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📰 Dev.to · Paradane

10 articles · Updated every 3 hours · View all reads

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When to Use Microservices (And When to Stick With a Monolith)
Dev.to · Paradane 🏗️ Systems Design & Architecture ⚡ AI Lesson 2mo ago
When to Use Microservices (And When to Stick With a Monolith)
A practical decision framework for choosing between monoliths and microservices, based on real client projects at Paradane.
Database Decisions: Choosing Between PostgreSQL, MongoDB, and MySQL
Dev.to · Paradane 🔧 Backend Engineering ⚡ AI Lesson 2mo ago
Database Decisions: Choosing Between PostgreSQL, MongoDB, and MySQL
A practical framework for choosing PostgreSQL, MongoDB, or MySQL based on product shape, data integrity, reporting needs, and team context.
Building a Production-Ready API in Node.js: A Complete Walkthrough
Dev.to · Paradane 🔧 Backend Engineering ⚡ AI Lesson 2mo ago
Building a Production-Ready API in Node.js: A Complete Walkthrough
A complete walkthrough for building a production-ready Node.js REST API — validation, auth, rate limiting, logging, error handling, Docker deployment, and the c
React Server Components in Production: What We Learned After Migrating a Client Dashboard
Dev.to · Paradane 🌐 Frontend Engineering ⚡ AI Lesson 2mo ago
React Server Components in Production: What We Learned After Migrating a Client Dashboard
Real-world lessons from migrating a production analytics dashboard to Next.js 14 with React Server Components — what worked, what broke, and the actual performa
Debugging a Production Memory Leak: A Step-by-Step Walkthrough
Dev.to · Paradane 📣 Digital Marketing & Growth ⚡ AI Lesson 2mo ago
Debugging a Production Memory Leak: A Step-by-Step Walkthrough
The 3 AM Alert It started with a PagerDuty alert at 3 AM. Our client's Node.js API server...
How We Reduced API Response Time by 80% for a Client — A Real-World Optimization Walkthrough
Dev.to · Paradane 🔧 Backend Engineering ⚡ AI Lesson 2mo ago
How We Reduced API Response Time by 80% for a Client — A Real-World Optimization Walkthrough
Real-world case study: how we diagnosed and fixed a slow e-commerce API, cutting response times from 2.3s to 380ms using query optimization, caching, and async