Various systems and methods are provided in which a replication process is initiated between a primary site and a recovery site, each having plurality of gateway appliances. Replication loads are evaluated for each given gateway appliance of the plurality of gateway appliances. If a determination is made that at least one gateway appliance of the plurality of gateway appliances is not overloaded, the plurality of gateway appliances are sorted based on replication loads respectively associated with each gateway appliance, and a determination is made as to whether a relative difference in replication loads between a gateway appliance having a highest replication load and a gateway appliance having a lowest replication load exceeds a difference threshold to determine whether the replication workloads between the gateway appliances should be rebalanced.

A method for performing a fault tolerant automated sequence of computer implemented tasks including, presenting for selection by a user a plurality of pre-programmed elements, each pre-programmed element being independently executable relative each other pre-programmed element, receiving from the user a selection of one or more of the pre-programmed elements and a sequence for performing each pre-programmed element to form an exemplary routine, creating an instance of the exemplary routine, the instance of the exemplary routine including an instance of each of the selected pre-programmed elements arranged for performance in accordance with the sequence and configured to perform tasks defined by the pre-programmed elements and the sequence, initiating implementation of the instance of the exemplary routine by initiating performance of the instances of the pre-programmed elements in accordance with the sequence, and executing each instance of the pre-programmed elements according to the sequence.

A system and methods for migrating applications to a cloud-computing environment. In some examples, the method includes determining an application configuration for an application executed in a storage system generating, for one or more volumes associated with the application, one or more volume tags indicating the application configuration; replicating the one or more volumes to a cloud-computing environment, and generating, in the cloud-computing environment, based on the one or more volume tags, the application configuration for the application.

A calibration method includes transmitting first data comprising a calibration data and a first checksum to the storage device according to each of a plurality of training parameter sets; recording a plurality of error indicators respectively which are corresponding to the plurality of training parameter sets and from the storage device; and identifying one of the plurality of training parameter sets as a predetermined parameter set according to the plurality of error indicators respectively corresponding to the plurality of training parameter sets; wherein each error indicator indicates whether transmitting the first data according to the corresponded training parameter set is successful.

A first node comprises a web server with a network interface configured to connect the web server to a plurality of second nodes of a cloud infrastructure. The first node has physical storage, connected to the web server, the physical storage comprising at least a master database of a multi-master database system of the cloud computing infrastructure, the master database configured to store atomic code units and data redundantly as part of the multi-master database system, the atomic code units defining the dynamic web application. The web server receives requests comprising input data and identifiers of individual ones of the atomic code units, at least some of the requests originating from client devices using the dynamic web application. The web server executes, in response to requests, individual ones of the atomic code units in dependence on state of the master database, such that the dynamic web application is executed.

A data management system having a storage appliance configured to store a snapshot of a virtual machine; and one or more processors in communication with the storage appliance. The one or more processors are configured to perform operations including: identifying a plurality of shards of the virtual machine; requesting a shard snapshot of each of the plurality of shards; receiving the shard snapshots asynchronously; ordering the received shard snapshots sequentially into a results queue; and storing a single snapshot of the virtual machine based on the ordered shard snapshots. The operations may further include maintaining a flow control queue that limits a number of the requested shard snapshots.

A method for configuring replicas in a distributed computing system is disclosed. In one example embodiment, a plurality of replicas with associated bootstrap modules may be created. The same bootstrap module code may be used for each replica, thereby simplifying configuration. Using the bootstrap module, the replicas may automatically configure themselves and self-assign a role for a set of predetermined roles such as master and worker. The bootstrap module may check a predetermined location such as a shared network folder for earlier registration entries and then self-select based on the remaining available roles. The bootstrap module may also store its own registration entry to inform subsequent replicas of the role and network address for the current replica so that they may self-configure correctly.

A computer-implemented runtime system is operable of providing a continuous product execution runtime environment for an application via a healthcare network. The system includes a focus machine and an action plan repository, to provide an autonomous runtime environment by at least: monitoring a running use case of at least one application on at least one device; taking over responsibility of a running use case of the at least one application, upon an error state being detected for the monitored running use case; analyzing the error state of the running use case detected; obtaining at least one suitable substitution action out of a plurality of actions deposited in the action plan repository, based on the error state of the running use case analyzed; and terminating and completing at least a part of the running use case, by employing the at least one substitution actions obtained, on the at least one application.

A method of migrating applications to a cloud-computing environment is disclosed. The method includes obtaining application configuration requirements for execution of an application, updating, by a storage system that stores data for the application, one or more volumes that store data for the application with the application configuration requirements for the application, and migrating the one or more volumes to a cloud-computing environment.

A method for performing a fault tolerant automated sequence of computer implemented tasks including, presenting for selection by a user a plurality of pre-programmed elements, each pre-programmed element being independently executable relative each other pre-programmed element, receiving from the user a selection of one or more of the pre-programmed elements and a sequence for performing each pre-programmed element to form an exemplary routine, creating an instance of the exemplary routine, the instance of the exemplary routine including an instance of each of the selected pre-programmed elements arranged for performance in accordance with the sequence and configured to perform tasks defined by the pre-programmed elements and the sequence, initiating implementation of the instance of the exemplary routine by initiating performance of the instances of the pre-programmed elements in accordance with the sequence, and executing each instance of the pre-programmed elements according to the sequence.