Netapp, Inc.

Onaro, Inc.

Assaf Levy

Raphael Yahalom

Roee Alon

Omri Kessel

Shai Scharf

Michael Yakobi

Vered Rosen

Ofer Nivy

Roy Alon

Gadi Oren

Michael Yaakobi

Systems and methods for analyzing the service and performance levels associated with virtual machines in a storage network environment for compliance with a resource capacity policy are provided. Component configuration and connectivity information from components in the network environment is collected without using host agents on the virtual machines. Access paths defining end-to-end access relationships between an application on a virtual machine and storage data objects associated with the virtual machine in the network environment are derived. Access paths comprise sequences of components configured to enable information flow between an application residing on a virtual machine and a data object on a respective storage device. Access path resource consumption is computed and virtual machines with resource consumptions that violate the resource capacity policy are identified.

Systems and methods for path-based management of virtual servers in storage network environments

Methods and systems for providing a framework for automated storage processes and flexible workflow are disclosed. The framework provides a user workflow design tool to create and/or customize workflow automation processes without needing to write software code. Additionally, the workflow design tool provides a mechanism that allows the workflow to make decisions, such as selecting storage resources.

Framework for automated storage processes and flexible workflow

Methods and systems for collecting, analyzing, and presenting traffic loads in each part of a storage area network are described. These methods and systems account for various resource types, logical access paths, and relationships among different storage environment components. Data traffic flow is managed in terms of resource planning and consumption. The aggregated information is stored, and may be used to estimate future data traffic loads or determine deviations between projected and actual traffic load status from which adjustments may be made to better predict and manage future data traffic load.

Systems and methods for comparative load analysis in storage networks

The systems and methods described herein include processes for efficiently detecting relevant state changes in storage network environments and for resolving the name of hosts in storage networks. A subset of states for each component in the storage network is tracked, state information consisting of the values of the selected states with an associated timestamp and a component identifier (ID) for the storage network components is periodically received, a hash function value of the received state using a pre-selected hash function is computed, the most-recent locally-stored hash function value associated with that component ID is retrieved, and in case the hash function value is different from the most-recently locally-stored value, the new hash function value and the timestamp associated with that new value and component ID are stored and this state information is forwarded to a global analyzer service.

Systems and methods for network change discovery and host name resolution in storage network environments

Systems and processes for determining and validating accessibility and currency, i.e., the actual status, of data replicated in a networked environment are disclosed. According to the disclosed process, a replicated-data policy for replicating data is defined, and access paths between network devices or between applications running on the network devices are monitored, for example, by a replicated-data monitor. Also monitored are the data replication activities in the network. The currency, i.e., timeliness, and accessibility of a replica by a network device is then compared with the requirements in the replicated-data policy and discrepancies with the replicated-data policy are identified, optionally accompanied by a notification.

Methods and systems for validating accessibility and currency of replicated data

Methods and systems for periodically analyzing and correcting storage load imbalances in a storage network environment including virtual machines are described. These methods and systems account for various resource types, logical access paths, and relationships among different storage environment components. Load balancing may be managed in terms of input/output (I/O) traffic and storage utilization. The aggregated information is stored, and may be used to identify and correct load imbalances in a virtual server environment in order to prevent primary congestion and bottlenecks.

System and method for automatic storage load balancing in virtual server environments

A dynamic approach for managing capacity in a storage environments accounting for various resource types, tiers, access paths, relationships among different storage environment components, as well as managing capacity in terms of resource planning and consumption is provided. Resource planning and consumption processes are used to allocate and reserve resources of different types and different tiers to each access path in the network. Capacity information for different resources types and tiers is automatically aggregated from different network components at different stages of a resource management cycle. The aggregated information may be used to estimate future resource needs or determine deviations between projected and actual status from which adjustments may be made to better predict future capacity needs.

Systems and methods for path-based tier-aware dynamic capacity management in storage network environments

Methods and systems for predictive change management in a network are provided. A configuration change can be specified and pre-validated according to the access path policy, before the actual changes are implemented. The conformance of the implemented configuration change with the access path policy is validated after implementation, because of possible consequential effects of the configuration change. If a change in one or more access paths is specified, then associated component events can be simulated before implementation, so that root causes for resulting access path violations can be detected and remedied before the changes are made.

Methods and systems for predictive change management for access paths in networks

A method and system for constructing and analyzing an access path event history in a network is provided. Inconsistencies in the physical and logical access paths when making changes in the network are detected and analyzed. Component events associated with network appliances are recorded and an event sequence is constructed. Root causes for the inconsistencies are identified and the access paths are repaired in conformance with the network access path policy. The method and systems can be applied to networks in general, and more particularly to storage area networks (SAN).

Methods and systems for history analysis for access paths in networks

A method and system for validating logical access path in a storage area network is provided. It supports definition of a SAN access path policy that represent which application to data LUN logical access paths should not exist, which should exist, and what should be the end-to-end attributes of each. It performs the SAN-customized graph-based validation algorithm based on information it collects automatically from devices distributed across the SAN using a variety of non-intrusive mechanisms. It enables to identify violations of actual logical access paths relative to the required access paths as determined by the policy. It enables notification about violations, with all their relevant context information, to the appropriate target recipient using a variety of means.

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Boston, MA, United States of America

Assaf Levy