Day 55: Building Multi-Dimensional Search - Faceted Search Capabilities
254-Day Hands-On System Design Series | Week 8: Distributed Log Search
Today's Mission: Transform Your Search Into a Power Tool
Ever wondered how Amazon lets you filter products by brand, price range, customer rating, and shipping speed all at once? Today we're bringing that same multi-dimensional filtering power to your log processing system. By the end of this lesson, you'll have a faceted search engine that can simultaneously filter logs by service, severity level, time range, and custom metadata - just like the search systems powering major platforms.
🎯 What We're Building Today
High-Level Agenda:
✅ Multi-dimensional log filtering system with 5+ facet types
✅ Dynamic facet generation from log metadata with real-time counting
✅ Interactive search interface with Google Cloud Skills Boost styling
✅ Performance-optimized indexes achieving sub-100ms response times
✅ Production-ready architecture handling 1000+ logs/second
This builds directly on Day 54's SQL-like query parser, adding the visual and interactive layer that makes complex searches intuitive for operations teams.
Why Faceted Search Matters in Production
When your system generates millions of logs per hour, finding relevant information becomes like searching for a needle in a haystack. Traditional search requires knowing exactly what you're looking for. Faceted search flips this - it shows you what's available to explore.