Abstract: Techniques for backing up application-consistent data using asynchronous replication are disclosed. In one particular embodiment, the techniques may be realized as a method for backing up application-consistent data comprising receiving a backup request to backup application data and storing the application data in a volume of storage space. The method may also comprise taking a snapshot of the application data stored in the volume of storage space and quiescing, via a quiescing module comprising at least one computer processor, the snapshot of the application data stored in the volume of storage space. The method further comprise transmitting application-consistent data, wherein the application-consistent data may comprise the application data stored in the volume of storage space and the quiesced snapshot of the application data stored in the volume of storage space.

Abstract: A computer-implemented method for facilitating long-distance live migrations of virtual machines may include: 1) identifying a request for a live migration of a virtual machine from a primary site to a secondary site, the primary site including a primary storage device used for storage by the virtual machine being configured for active-passive replication to a secondary storage device at the secondary site, 2) initiating a failover of the active-passive replication from the primary storage device to the secondary storage device in response to the request, 3) intercepting each write attempt made by the virtual machine at the secondary site to the secondary storage device before completion of the failover, 4) buffering each intercepted write attempt, 5) determining that the failover is complete, and 6) applying each buffered write attempt to the secondary storage after determining that the failover is complete. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A method, apparatus and system for improving failover within a high-availability computer system are provided. The method includes obtaining one or more parameters associated with a disaster recovery protocol of at least one resource of any of the first cluster, second cluster and high-availability computer system. The method also includes monitoring one or more states of the parameters. The method further includes detecting, as a function of the parameters and states, one or more anomalies of any of the first cluster, second cluster and high-availability computer system, wherein the anomalies are types that impact the failover. These anomalies may include anomalies associated with the disaster-recovery protocols within the first and/or second clusters (“intra-cluster anomalies”) and/or anomalies among the first and second clusters (“inter-cluster anomalies”). The method further includes generating an alert in response to detecting one or more of the anomalies.

Abstract: A method, apparatus and system for improving failover within a high-availability computer system are provided. The method includes obtaining one or more parameters associated with at least one resource of any of the first cluster, second cluster and high-availability computer system. The method also includes detecting, as a function of the parameters, one or more anomalies of any of the first cluster, second cluster and high-availability computer system, wherein the at least one anomaly is a type that impacts the failover. These anomalies may include anomalies within the first and/or second clusters (“intra-cluster anomalies”) and/or anomalies among the first and second clusters (“inter-cluster anomalies”). The method further includes generating an alert in response to detecting one or more of the anomalies.

Abstract: Replication of application files in a clustered environment may be automated based on the state and/or configuration of the application in the cluster. A clustering engine executing on one or more clustered computing nodes may notify one or more replication agents regarding changes in a clustered application's state and/or configuration. An application's status may include information indicating one or more cluster nodes on which the application is currently executing and also may include information indicating one or more cluster nodes on which the application is configured to execute. Replication agents executing on cluster nodes may, either individually or through collective coordination, modify a replication policy for replicating one or more application files based on the received status information. Subsequently, the replication agents may replicate the application files from one of the clustered computing nodes to one or more other nodes, according to the modified replication policy.