Here is the Index Page for your Backend Architecture folder. It mirrors the structure of your Frontend section but focuses on stability, data, and scale.

Backend Architecture

Tags: system-design backend database scaling redis

The Philosophy

If Frontend is the “Show,” Backend is the “Stage Manager.” It remains unseen until something breaks. Good backend architecture isn’t about using the newest database; it’s about predicting failure modes—concurrency issues, race conditions, and bottlenecks—and designing systems that survive them.

⚙️ The Core Concepts

This section documents the patterns and decisions that keep the server alive under pressure. It covers:

• Resilience: Handling failures gracefully (Circuit Breakers, Retries).

• Caching Strategy: Balancing speed with data consistency.

• Data Persistence: Database design, sharding, and replication.

• Concurrency: Managing race conditions in distributed systems.

📂 The Write-ups

🛡️ Caching & Performance

Strategies to protect the database and reduce latency.

• Surviving the Thundering Herd: Strategies to Prevent Cache Stampede

  • Summary: What happens when a popular cache key expires and 10,000 requests hit the database simultaneously? A deep dive into the “Cache Stampede” problem and advanced solutions like Probabilistic Early Expiration (X-Fetch) and Mutex Locking.

  • Keywords: Redis, Cache Stampede, Thundering Herd, X-Fetch

💾 Data & Consistency

(Future posts go here, e.g., “Designing Idempotent APIs for Payment Processing”)

📡 Communication Patterns

(Future posts go here, e.g., “Event-Driven Architecture vs. REST: When to decouple”)

🔮 Future Roadmap / To-Learn

• Database Sharding vs. Partitioning

• Rate Limiting algorithms (Token Bucket vs. Leaky Bucket)

• Message Queues (Kafka/RabbitMQ) for load leveling