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Day 0: System Architecture basics
- System design starts with understanding the high-level architecture of a computer system, including bits, storage, RAM, cache memory, CPU, and motherboard.
- Production-ready app architecture involves components like CI/CD pipelines, load balancers, external storage solutions, and logging and monitoring systems.
- Debugging process includes error identification through logs, replication in non-production environments, analysis using tools, and hotfix deployment for temporary fixes.
- Key principles of system design include scalability, maintainability, efficiency, and robustness under adverse conditions.
- The CAP theorem outlines trade-offs in distributed systems, balancing consistency, availability, and partition tolerance.
- Networking basics cover IP addressing, data packets, transport layer protocols like TCP and UDP, and application layer protocols such as HTTP, WebSockets, SMTP, and FTP.
- API design best practices focus on RESTful principles, GraphQL flexibility, and rate limiting to control API requests.
- Strategies for reducing latency in web development involve caching and CDNs for faster data access.
- Proxy servers serve as intermediaries like forward proxies for client anonymity and reverse proxies for load balancing and encryption management.
- Load balancing distributes workloads via strategies like round-robin, least connection, and geographical algorithms to prevent server bottlenecks.
- Database fundamentals cover relational vs. NoSQL databases, sharding, replication, caching, and indexing for performance optimization.
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