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Cache Stampede Prevention: Distributed Locking, Pub/Sub, and Request Coalescing
From distributed locks to request coalescing: techniques for coordinating cache rebuilds and preventing cascading failures.
 • Animesh Gaitonde
Redis Locks: Working, Failure Modes and Real-World Examples
How do reservation systems prevent thousands of concurrent users from booking the same seat?
 • Animesh Gaitonde
How Distributed Systems Store Files: Databases, Object Storage, and the Trade-offs
From database BLOBs to object stores — understanding the architecture patterns and when to use each
 • Animesh Gaitonde
Database Proxies: Connection Management at Scale
How to scale a database to handle 100K connections?
 • Animesh Gaitonde
Connection Pooling: Fundamentals, Challenges and Trade-offs
How to handle 10,000 concurrent requests without crashing your database
 • Animesh Gaitonde
API Pagination: Techniques, Real-World Applications And Best Practices
Learn how X (Twitter) and Spotify use API pagination to handle massive datasets efficiently
 • Animesh Gaitonde
Anatomy of Facebook's 2010 outage: Cache invalidation gone wrong
How a cache validation bug cascaded into Facebook's longest downtime
 • Animesh Gaitonde
Engineering At Scale
Engineering At Scale
Weekly column simplifying databases, system design, architecture, and engineering careers with easy explanations, valuable insights, and expert advice.
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