Abstract: An indexer retrieves a set of messages generated by a given data source of a plurality of data sources from a data storage. The indexer also processes the set of messages to generate processed data for the given data source and stores the processed data in a cache. The processed data includes a data file with data from the given data source and an index file identifying a location of the data file. The indexer determines when the processed data for the given generation source reaches a threshold size. The indexer also stores the data file of the processed data in the data storage and updates the index file for the processed data to identify the data storage as the location of the data file.

Abstract: In some examples, sensor data comprising a first set and second set of sensor data can be received. The first set of sensor data can be provided to a rule-based classifier to identify a first normalized data tag. The second set of sensor data can be provided to a trained classifier to identify a second normalized data tag. The trained classifier can include a machine-learning model that has been trained based on tag sensor training data for classifying the second set of sensor data into a respective class associated with the second normalized data tag. The first and second sets of sensor data can be updated with respective first and second normalized data tags to normalize the first and second sets of sensor data to provide a standardized data label for each of the first and second sets of sensor data.

Abstract: A drone for replacing a removeable device can include a drone body with at least three lift-generating rotors spaced apart from the drone body and operating in concert that provide lift sufficient to propel the drone in at least six directions. The drone can include a first bay attached to the drone body, the first bay comprising a first mounting mechanism to dismount a first removeable device from a device receptacle and to securely stow the first removeable device. The drone can also include a second bay attached to the drone body comprising a second mounting mechanism to stow a second removeable device and to mount the second removeable device on the device receptacle.

Abstract: A drone for replacing a removeable device can include a drone body with at least three lift-generating rotors spaced apart from the drone body and operating in concert that provide lift sufficient to propel the drone in at least six directions. The drone can include a first bay attached to the drone body, the first bay comprising a first mounting mechanism to dismount a first removeable device from a device receptacle and to securely stow the first removeable device. The drone can also include a second bay attached to the drone body comprising a second mounting mechanism to stow a second removeable device and to mount the second removeable device on the device receptacle.

Abstract: In some examples, sensor data comprising a first set and second set of sensor data can be received. The first set of sensor data can be provided to a rule-based classifier to identify a first normalized data tag. The second set of sensor data can be provided to a trained classifier to identify a second normalized data tag. The trained classifier can include a machine-learning model that has been trained based on tag sensor training data for classifying the second set of sensor data into a respective class associated with the second normalized data tag. The first and second sets of sensor data can be updated with respective first and second normalized data tags to normalize the first and second sets of sensor data to provide a standardized data label for each of the first and second sets of sensor data.