$ show ashishps1/awesome-system-design-resources
This repository provides reference implementations of common system design patterns in Python and Java. It is primarily an educational resource containing standalone algorithm implementations for consistent hashing, rate limiting (token bucket, leaky bucket, sliding window variants), and load balancing algorithms (round robin, weighted round robin, least connections, least response time, IP hash). The code serves as a learning tool for system design interviews and concepts rather than a production-ready application. Each implementation is self-contained with usage examples embedded in the source files. The repository has no external dependencies beyond standard libraries, making it easy to extract and study individual patterns.
The LLM identified 5 files worth highlighting for reuse:
Clean implementation of consistent hashing with virtual nodes for load distribution. Uses bisect for efficient O(log n) server lookup on the hash ring. Self-contained with no external dependencies beyond standard library. Demonstrates proper handling of server addition/removal with minimal key redistribution.
Accurate sliding window rate limiter using deque for O(1) timestamp removal. More precise than counter-based approaches as it tracks individual request timestamps. Clean separation of concerns with minimal state management. Easily adaptable to different window sizes and limits.
Thread-safe token bucket implementation using synchronized methods. Properly calculates token refill based on elapsed time using Instant for accurate time tracking. Demonstrates Java best practices for concurrent access without external locking mechanisms.
Thread-safe round-robin load balancer using AtomicInteger for index management. Avoids race conditions in concurrent request handling. Clean implementation that could be extracted as a utility class for production load balancing scenarios.
Clean token bucket implementation that supports burst traffic by allowing requests up to capacity. Properly calculates token refill based on elapsed time. Demonstrates the classic token bucket algorithm with minimal state and clear logic flow.