How to diagnose search performance problems in B2B SaaS

This post provides a framework for diagnosing and troubleshooting search performance problems in B2B SaaS environments. It breaks down "fast search" into five dimensions for backend engineers: query latency, indexing latency, network latency, availability and recovery, and performance under load. It details diagnostic steps for each dimension, including the use of Meilisearch's performance trace, task queue inspection, batching strategies, and considerations for regional deployment and scaling. It explicitly mentions geo-replication and sharding as enterprise capabilities for addressing slow search for users in distant regions and slow search at scale, respectively.