Abstract: Information technology environment monitoring systems, for example, perform analytics over machine data received from networked entities. Outputs of such a system may be useful to help a user identify a problem and resolve an incident. Inventive aspects enable user interactions to trigger automatic connection with network servers to establish communication channels for conveying analytics and other information related to the problem between and among network nodes participating in the resolution of the problem or incident.

Abstract: Implementing communication barriers in a group-based communication system is described. In an example, a privacy setting associated with a communication privilege for communicating with a user of a group-based communication system can be stored, wherein the privacy setting permits the user to transmit communications via the group-based communication and restricts another user of the group-based communication system from communicating with the user. The group-based communication system can deny a communication privilege of the other user based at least in part on the privacy setting, wherein denying the communication privilege prohibits the other user from at least one of initiating a message associated with a user identifier of the user or transmitting the message to a client device associated with the user identifier.

Abstract: A context-driven multi-user system may include distributed computing resource(s) that replicate proper subset(s) of user-relevant context data to computing device(s). A replication server may receive an update record corresponding to stored context data and determine propagation records based at least in part thereon. Each propagation record may correspond to a respective, different proper subset of the context data. The replication server may transmit the propagation records to respective replication clients. A replication client may receive a propagation record and modify local context data in response. The replication client may receive a data record and determine an update record in response and using the local context data. The computing device may transmit the determined update record. A server may receive a query specification referencing a data source and transmit the query specification to a replication client of the multi-user system, the client corresponding to the data source.

Abstract: Methods, apparatuses and computer program products for implementing at least one communication barrier in a group-based communication system are described herein. The apparatus is configured to at least receive a first group correlation between a first user identifier and a first group identifier, receive a second group correlation between a second user identifier and a second group identifier, retrieve a communication separation settings set associated with the first group identifier and the second group identifier, and cause rendering a first electronic indication on a group-based communication interface. In some examples, the first user identifier is associated with a first workspace identifier and a first group-based communication channel. In some examples, the first group-based communication channel is associated with the first workspace identifier and a second workspace identifier.

Abstract: Information technology environment monitoring systems, for example, perform analytics over machine data received from networked entities. Outputs of such a system may be useful to help a user identify a problem and resolve an incident. Inventive aspects enable user interactions to trigger automatic connection with network servers to establish communication channels for conveying analytics and other information related to the problem between and among network nodes participating in the resolution of the problem or incident.

Abstract: Methods, apparatuses and computer program products for implementing at least one communication barrier in a group-based communication system are described herein. The apparatus is configured to at least receive a first group correlation between a first user identifier and a first group identifier, receive a second group correlation between a second user identifier and a second group identifier, retrieve a communication separation settings set associated with the first group identifier and the second group identifier, and cause rendering a first electronic indication on a group-based communication interface. In some examples, the first user identifier is associated with a first workspace identifier and a first group-based communication channel. In some examples, the first group-based communication channel is associated with the first workspace identifier and a second workspace identifier.

Abstract: Implementing communication barriers in a group-based communication system is described. In an example, a privacy setting associated with a communication privilege for communicating with a user of a group-based communication system can be stored, wherein the privacy setting permits the user to transmit communications via the group-based communication and restricts another user of the group-based communication system from communicating with the user. The group-based communication system can deny a communication privilege of the other user based at least in part on the privacy setting, wherein denying the communication privilege prohibits the other user from at least one of initiating a message associated with a user identifier of the user or transmitting the message to a client device associated with the user identifier.

Abstract: Information technology environment monitoring systems, for example, perform analytics over machine data received from networked entities. Outputs of such a system may be useful to help a user identify a problem and resolve an incident. Inventive aspects enable user interactions to trigger automatic connection with network servers to establish communication channels for conveying analytics and other information related to the problem between and among network nodes participating in the resolution of the problem or incident.

Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs) that are updated using training data. 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.

Abstract: Information technology environment monitoring systems, for example, perform analytics over machine data received from networked entities. Outputs of such a system may be useful to help a user identify a problem and resolve an incident. Inventive aspects enable user interactions to trigger automatic connection with network servers to establish communication channels for conveying analytics and other information related to the problem between and among network nodes participating in the resolution of the problem or incident.

Abstract: 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.

Abstract: A processing device performs a search query to produce a search result set having entries having data items. A table, having rows and columns, is displayed in a user interface. Each data item of a particular entry appears in a respective column of the same row of the table. Each column may correspond to the ordinal position of its respective data item. User input is received designating, for each respective column, a field name and an entity definition component type to which the respective column pertains, and stores for each data item of the particular entry an element value of an entity definition. The element has the element name designated for the respective column in which the data item appeared, and is associated with an entity definition component having the type designated for the respective column in which the data item appeared.

Abstract: A context-driven multi-user system may include distributed computing resource(s) that replicate proper subset(s) of user-relevant context data to computing device(s). A replication server may receive an update record corresponding to stored context data and determine propagation records based at least in part thereon. Each propagation record may correspond to a respective, different proper subset of the context data. The replication server may transmit the propagation records to respective replication clients. A replication client may receive a propagation record and modify local context data in response. The replication client may receive a data record and determine an update record in response and using the local context data. The computing device may transmit the determined update record. A server may receive a query specification referencing a data source and transmit the query specification to a replication client of the multi-user system, the client corresponding to the data source.

Abstract: Techniques are disclosed for providing adaptive thresholding technology for Key Performance Indicators (KPIs) that are updated using training data. 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.

Abstract: Information technology environment monitoring systems, for example, perform analytics over machine data received from networked entities. Outputs of such a system may be useful to help a user identify a problem and resolve an incident. Inventive aspects enable user interactions to trigger automatic connection with network servers to establish communication channels for conveying analytics and other information related to the problem between and among network nodes participating in the resolution of the problem or incident.

Abstract: A context-driven multi-user system may include distributed computing resource(s) that replicate proper subset(s) of user-relevant context data to computing device(s). A replication server may receive an update record corresponding to stored context data and determine propagation records based at least in part thereon. Each propagation record may correspond to a respective, different proper subset of the context data. The replication server may transmit the propagation records to respective replication clients. A replication client may receive a propagation record and modify local context data in response. The replication client may receive a data record and determine an update record in response and using the local context data. The computing device may transmit the determined update record. A server may receive a query specification referencing a data source and transmit the query specification to a replication client of the multi-user system, the client corresponding to the data source.

Abstract: 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.

Abstract: Processing devices receive a file having entries having data items separated by delimiters. Each data item has an ordinal position. The processing device(s) cause display of a table, having rows and columns, in a graphical user interface. Each data items of a particular entry appears in a respective column of the same row. Each column corresponds to the ordinal position of its respective data item. User input is received designating, for each respective column, a field name and an entity definition component type to which the respective column pertains, and stores for each of the data items of the particular entry a value of an element of an entity definition. The element has the element name designated for the respective column in which the data item appeared, and is associated with an entity definition component having the type designated for the respective column in which the data item appeared.

Abstract: 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.

Abstract: A processing device performs a search query to produce a search result set having entries having data items. A table, having rows and columns, is displayed in a user interface. Each data item of a particular entry appears in a respective column of the same row of the table. Each column may correspond to the ordinal position of its respective data item. User input is received designating, for each respective column, a field name and an entity definition component type to which the respective column pertains, and stores for each data item of the particular entry an element value of an entity definition. The element has the element name designated for the respective column in which the data item appeared, and is associated with an entity definition component having the type designated for the respective column in which the data item appeared.