System Design (High-Level Design)

Foundational concepts, distributed systems patterns, and case studies.

Sections

• Core Principles: Data integrity with Checksums, Data Locality across CPU/Memory hierarchies, and Compression algorithms.
• Observability: Metrics, Structured Logging, and Distributed Tracing.
• Case Studies: Kafka vs. Redis Streams comparison matrix and a multi-strategy Load Balancer in Python.