Case study
Unified Network Monitoring for a Higher-Ed Campus
How SquareShift unified a global higher-education campus's multi-vendor network monitoring into one automated Elasticsearch and Logstash data-routing platform, replacing scattered, vendor-specific tools with a single, self-classifying pipeline.
Normalize centrally, not at the edge: one hub that classifies and standardizes every vendor's format, then isolates processing so a surge in one system can't take down another's visibility.
Search and Observability Practice Lead, SquareShift
A leading international higher-education institution operating a sprawling, multi-vendor campus network.
Its wireless, switching, firewall, and power hardware each logged activity differently, leaving the team unable to search, correlate, or alert across the estate — so it needed one platform built to absorb that vendor sprawl without specialized expertise.
- Unified visibility — one platform across every vendor's network hardware.
- Zero manual tagging — data classified and routed automatically at ingestion.
- One standardized schema — search, security, and monitoring share one data model.
- Built-in isolation — per-vendor processing so one surge can't take down another.
How SquareShift delivered it.
The challenge
A major international higher-education institution ran a campus network built from disconnected, multi-vendor hardware — wireless infrastructure, switching, perimeter firewalls, and power systems. Each vendor family logged activity in its own format, scattering critical information across isolated, single-vendor tools.
The infrastructure team had no centralized way to search, correlate, or trigger alerts across that data. As the campus network kept expanding, the blind spots — and the risk of data bottlenecks — grew right along with it.
What we delivered
SquareShift designed a centralized, hub-and-spoke data routing architecture that ingests all network traffic through a single entry point. Automated classification matches incoming data against a master directory and routes it to the right destination, with no manual tagging required at the source.
Smart filtering then translates each vendor’s distinct format into one standardized schema, while preserving the original raw message for compliance. Processing is isolated by vendor family, so a sudden surge in one hardware line can’t overwhelm the rest of the estate.
The payoff
The institution now runs one operational data platform in place of a patchwork of vendor-specific tools, with every incoming stream classified and routed automatically. Search, security, and monitoring applications all draw on the same standardized schema instead of three different data shapes.
That resilience was built to be operable, not just powerful: the existing infrastructure team runs the platform day to day without needing specialized data-engineering expertise.
Where this work sits