When I deploy GAE python applications with auto scaling, and when I continue to send a large number of HTTP requests for stress testing gae python services, I find that gae creates hundreds of Python objects, exhausting the memory of the Linux machine, resulting in gae crash.
I also set up app The automatic scaling parameter of app.yaml has no effect;
automatic_scaling:
min_idle_instances: 0
max_idle_instances: 1
min_instances: 1
max_instances: 2
min_pending_latency: 1ms
max_pending_latency: 1000ms
max_concurrent_requests: 20
target_cpu_utilization: 0.9
target_throughput_utilization: 0.9
When I deploy GAE python applications with auto scaling, and when I continue to send a large number of HTTP requests for stress testing gae python services, I find that gae creates hundreds of Python objects, exhausting the memory of the Linux machine, resulting in gae crash. I also set up app The automatic scaling parameter of app.yaml has no effect; automatic_scaling: min_idle_instances: 0
max_idle_instances: 1
min_instances: 1
max_instances: 2
min_pending_latency: 1ms
max_pending_latency: 1000ms
max_concurrent_requests: 20
target_cpu_utilization: 0.9 target_throughput_utilization: 0.9