Python AWS Lambda Serverless Monitoring

Below we shall see the steps for AWS Python Lambda Monitoring using Atatus Lambda Layer(no changes in your code).

• Serverless Framework
• SAM Template
• AWS Console

Serverless Framework

1. Install serverless package

   npm install -g serverless
   

2. Navigate to Atatus Dashboard --> Settings --> Account Settings --> API Keys. You can generate a new API key (select - Ingest License Key). After obtaining the API key, you'll need to set it in the serverless.yaml file under the environment ATATUS_LICENSE_KEY (see step 3).

3. Add Lambda layers to your serverless provider configuration

   provider:
     name: aws
     runtime: python3.8
     environment:
       ATATUS_LICENSE_KEY: <YOUR_API_KEY>
     layers:
       - arn:aws:lambda:us-east-1:317265140635:layer:Atatus-Python:4
   

For Each Function:

handler: /opt/python/atatus_tracer._handler
environment:
    ATATUS_ORIGINAL_HANDLER: <YOUR_ORIGINAL_HANDLER>

4. Deploy serverless application

  sls deploy

SAM Template

1. Install AWS SAM CLI

2. Navigate to Atatus Dashboard --> Settings --> Account Settings --> API Keys. You can generate a new API key (type - Ingest License Key). After obtaining the API key, you'll need to set it in the serverless.yaml file under the environment ATATUS_LICENSE_KEY (see step 3).

3. Add Lambda layers to your SAM provider configuration

   Globals:
     Function:
       Timeout: 600
       Layers:
         - arn:aws:lambda:us-east-1:317265140635:layer:Atatus-Python:4
       Environment:
         Variables:
           ATATUS_LICENSE_KEY: <YOUR_API_KEY>
   

For Each Function:

Handler: /opt/python/atatus_tracer._handler
Environment:
    Variables:
        ATATUS_ORIGINAL_HANDLER: <YOUR_ORIGINAL_HANDLER>

4. Build and Deploy this file along with your Lambda function.

sam build

sam deploy -g

AWS Console

1. Add Atatus Layer to Your Lambda Function:

• Navigate to the AWS Management Console.
• In the search bar at the top, type Lambda and select the Lambda service from the drop down.
• Select the function you want to modify.
• In the Function overview section, click on Layers.
• Once you are in the Layers section, click on the Add a layer button.
• Select "Specify an ARN" as Layer source and enter the following ARN

arn:aws:lambda:us-east-1:317265140635:layer:Atatus-Python:4

• After entering the ARN, click the Add button to associate the specified layer with your Lambda function.

2. Configure Agent Environment Variables:

• Still in your Lambda function configuration page, scroll down to the Configuration tab.
• Within the Configuration tab, Click on Environment variables.
• To set the agent environment variables, click the Edit button.
• You can now set following environment variables

ATATUS_LICENSE_KEY: <YOUR_API_KEY> # Get API KEY from atatus settings
ATATUS_ORIGINAL_HANDLER: <YOUR_ORIGINAL_HANDLER> # Get handler from runtime settings

3. Update Atatus Handler in runtime settings

• In your Lambda function configuration page, scroll down to the Code tab.
• Within the Code tab, Click on Runtime settings.
• To set the agent handler, click the Edit button.
• You can now set handler as follows

atatus_tracer._handler

• Click the Save button to save the changes.