Abstract: A load balancing algorithm and cluster configuration details are stored at each of a set of namespace nodes of a cluster hosting a deduplicated file system. Upon a client connecting to a namespace node, a server-initiated communication channel is established between the namespace node and the client over which updates to the load balancing algorithm, cluster configuration details, or both are sent. The load balancing algorithm and cluster configuration details are sent to the client, thereby allowing the client to determine according to the load balancing algorithm and cluster configuration details, which particular namespace node should handle a particular file system operation. Thereafter, each connected client is immediately notified of changes to the cluster such as node or service additions or deletions or software upgrades to the cluster so that each client can use the updated information to conduct load balancing.

Abstract: A method includes receiving, from a client and by a node, a commit request associated with a first datum, sending, in response to the commit request, a second commit request to a second node, wherein the second node comprises the first datum, after sending the second commit request, receiving a first cookie from the second node, making a first determination that the first cookie does not match a second cookie stored in a node cookie hash table, wherein the second cookie is associated with the second node, in response to the first determination, updating a master verifier cookie on the node to obtain an updated master verifier cookie, and sending the updated master verifier cookie to the client.

Abstract: A method and system for intelligent support bundle collection. A support bundle may refer to a set of log files pertinent to components of a computing system, which may generally be created when issues or problems plaguing the computing system need to be triaged by technical support teams. Further, at least presently and for any complex computing system, a support bundle may include a plethora of log files that are not all necessary for assessing and/or resolving the aforementioned issues or problems. Accordingly, to reduce the set of log files, as well as minimize the storage space, processing time, and network bandwidth associated with handling the log files, the disclosed method and system propose intelligently selecting a subset of the log files relevant to a given user-defined issue or problem. Selection of the subset of log files may employ natural language processing (NLP) based machine learning, as well as runtime rules to collect dynamic, problem-specific log files.

Abstract: A method includes receiving, from a client and by a node, a commit request associated with a first datum, sending, in response to the commit request, a second commit request to a second node, wherein the second node comprises the first datum, after sending the second commit request, receiving a first cookie from the second node, making a first determination that the first cookie does not match a second cookie stored in a node cookie hash table, wherein the second cookie is associated with the second node, in response to the first determination, updating a master verifier cookie on the node to obtain an updated master verifier cookie, and sending the updated master verifier cookie to the client.