AdjustmentTier

class aws_cdk.aws_autoscaling.AdjustmentTier(*, adjustment, lower_bound=None, upper_bound=None)

Bases: object

An adjustment.

Parameters:

adjustment (Union[int, float]) – What number to adjust the capacity with. The number is interpeted as an added capacity, a new fixed capacity or an added percentage depending on the AdjustmentType value of the StepScalingPolicy. Can be positive or negative.
lower_bound (Union[int, float, None]) – Lower bound where this scaling tier applies. The scaling tier applies if the difference between the metric value and its alarm threshold is higher than this value. Default: -Infinity if this is the first tier, otherwise the upperBound of the previous tier
upper_bound (Union[int, float, None]) – Upper bound where this scaling tier applies. The scaling tier applies if the difference between the metric value and its alarm threshold is lower than this value. Default: +Infinity

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
from aws_cdk import aws_autoscaling as autoscaling

adjustment_tier = autoscaling.AdjustmentTier(
    adjustment=123,

    # the properties below are optional
    lower_bound=123,
    upper_bound=123
)

Attributes

adjustment

What number to adjust the capacity with.

The number is interpeted as an added capacity, a new fixed capacity or an added percentage depending on the AdjustmentType value of the StepScalingPolicy.

Can be positive or negative.

lower_bound

Lower bound where this scaling tier applies.

The scaling tier applies if the difference between the metric value and its alarm threshold is higher than this value.

Default:: -Infinity if this is the first tier, otherwise the upperBound of the previous tier

upper_bound

Upper bound where this scaling tier applies.

The scaling tier applies if the difference between the metric value and its alarm threshold is lower than this value.

Default:: +Infinity