Solution
Scale your backend without rewrites or runaway cost
We profile, redesign, and re-architect the parts that hurt — caching, queues, sharding, edge — measured against your real workload.
The problem
You hit the wall — latency, cost, or reliability is breaking under load.
The outcome
A backend that handles 10x without 10x cost or 10x pain.
Fit
Who this is for
- Series A+ companies seeing growth pains
- Platforms under sudden load
- Teams whose AWS bill keeps doubling
What you get
- Load profile + bottleneck report
- Targeted re-architecture (caching, queues, sharding, edge)
- Observability for what matters
- Cost-tuned infrastructure
Deliverables
- Workload profile + ranked bottleneck report
- Targeted re-architecture with rollback plan
- Caching layer, queue topology, or shard plan as needed
- SLOs, dashboards, and alerts wired to the right pager
- Cost model showing the savings from the change
How it runs
A clear path from where you are to where you want to be.
Profile
Real workload, not synthetic — where is time and money going?
Diagnose
Root-cause the top 3 bottlenecks with data your team can defend.
Re-architect
Caching, queues, sharding, or edge — the smallest fix that buys 18 months.
Operate
SLOs, alerts, and runbooks so the team owns the new shape.
Services we use here
The building blocks
Each solution stitches together services we already ship in production.
Proof
Recent engagements that shipped this
Enterprise Logistics Platform
Rebuilt a 12-year-old logistics platform without losing a single shipment
Strangler-fig migration to Next.js + Postgres. Zero downtime. 4x faster.
0
Customer-facing incidents during migration
4.2x
Faster page loads
Compliance SaaS Startup
Took a compliance SaaS from idea to first paying customer in 11 weeks
MVP for a compliance SaaS. Built, launched, and paid for in a quarter.
11 wk
From kickoff to first revenue
$48k
First-year ARR signed at launch week
FAQ
Scale your backend — common questions
- Almost never. Most backend scaling problems are caching problems, query problems, or fan-out problems — not language problems. We measure first, then change the smallest thing that fixes the top bottleneck. Rewrites are a last resort, not a first move.
- Every change ships behind a feature flag, in shadow mode where it makes sense, with a rollback path on every PR. We change one boundary at a time and verify it against production traffic before promoting it.
- Usually. Scaling problems and cost problems share a root cause more often than not — over-provisioned databases, chatty services, no caching layer. Most engagements pay for themselves inside the first quarter from cloud savings alone.
Let's get to "a backend that handles 10x without 10x cost or 10x pain".
Tell us where you are today. We'll write back with the smallest engagement that gets you there.