Why are my gunicorn Python/Flask workers exiting from signal term?

I have a Python/Flask web application that I am deploying via Gunicorn in a docker image on Amazon ECS. Everything is going fine, and then suddenly, including the last successful request, I see this in the logs:

[2017-03-29 21:49:42 +0000] [14] [DEBUG] GET /heatmap_column/e4c53623-2758-4863-af06-91bd002e0107/ADA
[2017-03-29 21:49:43 +0000] [1] [INFO] Handling signal: term
[2017-03-29 21:49:43 +0000] [14] [INFO] Worker exiting (pid: 14)
[2017-03-29 21:49:43 +0000] [8] [INFO] Worker exiting (pid: 8)
[2017-03-29 21:49:43 +0000] [12] [INFO] Worker exiting (pid: 12)
[2017-03-29 21:49:43 +0000] [10] [INFO] Worker exiting (pid: 10)
[2017-03-29 21:49:43 +0000] [1] [INFO] Shutting down: Master

  • Containerization of OpenStack services with Kubernetes?
  • AOT Compiler to Shrink Docker Container
  • How does Docker keep the image immutable
  • Can nginx.conf access environment variables?
  • Resend messages from RabbitMQ works strange
  • Install docker in vagrant
  • And the processes die off and the program exits. ECS then restarts the service, and the docker image is run again, but in the meanwhile the service is interrupted.

    What would be causing my program to get a TERM signal? I can’t find any references to this happening on the web. Note that this only happens in Docker on ECS, not locally.

  • Migrating a service from one docker container to another with zero downtime
  • Why Kafka broker connects to itself?
  • .Net Core Web Api to Docker Container Mac
  • Docker Images Hierarchy
  • docker unauthorized: authentication required - upon push with successful login
  • Docker-compose - volumes driver local meaning
  • One Solution collect form web for “Why are my gunicorn Python/Flask workers exiting from signal term?”

    It turned out that after adding a login page to the system, the health check was getting a 302 redirect to /login at /, which was failing the health check. So the container was periodically killed. Amazon support is awesome!

    Docker will be the best open platform for developers and sysadmins to build, ship, and run distributed applications.