Day 168: Building IT Asset Inventory from Log Data
Welcome to Week 24, where we’re transforming our distributed log processing system into a powerful IT operations platform. Yesterday, you built automated root cause analysis that identifies incident causes. Today, we’re solving a problem every IT department faces: maintaining accurate, real-time asset inventory without manual spreadsheets.
Think about Spotify’s infrastructure with thousands of servers, load balancers, databases, and network devices. Instead of manually updating asset databases, their systems automatically discover and track every component through log analysis. When a server boots, its logs reveal hardware specs, installed software, and configuration details. This is passive asset discovery—infrastructure that documents itself.
What We’re Building Today
By lesson’s end, you’ll have a production-grade asset tracking system that:
Automatically discovers hardware, software, and network assets from logs
Tracks lifecycle events (provisioning, updates, decommissioning)
Maintains relationships between assets (which apps run on which servers)
Provides real-time inventory through interactive dashboards
Detects configuration drift by comparing current vs. expected state
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