Summaries for Timing
A gauge can only hold the last value of what is was set to, so how can we time events and measure latency?
The answer is to use a summary. It will track both the total time taken by events there were and how many events there were:
import time import random from prometheus_client import start_http_server <strong>from prometheus_client import Summary function_latency = Summary("my_function_latency_seconds", "Latency of my_function")</strong> def my_function(): <strong>with function_latency.time():</strong> time.sleep(random.random()) if __name__ == "__main__": start_http_server(8000) while True: my_function() time.sleep(1)
time() context manager is used to time some code. It can also be used as a function decorator.
The metrics output will include
my_function_latency_seconds_count, and from these the latency in seconds can be calculated with the expression
rate(my_function_latency_seconds_sum[1m]) / rate(my_function_latency_seconds_count[1m]) in PromQL.