Key FastAPI monitoring features
Quickly spot when, where, and how frequently errors occur in your FastAPI application. Learn more
Swiftly identify and optimize underperforming areas of your code. Learn more
Be the first to know about FastAPI or anomaly occurrences. Learn more
Create metric dashboards to visually enhance your FastAPI monitoring. Learn more
Why monitor FastAPI?
AppSinal helps ensure your FastAPI application can handle requests gracefully and at scale. AppSignal's Python APM gives powerful insights into your FastAPI application's performance beyond its codebase. AppSignal's error and performance monitoring puts the metric insights required to maintain, build, and scale your FastAPI application at your fingertips. With AppSignal and FastAPI you can answer questions like:
- Why did my router raise an exception?
- Why is my model slow?
- How performant are my routes?
AppSignal FastAPI monitoring helps you
Quickly find and resolve errors raised by your FastAPI application's code.
Ensure all of your FastAPI endpoints respond optimally to requests.
Use AppSignal attributes to tag performance and error samples for easy filtering and fine-tuning insights.
Utilize handy tools like AppSignal's time detective to understand your application's behavior and confidently scale.
Understand your FastAPI application's performance trends within the broader context of your application's stack.
Start monitoring your FastAPI application today
Ready to fine-tune your FastAPI application's performance with AppSignal? Simply sign up, install AppSignal, and follow our Flask documentation to get started!