Deploy. Secure. Scale.
Scale: faster queries, lower latency, room to grow
Growth surfaces bottlenecks: slow queries, N+1s, missing indexes, saturated connections. We profile the system, fix the hot paths, tune the database, add caching and scale the infrastructure — and report before/after numbers.
Fixed scope · Hours or days, not weeks · Tracked in your portal
Outcomes
What “scale” means in practice
- Slowest queries found and fixed
- Database tuned for your hardware
- Caching where it pays off
- Before/after benchmarks, not guesses
What we cover
Scale: the work involved
- Query optimization
- Slow-query analysis, indexes, rewrites and N+1 fixes for PostgreSQL and MySQL — with before/after timings.
- Database tuning
- Configuration sized for your hardware, connection pooling (e.g. PgBouncer) and vacuum/maintenance settings.
- Caching
- Redis and HTTP caching for hot paths, so the database only does the work it has to.
- Scaling infrastructure
- Read replicas, bigger or cheaper servers, or splitting services — whatever the numbers justify.
Services
Scale services
Browse our fixed-scope services, or tell us about your setup and we'll recommend the right one.
Browse servicesFAQ
Common questions
Can you guarantee a speed-up?+
We guarantee the analysis and the fixes, with measured before/after results. Some slowness is architectural — when it is, the report says so and explains the options.
Do you need access to production data?+
Slow queries only show up at real data sizes, so we need read access to production or a realistic copy. Schema changes run in a maintenance window, after a backup.
Which databases do you optimize?+
PostgreSQL and MySQL/MariaDB, plus Redis for caching. For data warehouses like BigQuery, send a custom request.
The full lifecycle