Jun Li

The approaches presented herein may include loading a plurality of metadata instances for a plurality of data blocks stored in a database, each metadata instance of the plurality of metadata instances indicating a respective data block structure applied to aggregate a set of data messages. The approaches may include processing a first metadata instance corresponding to a first set of one or more data blocks of the plurality of data blocks and a second metadata instance corresponding to a second set of one or more data blocks of the plurality of data blocks to perform an anomaly storage check between the first set of one or more data blocks of the plurality of data blocks and the second set of one or more data blocks of the plurality of data blocks. The approaches may include generating an output based at least in part on the anomaly storage check.

Described are aspects of a sharded monitoring system that collects metrics data from a plurality of targets within a monitored system. In various embodiments, the monitoring system includes multiple monitoring-server instances each collecting metrics data from a respective subset of the targets, as well as a federation server that collects aggregated metrics data from the other monitoring-server instances. Mappings between monitoring targets and monitoring-server instances collecting their metrics data may be stored in a temporal routing map, e.g., on the federation server, which may build the map, in accordance with some embodiments, based on time-series routing metrics received from the other monitoring-serve instances. The routing map may be used to direct queries for metrics data from a client to the appropriate monitoring-server instance. Further aspects and embodiments are disclosed.