statsd_exporter | StatsD to Prometheus metrics exporter | Analytics library
kandi X-RAY | statsd_exporter Summary
kandi X-RAY | statsd_exporter Summary
The StatsD exporter is a drop-in replacement for StatsD. This exporter translates StatsD metrics to Prometheus metrics via configured mapping rules. We recommend using the exporter only as an intermediate solution, and switching to native Prometheus instrumentation in the long term. While it is common to run centralized StatsD servers, the exporter works best as a sidecar.
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statsd_exporter Key Features
statsd_exporter Examples and Code Snippets
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Trending Discussions on statsd_exporter
QUESTION
I am trying to setup a stasd-exporter, which requires 2 types ports: a UDP and a TCP.
In the statsd-exporter's readme, the example uses 2 different types of ports:
...ANSWER
Answered 2021-Aug-11 at 11:13You can define the ports as below:
QUESTION
I installed airflow[statsd] using "pip install 'apache-airflow[statsd]' and I installed statsd_exporter. Now I can see airflow metrics from Prometheus. but all the metrics related to airflow have dag_id and task_id as a part of metrics names.
For example, for dag id "dag1" with task id "task1" the metrics for the time taken to finish a task is: airflow_dag_dag1_task1_duration. For dag id "dag2" with task id "task2" the metrics is: airflow_dag_dag2_task2_duration.
what I am interested is something like: trigger an alert if any dag fails, or trigger an alert if it takes more than XXX sec for a dag to complete. in another word, I do not want to create a rule and alert for each individual dag or task. I want to alert the generic situation.
How can I create rule/alert in Prometheus for generic case?
...ANSWER
Answered 2020-Oct-28 at 15:05You should be able to use something like the below and base your alerting off that:
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