The deployment models for UiPath products refer to the different ways of installing, configuring, and running the UiPath components on various IT environments. The main difference between the deployment models is how the product is managed from an IT infrastructure point of view, such as the hardware, software, network, and security requirements, the scalability and availability options, the backup and recovery strategies, and the maintenance and support procedures. UiPath offers several deployment models to suit different customer needs and preferences, such as:
Standalone deployment: This is the simplest and most common deployment model, where each UiPath component is installed on a single machine or server, and communicates directly with other components without any intermediaries. This model is suitable for small-scale automation scenarios, where the number of robots, processes, and users is low, and the IT infrastructure is simple and stable. However, this model has some limitations in terms of performance, reliability, security, and flexibility, as it depends on the availability and capacity of the single machine or server hosting the component.
High-availability deployment: This is a more advanced and robust deployment model, where each UiPath component is installed on multiple machines or servers, and communicates with other components through a load balancer or a cluster manager. This model is suitable for large-scale automation scenarios, where the number of robots, processes, and users is high, and the IT infrastructure is complex and dynamic. This model offers several benefits in terms of performance, reliability, security, and flexibility, as it allows for load balancing, failover, scaling, and redundancy of the components.
Cloud deployment: This is a modern and flexible deployment model, where some or all of the UiPath components are hosted on a cloud platform, such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform, and communicate with other components through the internet. This model is suitable for hybrid or distributed automation scenarios, where the number of robots, processes, and users is variable, and the IT infrastructure is elastic and scalable. This model offers several advantages in terms of cost, convenience, accessibility, and innovation, as it reduces the need for hardware, software, network, and security maintenance, and enables faster and easier deployment, configuration, and updates of the components.
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