Validate how systems behave before production does it for you.
A practical toolkit for simulating real-world demand — from steady-state load to sudden spikes and long-running endurance runs.
What is load testing?
Load testing is the practice of simulating real or expected user demand against a system to see how it behaves before actual users do. It’s one of the most direct ways to validate performance requirements: does the system meet its latency and throughput targets under normal traffic, and how does it degrade as that traffic grows?
Load testing sits alongside related techniques — stress testing, spike testing, soak testing, volume testing, and scalability and capacity testing — each simulating a different shape of demand to surface a different class of failure, from short-lived spikes to slow leaks that only show up after hours of sustained traffic.
Explore Load Testing.
A closer look at the topics that make up this pillar. Each one links out to a dedicated guide.
Load Testing
The baseline practice of simulating expected user demand against a system.
TopicStress Testing
Pushing a system past its limits to see how — and where — it breaks.
TopicSpike Testing
Simulating sudden, sharp increases in traffic to test elasticity.
TopicSoak Testing
Running sustained load over extended periods to surface slow leaks and drift.
TopicVolume Testing
Testing system behavior against large volumes of data, not just traffic.
TopicScalability Testing
Measuring how performance changes as load and resources scale.
TopicCapacity Testing
Determining the maximum load a system can handle before degrading.
Test load before your users do.
From baseline load tests to endurance runs, build confidence in how your systems behave under pressure.
