Implementing Pagination & Performance Optimization in Full-Stack Project

Day 72 of #100DaysOfCode Today I added search and filtering features to my full-stack project Covered: • Search using query parameters • Filtering data dynamically • Backend query optimization • Improved user experience These features are widely used in real-world applications #FullStackDevelopment #ReactJS #NodeJS #MongoDB #LearningInPublic

As a big fan of Laravel Horizon’s clean queue management and beautiful dashboard, I always felt something was missing in the Node.js/TypeScript world. BullMQ is powerful, but relying on third-party dashboards never felt quite right. I also missed Laravel’s effortless driver switching - using "sync" locally and switching to Redis or database for testing/production without rewriting code. So I asked myself: Why not build one? That is how Vasto Queue came to life. 🚀 Introducing Vasto Queue - a modern TypeScript-first job queue runtime for Node.js. Tired of being locked into Redis? Frustrated by trading off performance for isolation? Vasto delivers the best of both: - Three isolation modes per queue: Inline (fastest), Worker Threads, or full OS Processes (maximum isolation) - Pluggable storage backends — switch between Redis, Postgres, MySQL, MongoDB, DynamoDB, local file, or in-memory without touching your job code - Built-in scheduling (delays, cron, intervals) with optional durable persistence - Consistent lifecycle plugins - Auto-scaling supervisor - Beautiful first-party dashboard with native adapters for Express, Hono, Fastify, Elysia, NestJS, and more - giving you that Horizon-like experience out of the box - Fully type-safe and declarative configuration Inspired by BullMQ’s power and Horizon’s delightful DX, but with far more flexibility. Perfect for new projects or modernizing your background jobs. Check it out: Docs: https://lnkd.in/ecGR4h62 GitHub: https://lnkd.in/ebBnRDUz Would love your feedback - especially if you use BullMQ, Bee-Queue, Agenda, or manage your own queues. What is your biggest pain point with background jobs in Node.js? #NodeJS #TypeScript #Backend #JobQueue #OpenSource #Laravel

Understanding Mongoose made my backend development with MongoDB much more structured and efficient. From defining schemas to performing CRUD operations seamlessly — it’s a game changer for Node.js developers. 🚀 Sharing a quick visual guide to help others grasp the core concepts easily. #NodeJS #MongoDB #Mongoose #BackendDevelopment #WebDevelopment

CampusRide Backend Update Worked on the Create Ride API today — and this is where things started feeling real. Users can now: - Post rides - Add details like time, fare, available seats Sounds simple but it was not, I faced multiple issues here : • Preventing duplicate rides • Handling proper validations • Figuring out how to structure the data in MongoDB At one point, Even small logic mistakes were breaking the flow and it took me some time to understand why.  Backend development is less about writing code And more about thinking through edge cases. #NodeJS #MongoDB #APIDevelopment

https://lnkd.in/g-nbqnRz "Created a parking management application with real-time entry tracking and dynamic pricing logic. Tech stack: React (frontend), Node.js & Express (backend), MongoDB (database) Worked on building REST APIs, handling data flow, and structuring a simple end-to-end system. #MERNStack #BackendDevelopment #FrontendDevelopment #RESTAPI #MongoDB #React #NodeJS"

If you're building production Node.js apps and still handling heavy tasks synchronously — email sending, image processing, report generation, webhook retries — you're leaving performance on the table. BullMQ is the tool I wish I'd adopted sooner. Here's why 👇 ⚡ Built on Redis Streams, not the older Redis pub/sub. That means reliability and persistence out of the box. 🔷 First-class TypeScript support. The DX is clean if you're already in a TS codebase. ⏱️ Rate limiting, job prioritization, delayed jobs, repeatable jobs — all built in. No need to hack cron logic into your app. 🏗️ Works beautifully with NestJS through the @nestjs/bullmq package. Decorators like @Processor and @WorkerHost make it feel native. 🎛️ Real concurrency control. You decide how many jobs a worker picks up at once, per queue. 💡 One pattern I keep coming back to: separating your API response from the actual work. User uploads a file? Respond with 202 Accepted, push the processing into a queue, and let the worker handle it. Your API stays fast. Your users stay happy. 📚 If you haven't explored BullMQ yet, the docs are solid and the learning curve is gentle — especially if you're already comfortable with Redis. 🤔 What's your go-to for background job processing in Node.js? #nodejs #bullmq #nestjs #typescript #backend #redis #webdevelopment #softwaredevelopment

Day 94 of my #100DaysOfCodeChallenge Backend phase complete ✅ I’ve officially wrapped up my revision of Node.js, Express, and MongoDB. What stood out the most wasn’t just writing APIs, but understanding: How servers handle requests How data flows through an application How to structure code for scalability How to handle errors properly How authentication really works behind the scenes One key realization: If you don’t understand the flow, you don’t understand the system. Advice to fellow developers: Take your time to truly understand concepts Don’t skip fundamentals (they come back later) Practice by building real features, not just examples Debugging is part of learning — embrace it Next step: diving into React to start building full-stack applications. Let’s keep building. #100DaysOfCode #BackendDevelopment #NodeJS #ExpressJS #MongoDB #LearnInPublic

🚀 5 Things I Focus on While Designing Scalable APIs While building APIs handling thousands of requests daily, I realized scalability is not accidental — it's designed. Here are 5 things I always focus on 👇 1️⃣ Proper API Design Use clear endpoints, versioning, and consistent naming 2️⃣ Pagination & Filtering Never return huge datasets in one go 3️⃣ Caching (Redis) Reduce database load wherever possible 4️⃣ Rate Limiting Protect APIs from abuse and traffic spikes 5️⃣ Efficient Database Queries Indexes + optimized queries = real performance gains 💡 Bonus: Always monitor your APIs (logs + metrics) — what you don’t measure, you can’t improve. 👉 Lesson: Scalable APIs are not about writing more code, they’re about writing smart and efficient systems. If you're preparing for backend or system design roles, mastering these basics will give you a huge edge. #BackendDevelopment #APIDesign #Scalability #SystemDesign #NodeJS

How many times have you set up the same Next.js stack from scratch? Install ORM. Set up DB. Configure auth. Wire APIs. Repeat… again and again. I got tired of it — so I built a CLI to do it for me. Run one command → pick your stack → your full project is ready. Prisma or Drizzle? Postgres or MongoDB? NextAuth, Clerk, or JWT? tRPC, GraphQL, or REST? You choose. It scaffolds everything. No setup. No repetition. Just code. Still testing it, but planning to release it soon 👀 Would you use this? #NextJS #FullStack #DeveloperTools #OpenSource #Typescript

Stop building "modern" backends that can't handle 10,000 users. I’ve seen too many projects fail because the team spent 3 months over-engineering a "perfect" microservices architecture before they even had 100 signups. The truth about high-scale systems? The "old" stuff is often the best stuff. Here is my "unpopular" stack for 2026 that actually scales: Laravel: For speed of delivery. The developer experience is still unmatched. Node.js (for the heavy lifting): When I need non-blocking I/O and real-time performance. PostgreSQL over everything: Don't reach for NoSQL until your SQL joins actually break (which is much later than you think). The Load Balancer is your best friend: Stop tweaking code until you've checked your Nginx config. Scaling isn't about using the newest tool on GitHub. It’s about understanding where the bottleneck is before it happens. Agree or disagree? Let’s fight it out in the comments. 👇 #Backend #SystemDesign #SoftwareEngineering #WebDev #Laravel #NodeJS