GCP App Engine Instance Not Scaling Properly Despite Settings - 'Out of Memory' Errors
I'm trying to implement I keep running into I'm currently running a Flask application on Google Cloud App Engine (Standard Environment, Python 3.8) and working with an scenario where my instances are not scaling as expected under load..... I have configured the auto-scaling settings in my `app.yaml` file, but during peak traffic periods, I observe that the instances are either not scaling up or are hitting 'Out of Memory' errors. Here’s a snippet of my `app.yaml` configuration: ```yaml runtime: python38 instance_class: F2 automatic_scaling: min_instances: 2 max_instances: 10 target_cpu_utilization: 0.6 target_throughput_utilization: 0.7 ``` Despite having set both `min_instances` and `max_instances`, my application is still receiving the following behavior messages in the logs: ``` behavior: Instance [instance-id] is out of memory. behavior: The application is unable to handle the request. ``` I’ve tried modifying the `instance_class` to `F4` to see if that would alleviate the memory issues, but that didn't help either. Additionally, I used the `gcloud app instances describe [instance-id]` command to check the current memory usage and noticed that my instances are frequently peaking at around 800 MB, which is very close to the limit for F2 instances. I have also examined my Flask app for memory leaks and optimized some of my queries to Firestore, but I’m still working with these scaling issues. Is there something in my configuration that I might be missing, or any best practices for managing memory usage in GCP App Engine? Any suggestions would be greatly appreciated! What am I doing wrong? I'm using Python stable in this project. Has anyone dealt with something similar?