How can I visualize Prometheus metrics using Python and Plotly?

How can I visualize Prometheus metrics using Python and Plotly?

You can use the prometheus_api_client library to fetch metrics from Prometheus and then use Plotly to create visualizations.

Can you show me a code example for fetching metrics?

Sure! Here's a simple example:

from prometheus_api_client import PrometheusConnect

prom = PrometheusConnect(url="http://your-prometheus-url", disable_ssl=True)
metrics = prom.get_current_metric_value(metric_name='your_metric_name')

How do I plot these metrics using Plotly?

You can convert the metrics to a DataFrame and then use Plotly's px.line to create a line chart. Here's an example:

import pandas as pd
import plotly.express as px

# Assuming 'metrics' is your fetched data

df = pd.DataFrame(metrics)
fig = px.line(df, x='timestamp', y='value', title='Prometheus Metrics')
fig.show()

What if I want to customize the plot further?

You can customize the plot by adding more parameters to px.line, such as changing colors, adding labels, or modifying the layout.