Configuring Gunicorn for Docker

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Author: Itamar Turner-Trauring
Full Title: Configuring Gunicorn for Docker
Category:#articles
Document Tags: devops docker gunicorn
Summary: This article explains how to properly configure Gunicorn for use in Docker containers, addressing common issues like worker heartbeats and logging. It recommends using an in-memory filesystem for temporary files and starting multiple workers to handle requests efficiently. Additionally, it emphasizes the importance of customizing configurations for container environments instead of relying on traditional setups.
URL: https://pythonspeed.com/articles/gunicorn-in-docker/

**The solution: start at least two workers, and probably also start a number of threads using the gthread worker backend.**That way each worker process can handle multiple queries so long as some of its time is spent waiting (e.g. for a database query to return). This ensures maximum CPU utilization (not scaling) for the CPU power the container gets, and reduces the chances of being unable to respond to a heartbeat query. (View Highlight)

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