How can I create a metrics dashboard using Prometheus and Python?
You can create a metrics dashboard using Prometheus by first setting up a Python application that exposes metrics via an HTTP endpoint. Then, configure Prometheus to scrape these metrics.
What libraries do I need to use in Python for this?
You can use the prometheus_client
library to expose metrics in your Python application. It provides easy-to-use functions for defining and serving metrics.
Can you give me a simple code example?
Sure! Here's a basic example:
from prometheus_client import start_http_server, Summary
# Create a metric to track
REQUEST_TIME = Summary('request_processing_seconds', 'Time spent processing request')
@REQUEST_TIME.time()
def process_request():
# Simulate a request processing time
time.sleep(1)
if __name__ == '__main__':
start_http_server(8000)
while True:
process_request()
How do I visualize the metrics in a dashboard?
You can use Grafana to visualize the metrics collected by Prometheus. Simply add Prometheus as a data source in Grafana and create dashboards using the metrics you've defined.
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