This repository is a collection of system design concepts, real-world application designs, and interview questions to help you prepare for system de#terviews. The goal is to provide a comprehensive resource covering both theoretical concepts and practical system designs.
This repository is organized into two main sections:
- Concepts: Covers the essential concepts needed to understand and design scalable, fault-tolerant, and efficient systems.
- Questions: Contains system design problems and their detailed solutions for real-world applications.
This section includes key system design concepts that are often asked in interviews or required when building scalable systems.
| Concept | Description |
|---|---|
| APIGateway.md | Explains the role of API gateways in microservices architecture. |
| BatchVsStreamProcessing.md | Compares batch processing and stream processing with examples. |
| CAPTheorem.md | Discusses the CAP theorem and its implications in distributed systems. |
| CDN.md | Covers how Content Delivery Networks work and how they improve latency. |
| Caching.md | Provides caching strategies like write-through, write-back, and eviction. |
| ConsensusAlgorithm.md | Explains consensus algorithms like Paxos and Raft in distributed systems. |
| DataPartitioning.md | Explains techniques for partitioning large datasets for scalability. |
| DatabaseIndexing.md | Covers database indexing and how it improves query performance. |
| DistributedLocks.md | Explains how distributed locks are used to coordinate access in distributed systems. |
| LeaderElection.md | Describes the process of leader election in distributed systems. |
| LatencyVsThroughput.md | Discusses trade-offs between latency and throughput in system design. |
| MicroservicesArchitecture.md | Explains the principles and challenges of microservices architecture. |
| WebSocket.md | Covers WebSockets and their use for real-time communication. |
For more concepts, check the concepts folder.
This section includes solutions for designing real-world applications. Each problem includes a detailed analysis, high-level architecture, data flow, and key challenges.
| Application Design | Description |
|---|---|
| CacheSystem.md | Design a scalable cache system with TTL, eviction policies, and persistence. |
| ChatBot.md | Design a chatbot that can handle real-time messaging with NLP integration. |
| Dropbox.md | Design a file storage and sharing system similar to Dropbox. |
| E-CommerceApp.md | Design an e-commerce system that handles transactions, product listings, and inventory. |
| GoogleSearch.md | Design the search engine behind Google Search, with ranking algorithms. |
| Instagram.md | Design a social media platform like Instagram, focusing on photo uploads, stories, and scaling. |
| Netflix.md | Design a video streaming platform like Netflix with high availability and low latency. |
| PushNotification.md | Design a push notification system for real-time delivery across platforms. |
| Twitter.md | Design a social media platform like Twitter with real-time feed and tweet features. |
| Uber.md | Design a ride-hailing service like Uber, handling real-time location tracking and #. |
| TaskScheduler.md | Design a task scheduling system that handles distributed tasks and retries. |
For more system design problems, check the questions folder.
- Study Concepts: Start by understanding the concepts that form the foundation of system design. Each concept is detailed with examples and key considerations.
- Practice with Questions: Apply what you've learned by going through the real-world application designs. These problems will help you practice solving open-ended design questions typically asked in interviews.
- Revise Key Topics: Use this repository to revise and refresh your knowledge before interviews or while working on projects that involve system design.
Feel free to contribute to this repository by:
- Adding more system design questions and solutions.
- Improving existing explanations or adding examples.
- Providing better diagrams or architectural representations.
This repository is licensed under the MIT License. See the LICENSE file for more details.
Happy learning and good luck with your system de#terviews!