💪 How Load Testing Made Our System Bulletproof (and What I Learned)

When you’re a Senior Developer, your job goes beyond writing features — it’s about ensuring the system doesn’t collapse when real users arrive.

That’s exactly why I recently took ownership of load testing our APIs.
The goal was simple: make sure our backend stays solid under pressure.


🚦 Designing the Test Strategy

I created three distinct test strategies, each reflecting a different real-world scenario:

🔹 Sequential (run_all.sh) — runs each module one by one.
👉 Perfect for initial stability testing and identifying isolated issues.

🔹 Hybrid (run_all_hybrid.sh) — runs grouped modules with minimal recovery time.
👉 Simulates realistic traffic where users interact in short bursts.

🔹 Parallel (run_all_parallel.sh) — fires all modules simultaneously, simulating ~1200 users. 🚀
👉 The ultimate stress test to measure system endurance.

Each strategy gave us a unique view of how our infrastructure behaves under load — from normal usage to chaos mode.


📊 The Results

After running the tests using k6, InfluxDB, and Grafana, here’s what we observed:

Core APIs (Jobs, E-commerce, Notifications) — handled pressure beautifully.
⚠️ Profile APIs — started showing latency spikes of 17s+ during peak load.

That’s when the real learning began.



 

💡 Key Takeaways

Every slowdown told us why the system behaved the way it did.
Here are the immediate action items we identified:

  1. Optimize database pooling — to reduce connection overhead.
  2. Implement caching layers — for frequently accessed resources.
  3. Scale infrastructure dynamically — based on real traffic metrics.

These insights helped us transform “potential failures” into clear improvement paths.

🧠 Lessons Learned

What I loved most about this exercise?
👉 Every failure was a signal, not a setback.

Load testing isn’t about breaking the system — it’s about learning where it breaks.
And that’s what builds resilience and user trust.

Because great user experience isn’t built on assumptions — it’s built on preparation.

⚙️ Tech Stack

🧩 Load Testing Tool: k6.io
📊 Metrics Dashboard: Grafana + InfluxDB
💻 Scripts: Bash (run_all.sh, run_all_hybrid.sh, run_all_parallel.sh)

If you’re curious about the technical setup — scripts, dashboards, or monitoring tips — drop a comment or connect with me.
Happy to share the insights and scripts!


#LoadTesting #PerformanceEngineering #DevOps #SystemResilience #BackendDevelopment #Grafana #InfluxDB #k6 #Scalability #Microservices #BackendOptimization #msrajawat298


Post a Comment

Previous Post Next Post