Abstract: In some implementations, a first network device that hosts a bridge domain (BD) may receive inter-subnet multicast traffic associated with the BD. The BD may forward, using a supplemental bridge domain (SBD) interface of the first network device, and via an SBD, a first copy of the inter-subnet multicast traffic to a second network device that hosts the BD. The first network device may forward, using the SBD interface and via the SBD, a second copy of the inter-subnet multicast traffic to a third network device that does not host the BD. The first network device may forward, using an integrated routing and bridging (IRB) interface of the first network device associated with the BD, a third copy of the inter-subnet multicast traffic to a fourth network device that hosts the BD (e.g., when the fourth network device is a multihoming peer of the first network device).

Abstract: In some implementations, a first network device may transmit data to a second network device based on the data being associated with a media access control (MAC) address that is associated with an access port of the second network device, wherein the first network device and the second network device are included in a plurality of network devices interconnected by first tunnels associated with a forwarding plane and second tunnels associated with a control plane. The first network device may determine that the MAC address is associated with an access port of the first network device and may transmit, via one or more first tunnels, a notification indicating that the MAC address is associated with the first network device. The first network device may transmit, via one or more second tunnels, a notification indicating that the MAC address is associated with the first network device.

Abstract: A computing platform may perform computer database file management by implementing statistics maintenance and column similarity. The computing platform may receive an input table and determine a data type for the received input table. The computing platform may determine statistics relevant to the input table, and statistics relevant to historical tables of the data type. Statistics may include overlap, distribution, mean, standard deviation, percentile, median, and the like. Based on the determined statistics, the computing platform may determine a similarity score between the input table and the historical tables. Based on the statistics and column similarity, the computing platform may perform database file management, such as storing records, updating records, identifying data anomalies, sending alerts related to identified data anomalies, moving records, tagging records, and the like. The computing platform may send alerts related to identified data anomalies to remote devices.

Abstract: A computing platform may perform computer database file management by implementing statistics maintenance and column similarity. The computing platform may receive an input table and determine a data type for the received input table. The computing platform may determine statistics relevant to the input table, and statistics relevant to historical tables of the data type. Statistics may include overlap, distribution, mean, standard deviation, percentile, median, and the like. Based on the determined statistics, the computing platform may determine a similarity score between the input table and the historical tables. Based on the statistics and column similarity, the computing platform may perform database file management, such as storing records, updating records, identifying data anomalies, sending alerts related to identified data anomalies, moving records, tagging records, and the like. The computing platform may send alerts related to identified data anomalies to remote devices.