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aws-xray captureAWS annotations


By : Ching Tsao
Date : October 16 2020, 06:10 PM
seems to work fine The resources section contains high level arguments for some clients e.g. DynamoDB table name. Not all arguments are captured by default. This is because they may contain information that the users do not wish to track in their trace and may also be verbose.
For now opt-in is not available in X-Ray SDK for arbitrary API parameters. As a workaround for now, I would suggest that you wrap your sdk calls in a local subsegment and record the parameters you want to capture as annotations or Metadata for that subsegment. Let me know if you need any help in locating docs that allow you to create your own subsegments.
code :


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AWS Xray: How to check if Xray Segment is open?


By : zuma
Date : March 29 2020, 07:55 AM
it should still fix some issue There is no method dedicated to check if there is an open segment/subsegment or not but the code snippet you posted definitely works well.
A better way to test a Lambda function locally is to mimic the Lambda container behavior so your instrumented Lambda function behaves exactly the same both locally and in actual Lambda.

JFrog Xray xray-env.cnf


By : user1874056
Date : March 29 2020, 07:55 AM
seems to work fine The documentation for XRay says you can use the xray-env.cnf file for automated scripting of deployment but I can't find it on the fielsystem and don't know where precisely it is supposed to be placed. , The file should be placed in /var/opt/jfrog/xray/scripts.

AWS XRay: Unable to write to /tmp/.aws-xray/initialized. Failed to signal SDK initialization


By : Moath Titi
Date : March 29 2020, 07:55 AM
wish help you to fix your issue You cannot create segments within Lambda function. Lambda will create the segments in the outside wrapper which you cannot access within the function. Could you try to change from xray_recorder.begin_segment('get_item') to xray_recorder.begin_subsegment('get_item')?
Also the trace data generated outside of lambda handler will not be captured because during that time the lambda function is still initializing and no tracing context is available.

AWS xray + lambda exception handling, how can I return an error message and have my xray trace flagged as a failure


By : user2658425
Date : March 29 2020, 07:55 AM
may help you . The nodes in the service map correspond to segments so in order for you to see faults or errors reflected, you’ll need to add the error flag to the segment. Unfortunately, the Lambda::Function segment is created by Lambda and cannot be modified so if you handle the exception yourself, there isn’t a way to set the Lambda::Function segment error flag.
You can however make the im-xmpp-prod node reflect errors or faults in the service map by mapping the status code returned in the Lambda payload to a segment fault or error in your application code. You can do this (assuming this is also Python) by calling segment = xray_recorder.current_segment() to get the current segment and then calling segment.add_error_flag() or segment.add_fault_flag() to set the segment error or fault attribute equal to true.

How to set segment (top) level AWS Xray annotations in Python Lambda


By : user2720448
Date : March 29 2020, 07:55 AM
will help you Lambda function segment is not generated by X-Ray SDK. We are working with Lambda team to provide better experience but currently there is no workaround to annotate the segment.
For annotating subsegment, you can create a subsegment inside the handler and then add annotation to it. You can see the quick start guide https://github.com/aws/aws-xray-sdk-python for creating custom subsegment.
code :
with xray_recorder.in_subsegment('pick_a_subsegment_name') as subsegment:
        subsegment.put_annotation('key', 'value')
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