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πŸ“’ DSA & System Design Developer Roadmap β€” All Languages Edition

This roadmap is inspired by industry standards (roadmap.sh, [GeeksforGeeks], [Scaler], and others) and tailored for a 6–12 month journey, with skills, projects, and recommended stack for advancing your DSA (Data Structures & Algorithms) and System Design expertise.


πŸ—‚ Table of Contents

  1. Programming Fundamentals
  2. DSA: Core Concepts
  3. DSA: Patterns & Advanced Data Structures
  4. DSA: Algorithms & Problem Solving
  5. Competitive Coding & Mock Interviews
  6. System Design: Principles & Fundamentals
  7. System Design: Scaling, Reliability & Performance
  8. System Design: Patterns & Architectures
  9. Advanced System Design & Real World Case Studies
  10. Projects: Portfolio & Practice
  11. Stack & Tools
  12. Skills Checklist

1. πŸ”€ Programming Fundamentals

  • Pick a primary language: C++, Python, Java, JavaScript, C#, Go, Rust, etc.
  • Master variables, data types, loops, conditionals, functions, scope
  • Learn OOP basics: classes, inheritance, polymorphism

Mini-projects:

  • CLI calculator
  • Simple array manipulation tasks
  • Convert code snippets (e.g., palindrome check, sorting)

2. πŸ“š DSA Core Concepts

  • Time complexity, Space complexity (Big-O analysis)
  • Arrays & Strings: operations, sliding window, two pointers
  • Linked Lists: singly, doubly, circular; pointers, fast/slow
  • Stacks & Queues: usage, implementation, recursion, undo
  • Hash Tables/Maps/Sets: for fast lookup, uniqueness
  • Trees: binary, BST, AVL, heaps, traversals
  • Graphs: BFS, DFS, directed/undirected, weighted
  • Recursion & Backtracking: basics and constraints
  • Sorting & Searching: bubble, merge, quick, binary search, variations
  • Problem-solving patterns: sliding window, two pointers, fast/slow pointers, prefix sum

Mini-projects:

  • Implement custom Array, LinkedList, Stack
  • Balanced parentheses validator
  • Binary tree traversals (inorder, preorder, postorder)

3. πŸ“ˆ DSA Patterns & Advanced Data Structures

  • Heaps/Priority Queue, Trie
  • Trees (AVL, Red-Black, Segment Trees, Fenwick/BIT trees)
  • Disjoint Set Union (Union-Find)
  • Suffix Array, Suffix Tree
  • Interval/Segment/Fenwick Trees for efficient queries
  • Advanced Graph Algorithms (Dijkstra, Floyd-Warshall, Tarjan’s, Johnson’s, SCCs, MST)
  • Persistent & Augmented Data Structures
  • Geometry Algorithms
  • Heavy-Light Decomposition, B-Trees, Centroid Decomposition
  • Bit Manipulation, Game Theory, Mo’s Algorithm

Mini-projects:

  • Fenwick Tree implementation for prefix sums
  • Build a segment tree for range min/max queries
  • Union-Find for cycle detection in graphs

4. 🧠 DSA Algorithms & Problem Solving

  • Dynamic Programming: memoization, tabulation (e.g., knapsack, LCS, LIS, coin change)
  • Divide & Conquer, Greedy Algorithms (optimal substructure)
  • Graph Algorithms: BFS, DFS, Topological Sort, Dijkstra, Kruskal, Prim, Bellman-Ford
  • String Algorithms: KMP, Rabin-Karp, Z-Algorithm
  • Practice problem-solving patterns:
    • Prefix sum
    • Two pointers & sliding window
    • BFS/DFS in trees and graphs
    • Backtracking for permutations/combinations

Mini-projects:

  • Longest substring without repeating chars (sliding window)
  • N-Queens puzzle solver (backtracking)
  • Knapsack DP, Tree diameter, Topological sort

5. πŸ† Competitive Coding & Mock Interviews

  • Practice on platforms: LeetCode, CodeForces, HackerRank, AtCoder, CodeChef
  • Tackle problems by category and pattern
  • Mock interviews: timed contests, whiteboard exercises
  • Learn from solutions and discuss trade-offs

Mini-projects:

