Netapp, Inc.

Akhil Kaushik

Anoop Chakkalakkal Vijayan

Sohan Shetty

Krishna Murthy Chandraiah Setty Narasingarayanapeta

Murali Subramanian

Dhruvil Shah

Rakesh Bhargava

Nagaraj S Lalsangi

Ling Zheng

Atul Ramesh Pandit

Ching-Yuk Paul Ngan

Kalaivani Arumugham

Rakesh Bhargava M R

Kazunobu Nishime

Sharad Jain

Onkar Bhat

Omprakash Khandelwal

Arun Kumar Selvam

Divya Kathiresan

Hrishikesh Ashok Tapaswi

Mukul Verma

William R Taylor

Arul Valan

In one embodiment, a method comprises maintaining state information regarding a data synchronous replication status for a storage object of a primary storage cluster and a replicated storage object of a secondary storage cluster. The method includes temporarily disallowing input/output (I/O) operations for the storage object when the storage object of the primary storage cluster has a failure, which causes an internal state as out of sync for the storage object while maintaining an external state as in sync for external entities. The method performs persistent inflight tracking and reconciliation of I/O operations with a first Op log of the primary storage cluster and a second Op log of the secondary storage cluster and performs a resynchronization between the storage object and the replicated storage object based on the persistent inflight tracking and reconciliation of I/O operations.

Usage of Op logs to synchronize across primary and secondary storage clusters of a cross-site distributed storage system and lightweight Op logging

Methods and systems for Vserver migration are provided. One method includes executing a transfer phase of a migrate operation for migrating a Vserver of a source cluster to a destination cluster, using asynchronous baseline transfer to transfer a plurality of source storage volumes configured in a consistency group (CG) for the migrate operation to a plurality of destination storage volumes of a destination cluster; updating a state of each of the plurality of source storage volumes to a sync state indicating completion of a pre-commit phase of the migrate operation to initiate a commit phase of the migrate operation; and generating a snapshot of the plurality of destination storage volumes for performing data integrity checks between data stored at the source cluster and migrated data at destination cluster, after completing a commit phase of the migrate operation.

Methods and systems for storage virtual machine migration between clusters of a networked storage system

In one embodiment, a method comprises maintaining state information regarding a data replication status for a storage object of the storage node of a primary storage cluster with the storage object being replicated to a replicated storage object of a secondary storage cluster, temporarily disallowing input/output (I/O) operations when the storage object has a connection loss or failure. The method further includes initiating a resynchronization between the storage object and the replicated storage object including initiating asynchronous persistent inflight tracking and replay of any missing I/O operations that are missing from one of a first Op log of the primary storage cluster and a second Op log of the secondary storage cluster, and allowing new I/O operations to be handled with the storage object of the primary storage cluster without waiting for completion of the asynchronous persistent inflight tracking and replay at the secondary storage cluster.

Methods and storage nodes to decrease delay in resuming input output (I/O) operations after a non-disruptive event for a storage object of a distributed storage system by utilizing asynchronous inflight replay of the I/O operations

Multi-site distributed storage systems and computer-implemented methods are described for providing an automatic unplanned failover (AUFO) feature to guarantee non-disruptive operations (e.g., operations of business enterprise applications, operations of software application) even in the presence of failures including, but not limited to, network disconnection between multiple data centers and failures of a data center or cluster.

Methods and systems for a non-disruptive automatic unplanned failover from a primary copy of data at a primary storage system to a mirror copy of the data at a cross-site secondary storage system

Multi-site distributed storage systems and computer-implemented methods are described for improving a resumption time of input/output (I/O) operations during an automatic unplanned failover (AUFO). A computer-implemented method includes monitoring, with a second cluster, heartbeat information received at ultra-short time intervals from a first connection of one or more storage objects of the first cluster, determining, with the second cluster, whether the heartbeat information from the first connection is received during an ultra-short time interval, and intelligently routing heartbeat information from the one or more storage objects of the first cluster from the first connection to a second connection when the heartbeat information from the first connection is not received during the ultra-short time interval.

Methods and systems to improve input/output (I/O) resumption time during a non-disruptive automatic unplanned failover from a primary copy of data at a primary storage system to a mirror copy of the data at a cross-site secondary storage system

Multi-site distributed storage systems and computer-implemented methods are described for improving a resumption time of input/output (I/O) operations during an automatic unplanned failover (AUFO). A computer-implemented method includes determining, with a second storage cluster, whether heartbeat information from one or more storage objects of a CG of a first set of CGs is received during a time period, determining an out of sync state for a data replication relationship between the CG of the first set of CGs and a mirrored CG of a second set of CGs when the heartbeat information is not received during the time period and sending a single bulk role change call with a cluster identifier from the second cluster to an external mediator to provide a role change from follower to leader in the second set of CGs.

