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GCP Cloud Run Service Timing Out with '504 Gateway Timeout' scenarios Despite Adequate Memory and Timeout Settings

πŸ‘€ Views: 38 πŸ’¬ Answers: 1 πŸ“… Created: 2025-06-26
GCP Cloud Run Flask Python

I'm having trouble with I'm prototyping a solution and After trying multiple solutions online, I still can't figure this out. I'm stuck trying to I'm experiencing a frustrating scenario with my GCP Cloud Run service where it frequently returns a '504 Gateway Timeout' behavior for requests, even though I've configured the service with sufficient memory and a timeout of 60 seconds... My service is built using Flask (version 2.0.1) and is supposed to process requests coming from a Google Cloud Storage bucket. The requests are relatively simple, but occasionally, the processing takes longer than expected due to the volume of data involved. I've tried increasing the memory limit to 1GB and setting the timeout to 60 seconds, but I'm still receiving the timeout behavior. Here's a snippet of my `Dockerfile`: ```Dockerfile FROM python:3.9-slim WORKDIR /app COPY requirements.txt . RUN pip install -r requirements.txt COPY . . CMD ["gunicorn", "-b", "0.0.0.0:8080", "app:app"] ``` In my `app.py`, I have the following route: ```python @app.route('/process', methods=['POST']) def process(): data = request.get_json() # Simulating a long processing time time.sleep(70) return jsonify({'status': 'success'}) ``` I know that Cloud Run services can have a maximum timeout of 60 seconds, so I don’t understand why it’s timing out even when I attempt to control the execution time. I've checked the service logs and noticed that the last log entry before the timeout occurs is at the 59-second mark. Could there be an underlying scenario related to the concurrency settings or possibly some networking delays that I'm not considering? Any insights or suggestions would be greatly appreciated! This is part of a larger service I'm building. Could this be a known issue? My development environment is CentOS. Any advice would be much appreciated. I appreciate any insights! Has anyone else encountered this?