Splunk Inc.

Abhinav Prasad Nekkanti

Marc Vincent Robichaud

Cory Eugene Burke

Nicholas John Filippi

Katherine Kyle Feeney

Irina Korobova

Alexandros Batsakis

Sai Krishna Sajja

Tameem Anwar

Jiahan Wang

Tianyi Gou

Custom communication alert techniques are described. In one or more implementations, a triggering condition is detected by one or more computing devices that is found by searching data using one or more extraction rules of a late-binding schema. Responsive to the detection of the triggering condition of the alert, a communication is formed by the one or more computing devices that corresponds to the alert and that includes one or more tokens based on one or more values of the data taken from fields defined by the one or more extraction rules. The communication is caused to be transmitted by the one or more computing device via a network for receipt by at least one computing device of an intended recipient of the communication.

Dynamic alert messages using tokens based on searching events

Systems and methods are disclosed for scalable bucket merging in a data intake and query system. Various components of a bucket manager can be used to monitor recently-created buckets of data in common storage that are associated with a particular tenant and a particular index, apply a comprehensive bucket merge policy to determine groups of buckets that qualify for merging, merge those group of buckets into merged buckets to be stored in the common storage, and update any information associated with the merged buckets and pre-merged buckets. These components may be shared across multiple tenants, and some of these components may be dynamically scalable based on need. This approach may also provide many additional benefits, including improved search performance from merged buckets, efficient resource utilization associated with discriminate merging, and redundancy in case of component failure.

Bucket merging for a data intake and query system using size thresholds

Custom communication alert techniques are described. A triggering condition is detected by one or more computing devices that is found by searching data using one or more extraction rules of a late-binding schema. Responsive to the detection of the triggering condition of the alert, a communication is formed by the one or more computing devices that corresponds to the alert and that includes one or more tokens based on one or more values of the data taken from fields defined by the one or more extraction rules. The communication is caused to be transmitted by the one or more computing device via a network for receipt by at least one computing device of an intended recipient of the communication.

Triggering alerts from searches on events

Scalable bucket merging for a data intake and query system

Custom communication alert techniques are described where a triggering condition is detected by one or more computing devices that is found by searching data using one or more extraction rules of a late-binding schema. Responsive to the detection of the triggering condition of the alert, a communication is formed by the one or more computing devices that corresponds to the alert and that includes one or more tokens based on one or more values of the data taken from fields defined by the one or more extraction rules. The communication is caused to be transmitted by the one or more computing device via a network for receipt by at least one computing device of an intended recipient of the communication.

Custom communication alerts

Growing community of inventors

Daly City, CA, United States of America

Abhinav Prasad Nekkanti