Engineering At Scale

Engineering At Scale

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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
Library vs Service: Lessons from Netflix's Multi-Year Migration
In-depth framework to choose between a library and a service
 • Animesh Gaitonde
Redis Persistence Dive Deep - Trade-offs Between Performance And Durability
Understanding AOF and RDB strategies, their trade-offs and applications
 • Animesh Gaitonde
Scaling Distributed Systems with the Scatter-Gather Pattern
What is Scatter-Gather pattern ? How does it work and its applications
 • 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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