Slow queries, N+1 storms, a Sidekiq pipeline that falls over at month-end, an AWS bill that grew teeth — Levelbrook diagnoses the real bottleneck and fixes it. Proven on a multi-tenant Rails SaaS with 800-million-row tables, billed as a scoped project or staff augmentation.
Rails performance engineering goes wrong when someone starts rewriting before they've measured. Levelbrook works the other way: profile the real workload, find where the time and money actually go, then fix the specific thing — usually a query, an index, a job, or an access pattern — rather than embarking on a speculative rewrite.
This is grounded in real production work: a multi-tenant Rails SaaS in the $5–15M ARR range, where the database had 800-million-row tables and the AWS bill needed taming. The patterns that matter at that scale are the same ones that quietly slow down a smaller app — they just hurt sooner.
Most performance work is a fixed-scope project: a diagnosis phase that produces a prioritized findings list, then implementation against the highest-value fixes. If the work is ongoing, it can run as staff augmentation instead. Either way it's billed corp-to-corp through Levelbrook LLC with clean paperwork on day one.
Read the Postgres query plans, find the table scans and missing indexes, and fix the queries that dominate your latency budget.
Systematically surface every N+1 across the app — not one bug report at a time — and eliminate them with proper eager loading.
Sidekiq pipelines rebuilt for reliability, idempotency, and throughput, so the month-end batch stops paging you at 3am.
S3 tiering by access pattern, RDS right-sizing, and the cleanup that shrinks a bill without breaking a single workflow.
Usually a fixed-scope project: a diagnosis phase with a prioritized findings list, then implementation. Ongoing work can run hourly as staff augmentation. All billed C2C through Levelbrook LLC.
Almost never. The goal is to fix the specific bottleneck — a query, an index, a job, an access pattern — with the smallest safe change. Rewrites are a last resort, recommended only when the data justifies it.
A multi-tenant Rails SaaS with 800-million-row tables, in the $5–15M ARR range — including N+1 audits across hundreds of sites and a roughly 60% cut to an S3 line item.
Yes. We can hand off a findings list for your team to implement, pair with them, or own the fixes end to end — whatever fits your capacity.
Typically within the week. Send a brief describing the symptoms and the stack and you'll get an honest read within one business day.
Describe the symptoms and the stack. You'll get an honest read on what's likely wrong and how we'd scope the fix within one business day.