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Scout Monitoring MCP

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by scoutapp
celery.md1.25 kB
# Scout APM Setup for Celery ## Installation Scout supports Celery 4.0+. ### Step 1: Install the scout-apm package ```bash pip install scout-apm ``` ### Step 2: Configure Scout in your Celery app ```python from celery import Celery from scout_apm.api import Config from scout_apm.celery import install # Configure Scout Config.set( key="{SCOUT_KEY}", name="{APP_NAME}", monitor=True, ) # Create Celery app app = Celery('tasks') # Install Scout instrumentation install(app) ``` **Alternative: Using Environment Variables** Set these environment variables: - `SCOUT_MONITOR=true` - `SCOUT_KEY={SCOUT_KEY}` - `SCOUT_NAME={APP_NAME}` Then you don't need to call `Config.set()` - Scout will automatically use the environment variables. ### Step 3: Deploy Deploy your application. It takes approximately five minutes for your data to first appear within the Scout UI. Tasks will appear in the "Background Jobs" area of the Scout UI. ## Heroku Customers If you've installed Scout via the Heroku Addon, the provisioning process automatically sets `SCOUT_MONITOR` and `SCOUT_KEY` via config vars. Only `SCOUT_NAME` is additionally required. ## Documentation For more information, visit: https://scoutapm.com/docs/python/celery

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