Here is a complete roadmap for learning High-Level Design (HLD):
ā¤ ššš»š±š®šŗš²š»šš®š¹ šš¼š»š°š²š½šš:
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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
ā¤ šš±šš®š»š°š²š± šš¼šŗš½š¼š»š²š»šš:
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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
ā¤ šš¶šššæš¶šÆššš²š± š¦šššš²šŗ š£š®ššš²šæš»š:
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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
ā¤ šš¶š®š“šæš®šŗš š®š»š± š£šæš®š°šš¶š°š²:
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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.
š„š²šš¼ššæš°š²: https://lnkd.in/dZZZw8gm
ā¤ šŖš®šš°šµ š„š²šš¼ššæš°š²š:
- 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
ā¤ š§š¼š½ š„š²š½š¼šš¶šš¼šæš¶š²šā:
Stay curious, keep learning, and keep sharing!
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