Backend Performance for High-Load Systems
We load-test, profile, and gate your backend: API, database, queues, and caches. Every engagement ends with a GO / CONDITIONAL / NO-GO verdict and leaves the tooling in your repo.
Speed = revenue
Deloitte × Google researchMilliseconds make millions.
A 0.1-second improvement in mobile site speed has a direct, measurable effect on conversion, average order value, and session depth. In the AI era, the same logic expands: latency, inference cost, and reliability become one business metric.
- Retail8.4%conversionAverage order value grew by 9.2% from the same 0.1s mobile speed gain.
- Travel10.1%conversionAverage order value grew by 1.9% — every faster funnel step sells more.
- Luxury8.6%pages per sessionEngagement and browsing depth rise without spending on extra traffic.
- Lead Gen8.3%bounce rateInfo pages hold visitors longer and stop leaking qualified leads.
What to do next
Three moves to turn speed and AI cost into revenue
The report-style Deloitte logic still holds: know the status, set the budget, then build the culture. The modern scope now includes infra, AI workloads, and release gates.
- 01
Know your speed status
Where you stand in absolute numbers and against competitors — across real mobile journeys, APIs, inference paths, and user-facing flows.
- 02
Introduce a performance budget
Hard budgets for LCP, TTFB, JS weight, request SLOs, and unit cost — wired into CI/CD and release gates, not just nice goals.
- 03
Make speed and unit economics first-class KPIs
Speed, reliability, and cost per useful transaction as primary metrics for leadership, product, engineering, marketing, and finance.
Source: Deloitte Ireland × Google — "Milliseconds Make Millions", 2020. Data collected by Fifty-Five over 4 weeks across retail, travel, luxury, and lead-generation brands in Europe and the US. The study isolates speed as the single performance variable.
Eliminate Performance Bottlenecks
Find What's Slowing You Down
Slow APIs, database queries, and infrastructure issues compound as you add features, frustrating users and degrading the product experience.
Deep analysis identifies exact bottlenecks and fixes them at the source. We optimize database locks, implement intelligent caching, and streamline high-throughput pathways.
- Narrow lock scope in order commit
- Batch orders.find (N+1)
- Warm the cache before campaign start
Know Your Breaking Point Before Launch
Prepare for 10x Growth
Most systems break under load without proper planning. Sudden spikes in traffic bring down services, corrupt data, and cause major outages.
We stress-test and architect for scale. By introducing resilient patterns, horizontal scaling policies, and bulletproof failovers, your system stays up when it matters most.
Stop Regressions at the Pull Request
Performance Gates That Stay After We Leave
Performance regressions ship quietly. A slower query or a new N+1 passes code review and only shows up when p99 doubles in production.
LaunchGate runs k6 against your SLOs on every pull request and blocks the merge on regression. Thresholds live in slo.yaml in your repo, so the gate keeps working after the engagement ends.
Simulate Concurrency, Latency & Optimization ROI
Explore real-time latency distribution, compute waste, and business impact under traffic spikes.
Ready to Load-Test Your Backend?
Twenty minutes. Bring a system and a question. Leave with a signal, a number, and an owner.