How can I use the Prometheus Python client for advanced metrics?

How can I use the Prometheus Python client for advanced metrics?

You can use the Prometheus Python client to create custom metrics, such as histograms and summaries, to track advanced performance metrics.

Can you give me an example of how to implement a histogram?

Sure! You can create a histogram by using prometheus_client.Histogram. Here's a simple example:

from prometheus_client import Histogram

REQUEST_LATENCY = Histogram('request_latency_seconds', 'Latency of requests in seconds')

@REQUEST_LATENCY.time()
def process_request():
    # Your request processing logic here

What are the differences between histograms and summaries?

Histograms aggregate observations into buckets, allowing you to see the distribution of values, while summaries provide quantiles directly but require more memory.

How can I visualize these metrics in Grafana?

You can visualize Prometheus metrics in Grafana by adding Prometheus as a data source and then creating dashboards using the metrics you've defined.