# Flask Error Monitoring

> Track Flask performance issues back to code-related errors with Flask error & performance monitoring. Get started for free with Sentry here.

**URL:** https://sentry.io/for/flask/

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Actionable insights to resolve Flask performance bottlenecks and errors. Improve your monitoring workflow with a full view of releases so you can mark Flask errors as resolved and prioritize live issues.

**Documentation:** [https://docs.sentry.io/platforms/python/integrations/flask/](https://docs.sentry.io/platforms/python/integrations/flask/)

## Install

Install `sentry-sdk` from PyPI with the `flask` extra:

```bash
pip install --upgrade 'sentry-sdk[flask]'
```

Configure your DSN:

```python
import sentry_sdk
from flask import Flask
from sentry_sdk.integrations.flask import FlaskIntegration

sentry_sdk.init(
    dsn="https://<key>@sentry.io/<project>",
    integrations=[FlaskIntegration()],

    # Set traces_sample_rate to 1.0 to capture 100%
    # of transactions for Tracing.
    # We recommend adjusting this value in production,
    traces_sample_rate=1.0
)

app = Flask(__name__)
```

See the [Flask docs](https://docs.sentry.io/platforms/python/integrations/flask/) for full setup options.

## Features

### Flask Performance Monitoring

Within minutes after installing Sentry, software teams are able to trace Flask [performance](https://sentry.io/for/performance/) issues back to a poor performing API call as well as surface all related code errors. Engineering Managers and Developers now have a single tool to optimize performance of their code and deliver fast customer experiences with Performance Monitoring.

### Flask Error Monitoring with Complete Stack Traces

See local variables in the stack for prod errors, just like in your dev environment. Introspect more deeply into the runtime and jump into the frame to get additional data for any local variable. Filter and group Flask exceptions intuitively to eliminate noise.

### Fill In the Blanks About Flask Errors

Expose the important events that led to each Flask exception: SQL queries, debug logs, network requests, past errors. Learn in which version a bug first appeared, merge duplicates, and know if things regress in a future release.

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*Source: [sentry.io/for/flask/](https://sentry.io/for/flask/)*