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Database Scaling: From Single Instance to Global Distribution
2024-12-05·12 min read
Database scaling is often the biggest bottleneck in growing applications. Understanding the progression of scaling strategies helps you plan ahead without over-engineering.
Start with vertical scaling — bigger machines. Then add read replicas for read-heavy workloads. Connection pooling with PgBouncer reduces connection overhead. When you hit the limits of a single primary, consider horizontal sharding.
Caching layers with Redis dramatically reduce database load. For global applications, consider multi-region deployments with tools like CockroachDB or Vitess.
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