# Autoscaling settings
autoscaling_buffer_pools: "worker"
autoscaling_buffer_cpu_scale: "1"
autoscaling_buffer_memory_scale: "0.9"
autoscaling_buffer_cpu_reserved: "1"
autoscaling_buffer_memory_reserved: "1500Mi"
{{if eq .Environment "production"}}
autoscaling_buffer_pods: "3"
{{else}}
autoscaling_buffer_pods: "0"
{{end}}

# Autoscaling settings
autoscaling_buffer_pools: "worker"
autoscaling_buffer_cpu_scale: "1"
autoscaling_buffer_memory_scale: "0.85"
autoscaling_buffer_cpu_reserved: "1"
autoscaling_buffer_memory_reserved: "1500Mi"
{{if eq .Environment "production"}}
autoscaling_buffer_pods: "3"
{{else}}
autoscaling_buffer_pods: "0"
{{end}}

Reduce the memory scaling coefficient to 0.85
Reduce the memory scaling coefficient to 0.85

m5 instances have even less memory available, so 0.9 wouldn't work for
m5.xlarge. Let's just reduce to 0.85 and see if we can get this
information from somewhere.
