2024-06-05
MongoDB Optimization: Indexes & Schema Design
Techniques for optimizing MongoDB performance for read-heavy applications, including TTL indexes, compound indexes, and efficient schema modeling.
MongoDBDatabasePerformanceBackend
Read Post Thoughts on scalable systems, backend architecture, and production engineering.
Techniques for optimizing MongoDB performance for read-heavy applications, including TTL indexes, compound indexes, and efficient schema modeling.
How I designed a robust fallback system using the Gemini API when semantic search fails to yield high-confidence matches.
How I achieved sub-50ms latency for nearest-neighbor semantic search across thousands of mathematical documents using Pinecone vector database.
A deep dive into Protocol Buffers, multiplexing, and why gRPC dramatically improved our internal inter-service latency.
How I optimized an Express.js backend using Redis caching, worker threads, and PM2 cluster mode to handle massive traffic spikes.