System Design: URL Shortener from Scratch
Deep dive into URL shortener architecture. Learn hash function design, redirect logic, data storage, rate limiting, and high-availability.
Posts tagged with #system-design
Load Balancing: Traffic Control for Modern Infrastructure
Learn how load balancers distribute traffic across servers, the differences between L4 and L7 load balancing, and when to use software vs hardware solutions.
PACELC Theorem: Latency vs Consistency Trade-offs
Explore the PACELC theorem extending CAP theorem with latency-consistency trade-offs. Learn when systems choose low latency over strong consistency and vice versa.
CAP Theorem: Consistency vs Availability Trade-offs
Learn the fundamental trade-off between Consistency, Availability, and Partition tolerance in distributed systems with practical examples.
Cache Eviction Policies: LRU, LFU, FIFO, and Beyond
A comprehensive guide to cache eviction policies — LRU, LFU, FIFO, Random — with implementation trade-offs, decision frameworks, and real-world case studies.
Cache Patterns: Thundering Herd, Stampede Prevention, and Cache Warming
A comprehensive guide to advanced cache patterns — thundering herd, cache stampede prevention with distributed locking and probabilistic early expiration, and cache warming strategies.
CDN Deep Dive: Content Delivery Networks Explained
A comprehensive guide to CDNs — how they work, PoP architecture, anycast routing, cache invalidation strategies, SSL/TLS termination, and real-world performance trade-offs.
Distributed Caching: Scaling Cache Across Multiple Nodes
A comprehensive guide to distributed caching — consistent hashing, cache sharding, replica consistency, cache clustering, and handling the unique challenges of multi-node cache environments.
Redis vs Memcached: Choosing an In-Memory Data Store
A comprehensive comparison of Redis and Memcached — data structures, persistence, clustering, Lua scripting, pub/sub, and guidance on when to choose each.
Caching Strategies: A Practical Guide
Compare cache-aside, read-through, write-through, write-behind, and refresh-ahead. Learn how TTLs, invalidation, and cache sizing shape freshness and latency.