Disclosed herein are embodiments for providing finite state machine driven workflows. In an embodiment, a workflow template is defined for a type of task. The workflow template may represent a finite state machine. The workflow template may be linked to an external party and an asset type, which may be stored in a workflow database. An asset may be received from the external party including an external party attribute identifying the external party, an asset type attribute, and an owner attribute. The owner attribute may be associated with an application end user. A determination may be made whether the external party attribute and the asset type attribute of the asset match the external party and the asset type linked to the workflow template. If a match is determined, instances of the task and the one or more actions of the workflow template may be created.

Control migration of a state machine using a dependency graph interface by: analyzing a state machine to determine objects and dependencies between the objects; generating a dependency graph that represents the objects and the dependencies between the objects, wherein the objects are represented by selectable icons; displaying the dependency graph on a display device; in response to a selection of a particular selectable icon, providing a migration option for an object represented by the selectable icon, wherein the migration option includes at least a selection between either a deep copy or a shallow copy for the object represented by the selectable icon; accepting and storing a selection of the migration option for the object represented by the particular selectable icon; and migrating the state machine to a target environment based at least in part on performing the migration option for the object represented by the particular selectable icon.

A database system translates a received set of workflow actions into a graph of nodes. The graph of nodes includes a node set corresponding to each node type of the set of workflow actions. Each node set may be re-executable for each instance of an action type of the set of workflow actions. Upon completion of an action, the graph of nodes is executed. Execution of the graph of nodes includes executing processor executable instructions corresponding to a subset of the set of workflow actions. The subset may be determined based on the completed action. The completed action may be determined based on a sequence tracking parameter.

In non-limiting examples of the present disclosure, systems, methods and devices for assisting with cross-platform copy and paste operations are provided. A first and second computing device may be connected. When a copy command is received in relation to an object, the object may be copied to the copying device's clipboard. Metadata describing the object may be sent to the other device. A paste command may be received by the pasting device and that command may be relayed to the device where the copy command was received. The object may be sent from the copying device to the pasting device and injected/pasted directly into the construct where the paste command was received. The object may be translated into a compatible format prior to its injection/pasting.

Described embodiments provide systems and methods for identifying a context of an endpoint accessing a plurality of microservices is provided. A device intermediary to a plurality of endpoints and a plurality of microservices can receive a plurality of calls to one or more of the plurality of microservices originating from the plurality of endpoints. The device can identify a context for each of the endpoints. The context can include one of a type of device or a type of application. The device can identify, for each unique context, one or more microservices of the accessed by the plurality of endpoints having that unique context. A service graph can be generated to identify the one or more microservices of the plurality of microservices accessed by the plurality of endpoints having that at least one unique context.

A computer's processes and/or threads generate and store in memory, data to reimplement or reverse a transaction on a database, so that the database can be recovered. This data is written to persistent memory storage (persisted) by another process, for which the processes and/or threads may wait. This wait includes at least a sleep phase, and additionally a spin phase which is entered if after awakening from sleep and checking (on-awakening check), the data to be persisted is found to not have been persisted. To sleep in the sleep phase, each process/thread specifies a sleep duration determined based at least partially on previous results of on-awakening checks. The previous results in which to-be-persisted data was found to be not persisted are indications the sleeps were insufficient, and these indications are counted and used to determine the sleep duration. Repeated determination of sleep duration makes the sleep phase adaptive.

Computing platforms are implemented using server systems. A computing platform is configurable to cause processing of a script object generated based on an input from a user, the script object including user code written in a custom scripting language. The computing platform is also configurable to cause the generating of an executable object based on the script object. The computing platform being configurable to cause executing the executable object against an interface layer associated with the computing platform, the interface layer being configured to provide an interface to an application account associated with an application implemented within the computing platform. The computing platform being configurable to cause generating at least one computing platform object based, at least in part, on the executing of the executable object at the interface layer, the at least one computing platform object being a data object having a format native to the computing platform.

Disclosed herein are embodiments for providing finite state machine driven workflows. In an embodiment, a workflow template is defined for a type of task. The workflow template may represent a finite state machine. The workflow template may be linked to an external party and an asset type, which may be stored in a workflow database. An asset may be received from the external party including an external party attribute identifying the external party, an asset type attribute, and an owner attribute. The owner attribute may be associated with an application end user. A determination may be made whether the external party attribute and the asset type attribute of the asset match the external party and the asset type linked to the workflow template. If a match is determined, instances of the task and the one or more actions of the workflow template may be created.

Computing platforms are implemented using server systems. A computing platform is configurable to cause processing of a script object generated based on an input from a user, the script object including user code written in a custom scripting language. The computing platform is also configurable to cause the generating of an executable object based on the script object. The computing platform being configurable to cause executing the executable object against an interface layer associated with the computing platform, the interface layer being configured to provide an interface to an application account associated with an application implemented within the computing platform. The computing platform being configurable to cause generating at least one computing platform object based, at least in part, on the executing of the executable object at the interface layer, the at least one computing platform object being a data object having a format native to the computing platform,

A node in a blockchain network receives service data generated in a specified time period, where the service data comprises label information used to represent a processing priority of the service data. The node determines, when a new block is generated, a throughput that corresponds to the label information based on a predetermined mapping relationship between label information and a throughput. The node obtains service data that satisfies the throughput and that comprises the label information from a data processing set based on the throughput, where the service data is stored in the data processing set. The service data is stored in the new block.