01
Database & Active Record tuning
Removing query bottlenecks, adding targeted partial indexes and sizing connection pools.
Technologies — Backend & systems
We scale established Ruby on Rails applications by removing N+1 queries, modernizing monoliths and speeding up test suites.
Core capabilities
01
Removing query bottlenecks, adding targeted partial indexes and sizing connection pools.
02
Refactoring background processing pipelines for high-volume asynchronous jobs.
03
Updating legacy jQuery and Sprockets frontends to modern Turbo and Stimulus components.
Use cases
Scaling multi-sided commerce platforms handling seasonal traffic spikes.
Upgrading Rails 5 and 6 applications to Rails 7 and 8 with automated test suites.
How we staff it
Seniority and experience are agreed in the proposal, and you interview every engineer before they start.
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
Technical FAQs
Yes. With proper PostgreSQL tuning, Redis caching layers and background job decoupling, Rails runs some of the largest sites on the web, including GitHub and Shopify.
We use APM tracing tools (Datadog/Skylight) to isolate slow database transactions, view rendering times, and background queue latencies.
Ecosystem
Tell us about your architecture, backlog and team. We'll reply within one business day with an honest read on whether we can help.