The app is fast in dev and staging but slows to a crawl under real production traffic.
Service
Performance testing that finds your breaking point before your customers do.
We simulate real traffic and load conditions against your system to find bottlenecks, latency spikes, and capacity limits before a launch or peak event exposes them. Discovery defines the traffic model from your actual usage patterns, not generic assumptions.
- Baseline & goalsDefine acceptable response times and capacity targets
- 02Traffic modelingRealistic load scenarios from usage data
- 03Load & stress testingJMeter scripts against staging or prod-like environments
- 04Bottleneck analysisPinpoint slow queries, services, or infrastructure limits
- 05Retest & reportValidate fixes and confirm capacity
What this service helps you solve
You have a launch, sale, or marketing push coming and no idea what traffic level will break the system.
Response times degrade slowly as usage grows and no one can pinpoint which service or query is the bottleneck.
What’s included
How the service works
- 01
Define performance goals and acceptable thresholds
- 02
Model realistic traffic based on your actual usage data
- 03
Run load and stress tests with JMeter against a staging environment
- 04
Analyze results to pinpoint bottlenecks
- 05
Report findings with prioritized fix recommendations
- 06
Retest after fixes to confirm the system holds
Roles that may support this service
Discovery comes before every reliable statement of work.
Before we recommend roles, timelines, or pricing, we need to understand your goals, technology stack, product situation, scope, risks, and constraints. Discovery helps us align expectations and create a realistic statement of work.
- Business goals
- Product goals
- Technology stack
- Current situation
- Required roles
- Timeline expectations
- Budget expectations
- Risks and unknowns
- Success criteria
Questions about this service
Almost always staging or a prod-like environment, sized to match production as closely as possible. We only test against live production with explicit sign-off and safeguards, since load testing can itself cause an outage if it's not carefully scoped.
Yes, that's the point of the engagement. We correlate load test results with application, database, and infrastructure metrics to point at the specific service, query, or resource limit causing the slowdown, not just report a response-time number.
Performance testing before a known launch or traffic event is usually a fixed-scope engagement with a hard deadline. Tell us the date during discovery and we'll scope a plan that fits, prioritizing the highest-risk paths first if time is tight.