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Database Design & Optimization
Handle growth with replication and sharding
Scale databases to handle millions of users and billions of records. Master-replica replication, read replicas, connection pooling, and sharding strategies f...
Applications outgrow single-server databases. We implement database scaling solutions including read replicas for distributing query load, master-replica replication for high availability, connection pooling to handle thousands of connections, and horizontal sharding when vertical scaling reaches limits. Our scaling strategies use PostgreSQL streaming replication, MySQL replication, PgBouncer/ProxySQL for connection pooling, and application-level or database-level partitioning for sharding massive datasets.
Everything you need for success
How we work with you
Analyze current load and growth projections
Design scaling approach for your needs
Set up replication, pooling, or sharding
Load test to verify scaling works
Deploy with monitoring and failover
Fine-tune based on production metrics
What you'll achieve
Handle 10x-100x more traffic
Distribute read load across replicas
High availability with automatic failover
Reduced query response times
Handle millions of concurrent connections
Future-proof for continued growth
Everything you need to know
Copying data from master database to one or more replicas. Replicas handle read queries, reducing load on master. Provides high availability—if master fails, replica can be promoted. We set up streaming replication for near-real-time sync.
When reads outnumber writes significantly (80%+ reads), database CPU/memory is maxed from read queries, or you need geographic distribution. Replicas handle SELECT queries while master handles writes.
Splitting large dataset across multiple databases. Example: users 1-1M on shard 1, users 1M-2M on shard 2. Allows horizontal scaling beyond single-server limits. Complex to implement—we use when vertical scaling exhausted.
PostgreSQL: typically 100-400 active connections. MySQL: 150-1000. With connection pooling (PgBouncer), we can handle 10,000+ application connections routing to 100 database connections efficiently.
Let's discuss your project and how we can help you achieve your goals.