OpenSearch Query, Search & Aggregation Guideline: How to Query Properly & Effectively
Principal engineering guideline on writing fast, memory-safe OpenSearch queries: Query vs Filter Context (Roaring Bitmap caches), Point-in-Time (PIT) + search_after deep pagination, high-cardinality aggregations, and Hybrid BM25 + k-NN Vector Search.
What Actually Breaks When Your App Gets Popular (System Design Evolution)
Comprehensive breakdown of failure modes when applications scale from a single server to millions of users — session traps, connection pool exhaustion, replication lag, cache stampede, synchronous HTTP bottlenecks, AI vector scaling, and the architectural judgment rubric based on JavaScript Mastery fundamentals.
