Configuration that allows for slower scale in so that even if
Autoscaler recommends an abrupt scale in of a MIG, it will be
throttled as specified by the parameters below.
Attributes
Name
Description
max_scaled_in_replicas
google.cloud.compute_v1.types.FixedOrPercent
Maximum allowed number (or %) of VMs that can
be deducted from the peak recommendation during
the window autoscaler looks at when computing
recommendations. Possibly all these VMs can be
deleted at once so user service needs to be
prepared to lose that many VMs in one step.
time_window_sec
int
How far back autoscaling looks when computing
recommendations to include directives regarding
slower scale in, as described above.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-12-18 UTC."],[],[]]