Splunk Inc.

Cisco Technology, Inc.

Nicholas Matthew Tankersley

Arun Ramani

Fang I Hsiao

Venkata Kuruvada

Ai-chi Lu

Vladimir A Shcherbakov

Peter Wu

Junyu Wang

Stewart Smith

Tristan Antonio Fletcher

Alok Anant Bhide

Alan Vincent Hardin

Kan Wu

Ujwala Khante

Daniel See

Po Hsin Wang

Mingrui Wei

George Daloukov

Systems and methods are described to determine relationships between one or more components of an isolated execution environment system based on data obtained from a data intake and query system. Based on the determined relationships, an interactive visualization is generated that indicates the hierarchical relationship of the components. In some cases, to illustrate the relationship between components of the isolated execution environment system, the visualization can include one or more display objects displayed in a subordinate or superior relationship to other display objects. In certain cases, based on an interaction with a display object, the system can generate a query and/or display additional information and/or visualizations based on the results of the query.

Interactive visualization of a relationship of isolated execution environments

A network storage volume stores a first entry in a first-mode storage bucket and a second entry in a second-mode storage bucket, the first-mode storage bucket having first bucket metadata, and the second-mode storage bucket having second bucket metadata. At least one bucket to be purged from the buckets of the network storage volume are selected based at least in part on bucket metadata of the plurality of buckets, where the buckets include the first-mode storage bucket and the second-mode storage bucket. The selected bucket is caused to be purged from the network storage volume.

Multi-modal data storage volume regulation

An example method of utilizing shared search queries for defining multiple key performance indicators (KPIs) comprises: receiving input specifying one or more service definitions, each service definition of the one or more service definitions specifying an entity definition for an entity providing a service of one or more services executing in an information technology (IT) environment, wherein the IT environment is monitored by the service monitoring system, wherein the service monitoring system uses first machine data of a first entity specified by a first service definition of the one or more service definitions to monitor a first KPI for a first service of the one or more services, and wherein the service monitoring system uses second machine data of a second entity specified by a second service definition of the one or more service definitions to monitor a second KPI for a second service of the one or more services; determining that the first machine data and the second machine data include common machine data; defining, based on the first machine data and the second machine data including common machine data, a shared base search query for the first KPI and the second KPI; executing the shared based search query to generated shared base search query results for the first KPI and the second KPI; and generating, using results from executing the shared base search query, a first value for the first KPI and a second value for the second KPI.

Utilizing shared search queries for defining multiple key performance indicators

Data intake and query system (DIQS) instances supporting applications including lower-tier, focused, work group oriented applications may be tailored to meet the specific needs of the users. Rather than offer pre-configured options, the DIQS-based application offers the user the ability to customize data collection before deploying the collectors for specified host entities within an IT environment. Once the user selects the metrics and/or log sources for data collection at a custom interface, the lower-tier DIQS generates custom script operable to establish collection of the source data having the selected metrics and events associated with selected log sources from the specified host entities. The user can display and analyze the collected data.

Information technology networked entity monitoring with metric selection

Data intake and query system (DIQS) instances supporting applications including lower-tier, focused, work group oriented applications, are tailored to display the metrics for the needs of the user. An interface caused by operation of an entity monitoring system (EMS) operating in conjunction with the lower-tier DIQS displays the monitored entities as individual representations. The user selects a metric and a metric threshold. The EMS causes a display of an interface having a representation for each monitored entity. Each representation includes a metric value and indicates an entity status based on the metric value and the threshold. The user can dynamically change the threshold on the interface for easy visualization of aggregation of monitored entities to determine the performance of the infrastructure. The interface also provides the user with the ability to select an entity and click through to the entity analysis workspace for more detailed information.

Dynamically monitoring an information technology networked entity

One or more lower-tier system monitoring components are installed and operated prior to installing a higher-tier system monitoring component. A lower-tier system may be an individual server, network device, or local area network. A higher-tier system may include an enterprise or organization wide network or service that includes at least a part of the lower-tier system. Once the higher-tier system monitoring component is installed, the higher-tier and lower-tier system monitoring components use an interface to operate with one another to form a single larger instance of an organization wide monitoring system. The combination of the higher-tier system monitoring component and the one or more lower-tier system operating components performs monitoring aspects of the overall information technology environment based at least in part on machine data produced and made searchable to provide monitoring results.

Lower-tier application deployment for higher-tier system

Automated discovery of relationships between entities within an IT environment. A technique is performed by a relationship module that performs a discovery search for entity relationships to produce a set of relationship search results. The relationship module then generates a set of relationship definitions from the set of relationship search results which are stored to a relationship collection in a data store. A technique for automatically updating entity and relationship definitions and removing outdated entity and relationship definitions stored to a data store. An update module automatically updates entity and relationship definitions at predetermined time intervals. The update history in each definition is also modified to reflect the update process. A retire module automatically removes outdated definitions using the update history in each definition.

Automatic entity control in a machine data driven service monitoring system

A network storage volume stores first entries in a first-mode storage bucket and a second entries in a second-mode storage bucket. The first-mode storage bucket has first bucket metadata, and the second-mode storage bucket has second bucket metadata. A computer-implemented method includes comparing a utilized capacity of the network storage volume to a target capacity information of the network storage volume to obtain a comparison result. Based on the comparison result, at least one bucket is selected to be purged from the buckets of the network storage volume based at least in part on bucket metadata of the buckets. The method further includes causing a purge of the at least one selected bucket from the network storage volume.

Storage volume regulation for multi-modal machine data

Isolated execution environment system monitoring

An example method of implementing a monitoring interface for an information technology environment comprises: identifying machine data reflecting activity in the information technology environment comprising a plurality of entities providing a service; executing a search query to derive, from the machine data, a value of a key performance indicator (KPI) reflecting performance of the service; and causing display of a monitoring interface including: an identifier of the service, a color coded indication of a state of the KPI, and a visual representation of time series data associated with the service.

Monitoring interface for information technology environment

In accordance with various embodiments of the present disclosure, a query for information related to machine data generated by one or more machine data sources of a cloud computing platform (CCP) is sent by a client computing device and to a cloud computing monitoring component of the CCP, where the query is formed using native query language of the CCP. As a result, the client computing device via a connector receives a first data object that is formatted in accordance with a first format associated with the CCP. The client computing device via the connector may then convert the first data object to one or more second data objects formatted in accordance with a second format that allows for enhanced ingestion by a data intake and query system.

Conversion of cloud computing platform data for ingestion by data intake and query system

Lower-tier application deployment for higher-tier system data monitoring

A server group of a data intake and query system (DIQS) establishes connections with multiple source data network nodes. Data from the multiple sources comports with a variety of different data modes and may be received via the established network connections on a periodic or continuous basis for ongoing capture as modal entries of modal buckets of a common networked storage volume. Rates of data reception across the network connections influences a process to maintain a measured utilization of storage volume capacity at, near, or below a targeted level.

Network ingestion of multimodal multisource machine data to traffic regulated volume

An automatic service monitor in an information-technology environment performs regular search queries against generated machine data to derive performance measurements. The information technology environment is defined in terms of services provided by entities, and the performance measurements are defined as key performance indicators (KPIs) of the services. Generated machine data used by the search queries pertain to the entities performing the service. Definitional information for the services, entities, and KPIs is administered by a user to control the operation of the service monitor. Various aspects of such definitional information as well as related performance measurement information may be presented in a unified console display tailored to, and organized around, a particular entity. The console display may serve as a central launch point by supporting user interaction to navigate to other specialized monitoring interfaces.

Growing community of inventors

Seattle, WA, United States of America

Nicholas Matthew Tankersley