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: Systems and methods for fault handling are presented. In one embodiment, a fault handling method includes: performing an information collection process, wherein the information collection process includes collecting information regarding guest operating system files of a virtual machine; performing a selective replication region identification process, wherein the selective replication region identification process includes identifying regions associated with a selective amount of the guest operating system files; and performing a replication process based upon result of the replication region identification process. In one embodiment, the selective replication region identification process includes identifying regions associated with files of interest. The selective replication region identification process can include identifying regions associated with temporary files.

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: Disclosed are a method and system of visualization of changes in entities and their relationships in a virtual data center through a log file. In one embodiment, a machine-readable medium embodying a set of instructions is disclosed. Periodically a snapshot is captured from an application programming interface of a management server. The snapshot comprises of entities and relationships of a virtual datacenter. An information of the snapshot is identified. The identified information is relevant to visualization of a state of the virtual datacenter in a log file. An activity of a change in entities and relationships of the virtual datacenter is tracked. An event is registered with the management server through the application programming interface. Based on the event a corresponding delta operation is created and added to the log file.