Network to Code Case Study: Princeton University

Video Description

Princeton University partnered with Network to Code to automate its network upgrade across 26 campus buildings, reducing 1,000 hours of manual engineering to just 40 hours of actual work, a 95% reduction in labor. This efficiency gain allowed the university's network team to focus on more strategic priorities. Moving forward, Princeton aims to expand its automation capabilities, enhancing network monitoring and reliability.

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Transcript Highlights

Contents

      Introduction to the Challenge

      Princeton University faced a significant challenge: upgrading network infrastructure across 26 campus buildings, requiring over 1,000 hours of manual engineering work.

      Jump to 00:04

      Partnership with Network to Code

      To address this, Princeton partnered with Network to Code, leveraging automation to streamline the deployment process.

      Jump to 00:30

      Automation in Action

      The collaboration led to the creation of a fully automated system, reducing manual effort by 95% and completing the upgrade in under 40 hours.

      Jump to 00:44

      Looking Ahead

      Moving forward, Princeton plans to expand its automation capabilities, focusing on enhanced monitoring and telemetry to further improve network efficiency and reliability.

      Jump to 01:05

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