Methods and systems to improve input/output (I/O) resumption time by batching multiple non-conflicting operations during a non-disruptive automatic unplanned failover from a primary copy of data at a primary storage system to a mirror copy of the data at a cross-site secondary storage system

A storage appliance arranges snapshot data and snapshot metadata into different structures, and arranges the snapshot metadata to facilitate efficient snapshot manipulation, which may be for snapshot management or snapshot restore. The storage appliance receives snapshots according to a forever incremental configuration and arranges snapshot metadata into different types of records. The storage appliance stores these records in key-value stores maintained for each defined data collection (e.g., volume). The storage appliance arranges the snapshot metadata into records for inode information, records for directory information, and records that map source descriptors of data blocks to snapshot file descriptors. The storage appliance uses a locally generated snapshot identifier as a key prefix for the records to conform to a sort constrain of the key-value store, which allows the efficiency of the key-value store to be leveraged. The snapshot metadata arrangement facilitates efficient snapshot restore, file restore, and snapshot reclamation.

Snapshot metadata arrangement for efficient cloud integrated data management

Systems and methods for reducing delays between the time at which a need for a resynchronization of data replication between a volume of a local CG and its peer volume of a remote CG is detected and the time at which the resynchronization is triggered (Reseed Time Period) are provided. According to an example, information indicative of the direction of data replication between the volume and the peer volume is maintained within a cache of a node. Responsive to a disruptive operation (e.g., relocation of the volume from a first node to a second node), the Reseed Time Period is lessened by proactively adding a passive cache entry to a cache within the second node at the time the CG relationship is created when the second node represents an HA partner of the first node and prior to the volume coming online when the second node represents a non-HA partner.

Facilitating immediate performance of volume resynchronization with the use of passive cache entries

Multi-site distributed storage systems and computer-implemented methods are described for improving a resumption time for processing of input/output (I/O) operations during an automatic unplanned failover (AUFO). A first storage cluster includes a first set of consistency groups (CGs) and a second storage cluster includes a second mirrored set of CGs. A computer-implemented method includes prefetching, with a user space of the second storage cluster, configuration information from a replicated database prior to starting the AUFO workflow, sending the configuration information to a kernel space of the second storage cluster on a per CG level while queuing the AUFO workflow, and determining if any in progress workflows conflict with the AUFO workflow.

Methods and systems to improve resumption time of input/output (I/O) operations based on prefetching of configuration data and early abort of conflicting workflows during a non-disruptive automatic unplanned failover from a primary copy of data at a primary storage system to a mirror copy of the data at a cross-site secondary storage system

Systems and methods for re-aligning data replication configuration of a cross-site storage solution after a failover are provided. According to one embodiment, after a failover, the new primary distributed storage system orchestrates flipping of the data replication configuration of a peered consistency group (CG) to reestablish zero RPO and zero RTO protections for the peered CG. The primary causes the secondary distributed storage system to perform an atomic database operation on its remote configuration database to (i) delete an existing source configuration that identifies the secondary as a source of data replication; and (ii) persist a new destination configuration identifying the secondary as a destination of data replication. Then, the primary performs an atomic database operation on its local configuration database to (i) delete an existing destination configuration identifying the primary as the destination; and (ii) persist a new source configuration identifying the distributed storage system as the source.

Re-aligning data replication configuration of primary and secondary data serving entities of a cross-site storage solution after a failover event

Systems and methods for making a cross-site storage solution resilient towards mediator unavailability are provided. According to one embodiment, a stretched storage system is operable to bring a mediator associated with a primary and secondary distributed storage system back into the role of an arbitrator for peered consistency groups (CGs). A mediator reseed status indicator is maintained for multiple CGs to identify when the mediator's status information for a CG is stale. When the mediator becomes available and a local CG is identified as the subject of a mediator reseed process, the master node of the primary that hosts a master copy of a dataset for the local CG performs the reseed process, including: (i) causing relationship status information for the local CG to be updated on the mediator to the current state maintained by the primary; and (ii) resetting the mediator reseed status indicator.

Reseeding a mediator of a cross-site storage solution

Systems and methods are described for efficiently performing various operations at the granularity of a consistency group (CG) within a cross-site storage solution. An example of one of the various operations includes an independent and parallel resynchronization approach that independently brings individual volumes of a CG to a steady state of in-synchronization (InSync), thereby contributing to scalability of CGs by supporting CGs having a large number of member volumes without requiring a change to the resynchronization process. Another example includes preserving dependent write-order consistency when a remote mirror copy goes out-of-synchronization (OOS) for any reason by driving all member volumes OOS responsive to any member volume becoming OOS. Yet another example includes independent creation of snapshots by member volumes to support efficient and on-demand creation by an application of a common snapshots of all or a subset of peered member volumes of a CG with which the application is associated.

Performing various operations at the granularity of a consistency group within a cross-site storage solution

Systems and methods for reducing delays between the time at which a need for a resynchronization of data replication between a volume of a local CG and its peer volume of a remote CG is detected and the time at which the resynchronization is triggered (Reseed Time Period) are provided. According to an example, information indicative of the direction of data replication between the volume and the peer volume is maintained within a cache of a node. Responsive to a disruptive operation (e.g., relocation of the volume from an original node to a new node), the Reseed Time Period is lessened by proactively adding a passive cache entry to a cache within the new node at the time the CG relationship is created when the new node represents an HA partner of the original node and prior to the volume coming online when the new node represents a non-HA partner.

Growing community of inventors

Karnataka, India

Akhil Kaushik