Computer Associates Think, Inc.

Microsoft Technology Licensing, LLC

Bluestripe Software, Inc.

Ca, Inc.

John Branson Bley

Mark Jacob Addleman

Aydan R Yumerefendi

Daryl L Puryear

Glenn Thomas Nethercutt

Patrick Reynolds

Lewis K Cirne

Brian Zuzga

David Irwin

David Isaiah Seidman

Patrick A Reynolds

Carl Seglem

Nathaniel C Williams

Krates Ng

David Morris Hull

David Latham

Provided are methods and computer program products for analyzing and tracing the contents of network traffic in a network device and to help identify network performance issues. Methods for analyzing traffic include identifying thread identifiers associated with transactions, determining related events, and associating similar transactions and events into an aggregated list of transactions. Methods of tracing transactions include identifying thread identifiers associated with transactions and related events and serializing events into a serialized list of events to facilitate tracing single transactions.

Methods and computer program products for transaction analysis of network traffic in a network device

Provided are methods and computer program products for generating a model of network application health. Methods may include receiving activity data that corresponds to activities of multiple applications that are operable to execute on at least one networked device, and combining the received activity data to remove redundant portions thereof and/or to reconcile inconsistencies therein. Based on the received activity data, ones of the multiple applications are identified, and relationships between the identified applications are determined. A model is generated including the identified applications and the relationships therebetween, and a representation of the model is displayed. Related computer program products are also provided.

Methods and computer program products for generating a model of network application health

Provided are methods and computer program products for analyzing transactions across a network and to help identify network performance issues. Methods for analyzing traffic include identifying an outbound transaction and a related transaction type, and identifying candidate inbound transactions that have the same transaction type as the transaction type of the outbound transaction. One or more transaction data parameters may be selected that correspond to the outbound or inbound transactions. Candidate transactions may be determined to be related to the outbound transaction based on one or more transaction data parameters.

Methods and computer program products for transaction relationships between application servers

Methods are classified as simple or complex. Complex methods are modified to add a tracer. Methods classified as simple are not modified to add a tracer. There are many different standards that can be used within the spirit of the present invention to classify methods as simple or complex. In one embodiment, a method is complex if it meets three criteria: (1) the method has an access level of public or package; (2) the method is non-synthetic and (3) the method calls at least one other method. Methods that do not satisfy all three criteria are classified as simple methods. In other embodiments, a method can be classified as complex if it satisfies two of the above criteria, or other similar criteria.

Simple method optimization

Provided are methods and computer program products for monitoring the performance of network applications executing within operating-system-level virtualization containers. Methods may include enumerating operating-system-level virtualization containers on a networked device; creating a named pipe accessible by at least one application running in each operating-system-level virtualization container; retrieving, via the named pipe, performance data gathered by the at least one application, including an identification of each operating-system-level virtualization container; generating metrics based on the retrieved performance data; and generating an event incorporating the metrics, including operating-system-level virtualization container identifiers.

Methods and computer program products for monitoring and reporting performance of network applications executing in operating-system-level virtualization containers

Provided are methods and computer program products for monitoring application performance in a networked device. Methods may include collecting performance data corresponding to at least one application running on the networked device; generating multiple metrics based on the collected performance data; generating an event incorporating at least one of the multiple metrics; and storing the event and an associated timestamp in a persistent data store. Methods may also include transmitting a listing of one or more persistent data store files responsive to receiving a query from a network health data processing application for existing persistent data store files, and transmitting a specified persistent data store file responsive to receiving a request for the specified persistent data store file by a network health data processing application.

Methods and computer program products for storing generated network application performance data

Provided are methods and computer program products for monitoring and reporting network application performance in a networked device. Methods may include collecting performance data corresponding to at least one application running on the networked device in substantially real time using at least one kernel space driver interface; generating multiple kernel level metrics and multiple user level metrics based on the collected performance data; aggregating the kernel level metrics and the user level metrics that were generated during a predefined time interval; and generating, responsive to aggregating the kernel level metrics and the user level metrics, an event incorporating the aggregated metrics.

Methods and computer program products for monitoring and reporting network application performance

Provided are methods and computer program products for providing a circular buffer of values representing performance data that corresponds to a network application on a network device. Methods may include compressing a binary representation of a value using bit-oriented compression that is biased based on a frequency of occurrence of values and/or value ranges, and appending the compressed binary representation to a circular buffer. The bit-oriented compressed may be biased such that values and/or value ranges that occur with a higher degree of frequency are compressed to a higher degree, while values and/or value ranges that occur with a lower degree of frequency are compressed to a lower degree.

Methods and computer program products for providing a compressed circular buffer for efficient storage of network performance data

Methods are classified as simple or complex. Complex methods are modified to add a tracer. Methods classified as simple are not modified to add a tracer. There are many different standards that can be used within the spirit of the present invention to classify methods as simple or complex. In one embodiment, a method is complex if it meets three criteria: (1) the method has an access level of public or package; (2) the method is non-synthetic and (3) the method calls at least one other method. Methods that do not satisfy all three criteria are classified as simple methods.

A system receiving time series data will store the data in a first format suited for quick writing. That data will subsequently be converted from the first format to a second format better suited than the first format for compact storage and queries. Over time, the data in the second format can be aggregated and/or down sampled. In one embodiment, the first format includes a set of blocks of information, with each block of information storing data for a set of metrics during a time period. The second format includes a header, a set of blocks of data and a footer. Each bock of data in the second format stores information for a metric over multiple time periods. The footer includes pointers to each block of data.

Efficient processing of time series data

Provided are methods and computer program products for identifying and monitoring related business application processes executing on at least one networked device. Methods may include identifying a first process that corresponds to a specified business application process; identifying root processes by tracing a dependency path from the first process to each of the root processes; grouping at least one of the root processes into a root group; and identifying a dependency chain of the at least one root process in the root group.

Methods and computer program products for identifying and monitoring related business application processes

Network performance is monitored using timing information retrieved from a client device, server in communication with the client, or both. Client side timing information is retrieved using performance monitoring code provided by the server. The code may be provided to the client as part of a content response. Once content in the provided content response is loaded, the code sends the timing information to the server. The server may then process the timing information to calculate response time and other time information metrics.

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Durham, NC, United States of America

John Branson Bley