If you're completely new to system design (most freshers are!), here's a simple, beginner-friendly explanation before jumping into the roadmap.
What is System Design?
System design is the process of planning and building the blueprint (architecture) of a software system. It's like drawing the map for a big building before construction starts. You decide:
- What parts (components) the system needs (e.g., database, servers, cache).
- How these parts connect and talk to each other (data flow).
- How the system handles real-world needs like millions of users, slow internet, or server crashes.
In simple words:
- Coding = writing instructions for a small program.
- System Design = designing how thousands/millions of users can use your app smoothly, reliably, and fast, even if one part fails.
Why do freshers need to learn it in 2026?
- Product companies (Google, Amazon, Flipkart, startups) ask system design questions even for freshers/entry-level roles. They want to see if you can think big, not just code small.
- Service-based companies (TCS Prime, Infosys, Accenture) now include basic Low-Level Design (LLD/OOP) or simple scaling questions.
- Freshers usually get easier questions: Design TinyURL, Parking Lot system, Rate Limiter, Elevator, or basic Instagram feed, not full Netflix backend.
- Goal: Show you can think logically, make trade-offs (e.g., speed vs cost), and explain your ideas clearly.
Two Main Types (Freshers Focus Here)
- High-Level Design (HLD): Big picture, how major parts connect (e.g., user → load balancer → servers → database). Focus on scalability, performance.
- Low-Level Design (LLD): Detailed picture, classes, methods, OOP patterns (e.g., design Parking Lot with classes like Vehicle, Spot, Floor). Very common in Indian placements.
Simple Real-World Example
Imagine building WhatsApp:
- HLD: Users send messages → API server → message queue → delivery server → friend's phone. Use database for storage, cache for quick reads.
- LLD: Design the "Chat" class with methods like sendMessage(), receiveMessage().
Key Mindset for Beginners
- No "perfect" answer, interviewers care about your reasoning and trade-offs (e.g., why SQL vs NoSQL?).
- Always start with: Clarify requirements → Estimate scale → Design high-level → Dive deep → Discuss trade-offs.
- Draw diagrams! (Use free tools like Draw.io or Excalidraw), this is 50% of the battle.
Quick Starter Resources (Watch These First)
- Gaurav Sen:( System Design YouTube Playlist ) – Excellent for beginners.
- roadmap.sh System Design Intro Section – Visual overview.
- GeeksforGeeks: Getting Started with System Design – Simple HLD vs LLD explanation.
Once you understand this intro, the rest of the roadmap will make sense. Let's dive in!
Why This Updated Roadmap? (Based on Reviews & Experiences)
We've refined this based on 2025–2026 fresher experiences (Reddit r/developersIndia, LinkedIn posts, YouTube comments, Medium articles):
- Freshers succeed by focusing on basics + practice explaining aloud.
- Draw diagrams every time, interviewers flag missing visuals.
- Add 2026 trends: AI/ML integration (e.g., LLM APIs) and cloud basics (AWS free tier).
- Common advice: Don't memorize, understand trade-offs and reason like an engineer.
Prerequisites
- Solid DSA + OOP (Java/Python preferred).
- If weak → first complete your DSA roadmap.
- Tools: Draw.io / Excalidraw (free) for diagrams.
Study Plan Tips (From Real Freshers)
- 4–6 hours/day.
- Draw diagrams yourself, helps retain concepts.
- Record yourself explaining designs (45 min timer).
- Build GitHub portfolio: Implement 3–5 designs in code.
- Mock interviews: Pramp, Interviewing.io (free tier), or batchmates. Aim for 8–10 mocks.
Week 1: Fundamentals & Interview Approach
Topics
- What is System Design? (HLD vs LLD)
- Functional vs Non-Functional Requirements
- Performance vs Scalability, Latency vs Throughput
- Availability (99.9% = three 9s), Consistency
- CAP Theorem (CP vs AP examples: Banks=CP, Social Media=AP)
- Interview structure: Clarify → Estimate → High-level → Deep-dive → Trade-offs
Free Resources
- Lets Code System Design roadmap (with resources)
- GeeksforGeeks: Complete Roadmap to Learn System Design for Beginners (2025 updated)
- YouTube: Gaurav Sen – System Design Primer Playlist → Playlist Link
- GitHub: donnemartin/system-design-primer (Intro + CAP)
- Educative.io Grokking the System Design Interview (Free Preview)
Practice — Draw client-server diagram + requirements for a simple chat app.
