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    Python APM with AWS Lambda
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    Contents

    Python APM with AWS Lambda

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    Article summary

    This document details how to setup APM with your AWS Lambda Python Functions.

    image.png

    Stackify AWS Monitor Setup

    AWS Lambda support requires a Stackify AWS Monitor server to forward application data to Stackify.
    A monitoring server is required for each AWS region you are using functions.

    Log into your AWS account and click the Launch Stack button below to deploy the CloudFormation Stack Cloud Formation Template.
    Set parameter StackifyLambda is set to true.

    image

    Lambda Function Setup

    Stackify APM works by adding a Lambda Layer to your function.

    1. Add Stackify Layer to Function

    On your function Configuration page, click the Add a layer button:
    image.png

    Find the correct StackifyPythonAPMLayer ARN for the region you are working in below:

    RegionLayer ARN
    us-east-1arn:aws:lambda:us-east-1:686826687729:layer:StackifyPythonAPMLayer:4
    us-east-2arn:aws:lambda:us-east-2:686826687729:layer:StackifyPythonAPMLayer:11
    us-west-1arn:aws:lambda:us-west-1:686826687729:layer:StackifyPythonAPMLayer:3
    us-west-2arn:aws:lambda:us-west-2:686826687729:layer:StackifyPythonAPMLayer:3
    ap-south-1arn:aws:lambda:ap-south-1:686826687729:layer:StackifyPythonAPMLayer:3
    ap-northeast-1arn:aws:lambda:ap-northeast-1:686826687729:layer:StackifyPythonAPMLayer:3
    ap-northeast-2arn:aws:lambda:ap-northeast-2:686826687729:layer:StackifyPythonAPMLayer:3
    ap-southeast-1arn:aws:lambda:ap-southeast-1:686826687729:layer:StackifyPythonAPMLayer:3
    ap-southeast-2arn:aws:lambda:ap-southeast-2:686826687729:layer:StackifyPythonAPMLayer:3
    ca-central-1arn:aws:lambda:ca-central-1:686826687729:layer:StackifyPythonAPMLayer:3
    eu-central-1arn:aws:lambda:eu-central-1:686826687729:layer:StackifyPythonAPMLayer:3
    eu-west-1arn:aws:lambda:eu-west-1:686826687729:layer:StackifyPythonAPMLayer:3
    eu-west-2arn:aws:lambda:eu-west-2:686826687729:layer:StackifyPythonAPMLayer:3
    eu-west-3arn:aws:lambda:eu-west-3:686826687729:layer:StackifyPythonAPMLayer:3
    eu-north-1arn:aws:lambda:eu-north-1:686826687729:layer:StackifyPythonAPMLayer:3
    sa-east-1arn:aws:lambda:sa-east-1:686826687729:layer:StackifyPythonAPMLayer:3

    2. Configure Stackify Layer

    The StackifyPythonAPMLayer works by changing your function handler to our profiler (*stackifyapm.contrib.aws_lambda.function.handler). The profiler is a wrapper and calls the function set in the environment variable STACKIFY_LAMBDA_HANDLER.

    • Add Environment Variables
      • STACKIFY_LAMBDA_HANDLER - Your function handler ie) my_function.my_handler
      • STACKIFY_APPLICATION_NAME - Application Name to associate with function.
      • STACKIFY_ENVIRONMENT_NAME - Environment Name to associate with function.
    • Update Handler to stackifyapm.contrib.aws_lambda.function.handler
    • Save your function.

    3. Test

    Run a test execution of your function and verify that the Log output contains a STACKIFY-TRACE line.

    • After a few minutes of function traffic, goto Retrace > Monitoring > Other Apps.
    • Click Add App
    • Click Existing Server
    • Find your application by name and click Add

    AWS Costs

    • Each Stackify AWS Monitor runs inside an t2.micro ec2 instance by default.
    • The StackifyPythonAPMLayer writes logs to CloudWatch for each function execution. We suggest reducing retention on CloudWatch LogGroups.
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