Why FastAPI Apps Slow Down Over Time (Low CPU, High Latency Explained)
📰 Dev.to · Ayush Kumar
Learn how to identify and fix common issues that slow down FastAPI apps over time, such as session leaks and blocking code, to improve performance and reduce latency
Action Steps
- Identify potential session leaks in your FastAPI app using tools like memory profilers
- Analyze your code for blocking operations that can cause high latency
- Apply asynchronous programming techniques to non-blocking code
- Configure connection pooling to reduce database query overhead
- Test and monitor your app's performance regularly to catch issues early
Who Needs to Know This
Backend developers and DevOps engineers can benefit from this knowledge to optimize and troubleshoot their FastAPI applications, ensuring high performance and reliability
Key Insight
💡 Session leaks and blocking code can cause high latency in FastAPI apps despite low CPU usage, and can be fixed with async programming and connection pooling
Share This
🚀 FastAPI apps slowing down? Check for session leaks & blocking code! 🚀
Key Takeaways
Learn how to identify and fix common issues that slow down FastAPI apps over time, such as session leaks and blocking code, to improve performance and reduce latency
Full Article
Why FastAPI apps slow down over time: how session leaks and blocking code cause high latency while CPU stays low, and how to fix it for good.
DeepCamp AI