Disclaimer: Content such as the "System Design Primer" and Paperdraw are mentioned alongside his work in the community for comprehensive learning. If you'd like, I can:
| Module | Duration / Focus | Key Concepts Covered | | :--- | :--- | :--- | | | ~ 6 hours | Eventual consistency, routing, caching, converting requirements to designs, addressing single points of failure. | | High-Level Design (HLD) | ~ 5 hours | Designing large-scale distributed systems using microservices, ensuring scalability and fault tolerance. | | Low-Level Design (LLD) | ~ 4.5 hours | Translating high-level concepts into code. Deep dive into design patterns, class diagrams, and UML. | | Machine Coding | ~ 5 hours | Tackling live coding challenges effectively. Problem-solving, performance optimization, and clean code practices. |
Data is written to the cache and DB simultaneously. gaurav sen system design
A technique used to distribute data across multiple nodes while minimizing reorganization during server failures. Databases: Deciding between (for ACID transactions) and (for high scalability) based on requirements. CAP Theorem:
Learn about NoSQL vs. SQL and Message Queues (like Kafka). Disclaimer: Content such as the "System Design Primer"
: He advocates for starting with the user's perspective to convert business needs into technical requirements.
Data is written to the cache instantly; async workers write to the DB later. Database Sharding and Replication | | Low-Level Design (LLD) | ~ 4
His curriculum covers a broad range of fundamental and advanced topics essential for modern software engineering:
Gaurav Sen has built a system of his own. Input: Anxious, unprepared engineers. Output: Confident architects.
The Gaurav Sen methodology fundamentally rejects rote memorization, focusing instead on three core pillars:
Disclaimer: Content such as the "System Design Primer" and Paperdraw are mentioned alongside his work in the community for comprehensive learning. If you'd like, I can:
| Module | Duration / Focus | Key Concepts Covered | | :--- | :--- | :--- | | | ~ 6 hours | Eventual consistency, routing, caching, converting requirements to designs, addressing single points of failure. | | High-Level Design (HLD) | ~ 5 hours | Designing large-scale distributed systems using microservices, ensuring scalability and fault tolerance. | | Low-Level Design (LLD) | ~ 4.5 hours | Translating high-level concepts into code. Deep dive into design patterns, class diagrams, and UML. | | Machine Coding | ~ 5 hours | Tackling live coding challenges effectively. Problem-solving, performance optimization, and clean code practices. |
Data is written to the cache and DB simultaneously.
A technique used to distribute data across multiple nodes while minimizing reorganization during server failures. Databases: Deciding between (for ACID transactions) and (for high scalability) based on requirements. CAP Theorem:
Learn about NoSQL vs. SQL and Message Queues (like Kafka).
: He advocates for starting with the user's perspective to convert business needs into technical requirements.
Data is written to the cache instantly; async workers write to the DB later. Database Sharding and Replication
His curriculum covers a broad range of fundamental and advanced topics essential for modern software engineering:
Gaurav Sen has built a system of his own. Input: Anxious, unprepared engineers. Output: Confident architects.
The Gaurav Sen methodology fundamentally rejects rote memorization, focusing instead on three core pillars: