Scale-Up
Your product found its users, and now it buckles under them. Pages crawl, the database is the bottleneck, and every traffic spike is a fire drill. I find where it actually breaks under load and fix it: profiling, caching, database and query optimization, and the architecture changes that let it handle ten to a hundred times the traffic, without a rewrite.
- Price
- On request
- Duration
- 1–3 weeks
- Category
- Core
- Deliverables
- 7
Your product works. Now make it handle 100x the load.
Scaling problems are rarely where teams think they are. The instinct is to add servers; the reality is usually one unindexed query, an N+1 loop, a missing cache, or a synchronous call that should be a queue. Throwing hardware at it burns money and buys weeks. Finding the real bottleneck buys years. This is measurement-first engineering, and it is the discipline behind the production systems I run.
The full scope.
Load and performance profiling against realistic traffic, not guesses
Database and query optimization: indexes, N+1 elimination, connection pooling
Caching strategy: what to cache, where, and how to invalidate it safely
Async and queueing where synchronous calls are the bottleneck
Horizontal scaling and statelessness where it actually helps
Load tests you can re-run, so you know the ceiling before your users do
A written capacity plan: what breaks next, and at what scale
From kickoff to ship.
Days 1–3, Measure: I profile the system under realistic load and hand you a ranked list of the actual bottlenecks. You get this even if we stop here.
Days 4–10, Fix: highest-impact bottlenecks first, database, caching, async, each change measured before and after so the gain is proven, not hoped.
Days 10+, Prove and hand over: a re-runnable load test, a capacity plan, and a walkthrough so your team owns the ceiling.
You should book this if…
Products with real traction that now slow down or fall over under load
Teams told to add more servers who suspect the problem is deeper
Founders heading into a launch, a campaign, or a seasonal spike
German SMEs can often fund part of this
This kind of engagement is frequently eligible for BAFA consulting funding (up to 50%) and, in NRW, the MID programme. Public funding runs through 2026. You apply, eligibility depends on your company; I'll point you to the right programme on the call.
01My app slows down as we grow. Where do you even start?
With measurement, not guesses. In the first three days I profile the system under realistic load and give you a ranked list of the actual bottlenecks, which is almost never where teams assume it is. You keep that assessment even if we stop there.
02Can't we just add more servers?
Sometimes, but usually not. The bottleneck is typically one unindexed query, an N+1 loop, a missing cache, or a synchronous call that should be a queue. More servers mask that, burn money, and buy weeks. Fixing the real cause buys years, and often costs less.
03Do you have to rewrite it to make it scale?
Almost never. Scaling work is targeted: indexes, caching, async, and the few architecture changes that actually move the number. I keep the product recognisable to the people who built it. If a rewrite genuinely is the right call, I will say so in the audit.
04How do we know it actually worked?
Every change is measured before and after, so the gain is proven, not hoped. You finish with a re-runnable load test and a written capacity plan, so you know your ceiling before your users find it.
Still unsure whether this is the right shape of work?
Book a call