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Insight 105
Insight 105

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Academic Suite (Go + React)

Production-Ready Fullstack LMS with Go & React


Preface

  • Who This Book Is For
  • What You Will Build
  • Why LMS & Why Go + React

Phase 0 – Problem Space & Big Picture

Chapter 1 – The Real Problems of Online Exam Systems

  • Common failures of conventional LMS
  • Issues of scale, integrity, and UX
  • Online exam case studies

Chapter 2 – System Architecture Overview

  • High-level architecture diagram
  • Data flow: student, exam, scoring
  • Synchronous vs. asynchronous
  • Design trade-offs

Phase 1 – Foundations & Architecture

Chapter 3 – Tech Stack & Project Setup

  • Go, React, Database, and supporting tools
  • Repository structure
  • Development workflow

Chapter 4 – Database Design & Domain Modeling

  • Core LMS entities
  • Relationships and normalization
  • Schema for large-scale exams

Chapter 5 – Authentication & Authorization

  • Roles: Admin, Teacher, Student
  • JWT & session strategy
  • Secure access control

Phase 2 – Core Business Logic

Chapter 6 – Quiz Management & Question Bank

  • Question types
  • Question randomization
  • Quiz versioning

Chapter 7 – The Exam Engine (The Heart of the System)

  • Exam lifecycle
  • Timer & submission logic
  • Automated grading

Chapter 8 – Data Integrity & Anti-Cheating Strategy

  • Exam tokens
  • Detecting tab switching & refresh
  • Audit logs

Phase 3 – Frontend Engineering with React

Chapter 9 – React Application Architecture

  • Folder structure
  • State management strategy
  • API communication

Chapter 10 – Building the Exam Interface

  • UX for exam situations
  • Handling network failure
  • Accessibility considerations

Phase 4 – Advanced & Real-Time Features

Chapter 11 – Real-time Monitoring Dashboard

  • Live participant tracking
  • WebSocket / polling strategy
  • Visualizing exam status

Chapter 12 – Reporting & Analytics

  • Exam results
  • Student performance analysis
  • Data export & insights

Phase 5 – Production & Scaling

Chapter 13 – Deployment & Environment Strategy

  • Docker & environment config
  • CI/CD overview

Chapter 14 – Handling Scale & Concurrency

  • Concurrent exams
  • Load strategy
  • Performance considerations

Chapter 15 – Logging, Monitoring & Reliability

  • Error handling
  • Basic observability
  • Recovery strategy

Phase 6 – From Project to Product

Chapter 16 – Security, Compliance & Hardening

  • Security checklist
  • Data privacy

Chapter 17 – Future Development Roadmap

  • Multi-tenant LMS
  • Proctoring & AI
  • Mobile app & SaaS opportunity

Closing

  • Summary of Learnings
  • Next Steps for Readers Want the full source code right now? Star the GitHub Repository.

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