Python APM with Kubernetes

This document details how to install the Python APM Profiler in your Python application running on Kubernetes.

Prerequisite

Follow the Retrace Kubernetes Install Guide.

Python Kubernetes 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')
   

Pod Configuration

Application containers are required to have the stackify volume mount configured in Retrace Kubernetes Install.

Example Application Pod YAML:

apiVersion: v1
kind: ReplicationController
metadata:
  name: pod-name
spec:
  replicas: 1
  selector:
    app: app-name
  template:
    metadata:
      name: template-name
      labels:
        app: app-name
    spec:
      containers:
      - name: container-name
        image: application-image
        volumeMounts:
          - mountPath: /usr/local/stackify
            name: stackify
      volumes:
        - name: stackify
          hostPath: 
            path: /var/stackify
            type: DirectoryOrCreate

Verify

Make application requests, you can then verify results in the Retrace dashboard.