Abstract: Techniques and tools are described for producing time-series data using faceted search based on document creation time. For example, index information can be created from events (e.g., by adding meta-data and indexing the events as documents). In addition, index information can be created that maps document creation time to time ranges. Search queries can then be executed (e.g., comprising ad-hoc filters to filter on the meta-data), and search results can be faceted on the time ranges to produce time-series data. The time-series data can be graphed to display trends of activity (e.g., trends of events based on user activity).

Abstract: According to one example, the present disclosure involves a system including a data-communications server which uses client-specific sets of data that respectively indicate, for each of a plurality of remotely-situated disparate client entities, data services including data-communications call routing services and parked-call services to be provided on behalf of the client entity from among the client entities. The server is to access the client-specific sets of data (e.g., as may be stored in database of a memory circuit), and, in response, the server receives incoming calls involving user endpoint devices associated with respective ones of the client entities. These actions may be followed by the server providing the data services for the incoming calls in a manner consistent with the client-specific sets of data, and conveying for one of the incoming calls, one of multiple call-related context indications to one of the user endpoint devices.

Abstract: Techniques and tools are described for producing time-series data using faceted search based on document creation time. For example, index information can be created from events (e.g., by adding meta-data and indexing the events as documents). In addition, index information can be created that maps document creation time to time ranges. Search queries can then be executed (e.g., comprising ad-hoc filters to filter on the meta-data), and search results can be faceted on the time ranges to produce time-series data. The time-series data can be graphed to display trends of activity (e.g., trends of events based on user activity).

Abstract: Techniques and tools are described for producing time-series data using faceted search based on document creation time. For example, index information can be created from events (e.g., by adding meta-data and indexing the events as documents). In addition, index information can be created that maps document creation time to time ranges. Search queries can then be executed (e.g., comprising ad-hoc filters to filter on the meta-data), and search results can be faceted on the time ranges to produce time-series data. The time-series data can be graphed to display trends of activity (e.g., trends of events based on user activity).

Abstract: Techniques and tools are described for producing time-series data using faceted search based on document creation time. For example, index information can be created from events (e.g., by adding meta-data and indexing the events as documents). In addition, index information can be created that maps document creation time to time ranges. Search queries can then be executed (e.g., comprising ad-hoc filters to filter on the meta-data), and search results can be faceted on the time ranges to produce time-series data. The time-series data can be graphed to display trends of activity (e.g., trends of events based on user activity).

Abstract: Detecting unauthorized or excessive use of a resource is disclosed. The value of a metric is updated based at least in part on a first data associated with a current event associated with the metric and a second data associated with a most recent prior event associated with the metric. Responsive action is taken if the updated value of the metric exceeds a threshold.

Abstract: Detecting unauthorized or excessive use of a resource is disclosed. The value of a metric is updated based at least in part on a first data associated with a current event associated with the metric and a second data associated with a most recent prior event associated with the metric. Responsive action is taken if the updated value of the metric exceeds a threshold.