We find where your system breaks before your users do. Load, stress, endurance, and spike testing against real-world demand.
Performance testing measures how a system behaves under load: response times, throughput, and where it breaks. We run load tests, stress tests, and endurance tests before your users find the limits first. Projects we test range from e-commerce platforms handling Black Friday traffic to financial APIs processing hundreds of concurrent transactions per second.
A page that takes 3 seconds to load has already lost more than half its visitors. A system that handles 50 concurrent users fine can fall over at 200 on launch day.
Performance testing doesn't exist to generate reports. It exists to make sure your users never experience the limit of your infrastructure — not on launch day, not during a campaign spike, not six months after go-live when a memory leak starts degrading response times.
spriteCloud simulates real-world demand against your application before that demand becomes a live incident. The findings are specific, the recommendations are actionable, and the results are reported in plain language.
of mobile users abandon a page that takes over 3 seconds to load
// Google / SOASTA researchin conversion rate for every 1-second delay in page load time
// Akamaiof added latency cost Amazon an estimated 1% in sales. Performance is not a technical footnote.
// Amazon internal researchPerformance testing isn't one thing. Choosing the wrong type means answering the wrong question. Here's what each test tells you, and when you need it.
Simulate your typical user volumes across a realistic usage pattern. Validates baseline performance, sets your benchmark, and confirms your system is ready for the traffic levels you're planning for. The starting point for any pre-launch sign-off.
Push beyond normal capacity until the system fails or degrades. Identifies your absolute ceiling and tells you whether the application crashes hard or degrades with notice — two very different outcomes when you're on a live platform.
Run sustained load for hours or days. Surfaces the memory leaks, resource depletion, and gradual degradation that are completely invisible in short-duration load runs, showing up only after the application has been under pressure long enough.
Simulate a sudden, sharp increase in concurrent users: the kind that happens on a product launch, a viral post, or a media appearance. Validates auto-scaling behaviour and identifies failure points at the edge of burst traffic before they reach production.
Across hundreds of load tests, the same failure patterns emerge. Most performance problems aren't random — they cluster around a handful of areas. Here's where we look, and what we consistently find.
Slow or un-indexed queries that only surface under load. N+1 patterns that look fine in development but multiply into serious latency when concurrency rises.
Internal services and external APIs that become critical-path bottlenecks under concurrent load. Rate limits and timeouts that don't exist in unit test environments.
Cache misses routing traffic to origin servers. Static assets not properly distributed. Misconfigured headers causing unnecessary origin hits or stale content at scale.
Objects and connections that aren't properly released, causing gradual performance degradation that's invisible in short runs but clear in endurance tests after several hours.
Concurrency bottlenecks in application servers and database layers. Connection limits that silently queue requests until response times spike without warning under load.
Auto-scaling groups that can't respond fast enough to absorb burst traffic. Cloud resources provisioned for average load rather than peak. The gap between your architecture and your traffic profile.
citizenM needed confidence that their full mobile customer journey — from room search to booking confirmation to in-stay services — could handle global demand at peak. spriteCloud designed and ran realistic load across every critical path in the booking flow, identifying bottlenecks in the API layer and session management before they could affect live guests.
Define which user flows, which endpoints, what concurrency targets, and what a passing result looks like. Agreed before writing a line of script.
Build realistic test scripts that mirror actual user behaviour: think time, session handling, authentication flows, and realistic data payloads. No synthetic shortcuts.
We run the tests from infrastructure that matches production, capturing response times, error rates, and throughput under controlled, repeatable conditions.
Findings in plain language, tied to business impact. After fixes, we retest and confirm they held.
Tell us what you're building and your launch date. We'll recommend the right test type and give you a clear scope within a day.