API Virtualization for Load Simulation
Budget: $30 – $250 CAD
I’m setting up a dedicated test environment and need an API virtualization layer that can stand in for our real services while we hammer the system with heavy traffic. The goal is purely performance-oriented: simulate sustained high-volume calls so we can observe bottlenecks in upstream components without risking production data or relying on unstable external endpoints. There should be a provisional to add leeway to simulate Latency.
Here’s what I expect:
• A mock or virtualized API that mirrors our existing REST contracts, deployable in Kubernetes.
• Configuration options to ramp concurrent requests into the thousands per second and adjust payload sizes on the fly.
• Clear metrics output (Prometheus, Grafana, or similar) showing request rates, response times and any throttling you implement.
• A short “how-to” document so my team can spin this up, adjust traffic profiles and plug it into our current load-testing suite (we use JMeter and k6).
Here’s what I expect:
• A mock or virtualized API that mirrors our existing REST contracts, deployable in Kubernetes.
• Configuration options to ramp concurrent requests into the thousands per second and adjust payload sizes on the fly.
• Clear metrics output (Prometheus, Grafana, or similar) showing request rates, response times and any throttling you implement.
• A short “how-to” document so my team can spin this up, adjust traffic profiles and plug it into our current load-testing suite (we use JMeter and k6).