Abstract: A method for managing a file system includes obtaining, by a compression optimizing manager, a compression algorithm selection request for the file system, determining a set of selection inputs based on a set of file system parameters of the file system, applying a compression selection model to the set of selection inputs to obtain a compression algorithm selection, and initiating a file system compression implementation of the file system using the compression algorithm selection.

Abstract: Techniques are provided for domain name system multipathing distributed applications. In an example, a client computer queries a multipath-aware domain name system service with a domain name for a plurality of application servers, where there are a plurality of network paths available between the client computer and the application servers. The multipath-aware domain name system service can select a network path to be used, then determine a server that leads to that network path being used (by determining a hash used in network routing for each server of the plurality of servers). The multipath-aware domain name system service can respond to the client computer with an IP address for a selected application server, which results in communications between the client computer and the selected application server occurring over the selected network path.

Abstract: Techniques are provided for artificial intelligence-based storage monitoring. In an example, a system determines structured and unstructured attributes of a folder in a file system and provides them to an trained artificial intelligence model that outputs whether the folder is interesting or not. The folders labelled interesting by the trained artificial intelligence model can be further refined to a subset of folders that are placed in a watch list, and monitored for changes.

Abstract: Techniques are provided for artificial intelligence-based storage monitoring. In an example, a system determines structured and unstructured attributes of a folder in a file system and provides them to an trained artificial intelligence model that outputs whether the folder is interesting or not. The folders labelled interesting by the trained artificial intelligence model can be further refined to a subset of folders that are placed in a watch list, and monitored for changes.

Abstract: Techniques are provided for domain name system multipathing distributed applications. In an example, a client computer queries a multipath-aware domain name system service with a domain name for a plurality of application servers, where there are a plurality of network paths available between the client computer and the application servers. The multipath-aware domain name system service can select a network path to be used, then determine a server that leads to that network path being used (by determining a hash used in network routing for each server of the plurality of servers). The multipath-aware domain name system service can respond to the client computer with an IP address for a selected application server, which results in communications between the client computer and the selected application server occurring over the selected network path.