Python APM with AWS ECS
  • Updated on 07 Nov 2019
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Python APM with AWS ECS

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This document details how to install the Python APM Profiler in your Python application running on AWS Elastic Container Service (ECS).

Prerequisite

Follow the Retrace AWS ECS Guide.

Python Application Setup


Django

  1. Check that your setup meets our system requirements.

    • Python Versions (2.7 - 3.7)
    • Django Versions (1.7 - 2)
  2. Install the Stackify Python APM agent using pip:

    $ pip install stackify-python-apm
    

    You may install your stackify-python-apm by adding it to your project's requirements.txt file.

  3. Add stackifyapm.contrib.django to INSTALLED_APPS in your settings.py:

    INSTALLED_APPS = ( # ... 'stackifyapm.contrib.django', )
    
  4. Add our tracing middleware to MIDDLEWARE in your settings.py:

    MIDDLEWARE = ( 'stackifyapm.contrib.django.middleware.TracingMiddleware', # ... )
    
  5. Customize Application Name and Environment configuration in your settings.py:

    APPLICATION_NAME = 'Python Application'
    ENVIRONMENT = 'Production'
    

Flask

  1. Check that your setup meets our system requirements.

    • Python Versions (2.7 - 3.7)
    • Flask Versions (0.7 - 1.0)
  2. Install the Stackify Python APM agent using pip:

    $ pip install stackify-python-apm
    

    You may install your stackify-python-apm by adding it to your project's requirements.txt file.

  3. Update and insert the apm settings to your application:

    from stackifyapm.contrib.flask import StackifyAPM
    
    app = Flask(...)
    StackifyAPM(app)
    
  4. Customize Application Name and Environment configuration:

    app.config['APPLICATION_NAME'] = 'Python Application'
    app.config['ENVIRONMENT'] = 'Production'
    
    StackifyAPM(app)
    

Pyramid

  1. Check that your setup meets our system requirements.

    • Python Versions (2.7 - 3.7)
    • Pyramid Versions (1.4 - 1.10)
  2. Install the Stackify Python APM agent using pip:

    $ pip install stackify-python-apm
    

    You may install your stackify-python-apm by adding it to your project's requirements.txt file.

  3. Update and insert the apm settings to your application:
    Include our pyramid tween integration:

    with Configurator() as config:
    config.include('stackifyapm.contrib.pyramid')
    

    Or explicit tween configuration:

    with Configurator({
        'pyramid.tweens': ['stackifyapm.contrib.pyramid.stackifyapm_tween_factory'].
    }) as config:
        ...
    
  4. Customize Application Name and Environment configuration:

    with Configurator({
        'APPLICATION_NAME': 'Python Application',
        'ENVIRONMENT': 'Production',
    }) as config:
        config.include('stackifyapm.contrib.pyramid')
    

Task Configuration

Application containers are required to have the stackify volume mount configured in the Retrace AWS ECS Guide.

Add the stackify volume to the task definition:

{
  "volumes": [
    {
      "name": "stackify",
      "host": {
        "sourcePath": "/var/stackify"
      }
    }
  ]
}

Add stackify mount points to the container definition:

{
  "containerDefinitions": [
    {
      "mountPoints": [
        {
          "readOnly": false,
          "containerPath": "/usr/local/stackify",
          "sourceVolume": "stackify"
        }
      ]
    }
  ]
}

Verify

Start up your Python application task and make requests. You can then verify results in the Retrace dashboard.

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