Robotic Process Automation - Agilitics

Robotic Process Automation

Robotic Process Automation

WHAT IS Robotic Process Automation?
RPA as any capability (software and services) that allows you to transact in any IT application or website, typically in the same way a human would, to automate complex, rule-based work.

In other words, RPA software allows developers to tailor complex automations to a company’s processes. When an RPA robot is at work, it performs tasks just like a human would: logging in, operating applications, entering data, performing complex calculations and logging out.

Because RPA is software-based, it can be used to perform various tasks. These include maintenance of records, queries, calculations, and transactions. Additionally, any application commonly used by your company can be operated by RPA. For example, Citrix, .NET, HTML, and Java are all technologies commonly supported by RPA. Compatible systems include Mainframe Terminals, SAP, Oracle, Blackline, and many more. Programmable automation means that RPA can be configured to perform almost any rule-based task.
DevOps enables teams to deliver more secure, higher quality solutions faster and cheaper. Customers expect a dynamic and reliable experience when consuming software and services. Teams must rapidly iterate on software updates, measure the impact of the updates, and respond quickly with new development iterations to address issues or provide more value.

Cloud platforms such as Microsoft Azure have removed traditional bottlenecks and helped commoditize infrastructure. Software reigns in every business as the key differentiator and factor in business outcomes. No organization, developer or IT worker can or should avoid the DevOps movement.
DevOps practitioners usually adopt several of the following practices. These practices involve people to form strategies based on the business scenarios. Tooling can help automate the various practices.

Agile planning and project management techniques: are used to plan and isolate work into sprints, manage team capacity, and help teams quickly adapt to changing business needs.

Version control: usually with Git, enables teams located anywhere in the world to share source and integrate with software development tools to automate the release pipeline.

Continuous Integration: drives the ongoing merging and testing of code, which leads to finding defects early. Other benefits include less time wasted on fighting merge issues and rapid feedback for development teams.

Continuous Delivery: of software solutions to production and testing environments help organizations quickly fix bugs and respond to ever-changing business requirements.

Monitoring of running applications: including production environments for application health as well as customer usage help organizations form a hypothesis and quickly validate or disprove strategies. Rich data is captured and stored in various logging formats.

Infrastructure as Code (IaC) :is a practice which enables the automation and validation of creation and teardown of networks and virtual machines to help with delivering secure, stable application hosting platforms.

Microservices architecture :is leveraged to isolate business use cases into small reusable services. This architecture enables scalability and efficiency.
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