So in the carrots example in the read me, if I wanted to add an customDimension called “environment”, I would do the following:
tag_key = tag_key.TagKey("environment")
tag_map = tag_map_module.TagMap().insert(tag_key, tag_value.TagValue(“staging”))Then on calling the .record() method for the measure
mmap.record(tag_map)This is what I have done and the code works I just dont see the custom dimension in app insights. Am I going about this the right way?
"number of carrots",
["environment"],
CARROTS_MEASURE,
aggregation_module.CountAggregation())
Hi I am trying to use opencensus-ext-azure in the following way:
import logging
import logging.handlers
from opencensus.ext.azure.log_exporter import AzureLogHandler
log = logging.getLogger(__name__)
root_logger = logging.getLogger()
telemetry_handler = AzureLogHandler(
connection_string='InstrumentationKey=00000-000-000-000-00000')
telemetry_handler.setLevel(logging.INFO)
root_logger.addHandler(telemetry_handler)
def close_everything():
log.info('closing everything')
try:
some_error
except:
log.exception('some exception', exc_info=False)
pass
import atexit
atexit.register(close_everything)
atexit.register(logging.shutdown)The issue is that python session hangs at exit(). I think line which is creating problem is log.exception('some exception', exc_info=False). Can you please help. Thanks !
close_everything isn't being called correct?
AzureLogHandler registers a flush operation upon exit of the main script, how long is the session hanging for?
try removing logging.shutdown your suggestion worked. In the background this was happening:1 ) logging.shutdown is called (this was the last thing we registered and atexit follows opposite order, which I was not aware of. I was thinking first close_everthing happens and logging.shutdown)
2) Then close_everything is called
3) Then logging.shutdown is called again (since this is registered as soon as logging is imported)
Hi, I'm trying to log extra information in "customDimensions" of Application Insights Logs. I followed the example given in https://github.com/census-instrumentation/opencensus-python/tree/master/contrib/opencensus-ext-azure#custom-properties
but the custom_dimensions don't appear in "customDimensions" of Application Insights Logs. Am I missing something?
logging.info(
"Logging Information",
extra={
'custom_dimensions':
{
'test': 1234
}
}
)
14 replies
Is this a known issue? How can I have the extra information in the log corresponding to valid operation_Id?
1 reply
Hi !
I would like to produce custom metric from python code
I dont find example or documentation for AZURE ( it's very easy for aws -> https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/publishingMetrics.html )
Could you help me find an exemple ?
thank you !!!!
1 reply
Hi,
We are using FastAPI in our production and successfully implemented log exporting using Azure log handers to App Insights.
In an attempt to track incoming requests, we followed this article
Unfortunately this implementation is leading to OOM issues in our Kubernetes pods.
Is there another way to track requests and associated stats.
Any help would be greatly appreciated.
Thanks !
Gautam
Follow up:
Did end up finding OpenTelemetry but unfortunately no versions of azure-monitor-opentelemetry-exporter match >1.0.0-beta.3,<2.0.0, opentelemetry-instrumentation-fastapi (>=0.19b0,<0.20) is incompatible with azure-monitor-opentelemetry-exporter (>=1.0.0-beta.3,<2.0.0)
Any thoughts.
Thanks !
.