Stop Guessing Connection Pool Size: Fix DB Bottlenecks
Learn why oversized database connection pools ruin performance, and how to calculate the optimal pool size for high-throughput microservices.
#backend
← The IndexLearn why oversized database connection pools ruin performance, and how to calculate the optimal pool size for high-throughput microservices.
Learn how to prevent cache stampedes and the thundering herd problem using mutex locks, stale-while-revalidate, and XFetch to safeguard your database.
Learn why OFFSET pagination causes slow database queries and data drift, and how to implement fast, scalable cursor-based pagination in your REST APIs.
Learn how N+1 queries ruin database performance and how to solve them effectively using JOINs, prefetching, and DataLoader in TypeScript and SQL.
Stop wasting server resources with HTTP polling. Learn how Server-Sent Events (SSE) deliver real-time data efficiently with clean code examples.
Learn how naive retries cause retry storms and how combining exponential backoff with jitter protects microservices from cascading failures.
Learn how the Transactional Outbox Pattern prevents dual-write inconsistencies when publishing events after database transactions in modern web apps.
Directly returning database models in your API responses leads to data leaks and tight coupling. Learn how Data Transfer Objects (DTOs) fix this.
UUIDv4 primary keys cause B-Tree index fragmentation and kill database write performance. Discover why time-sorted UUIDv7 and ULID are better solutions.
Discover why Promise.all can cause cascading failures in JavaScript apps, and learn how to use Promise.allSettled for robust concurrent operations.
Learn why OFFSET pagination hurts database performance at scale, and how cursor pagination speeds up your queries with practical code examples.
Learn how to implement idempotency keys in your backend APIs to safely handle client retries, prevent double charges, and build robust distributed systems.