5 Ways to Prepare Your App for High-Traffic Events
Category: Performance Testing
By Qualiview Lab Team
August 23, 20255 min read
From load balancing to caching strategies, these best practices ensure your app stays online during peak demand.
At Qualiview Lab, we've seen first-hand how AI transforms not just testing speed, but the very way QA teams operate.
The Rise of AI in QA
For decades, software testing has relied heavily on manual processes and scripted automation. While effective, these methods often struggled to keep pace with rapid release cycles.
Benefits of AI-Driven Testing
- Speed & Efficiency: AI automation reduces regression testing time from days to hours.
- Smarter Test Coverage: Machine learning models identify high-risk areas of your application.
- Early Bug Detection: AI-driven code analysis detects potential issues before they hit production.
"AI can’t replace human testers — it amplifies their abilities."
Conclusion
AI is no longer a futuristic add-on — it's becoming the backbone of modern QA strategies.