RPA bots support a variety of flexible deployment options both locally and in the cloud

Relatively speaking, the local deployment of RPA is relatively well understood, i.e., RPA's execution bot Bot and RPA's monitoring center system are deployed in the enterprise's internal network, running on servers or PC that the enterprise itself provides and is responsible for maintaining. RPA's cloud deployment model is a bit more complex, and is different from the familiar IaaS (Infrastructure as a Service), PaaS (Platform as a Service), SaaS (Software as a Service) and BaaS (Business as a Service) cloud models, and can even use the new names RPA as a Service (RPAaaS) or Robot As a Service (RaaS) are new terms to redefine the RPA cloud service model.

Public clouds are now often available for SMBs, as is RPAaaS. When an organization cannot afford the purchase and O&M costs of RPA, automation can be achieved by using a rental model of cloud services. there are two ways of RPAaaS.

First, bots are deployed in the public cloud to serve the enterprise. Since RPA bots need to access the enterprise's existing IT systems when replacing employees, this model first needs to solve the problem of how to access the enterprise's internal systems from the outside. Of course VPN (Virtual Private Network) is an option, but due to security issues, many systems still cannot be accessed through VPN, but must be accessed by remote desktop, such as Citrix. the good thing is that some mainstream leading RPA tools have already implemented Citrix to automate the process. In this way, enterprises do not need to buy their own RPA software to implement RPA projects, and can completely rent the cloud RPA robot way to serve themselves. This is actually a variation of a traditional business outsourcing service (BPO).

Second, deploy the management and control of the bots on the public cloud to serve the enterprise. Since enterprises are reluctant to have bots deployed on the public cloud due to data security and access security concerns, they can have the RPA's running bots deployed on on-premises servers and the RPA's monitoring center deployed on the public cloud. Having the bots run on-premises ensures data security, and having the monitoring center run on the public cloud provides the ease of managing, running, monitoring, and maintaining the RPA.

In the second approach, companies don't add any additional workload beyond the need to purchase robot software, because the robots run automatically on-premises and their control and management are provided by the cloud.

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