Load testing
How the system behaves under expected normal and peak load.
We simulate GCC-wide traffic peaks to find database lock contention, connection leaks and configuration bottlenecks while there's still time to fix them.
Traffic models built to test how elastic your application really is.
How the system behaves under expected normal and peak load.
Where it breaks, and whether it recovers gracefully.
Memory leaks and slow degradation over long runs.
Sudden, sharp jumps in traffic, like a sale opening.
How well the system scales up or out as requests rise.
Calibrated to the SLAs of Saudi Arabia's leading fintech and SaaS providers.
SAMA fintech standards expect sub-200ms transactions. We check core API latency under load.
Maximum database writes and queue capacity at peak concurrency, with no dropped requests.
No connection pool drop-outs, socket timeouts or 500 errors under extreme concurrency.
We generate millions of realistic virtual users from global and regional GCC data centres. That way CDN caching, regional routing latency and real traffic spikes all show up the way they will on the day.
Emulated topology
50,000 virtual users across regions
Where limits usually show first
Auto-scales under test, so we see how it grows
Three steps, repeated until the numbers hold.
Synthetic runs record response times, system health and database connections at zero load.
Load rises step by step to expose lock contention, latency spikes, memory leaks and hard limits.
Connection pools, threads and load balancers tuned, then re-tested to prove stability.
We simulate real GCC peak events, so your platform performs when everyone is watching.