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Technical Insights On Building Scalable AI Systems and Full Stack Applications

In-depth, opinionated guides on shipping production AI systems — Retrieval-Augmented Generation (RAG), LangChain and LangGraph agent workflows, vector search, Next.js performance, TypeScript architecture, and the DevOps that holds it all together. Every post is written for engineers who have to make the trade-offs, not just describe them.

· Written by Niraj Kumar

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Practical breakdowns of AI systems, scalable backends, modern web stacks, and production-ready engineering.

61 articles found

Infrastructure as Code with AWS CDK or Terraform for JS Developers

A practical, code-first guide for JavaScript and TypeScript developers to provision EC2, S3, Lambda, and databases declaratively using AWS CDK and Terraform.

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Building a Cloud‑Native Architecture on AWS with S3, RDS, and Lambda

Learn how to design a scalable, secure, cloud-native SaaS architecture on AWS using S3 for storage, RDS for relational data, and Lambda for serverless compute — with real-world patterns, code examples, and best practices.

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Managing Linux Servers Like a Pro: Security, Monitoring, and Automation

A practical, in-depth guide to hardening SSH, managing users securely, automating tasks with cron and systemd, and building basic Linux server monitoring scripts — with real commands and 2026 best practices.

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Container Orchestration for Beginners: Docker Swarm vs Kubernetes Lite

A beginner-friendly guide comparing Docker Swarm and Kubernetes Lite (k3s, MicroK8s) to help you choose the right container orchestration tool for your project in 2026.

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Setting Up a CI/CD Pipeline for Next.js on GitHub Actions

A complete, practical guide to automating linting, testing, building, and deploying a Next.js app to S3/CloudFront or Vercel using GitHub Actions.

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AWS EC2 vs Lambda vs ECS: Which Server Architecture Fits Your App?

A practical, cost-and-scaling-focused comparison of AWS EC2, Lambda, and ECS to help you pick the right compute architecture for your backend in 2026.

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