Week 2: Scaling & Networking Basics
Topics
- Horizontal vs Vertical Scaling
- Load Balancing (round-robin, least connections)
- Reverse Proxy vs Load Balancer (NGINX example)
- DNS, CDNs (Push vs Pull)
- HTTP/HTTPS, TCP vs UDP basics
Free Resources
- Gaurav Sen: "Horizontal vs. Vertical Scaling" → Video
- GeeksforGeeks: Load Balancer
- ByteByteGo Channel – Scaling videos
Practice — Diagram load-balanced app with CDN.
Week 3: Databases & Storage
Topics
- SQL vs NoSQL (when to use)
- ACID vs BASE
- Indexing, Normalization/Denormalization
- Replication (Master-Slave, Master-Master)
- Sharding basics
- Types: RDBMS, Redis, MongoDB
Free Resources
- Gaurav Sen — Introduction to NoSQL Databases (NoSQL basics + Cassandra explained)
- Gaurav Sen — SQL vs NoSQL Tradeoffs (System design focus)
- freeCodeCamp: NoSQL vs SQL – Which type of database should you use?
- GeeksforGeeks: SQL vs NoSQL
- GeeksforGeeks: Database Sharding concept
- System Design Primer: Databases (section in GitHub)
- InterviewBit: Database Q&A
Practice — Schema for Twitter-like app (SQL + NoSQL).
Week 4: Caching, Queues & Asynchronism
Topics
- Caching: Cache-Aside, Write-Through, Write-Behind
- Redis use cases
- Message Queues (Kafka/RabbitMQ basics)
- Task queues, Back Pressure
- Idempotency
Free Resources
- ByteByteGo: Caching Series
- Gaurav Sen playlist
- System Design Primer: Caching
- roadmap.sh: Caching & Queues
Practice — Add cache to previous designs.
Week 5: APIs, Microservices & Communication (+ 2026 Trends)
Topics
- REST vs gRPC vs GraphQL
- API Gateway, Rate Limiting
- Microservices basics
- Service Discovery
- Trend: AI/ML integration (e.g., LLM APIs in systems)
Free Resources
- Gaurav Sen: What is a Microservice Architecture (Microservices explained)
- Gaurav Sen: What is an API and how do you design it? (API fundamentals)
- REST vs gRPC for Microservices (video explanation)
Practice — REST API for e-commerce with AI stub.
Week 6: Low-Level Design (LLD) & OOP Patterns
Topics
- SOLID Principles
- Patterns: Singleton, Factory, Observer
- Classics: Parking Lot, Elevator, Library, Splitwise
Free Resources
- Gaurav Sen LLD playlist (search channel)
- GitHub: prasadgujar/low-level-design-primer
- GeeksforGeeks: LLD questions
- Exponent: Beginner LLD Mock
Practice — Code Parking Lot (GitHub).
Week 7: Advanced Patterns, Reliability & Monitoring
Topics
- Circuit Breaker, Retry, Bulkhead
- Monitoring basics
- Event Sourcing/CQRS intro
- Antipatterns
- Trend: Cloud-Native (Kubernetes basics)
Free Resources
- Hello Interview: System Design in a Hurry
- System Design Primer: Reliability
- roadmap.sh: Reliability & Monitoring
- Wise.jobs: Reliability Tips
Practice — Spot antipatterns.
Week 8: Practice Classic Problems + Mocks
Key Problems
- TinyURL / URL Shortener
- Rate Limiter
- Instagram / Twitter Timeline
- Parking Lot / Elevator
- BookMyShow
- Vending Machine, Library
Free Resources
- takeUforward: Complete System Design Roadmap
- Gaurav Sen design problems
- GeeksforGeeks questions
- GitHub: ashishps1/awesome-system-design-resources
- IGotAnOffer: System Design Questions
Practice Plan
- 2–3 problems/week (45 min timed).
- Free mocks: Exponent YouTube, Hello Interview.
Final 2026 Placement Tips
- Portfolio: GitHub with 3–5 coded designs.
- India focus: Amazon = LLD heavy; Google = HLD basics. Off-campus peak Feb–May.
- Communities: Reddit r/developersIndia, LeetCode Discuss, LinkedIn.
- Next: Full mocks + upcoming design problem series.
Start with the intro videos today, consistency is everything!
Share progress on X @AvinashSingh_20. All the best for 2026 placements, Avinash!
More resources shared on - Lets Code
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