Here is a complete roadmap for learning High-Level Design (HLD):
➤ 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀:
-
System Design Basics:
- Understanding client-server models, database basics, and CAP theorem
- Load Balancing, Caching, Proxies, and CDNs
-
Scalability and Reliability:
- Scaling techniques (vertical vs. horizontal)
- Fault tolerance, redundancy, and availability considerations
-
Data Partitioning and Sharding:
- Partitioning methods and handling data consistency across shards
➤ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀:
-
Database Selection:
- Choosing between SQL and NoSQL based on use cases
- Database replication and consistency models
-
Caching Strategies:
- Cache-aside, read-through, and write-through
- Eviction policies and caching tiers
-
Messaging and Queueing Systems:
- Message brokers (e.g., Kafka, RabbitMQ) and event-driven architecture
- Asynchronous communication, pub-sub models, and real-time data processing
➤ 𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀:
-
Microservices Architecture:
- Service decomposition, inter-service communication, and service discovery
- API Gateway and circuit breaker patterns
-
Event-Driven Architecture:
- Event sourcing, CQRS, and handling eventual consistency
-
Data Consistency and Transactions:
- Distributed transactions, two-phase commit, and BASE vs. ACID principles
➤ 𝗗𝗶𝗮𝗴𝗿𝗮𝗺𝘀 𝗮𝗻𝗱 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲:
-
Component Diagram:
- Breakdown of services and their interactions
-
Sequence and Interaction Diagrams:
- Capturing how different services or users interact across systems
-
Practice Real-World Scenarios:
- Design a URL Shortener, Social Media Feed, Chat Application, File Storage, etc.
𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲: https://lnkd.in/dZZZw8gm
➤ 𝗪𝗮𝘁𝗰𝗵 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀:
- 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
➤ 𝗧𝗼𝗽 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝗶𝗲𝘀:
Stay curious, keep learning, and keep sharing!
Top comments (1)
In my experience with gohighlevel consultant, the key is choosing tools that integrate well with your existing stack. Compatibility often matters more than features.