Technology
Load Testing
Load Testing simulates real-world user traffic (e.g., 10,000 concurrent users) to measure system performance metrics like response time and throughput, ensuring stability under peak load.
Load Testing is a critical performance engineering discipline: it validates system stability by simulating expected and peak user activity. We use tools like Apache JMeter, LoadRunner, or k6 to model realistic user journeys (e.g., simultaneous logins or checkout processes). The goal is to measure key metrics (response time, transactions per second) and identify bottlenecks *before* production deployment. This proactive approach ensures your application maintains a sub-2-second response time, preventing critical failures like a 503 Service Unavailable error during a major traffic spike (a Black Friday sale, for example).
What builders pair with Load Testing
Projects using both technologies. Select a pairing to see a project.
Pairing: Azure
GPT-RAG Template using Semantic Kernel and Load Testing
Pairing: GPT-RAG
GPT-RAG Template using Semantic Kernel and Load Testing
Pairing: RAG
GPT-RAG Template using Semantic Kernel and Load Testing
Pairing: Semantic Kernel
GPT-RAG Template using Semantic Kernel and Load Testing
Recent Talks & Demos
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