- 1 year ago
expected gauge in metric process_start_time_seconds label Prometheus
To create a gauge metric in Prometheus that represents the start time of a process in seconds, you can define a custom metric and update its value using the Prometheus client library for your chosen programming language. Here's an example using Python and the prometheus_client
library:
pythonfrom prometheus_client import Gauge, start_http_server
import time
# Create a gauge metric to represent the process start time
process_start_time_seconds = Gauge('process_start_time_seconds', 'Process start time in seconds')
# Update the metric with the current time
process_start_time_seconds.set(time.time())
# Start the Prometheus HTTP server to expose the metrics
start_http_server(8000)
# Run your application logic here
# ...
# Update the metric value as needed
process_start_time_seconds.set(time.time())
In this example, we create a Gauge
metric called process_start_time_seconds
to represent the process start time in seconds. We use the set()
method to update the metric value with the current time using time.time()
.
Once you have defined and updated the metric, you can start the Prometheus HTTP server (in this case, on port 8000) using start_http_server()
. This will expose the metrics for scraping by the Prometheus server.
You can access the metric data by visiting the /metrics
endpoint on the server running your application (http://localhost:8000/metrics
in this example).
Make sure you install the prometheus_client
library using pip install prometheus_client
before running the code. Additionally, consult the documentation of the Prometheus client library for your specific programming language for more details and examples.