How to design a tagging search solution and not make mistakes
summary
A practical guide to designing a tagging-based search system, covering common pitfalls and decision points when building tag search rather than reusing existing solutions. It discusses whether to implement a custom tagging search, what mistakes to avoid, and how to architect a reliable tagging search solution for high-load environments.
AI-written summary · about
chapters (7)
- 0:00Tagging and search introduction
- 3:37Tagging maturity models
- 9:04Data model patterns
- 15:06Real project issues
- 21:43Solution and optimization
- 24:14Plans and conclusions
- 31:37Q&A
related talks
51mBuilding a Search Engine: From Thorns to Stars
34mSearch Engine in production with Rust
24mSearch From the Ground Up
37mBuilding a E commerce search engine: Challenges, insights and approaches
20mChallenges in Building RAG Systems (and Solutions Using OpenSearch)
53mDesigning Big Data Solutions on Microsoft Azure
15mDealing with Bad Architecture Decisions: A Case Study
51mThe Lost Art of Database Design
