Netapp, Inc.

International Business Machines Corporation

Saeed Ghanbari

Deepak Raghu Kenchammana-Hosekote

Barry Patrick Benight

Shiva Chaitanya

David Slik

David Anthony Slik

Prithviraj Sen

Frederick Ralph Reiss

A deduplication service can be provided to a storage domain from a services framework that expands and contracts to both meet service demand and to conform to resource management of a compute domain. The deduplication service maintains a fingerprint database and reference count data in compute domain resources, but persists these into the storage domain for use in the case of a failure or interruption of the deduplication service in the compute domain. The deduplication service responds to service requests from the storage domain with indications of paths in a user namespace and whether or not a piece of data had a fingerprint match in the fingerprint database. The indication of a match guides the storage domain to either store the piece of data into the storage backend or to reference another piece of data. The deduplication service uses the fingerprints to define paths for corresponding pieces of data.

Elastic, ephemeral in-line deduplication service

A data management services architecture includes architectural components that run in both a storage and compute domains. The architectural components redirect storage requests from the storage domain to the compute domain, manage resources allocated from the compute domain, ensure compliance with a policy that governs resource consumption, deploy program code for data management services, dispatch service requests to deployed services, and monitor deployed services. The architectural components also include a service map to locate program code for data management services, and service instance information for monitoring deployed services and dispatching requests to deployed services. Since deployed services can be stateless or stateful, the services architecture also includes state data for the stateful services, with supporting resources that can expand or contract based on policy and/or service demand. The architectural components also include containers for the deployed services.

Extensible and elastic data management services engine external to a storage domain

In a method for maximizing information content of logs, a log message from an executing software program is received. The log message includes a timestamp, a source code location ID, a session ID, and a log message text. The timestamp, the source code location ID, and the session ID of the log message are stored in a lossless buffer. A hash function value of the session ID is determined. It is determined that the hash function value of the session ID is less than a hash value threshold. The log message text is stored in a session buffer in response to determining that the hash function value of the session ID is less than the hash value threshold, wherein the session buffer contains log message texts of log messages with corresponding hash function values less than the hash value threshold.

Maximizing the information content of system logs

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New Haven, CT, United States of America

Saeed Ghanbari