performance-testing

Automate load testing by orchestrating simulated user traffic with k6, analyzing metrics like response time and error rates to pinpoint CPU, memory, and database bottlenecks. This validates system stability and provides actionable optimization recommendations.

Validate application performance against SLAs by running stress and endurance tests that measure throughput and response times. The testing process analyzes these metrics against your defined thresholds to confirm compliance under expected and unexpected loads.

Stress testing improves scalability by simulating peak demand, such as 10,000 concurrent users, to test application limits. It identifies system bottlenecks and ensures the application remains responsive and stable under heavy load.

Yes, you can use k6 to run endurance tests that simulate sustained user traffic over extended periods. This analyzes metrics like error rates and response times to detect performance degradation and validate system resilience.

High error rates during peak traffic occur when system bottlenecks in CPU, memory, or network resources are exceeded. Running a load test identifies these specific constraints and provides recommendations to optimize application scalability.

Defining SLA thresholds before performance testing is necessary to validate results. You set target metrics like a p95 response time below 200ms, then the test analyzes actual throughput and error rates against those defined Service Level Agreements.