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.

Transcript Highlights

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.

Partnership with Network to Code

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

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.

Looking Ahead

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

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Princeton University, one of the world’s most respected academic institutions, faced a major challenge – upgrading the network infrastructure across 26 campus buildings to meet the demands of its vibrant research and student communities. With each building upgrade demanding over 40 hours of network engineering manual effort, the University’s Network team faced a massive 1,000-hour project. Potentially compromising ongoing maintenance and network operations. To tackle this Princeton partnered with Network to Code to fully
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automate Network deployment and provisioning reducing manual work with a streamlined automated workflow that began in service now. Through integrated tools and workflows, Princeton completed its entire network upgrade with under 40 hours of network engineering time slashing labor by 95%. This freed up valuable time for the network team to focus on additional strategic priorities. Looking ahead Princeton continues to expand its automation efforts with enhanced monitoring and Telemetry, driving greater
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network efficiency and reliability across the campus. Network to Code empowering institutions like Princeton University with cutting-edge automation for a connected future. Discover how Princeton transformed its network with our expertise and see how we can support your journey. Visit our website to explore the full case study
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