  • Weekly problem sets by topics
  • Simulated technical interviews

6. πŸ—οΈ System Design Principles & Fundamentals

  • Scalability: vertical/horizontal, sharding, partitioning, load balancing
  • Reliability: redundancy, replication, fault tolerance, backup
  • Maintainability: modular, clean code, CI/CD pipelines
  • Availability, Consistency, Partition Tolerance (CAP theorem)

Mini-projects:

  • Build a scalable file storage service
  • CI/CD pipeline setup for a microservice

7. ⚑ System Design Scaling, Reliability & Performance

  • Caching (Redis/Memcached), CDN, distributed systems
  • API design (REST, GraphQL, gRPC, versioning)
  • Concurrency, parallelism, pub/sub messaging (Kafka, RabbitMQ)
  • Security: authentication, authorization, data encryption, rate-limiting
  • Observability: logging, monitoring, metrics (Prometheus, Grafana)

Mini-projects:

  • REST API with cache layer
  • Real-time data pipeline using Kafka + Redis
  • Dockerize a multi-service setup

8. πŸ”¬ System Design Patterns & Architectures

  • Monolith vs Microservices, SOA, Event-driven, CQRS
  • Object-Oriented Analysis & Design, SOLID, design patterns (Singleton, Factory, Observer)
  • API Gateway, Rate limiting
  • High Availability: failover, disaster recovery, geo-redundancy

Mini-projects:

  • Microservices to handle orders/notifications
  • Implement event-driven architecture with Kafka/RabbitMQ
  • CQRS pattern in an API

9. 🦾 Advanced System Design & Real World Case Studies

  • Distributed systems: consensus (Raft/Paxos), transactions, network partitioning
  • Real-world case studies:
    • URL shortener (Bit.ly)
    • E-commerce platform
    • Netflix (global scale, CDN, microservices)
    • WhatsApp/Uber (real-time messaging, location, pub/sub)
    • Instagram (write-optimized DBs, Cassandra)
  • Design trade-offs, industry best practices

Mini-projects:

  • Design and implement a scalable URL shortener
  • Breakdown Netflix or Uber’s architecture patterns

10. πŸ“‚ Projects: Portfolio & Practice

Beginner:

  • Notes app API
  • Blog API
  • Calculator (array/linked list based)

Intermediate:

  • Chat backend with WebSockets + Redis
  • E-commerce: product catalog, cart, orders, payment
  • Tree/graph visualizer

Advanced:

  • URL shortener at scale (system design)
  • Real-time event pipeline (Kafka, Redis, Docker)
  • Scheduling/notification system

11. βœ… Stack & Tools

  • Languages: C++, Python, Java, JavaScript, C#, Go, Rust
  • Platforms: LeetCode, HackerRank, CodeForces, GeeksforGeeks, AtCoder
  • System Design: Docker, Kubernetes, Redis, Kafka, RabbitMQ, Prometheus, Grafana, Nginx
  • Project management: Git/GitHub, CI/CD tools, monitoring/logging platforms

12. βœ… Skills Checklist

  • Master Big-O, time/space complexity
  • Implement arrays, linked lists, trees, graphs (core DSA)
  • Apply major algorithmic techniques (DP, divide & conquer, greedy)
  • Recognize and use coding patterns effectively (sliding window, two pointers, BFS/DFS)
  • Utilize advanced data structures (segment tree, trie, union-find)
  • Design, analyze, and debug scalable systems (system design fundamentals)
  • Build and scale RESTful APIs, integrate caching/pipeline solutions
  • Deploy and monitor distributed microservices (Docker/Kubernetes)
  • Solve problems and practice mock interviews regularly
  • Complete portfolio projects, beginner β†’ advanced

Official Resources:

πŸ’‘ Recommended Projects

These are portfolio-ready mini-projects to consolidate your skills:

  • DSA Patterns:
    • Sliding window substring challenge, longest palindrome
    • Implement Stack, Queue, Trie, Union-Find
    • Fenwick Tree/Segment Tree for range queries
  • System Design:
    • URL shortener with Redis, API gateway, analytics
    • Real-time messaging/chat pipeline with Kafka/Redis/Docker
    • E-commerce backend with microservices, event-driven architecture

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