of one or more applications running on information technology (IT) infrastructure. The application performance management system includes a data collector, an anomaly detector, an anomaly correlator, an anomaly ranking unit, and a source problem detector. The data collector collects performance metrics for one or more applications running on the IT infrastructure. The anomaly detector analyzes the performance metrics and detects anomalies, which may include performance metrics whose values deviate from historic values with a deviation that exceeds a predefined threshold. The anomaly correlator detects dependencies between plural anomalies and generates anomaly clusters. Each anomaly cluster includes anomalies that are correlated through one or more of the dependencies. The anomaly ranking unit ranks anomalies within an anomaly cluster. The source problem detector pinpoints a problem source from the lowest ranked anomaly in an anomaly cluster.

Apparatus, systems and methods for service and / or business for coordinating tasks of performance management and application placement management in a dynamic fashion. An example process is dynamic in the face of fluctuations in the request load to the distributed computer system and the periodic adjustments to the placement of applications onto servers in said distributed computer system. There are two opposite functional flows in said process: a demand estimation function and a capacity adjustment function. The coordination system involves two subsystems: a demand estimator and a capacity adjuster, along with appropriate interfaces to of the performance manager and the application placement manager. This results in application placement process reacting quicker to demand fluctuations, performance guarantees are better met by rearranging the resources to be allocated to the various classes of service, and the management system works in an unsupervised mode, thus reducing manual administration costs and human errors.

Application performance data and machine health are collected by a system. The system correlates the two data types to provide context as to how machine health affects the performance of an application. Performance data for an application, for example an application executing as part of a distributed business transaction, and health data for a machine which hosts the application are collected. The performance data and machine health data may be correlated for a particular period of time. The correlation may then be reported to a user. By viewing the correlation, a user may see when machine health was good and bad, and may identify the effects of the machine health on the performance of an application.

Some embodiments provide application performance management tools with a service monitor that operates on a number of different mobile devices to track and monitor services that an application is using. In some embodiments, the service monitor stores a log relating to the use of the service each time the application uses the service. The application performance tool also includes an error monitor to detect an application error and report the application error to a performance monitoring server along with one or more logs relating to the use of the service when the error is detected. The performance monitoring server then provides an error report with the one or more logs to assist a developer in diagnosing the cause of the error with the application.

The embodiment of the invention provides a flow collection method for network or application performance management. The flow collection method comprises the following steps: a collection unit carriesout network packet monitoring on a target virtual network card in a shared memory by calling a packet grabbing socket interface of an operating system kernel; If the collecting unit detects that there are newly added network packets in the shared memory, the collecting unit collects the new network packets and completes the flow collection; The shared memory is the memory shared by the collectionunit and the operating system kernel, and the newly added network packets are the network packets sent or received by the target virtual machine corresponding to the target virtual network card. A method for collecting traffic for network or application performance management provided by an embodiment of that present invention carries out network packet monitoring on a target virtual network cardin a shared memory by setting a collection unit, if a newly added network packet is detected, the newly added network packet is acquired, the high-efficient flow collection can be carried out, a reliable data source is provided for a back-end analysis tool, and the flow of mutual visit can be completely collected without changing the virtual machine.

An application performance management system is disclosed. Operational elements are dynamically discovered and extended when changes occur. Programmatic knowledge is captured. Particular instances of operational elements are recognized after changes have been made using a fingerprint / signature process. Metrics and metadata associated with a monitored operational element are sent in a compressed form to a backend for analysis. Metrics and metadata from multiple similar systems may be used to adjust / create expert rules to be used in the analysis of the state of an operational element. A 3-D user interface with both physical and logical representations may be used to display the results of the performance management system.

A system and method for managing licensing of virtual environment applications. A licensing module of a first installed virtual environment application detects installation of affiliated applications and gives them a group licensing key for passing it to the licensing server. The licensing server derives licensing parameters of the affiliated applications from the group key and gives the licenses to the affiliated applications, in case of successful validation. The licensing system provides protection from un-authorized copying of the applications. If an affiliated virtual environment application is copied (or moved) to another hardware node without its virtual environment, the licensing server will not give the license activation key to this virtual environment application.

The invention provides an RPC service or message designated consumption method and device, a storable medium and a terminal. The method comprises: sending a test request to an agent unit in a preset mode; the agent unit analyzing the received test request to obtain a routing code, and configuring a corresponding combined link in a routing configuration center according to the routing code; and transmitting the routing code in a service corresponding to the combined link through a preset application performance management mode, the transmission of the routing code in the service corresponding to the combined link being carried out according to a service arrangement relationship in the combined link, so as to realize the specified consumption of the RPC service or the specified consumption of the message queue. According to the invention, the RPC service and the designated consumption function of the message queue are realized by combining the routing code under the condition of no invasion to the business code and complete transparency based on the preset application performance management, the service calling is executed according to the designated calling link, and the test efficiency and the test convenience are greatly improved.

An application performance management system is disclosed. Operational elements are dynamically discovered and extended when changes occur. Programmatic knowledge is captured. Particular instances of operational elements are recognized after changes have been made using a fingerprint / signature process. Metrics and metadata associated with a monitored operational element are sent in a compressed form to a backend for analysis. Metrics and metadata from multiple similar systems may be used to adjust / create expert rules to be used in the analysis of the state of an operational element. A 3-D user interface with both physical and logical representations may be used to display the results of the performance management system.

The invention discloses a PHP-based application performance management method and a PHP-based application performance management module. The application performance management method comprises the steps of synchronously mapping primary codes of a user application to a piece of internal memory while performing PHP grammar analysis, analyzing into Opcode and / or executing Opcode by a Zend engine, and processing data in the internal memory asynchronously to obtain data for APM; analyzing the obtained data for the APM, wherein the data comprises any one or several kinds of category, method operating stack, and operating time, operating parameter and operating internal memory information of each category method; and then performing analysis according to the obtained data for the APM to find out performance bottleneck of PHP. By adoption of the application performance management method, collection expansion can be put into a bottom layer operating engine of the PHP conveniently on the basis of not modifying any primary application codes; the performance bottleneck problem can be rapidly found and positioned; and good browsing and data analysis result tracking can be experienced by the provided platform. The PHP-based application performance management method and the PHP-based application performance management can use a framework which comprises LAMP (Linux Apache Mysql PHP) and LNAMP (Linux Nginx Apache Mysql PHP).

Various techniques employed by an application performance management service to generate an application behavior learning based capacity forecast model are disclosed. In some embodiments, such a capacity forecast model is at least in part generated by clustering collected transaction data into one or more usage patterns, analyzing collected usage pattern data, and solving a mathematical model generated from the usage pattern data to determine a sensitivity of a resource to each type of transaction associated with an application.

In application testing and debugging processes, it is necessary to change, rebuild and test code. Thus, to speed the testing and debugging process, the process of retrieving application change lists, rebuilding the application, executing the application and recording application performance metrics may be automated. Additionally, through the use of environment independent metrics 110, application performance can be better evaluated for a wider range of hypothetical hardware configurations than tradition metrics which are highly dependent on the environment in which the test is running.

A system for determining a root cause of a performance issue of a software application executing in a distributed computer system. The system includes constructing a hierarchical graph of metrics of a component of the distributed computer system based on search traces of the metrics of different users. A parent-child edge between a first metric and a second metric in the hierarchical graph is constructed when there is a sequential association between the search traces. A sibling edge between the first metric and the second metric in the hierarchical graph is constructed when there is no sequential association between the search traces. A metric investigation recommendation is provided to address the performance issue based on traversal of the hierarchical graph of the metrics.