Tanzu Observability

I've seen on github that you have a library to integrate Wavefront with Go.

Is there any plan to get something similar for Python?

Thanks!

Martin

Correct Answer by vasily@wavefront.com on Jan 26, 2017 2:28 PM

Hi Martin,

Are you using any particular metrics framework in Python, or simply looking for a way to send metrics from Python code? In the latter case it's actually very simple:

1. import time 
2. import socket 
3.  
4.  
5. def send_metric(proxy_socket, metric_name, metric_value, source, timestamp=None, point_tags=None): 
6.         timestamp = timestamp or int(time.time()) 
7.         tags = ' ' + ' '.join("%s=\"%s\"" % (k, v) for (k, v) in point_tags.iteritems()) if point_tags else '' 
8.         proxy_socket.send("%s %d %d source=%s%s\n" % (metric_name, metric_value, timestamp, source, tags)) 
9.  
10. # example usage 
11. s = socket.socket() 
12. s.connect(("localhost", 2878)) 
13. send_metric(s, "metric.name", 1, "metric.source") 
14. send_metric(s, "metric.name", 2, "metric.source", point_tags={"dc": "west1", "env": "prod"}) 
15. s.close() 

If you are using an existing metrics framework, chances are that it can send data in Graphite or OpenTSDB format which are natively supported by our proxy - but if it's not the case, please let us know and we'll see what we can do!

-Vasily

Hi Martin,

Are you using any particular metrics framework in Python, or simply looking for a way to send metrics from Python code? In the latter case it's actually very simple:

1 of 1 people found this helpful

Thanks Vasily!

I wasn't sure about the format and if there was something special required to make it to WF forwarder.

Actually, its pretty simple. Check out how durren​ did it in the code, here: GitHub - BillRothVMware/wavefront-weather-py

thanks

Hi Vasily,

  Is there any python library to which can push the metrics periodically to the proxy?