Scaling Relational Databases: Sharding, Partitioning, and Caching

Databases are critical bottlenecks. Scaling requires partitioning large tables, sharding databases across servers, and implementing Redis caching.

Advanced Database Tuning

We implement indexing keys, configure read/write replication pools, and deploy Redis structures to handle high transactional traffic.

  • Table Partitioning: Splitting large tables by date ranges.
  • Database Sharding: Distributing datasets across servers.
  • Redis Caching: Offloading database queries for persistent records.
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