Abstract: A data intake and query system can manage the search of large amounts of data using one or more processing nodes. The data intake and query system can identify a first group of processing nodes and cause a first processing node of the group to download and search a particular data group based on a first node map. The data intake and query system may identify a second group of processing nodes that includes the first group of processing nodes and a second processing node. The data intake and query system can transmit commands to cancel one or more data group downloads at the first processing node and can reassign the corresponding data groups for download to the second processing node based on a second node map.

Abstract: A computer-implemented method for performing cross regional disaster recovery includes receiving event data at an active deployment of a data intake and query system. The method further includes processing the event data in a plurality of stages of the data intake and query system to convert the event data into searchable buckets of indexed data, wherein files generated at each stage of the processing are uploaded to a first scalable storage module in the active deployment. Further, the method includes replicating the files generated at each stage of the processing to a second scalable storage module in a standby deployment of the data intake and query system. Responsive to an outage at the active deployment, the method includes transitioning control to the standby deployment and recovering the event data at the standby deployment using the files replicated to the second scalable storage module.

Abstract: A data intake and query system can manage the search of large amounts of data using one or more processing nodes. The data intake and query system can identify a group of processing nodes and assign a first processing node of the group to download and search a particular data group based on a first node map. The data intake and query system may identify an action associated with the first processing node. The data intake and query system can cause a particular processing node of the group to download the particular data group based on a second node map and transmit an authorization to perform the action to the first processing node.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives raw machine data at an indexing system, and stores at least a portion of the raw machine data in buckets using containerized indexing nodes instantiated in a containerized environment. The data intake and query system stores the buckets in a shared storage system.

Abstract: A data intake and query system can manage the search of large amounts of data using one or more processing nodes. When a new processing node is added or becomes available, the node coordinator can reassign duties from one or more processing nodes to the new processing node. The node coordinator can initially assign the new processing node one or more groups of data for backup purposes. At a later time, the node coordinator can reassign the new processing node to the one or more groups of data for searching purposes.

Abstract: Systems and methods are described for monitoring indexing nodes, populating and maintaining a resource catalog with relevant information, receiving requests for indexing node availability or assignments, identifying indexing nodes that are available to process data, and/or communicating information relating to available indexing nodes. The system can maintain the resource catalog based on communications with each of the containerized indexing nodes. The system can receive, from a partition manager of a data intake and query system, a request for a containerized indexing node that the partition manager can assign to process data received by the partition manager. The system can identify an available containerized indexing node to process the data. The system can communicate, to the partition manager, an indexing node identifier associated with the available containerized indexing node.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives raw machine data at an indexing system, and stores at least a portion of the raw machine data in buckets using containerized indexing nodes instantiated in a containerized environment. The data intake and query system stores the buckets in a shared storage system.

Abstract: 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.

Abstract: A data intake and query system can manage the search of large amounts of data using one or more processing nodes. When a new processing node is added or becomes available, the node coordinator can reassign duties from one or more processing nodes to the new processing node. The node coordinator can initially assign the new processing node one or more groups of data for backup purposes. At a later time, the node coordinator can reassign the new processing node to the one or more groups of data for searching purposes.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. An indexing system of the data intake and query system receives data and stores at least a portion of it in buckets, which are then stored in a shared storage system. The indexing system merges multiple buckets to generate merged buckets and uploads the merged buckets to the shared storage system.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives raw machine data at an indexing system, and stores at least a portion of the raw machine data in buckets using containerized indexing nodes instantiated in a containerized environment. The data intake and query system stores the buckets in a shared storage system.

Abstract: 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.

Abstract: Systems and methods are described for processing incoming data. The system can receive, from a first partition manager of a data intake and query system, first data that is associated with a first identifier, and can receive, from a second partition manager of the data intake and query system, second data that is associated with a second identifier. The system can process the first data and store first results of said processing the first data in one or more first buckets associated with the first tenant identifier. The system can process the second data and store second results of said processing the second data in one or more second buckets associated with the second tenant identifier.

Abstract: 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.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. An indexing system of the data intake and query system receives data from an ingestion buffer that includes a marker that indicates data that is made available to the indexing system. The data intake and query system stores at least a portion of the data in buckets and stores the buckets in a shared storage system. Based on the storage of the buckets in the shared storage system, the indexing system indicates to the ingestion buffer that the marker can be updated.

Abstract: Systems and methods are disclosed for processing and executing queries in a data intake and query system. The data intake and query system receives raw machine data at an indexing system, and stores at least a portion of the raw machine data in buckets using containerized indexing nodes instantiated in a containerized environment. The data intake and query system stores the buckets in a shared storage system.