What is Cloud RPA — AA 360 Cloud?

Cloud automation refers to business process automation using cloud-native, web-based, Robotic Process Automation and Artificial Intelligence (RPA+AI) software.

In a word, it means RPA-as-a-service: automation software that’s simple to access and use for anyone with an internet connection, on any device, that executes and orchestrates processes and workflows across the organization.

Cloud-based automation is also designed for automation self-service, with intuitive drag-and-drop actions and visual flow charts empowering non-technical teams to automate on their own. Cloud RPA enables users to automate any process via a web-based interface accessed in their browser.

What is RPA As A Service?

RPA with more flexibility than ever before. Instant automation with limitless scale.

RPA as a service is business process automation software available via the web. That means no downloads, nothing to install, and no software updates; just an internet connection, and you’re on your way.

How does Cloud RPA work?

In more specific terms, cloud-native architecture is built and delivered using technologies and methods that are optimal for cloud environments. For example, cloud-native applications are packaged in complete units of functionality (containers for these functions have special names, such as Kubernetes), and run via microservices (collections of loosely coupled, independent services), on elastic cloud infrastructure.

In short, cloud-native RPA is much more than virtualizing an on-premises automation application and delivering it via the cloud. A real cloud-native RPA platform means engineering the design, implementation, deployment, and operation of the application as cloud technology.

Technologies Used

1. Terraform: To manage the entire lifecycle of infrastructure using infrastructure as code.
2. Kubernates: To manage and launch the containers.
3. Helm: Helm helps you manage Kubernetes applications — Helm Charts helps you define, install, and upgrade even the most complex Kubernetes application.
4. Logging & Monitoring: Kibana , OpsGenie
5. Jenkins: Jenkins is used to building and test your software projects
6. Public Cloud Providers: AWS, GCP (Google Cloud)

How secure is Cloud RPA?

While RPA security spans a wide range of topics, RPA in the cloud can provide superior security and privacy than on-premises, across the spectrum of requirement

• Data encryption: Cloud RPA must ensure data is always protected, in motion and at rest, and provide for stringent authentication protocols for compliance
• Control with privacy: Granular role-based access control is essential to set restrictions and segregation of data, while providing full audit trails on every action with strict privacy compliance.
• Secure cloud services: From hosting to data protection to segregating tenants, cloud automation should be built with DevSecOps and adhere to best-in-class security practices.

What Happens if the Control Room gets upgraded?

Author: Neha Sonone, Software Engineer Trainee at iQ Innovation Hub

I am currently working as a Software Engineer Trainee, working in the domain of Cloud & DevOps in AWS, as well as RPA — worked on Automation Anywhere Cloud Architecture, having an interest towards the emerging technologies in Cloud & DevOps , Ansible. other than technical aspects I have also been a blogger I write blogs on Tech topics like AI, cloud, Big Data, in my past time I love listening to music.

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