Why Learn Engineering Fundamentals?
Strong engineering fundamentals separate good developers from great ones. These topics help you:- Design scalable and maintainable systems
- Debug complex issues efficiently
- Communicate technical decisions clearly
- Excel in system design interviews
- Build production-ready applications
Career Impact: Engineers with strong fundamentals are 3x more likely to be promoted to senior roles and consistently outperform in technical interviews at top companies.
Topic Categories
Computer Science Fundamentals
OS, Networks, Databases, Computer Architecture, and Distributed Systems basics
Software Design Principles
SOLID, DRY, KISS, Design Patterns, and Clean Code practices
Architecture Patterns
Microservices, Monolith, Event-Driven, DDD, Hexagonal, and more
DevOps & Infrastructure
CI/CD, Containers, Kubernetes, IaC, GitOps, and SRE
Security Fundamentals
Authentication, Authorization, Encryption, OWASP, and API Security
Performance & Optimization
Caching, Profiling, Load Testing, Async Processing, and Scaling
Learning Path
1
Foundation (Week 1-2)
Start with CS Fundamentals - understand how computers, networks, and databases work at a fundamental level. Master processes, threads, TCP/IP, and ACID properties.
2
Design Principles (Week 3-4)
Master SOLID principles, Design Patterns, and Clean Code practices. These form the foundation of all good software.
3
Architecture (Week 5-6)
Learn different architecture patterns (Monolith, Microservices, Event-Driven) and when to apply each. Understand trade-offs and DDD concepts.
4
Operations (Week 7-8)
Dive into DevOps, Security, and Performance optimization for production-ready systems. Learn CI/CD, monitoring, and scaling strategies.
Topic Difficulty Matrix
| Topic | Difficulty | Interview Frequency | Time to Learn |
|---|---|---|---|
| CS Fundamentals | 🟡 Medium | Very High | 2-3 weeks |
| SOLID Principles | 🟢 Easy | Very High | 1 week |
| Clean Code | 🟢 Easy | High | 1 week |
| Design Patterns | 🟡 Medium | Very High | 2-3 weeks |
| Microservices | 🟡 Medium | High | 2 weeks |
| DDD & Hexagonal | 🔴 Hard | Medium | 2-3 weeks |
| DevOps Basics | 🟡 Medium | Medium | 2 weeks |
| Kubernetes | 🔴 Hard | Medium | 3-4 weeks |
| Security | 🟡 Medium | Medium | 2 weeks |
| Performance | 🔴 Hard | Medium | 2-3 weeks |
What You’ll Learn
Computer Science Fundamentals
- Process vs Thread, Memory Management, Deadlocks
- TCP/IP, HTTP/1.1 vs HTTP/2 vs HTTP/3, WebSockets
- ACID, Transaction Isolation, Indexing, CAP Theorem
- CPU Cache Hierarchy, Latency Numbers
Design Principles & Patterns
- SOLID, DRY, KISS, YAGNI, Law of Demeter
- Creational: Singleton, Factory, Builder
- Structural: Adapter, Decorator, Facade
- Behavioral: Strategy, Observer, Command
Architecture Patterns
- Monolith vs Microservices vs Modular Monolith
- Event-Driven, CQRS, Event Sourcing
- Hexagonal Architecture, DDD Concepts
- Saga Pattern, Circuit Breaker, API Gateway
DevOps & SRE
- CI/CD Pipelines, GitOps
- Docker, Kubernetes, Helm
- Terraform, Infrastructure as Code
- Monitoring, Logging, Tracing (Observability)
- SLIs, SLOs, SLAs, Error Budgets
Security
- Authentication (JWT, OAuth 2.0) & Authorization (RBAC)
- OWASP Top 10 Vulnerabilities
- Encryption, HTTPS/TLS, Secrets Management
- API Security, CORS, CSP
Performance
- Caching Strategies (Cache-Aside, Write-Through)
- Database Optimization, N+1 Problem
- Load Testing, Profiling
- Horizontal vs Vertical Scaling