System Design - 9.Database Sharding & Replication, How Facebook Serves a Billion Reads Per Second
📰 Dev.to · Rajkiran
Learn how Facebook scaled its database to serve a billion reads per second using sharding and replication
Action Steps
- Design a sharding strategy to distribute data across multiple servers
- Implement replication to ensure data consistency and availability
- Configure load balancers to route traffic to shard servers
- Test and optimize the sharded database system for performance
- Apply Facebook's approach to database scaling to your own system design
Who Needs to Know This
Database administrators, software engineers, and system designers can benefit from understanding database sharding and replication to improve system scalability and performance
Key Insight
💡 Database sharding and replication can significantly improve system scalability and performance
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🚀 Scale your database like Facebook! Learn about sharding and replication to serve a billion reads per second 💡
Key Takeaways
Learn how Facebook scaled its database to serve a billion reads per second using sharding and replication
Full Article
The Single Database Problem In 2004, Facebook launched. One server. One database. By 2008, they had...
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