Here is a complete roadmap for learning High-Level Design (HLD):
โค ๐๐๐ป๐ฑ๐ฎ๐บ๐ฒ๐ป๐๐ฎ๐น ๐๐ผ๐ป๐ฐ๐ฒ๐ฝ๐๐:
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System Design Basics:
- Understanding client-server models, database basics, and CAP theorem
- Load Balancing, Caching, Proxies, and CDNs
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Scalability and Reliability:
- Scaling techniques (vertical vs. horizontal)
- Fault tolerance, redundancy, and availability considerations
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Data Partitioning and Sharding:
- Partitioning methods and handling data consistency across shards
โค ๐๐ฑ๐๐ฎ๐ป๐ฐ๐ฒ๐ฑ ๐๐ผ๐บ๐ฝ๐ผ๐ป๐ฒ๐ป๐๐:
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Database Selection:
- Choosing between SQL and NoSQL based on use cases
- Database replication and consistency models
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Caching Strategies:
- Cache-aside, read-through, and write-through
- Eviction policies and caching tiers
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Messaging and Queueing Systems:
- Message brokers (e.g., Kafka, RabbitMQ) and event-driven architecture
- Asynchronous communication, pub-sub models, and real-time data processing
โค ๐๐ถ๐๐๐ฟ๐ถ๐ฏ๐๐๐ฒ๐ฑ ๐ฆ๐๐๐๐ฒ๐บ ๐ฃ๐ฎ๐๐๐ฒ๐ฟ๐ป๐:
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Microservices Architecture:
- Service decomposition, inter-service communication, and service discovery
- API Gateway and circuit breaker patterns
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Event-Driven Architecture:
- Event sourcing, CQRS, and handling eventual consistency
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Data Consistency and Transactions:
- Distributed transactions, two-phase commit, and BASE vs. ACID principles
โค ๐๐ถ๐ฎ๐ด๐ฟ๐ฎ๐บ๐ ๐ฎ๐ป๐ฑ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ:
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Component Diagram:
- Breakdown of services and their interactions
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Sequence and Interaction Diagrams:
- Capturing how different services or users interact across systems
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Practice Real-World Scenarios:
- Design a URL Shortener, Social Media Feed, Chat Application, File Storage, etc.
๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ: https://lnkd.in/dZZZw8gm
โค ๐ช๐ฎ๐๐ฐ๐ต ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐:
- Shrayansh Jain: https://lnkd.in/d_m-g-BJ
- Arpit Bhayani: https://lnkd.in/dGH4fTe7
- Gaurav Sen : https://lnkd.in/dgjFGmXc
- The Code Mate: https://lnkd.in/d8_6yTSN
- Soumyajit Bhattacharyay: https://lnkd.in/dFe4t5gZ
โค ๐ง๐ผ๐ฝ ๐ฅ๐ฒ๐ฝ๐ผ๐๐ถ๐๐ผ๐ฟ๐ถ๐ฒ๐โ:
Stay curious, keep learning, and keep sharing!
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