Is Your API Ready for 10,000 Requests per Minute? – A Load-Testing Checklist
Your API crashed during a product launch, losing 30% of users. A competitor prepared better and scaled smoothly. This checklist helps you test your API for 10,000 requests per minute in 2025.
TL;DR
Ensure your API handles 10,000 requests per minute in 2025 with this load-testing checklist—avoid 50% downtime, all in 40 seconds.
Introduction
Your API crashed during a product launch, losing 30% of users. A competitor prepared better and scaled smoothly. This checklist helps you test your API for 10,000 requests per minute in 2025.
Key Point 1: Define Performance Goals
Set targets: 200ms response time, 99.9% uptime. Clear goals reduce failure rates by 40%. Outcome: Meet user expectations during peak traffic.
Key Point 2: Simulate Load with Tools
Use JMeter to simulate 10,000 requests/min. A SaaS API identified bottlenecks, improving response time by 30%. Outcome: Fix issues before launch, saving 20% on downtime costs.
Key Point 3: Monitor and Scale
Use AWS Auto Scaling and monitor with Datadog. Tool: Try JMeter for load testing. Pitfall: Don’t skip caching—missing Redis can slow responses by 50%.
Summary
Follow this checklist—set goals, simulate load, and scale—to ensure your API handles 10,000 requests per minute in 2025.
FAQ
How long does implementation take? – 1–2 weeks for testing and scaling.
What does it cost? – $2,000–$10,000 for tools and infrastructure.
Do I need a dedicated specialist? – A DevOps engineer ensures accurate testing.
