How can I use the Prometheus Python client library with Flask?
You can integrate the Prometheus Python client library with Flask by following these steps: 1. Install the library using pip: pip install prometheus_flask_exporter
. 2. Import the library in your Flask app. 3. Initialize the exporter with your Flask app instance. 4. Define metrics and expose them at a specific endpoint.
Can you show me a code example?
Sure! Here's a simple example:
from flask import Flask
from prometheus_flask_exporter import PrometheusMetrics
app = Flask(__name__)
metrics = PrometheusMetrics(app)
@app.route('/')
def hello():
return 'Hello, World!'
if __name__ == '__main__':
app.run()
This will expose metrics at /metrics
.
What metrics can I track with this library?
You can track various metrics such as request counts, response times, and custom application metrics. The library provides built-in metrics like http_requests_total
and http_request_duration_seconds
.
How do I visualize these metrics?
You can visualize the metrics using Grafana or Prometheus itself. Set up a Prometheus server to scrape the metrics from your Flask app, and then use Grafana to create dashboards based on the collected data.
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