Cloud, Security & Operations
Load & Stress Testing
Simulating peak and extreme traffic to confirm systems handle sale days, admission results, tax deadlines and campaign launches, and to find breaking points before real users do.
Capability overview
What load & stress testing involves
Many systems work well on ordinary days and fail at the moments that matter most: a festive sale, exam results publication, a subsidy application deadline, a ticket release or a television advertisement. Load and stress testing simulates those peaks in advance, so capacity, autoscaling and failure handling are proven rather than assumed.
Tests model realistic user behaviour, including think time, journey mix and geographic distribution, using tools such as k6, Apache JMeter, Gatling or Locust, with load generated from cloud infrastructure when volumes are high. Results show the traffic level at which response times degrade, the component that fails first and how the system recovers.
What is included
Test types
Load testing
Expected peak traffic sustained to confirm response times and error rates stay within targets.
Stress testing
Traffic increased beyond expected peaks to find breaking points and observe failure behaviour.
Spike testing
Sudden surges simulated, such as notification-driven traffic, to test autoscaling and queues.
Soak testing
Sustained load over many hours to reveal memory leaks, connection exhaustion and slow degradation.
Capacity planning
Results translated into infrastructure sizing, scaling policies and cost estimates for peak events.
How we work
How we deliver load & stress testing
Workload modelling
Expected users, transactions per second and journey mix derived from analytics and business forecasts.
Script development
Realistic scripts built with dynamic data, sessions and correlation of server responses.
Environment readiness
Production-like environment, monitoring and third-party test agreements confirmed.
Test execution
Load, stress, spike and soak runs executed with system metrics captured.
Findings and retest
Bottlenecks reported with recommendations, then tests repeated after fixes.
Related capabilities
Related capabilities in Quality Engineering & Testing
Security Testing
Security checks built into the QA cycle for every release, including automated SAST, dependency and DAST scans, authorisation test cases and security regression tests, complementing periodic penetration tests.
Web Application Testing
Testing focused on the specific risks of browser-based applications, including forms, sessions, file uploads, responsive layouts, accessibility, browser behaviour, caching and search-visible content.
Mobile Application Testing
Testing Android and iOS apps on real devices and emulators, covering functionality, interruptions, network conditions, permissions, battery and memory use, app store requirements and automation with Appium or native frameworks.
Compatibility Testing
Checking that web and mobile applications work consistently across browsers, operating systems, devices, screen sizes, assistive technologies and configurations your users actually have.
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Questions & answers
Questions about Load & Stress Testing
Cannot find what you need? Our team responds to technical and commercial questions within one business day.
Ask a questionIdeally four to six weeks, leaving time to fix bottlenecks and retest. A final confirmation test close to the event checks that recent changes have not reduced capacity.
Yes. Payment gateways, SMS providers and partner APIs are usually virtualised or tested only with their agreement, because unannounced load can breach their terms.
No. Autoscaling may react too slowly, databases may not scale in the same way and limits or configuration errors often appear only under real load.
Fixed price based on the number of journeys, target load, test types and retest cycles. Load generation infrastructure costs are included in the estimate.
Next step
Discuss load & stress testing with Acmez
Share what you need to change, build, integrate or support. We will map the practical next step.