Distributed Load Testing with k6 & AWS CloudWatch

Pushing Infrastructure to Its Limits: Distributed Load Testing with k6 & AWS CloudWatch Scaling systems and finding their true breaking points is where real engineering happens. Today, we ran an intense Distributed Load Testing (DLT) session on our architecture to see how it handles massive traffic spikes. Here is a quick snapshot of what we tested and monitored: The Load: Pushed massive concurrency scaling up to 25,000 Virtual Users (VUs) using k6, generating tens of thousands of requests per minute. The Infrastructure: Monitored real-time performance metrics via AWS CloudWatch Dashboards (tracking Nginx request counts, CPU utilization, latency p95, and queue depth). The Engineering Takeaway: Pushing extreme loads from a single machine quickly hits client-side bottlenecks (like buffer limits or OOM errors). Scaling this across distributed generators is key to simulating true high-concurrency traffic without crashing your test node! Nothing beats watching live telemetry spike in CloudWatch and fine-tuning your system's resilience under pressure. How do you handle stress testing and performance tuning in your infrastructure? Let’s discuss in the comments!