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Customer Case Study
Back to Customers

RFA automates its network automation needs with Refactr.

industry

IT Service Management

location

Global - US , EMEA , APAC

employees

1-250

solution

Enterprise starter

Use Cases
  • Network Automation
Refactr Impact
  • The number of jobs run
  • The hours of engineering time saved
  • A defined competitive advantage
Isometric graphic of the network automation use case for Refactr's Network automation platform
We were searching for ways to significantly improve efficiency and quality of network maintenance and found a solution in the Refactr platform. It facilitates significant improvements in our services and team efficiency.”

Using Refactr means I spend a lot less time on maintenance tasks and can focus more on helping clients and my teammates.”

The Customer

Since its foundation in 1989, RFA has evolved into an institutional-quality IT, financial cloud and cyber-security services provider to the investment management sector. We take pride in redefining the future of technological support. Through our R&D, DevOps, automation and machine-learning capabilities, RFA provides clients with customized workflow and IT strategies to bring tomorrow’s edge, today. Serving over 800 clients across seven global locations, RFA brings together a seasoned executive team and over 200 highly skilled consultant technicians to provide clients with best-in-class technology solutions and automated business processes, supported by expert staff 24/7/365.

The Challenge

RFA is managing over 8000 client network devices (switches, firewalls, routers) and this number is constantly growing. Manual processes to apply patches and upgrades became an impediment to company growth.

The Results

By using Refactr to automate maintenance for network devices, RFA scaled from 50 devices to 500 devices in one maintenance cycle. RFA has saved over 2500 hours per year, and has increased quality and team efficiency. By automating with Refactr, RFA is more competitive in the marketplace.

All information and persons involved in case study are accurate at the time of publication.

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