How to manage session state in a scalable Flask application using Redis without losing data?
I'm trying to configure I'm trying to implement I'm deploying to production and I'm testing a new approach and I've been struggling with this for a few days now and could really use some help..... I'm getting frustrated with I'm integrating two systems and I'm working on a Flask application that needs to handle a high volume of concurrent users, and I'm working with scenarios with session management as I scale. Currently, I'm using Flask-Session with Redis to store user sessions. My configuration is as follows: ```python from flask import Flask from flask_session import Session app = Flask(__name__) app.config['SESSION_TYPE'] = 'redis' app.config['SESSION_PERMANENT'] = False app.config['SESSION_USE_SIGNER'] = True app.config['SESSION_REDIS'] = redis.StrictRedis(host='localhost', port=6379, db=0) Session(app) ``` While testing, I noticed that under load, some sessions are lost or not properly retrieved, resulting in users being logged out unexpectedly. I ran a load test with Locust, simulating 1000 users, and received the following behavior message intermittently: ``` redis.exceptions.ConnectionError: behavior 99 connecting to localhost:6379. want to assign requested address. ``` I suspect that the Redis server might not be able to handle the connection load when the traffic spikes. I'm also concerned about how session expiration settings might be affecting this behavior, especially since I need to keep users logged in for extended periods. I’ve tried increasing the number of Redis connections by modifying the `maxclients` setting in my Redis config, but the scenario continues. Additionally, I've implemented a backoff strategy for reconnect attempts, but I still see session data inconsistencies. How can I ensure that user sessions remain stable and intact as I scale my Flask application? Are there best practices or architectural patterns I should consider to avoid session loss during high traffic times? I'm working with Python in a Docker container on macOS. I'm open to any suggestions. Any ideas what could be causing this? I'm working with Python in a Docker container on CentOS. I'd be grateful for any help. I'm working in a Windows 11 environment. Thanks, I really appreciate it! I'm using Python stable in this project. I'd be grateful for any help. Any examples would be super helpful.