Handling Database Connection Limits in a Scalable Django Application
I'm trying to debug I've been researching this but I've tried everything I can think of but I'm optimizing some code but I'm stuck on something that should probably be simple. I'm currently developing a Django application that has started to experience performance optimization as our user base grows. We are hosting our PostgreSQL database on AWS RDS, and recently, we've encountered the behavior `FATAL: too many connections for role "myuser"`. This has led to downtime during peak usage times. To mitigate this, I've implemented connection pooling using `django-db-geventpool` and configured `DATABASES` in `settings.py` like this: ```python DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql', 'NAME': 'mydatabase', 'USER': 'myuser', 'PASSWORD': 'mypassword', 'HOST': 'mydbinstance.abc123xyz.us-west-2.rds.amazonaws.com', 'PORT': '5432', 'OPTIONS': { 'MAX_CONNS': 20, 'POOL_SIZE': 5, 'MAX_OVERFLOW': 10, }, } } ``` I've also increased the `max_connections` parameter in my PostgreSQL configuration to 200, but this doesn't seem to be enough as traffic rises. I have considered using AWS Aurora, but I'm not sure if the migration will resolve my issues. My application also uses Redis for caching, which has helped, but I suspect that inefficient queries might be adding to the load. I've tried to optimize my queries by using `select_related` and `prefetch_related`, but the question continues. I also have some background tasks running with Celery that could potentially be causing connection spikes. How can I further scale my Django application in terms of database connections without running into these limits? What are best practices for managing database connections in a high-traffic environment like this? This is part of a larger API I'm building. Thanks in advance! My development environment is Linux. Could this be a known issue? The stack includes Python and several other technologies. Could this be a known issue? I'm working in a Windows 11 environment. Any help would be greatly appreciated!