Patent application number | Description | Published |
20160103559 | GRAPHICAL USER INTERFACE FOR STATIC AND ADAPTIVE THRESHOLDS - Techniques are disclosed for providing a graphical user interface (GUI) for displaying and configuring adaptive or static thresholds for Key Performance Indicators (KPIs). The GUI may include one or more presentation schedules that may display threshold information associated with time policies. Each presentation schedule may include multiple time slots and span a portion of one or more time cycles. Some of the time slots may be associated with a specific time policy and may have a unifying appearance that distinguishes the time slots from timeslots associated with other time policies. The presentation schedules may arrange the time slots in a time grid arrangement (e.g., calendar grid view) or a graph arrangement with depictions (e.g., points, lines) that may illustrate KPI values and threshold markers that may illustrate the threshold values. | 04-14-2016 |
20160103862 | IDENTIFYING EVENTS USING INFORMATIONAL FIELDS - A computer system determines if events in a machine data store satisfy event selection criteria. The events may pertain to a service entity represented by a stored entity definition. The entity definition may include information to identify the events from the machine data. Other informational fields in the entity definition may be effectively attributed to the identified events and take part in satisfying the event selection criteria. | 04-14-2016 |
20160103887 | DEFINING A NEW SEARCH BASED ON DISPLAYED GRAPH LANES - A system, method and graphical user interface (GUI) for creating a new correlation search based on a set of displayed graph lanes. The graph lanes may provide graphical visualizations of key performance indicators (KPIs) associated with one or more services and may assist a user in identifying a situation (e.g., problem or a pattern of interest) in the performance of the services. A user may adjust (e.g., add graph lanes, zooming-in) the graph lanes in order to display the situation, at which point the user may submit a request to create a new correlation search to detect if the situation reoccurs. The system may generate the new correlation search by iterating through the set of graph lanes and analyzing the fluctuations of each KPI to determine triggering criteria. The system may then run the correlation search and generate a notable event or alarm when the situation reoccurs. | 04-14-2016 |
20160103889 | DEFINING A GRAPHICAL VISUALIZATION ALONG A TIME-BASED GRAPH LANE USING KEY PERFORMANCE INDICATORS DERIVED FROM MACHINE DATA - A service monitoring system receives a selection of key performance indicators (KPIs) that each indicate a different aspect of how a service provided by one or more entities is performing. Each entity of the one or more entities produces machine data or wherein each entity has its operation reflected in machine data not produced by the entity. Each KPI is defined by a different search query that derives one or more values from the machine data pertaining to the one or more entities providing the service, where each of the one or more values is associated with a point in time and representing the aspect of how the service is performing at the associated point in time. For each of the selected KPIs, the service monitoring system derives the one or more values and causes display of a graphical visualization of the derived one or more values for the KPI along a time-based graph lane. The graph lanes for the selected KPIs are parallel to each other and the graphical visualizations in the graph lanes are all calibrated to a same time scale. | 04-14-2016 |
20160103909 | THRESHOLDS FOR KEY PERFORMANCE INDICATORS DERIVED FROM MACHINE DATA - One or more processing devices access a service definition for a service provided by one or more entities that each produce machine data or about which machine data is generated. The service definition identifies the entities that provide the service and, for each entity, identifying information for locating machine data pertaining to that entity. The processing devices access a key performance indicator (KPI) for the service that is defined by a search query that produces a value derived from the machine data pertaining to the entities identified in the service definition. The value indicates how the service is performing at a point in time or during a period of time and indicates a state of the KPI. A graphical interface is displayed and an indication of at least one threshold, which defines an end of a range of values representing a state of the KPI, for the KPI is received. | 04-14-2016 |
20160104076 | ADAPTIVE KEY PERFORMANCE INDICATOR THRESHOLDS - Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs). Adaptive thresholding technology may automatically assign new values or adjust existing values for one or more thresholds of one or more time policies. Assigning threshold values using adaptive thresholding may involve identifying training data (e.g., historical data, simulated data, or example data) for the time frames and analyzing the training data to identify variations within the data (e.g., patterns, distributions, trends). A threshold value may be determined based on the variations and may be assigned to one or more of the thresholds without additional user intervention. | 04-14-2016 |
20160104091 | TIME VARYING STATIC THRESHOLDS - A system, method, and graphical user interface (GUI) are disclosed for defining and applying time varying static thresholds. Time varying static thresholds may enable a user (e.g., IT manager) to define multiple sets of key performance indicator (KPI) thresholds that vary over time, for example, one set may apply during week-days and another set may apply on weekends. This may enable a user to have thresholds that take into account cyclical patterns of behavior (e.g., repeat every week). The KPI thresholds may be based on any unit of time, such as an hour of the day, days of the week, a month of the year (such as a holiday season). Each set may include KPI thresholds that specify values that when exceeded may initiate an alert or some other action. | 04-14-2016 |
20160104093 | PER-ENTITY BREAKDOWN OF KEY PERFORMANCE INDICATORS - A service monitoring system (SMS) produces key performance indicator (KPI) scores that indicate the performance of a service. To produce the KPI scores, the SMS may process the data for a large number of machine entities that perform the service. This data can be processed on a per-entity basis to produce a per-entity KPI score representing the contribution of a particular machine to the overall KPI. The per-entity KPI scores can be transformed to statistical representations which can be visualized as a distribution stream graph. The visualization may be presented with interactive aspects. | 04-14-2016 |
20160105325 | TOPOLOGY NAVIGATOR FOR IT SERVICES - Techniques are disclosed for providing a topology navigator that may enable a user to view performance information for multiple IT services associated with a user's IT environment. The topology navigator may include multiple display components for displaying information about the services. A first display component may display multiple services as a graph of interdependent service nodes and a second display component may display information about one or more of the service nodes. The topology navigator may enable a user to visually inspect the aggregate KPI (e.g., health score) of multiple services to identify dependent services that are of interest (e.g., low performance) and navigate through the services to identify dependent services that may adversely affect a service of interest to the user. In one example, the second display component may display key performance indicators (KPIs) associated with the dependent service and the user may select one or more of the KPIs to add them to another display component for further analysis. | 04-14-2016 |
20160105335 | SERVICE MONITORING INTERFACE - Services in an operating environment are represented by stored service definitions that identify entities that perform the service. Entity definitions identify machine data pertaining to the entity. A key performance indicator (KPI) of the service characterizes the service on the whole or some aspect of it. Each KPI is defined by a search query that derives a value from machine data identified in the entity definitions. Processing devices cause display of a service-monitoring page having a services summary region and a services aspects region. The summary region displays interactive summary tiles that each correspond to a service and present information about an aggregate KPI that characterizes the service. The aspects region displays interactive aspect tiles that each correspond to a KPI characterizing some aspect of an associated service. Additional information may be included in the service-monitoring page and interaction features enable a user to navigate to enhanced information displays. | 04-14-2016 |