RPA SOLUTION ARCHITECTURE

1. Applications under Robotic Process Execution:
Robotic Process Automation is ideal for companies and business applications, such as ERP solutions (for example, SAP, Siebel or massive data processing or applications to process records such as Mainframes). Most of these applications are data centric and data intensive with loads and many repetitive activities and configuration processes.
2. RPA tool:
Most of the important capabilities that are expected to be available in any of the tools of Robotic Process Automation are given as follows:
• The ability to automate a variety of application environments such as Web, desktop, Citrix environments
• The ability to develop software robots that understand the recordings, configuring them and improving them with the programming logic (example, loops and conditions)
• Exceptional handling capabilities and also problems related to synchronization
• Be able to build reusable components that can be applied to multiple robots, ensuring modularity and also a faster development and at the same time easier maintenance.
• To be able to build objects, UI, shared application stores and repositories of objects that contain object locators
• The ability to read and write from / to various data sources while these software robots are running.
3. RPA Platform:
Robotic Process Automation in the cloud always acts as a shared repository to guarantee the storage of all software robots and also the RPA-based resources that use the tool. These RPA assets can be shared in the library of software robots (repeatable sub-processes). The programming , distribution and supervision of software execution robots are the characteristics and the capacity provided by a robotic process automation platform. Given all the available information on the assets and executions of RPA.
The RPA platform also offers the ability to develop meaningful analyzes of your software robots and their execution statistics.
4. RPA execution infrastructure:
The execution infrastructure of Robotic Process Automation can sometimes be a bank of parallel physical or virtual laboratory machines, which can be controlled according to usage patterns. You can also extend or reduce the number of machines in parallel to achieve the task of automation, and this can be left unattended as long as you want (since this does not require more interaction or human intervention).
5. Configuration management:
Configuration management is necessary for the control version of the RPA assets, since the underlying application in which the software robots are developed can be constantly updated to present newer versions, such as RPA assets and robots. software. In addition, as you expand the RPA implementation efforts and several members of your team develop RPA assets at the same time, and since there are assets that can be shared and reused between different software robots, it is obvious that you need code management source. to allow the branching and merging of RPA assets.
The following diagram emphasizes the understanding that one has more automation of robotic processes at the next level, providing a better representation of the RPA tool as a layered design and also explains each layer in the Robotic Process Automation tool architecture. The benefits of each of these layers are also taken into account in the diagram, which also accentuates the already existing understanding of the software architecture. It is also about saying that Robotic Process Automation is not just a tool that we are talking about, but it is a combination of several layers of applications and tools that.

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