How can I improve the performance of my Python application using Prometheus metrics?

How can I improve the performance of my Python application using Prometheus metrics?

You can enhance performance by instrumenting your code with Prometheus metrics to monitor key performance indicators.

What specific metrics should I track for better performance?

Focus on tracking request latency, error rates, and resource usage metrics like CPU and memory.

How do I implement these metrics in my Python code?

You can use the prometheus_client library to define and expose metrics in your application.

Can you provide a code example for tracking request latency?

Sure! Here's a simple example:

from prometheus_client import Histogram

REQUEST_LATENCY = Histogram('request_latency_seconds', 'Request latency in seconds')

@REQUEST_LATENCY.time()
def handle_request():
    # Your request handling logic here