Scaling that doesn't mean 'add more servers'
Query optimisation, bundle splitting, caching, infra consolidation. Users feel faster responses, you pay a smaller monthly bill.
Symptoms
Typical scaling problems
Slower responses
User base 10x'd, API got 2x slower. Database queries block, and no one knows which ones.
Spiralling infra cost
AWS / Vercel bill grows 15-25% month over month. Autoscaling is too aggressive, or the architecture isn't cost-efficient.
Memory leaks and crash spikes
One or two OOM crashes a week in production. APM flags it but no one finds the root cause.
Slower deploys and DX
Builds grew from 3 to 25 minutes. The test suite runs 90 minutes. Engineers slow down — and get frustrated.
Process
How we work
Profiling
APM, query profiler, Lighthouse, bundle analyser. Bottlenecks measured, not guessed.
Quick wins
Top 5 low-effort, high-impact fixes in 1-2 weeks — often 40-60% response-time reduction.
Refactor
Deeper issues (architecture, data model) handled in 2-4 week mini-projects.
Monitoring
Continuous watch, alerting, regression prevention. The fix stays fixed.
Output
Scaling project deliverables
- Profiling report: top 10 bottlenecks with before / after measurements
- Implemented fixes: query optimisation, bundle splitting, caching layer
- Infrastructure cost audit: where and how much can be saved
- Monitoring setup: SLOs, alert rules, dashboards for key metrics
- Refactor backlog: the next six months of technical work, prioritised
- Knowledge-transfer session: your team continues independently
Tooling
Scaling stack
Profiling, observability and optimisation tools.
- Datadog
- Sentry
- Vercel Analytics
- PostgreSQL EXPLAIN
- Redis
- Cloudflare
- k6
- WebPageTest
- Bundle Analyzer
- OpenTelemetry
Timeline
Scaling project flow
Phase 01
Profiling
1-2 weeks
Measurement, bottleneck discovery, prioritisation.
Phase 02
Quick wins + refactor
4-8 weeks
Iterative fixes with fortnightly reviews.
Phase 03
Monitoring + handover
1-2 weeks
Alerting setup, knowledge transfer.
Pricing
Scaling packages
Project-based or retainer — depending on your team's capacity.
Performance audit
€0,0
2 weeks
Performance-focused deep profiling: bottleneck identification at query/endpoint level + infra cost audit. Prioritized backlog for your team. Implementation in a separate scope.
- Deep profiling + bottleneck identification
- Prioritized fix backlog at query/endpoint level
- Infra cost audit (cloud / DB / CDN)
Quick wins sprint
from €0,0
4 weeks
Audit plus top-5 fixes implemented plus monitoring.
- Audit + top 5 fixes
- Monitoring setup
- Knowledge transfer
Retainer
€0,0-7,500 / mo
monthly
Continuous watch plus ad-hoc fixes. Ideal for products in active growth.
- 20-40 hours per month
- Slack priority queue
- Quarterly review
FAQ
Frequently asked
30-minute scaling call
We'll look at your current measurements, discuss bottlenecks, and outline a prioritised roadmap.