InTechSyncbyDr. Fadi Shaar·Oct 2Ten Million Orders and a Fifteen Second Search: Building Search That ScalesHow to move heavy text search out of the relational database with a dedicated search engine, event-driven syncing, and smart quick wins
Raunak Agrawal·Aug 26Database Sharding: Designing Databases That Scale Beyond a Single MachineMost backend engineers start with a simple database architecture:
Ravi Jaisawal·Aug 13What is Scaling StrategyScaling strategy means deciding how your system will continue to perform well when the number of users, requests, or amount of data…
Yashar·Aug 1Fundamentals of Database Engineering Series: Database CursorsImagine you run a query that returns two million rows. Your application doesn’t need all two million at once — maybe it’s exporting a CSV…
Sakthivel Govinthan·Jul 28Scaling PostgreSQL to 10 Million+ Records: How PostgreSQL, TimescaleDB, and PgBouncer Helped Us…As developers, we often hear that once your application reaches millions of records, you’ll eventually need to move away from PostgreSQL.
Pratheek shetty·Jul 19How Databases Scale: A Practical Roadmap from One Server to ShardingMost systems do not fail because the database is inherently weak. They fail because the application keeps asking the database to do more…
Nitesh das·Jun 25Database Replication vs Database Scaling: Understanding the Difference with Real-World ExamplesAs applications grow, one of the biggest challenges engineers face is handling increasing traffic and data volume. Whether you’re building…
Imran Khan·Jun 20Built an AI-Powered WCAG 2.2From a single FastAPI monolith to a horizontally scalable, SQS-backed, Qdrant-powered accessibility engine, here’s the full architecture…
Mohit Salvi·Jun 13Database Sharding Explained: The Secret Behind Scaling Systems to Millions of UsersHow Instagram, Uber, Netflix, and the world’s largest platforms avoid database meltdowns.
