Database Optimization & Caching
Cut response times and increase throughput with better schema design, query optimization, indexing, and robust caching strategies.
Fast, Reliable Data Access
With 28+ years optimizing databases, we make queries fast and predictable under load.
Why Our Database Work?
We approach performance holistically: schema, queries, caching, and infrastructure.
Database Services
From schema to cache, optimize end-to-end.
Schema & Indexing
- Covering indexes
- Partitioning
- Cardinality planning
Query Optimization
- EXPLAIN plans
- N+1 elimination
- Connection pooling
Caching & Monitoring
- Redis patterns
- Cache invalidation
- Slow query dashboards
Frequently Asked Questions
Answers about queries, indexing, and caching.
How do you optimize slow queries?
We analyze query plans (EXPLAIN), add or adjust indexes, remove N+1 patterns, denormalize where appropriate, and redesign queries to leverage covering indexes and reduced cardinality scans.
What caching strategies do you implement?
We use application-level caching with Rails.cache (per-request, per-resource), query result caching, Redis for hot keys, cache invalidation strategies, and HTTP caching when applicable. We also ensure cache stampede protection and proper TTLs.
Do you support sharding or read replicas?
Yes. We can introduce read replicas for heavy read workloads, split read/write connections, and plan sharding/partitioning strategies for very large datasets, with eventual consistency considerations where needed.
How do you prevent regressions?
We establish performance budgets and dashboards, add query performance tests where beneficial, and monitor P95 database timings with alerts to catch regressions early.
Ready To Tune Your Database?
Schedule a deep-dive to diagnose slow queries and build a caching plan.