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Mongodb

Mastering Background Jobs in Node.js: A Deep Dive into Bull, Agenda, and Bee-Queue

·1539 words·8 mins
Backend Architecture Node.js Redis Mongodb Bull Agenda Performance System Design
In the world of high-performance Node.js applications, the Event Loop is king. But it is also a jealous king—it demands to be free. If you block the Event Loop with heavy computational tasks, image processing, or third-party API calls during an HTTP request, your application’s throughput will plummet.

Mastering Database Design in Node.js: The Ultimate SQL vs NoSQL Strategy Guide

·2115 words·10 mins
Node Architecture Database Design Backend Development Node-Js PostgreSQL Mongodb System Design Prisma Mongoose Performance
Introduction # If you are building a backend in 2025, the database landscape has evolved significantly. The old “MongoDB is for startups, SQL is for enterprise” dichotomy is dead. Today, with the rise of Serverless SQL (like Neon or Supabase), the maturity of JSON capabilities in PostgreSQL, and the strict schema validation options in modern NoSQL, the line has blurred.

Mastering MongoDB in Go: Patterns, Performance, and Best Practices

·1857 words·9 mins
Web Development Database Go Basics Backend Engineering Mongodb Golang Nosql Database-Design Performance Go-Driver
Introduction # In the ecosystem of modern backend development, the combination of Go (Golang) and MongoDB remains a powerhouse. Go’s concurrency model pairs exceptionally well with MongoDB’s asynchronous, document-oriented nature. As we settle into 2025, the official MongoDB Go Driver has matured significantly, offering robust support for generic types, improved connection pooling, and seamless BSON serialization.

Mastering Database Connection Pooling in Node.js: MySQL, PostgreSQL, and MongoDB

·1636 words·8 mins
Backend Engineering Performance Database Node-Js Mysql PostgreSQL Mongodb Performance Scalability Architecture
Introduction # If you are building a high-throughput Node.js application in 2025, handling database connections inefficiently is the fastest way to kill your performance. Whether you are dealing with a monolithic REST API or a distributed microservice architecture, the database is almost always the bottleneck.