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README.md  view on Meta::CPAN

- path based routing on ALB listeners

[Back to Table of Contents](#table-of-contents)

# AUTOSCALING

## Overview

For services that experience variable load, such as HTTP applications or
background job processors, `App::FargateStack` can automate the process of
scaling the number of running tasks up or down to meet demand. This ensures
high availability during traffic spikes and saves costs during quiet periods.

The framework integrates with AWS Application Auto Scaling to provide target
tracking scaling policies. This allows you to define a target metric - such as
average CPU utilization or the number of requests per minute - and the framework
will automatically manage the number of Fargate tasks to keep that metric at
your desired level.

## Enabling Autoscaling

lib/App/FargateStack/Pod.pm  view on Meta::CPAN

=item * path based routing on ALB listeners

=back

=head1 AUTOSCALING

=head2 Overview

For services that experience variable load, such as HTTP applications or
background job processors, C<App::FargateStack> can automate the process of
scaling the number of running tasks up or down to meet demand. This ensures
high availability during traffic spikes and saves costs during quiet periods.

The framework integrates with AWS Application Auto Scaling to provide target
tracking scaling policies. This allows you to define a target metric - such as
average CPU utilization or the number of requests per minute - and the framework
will automatically manage the number of Fargate tasks to keep that metric at
your desired level.

=head2 Enabling Autoscaling

share/README.md  view on Meta::CPAN

- path based routing on ALB listeners

[Back to Table of Contents](#table-of-contents)

# AUTOSCALING

## Overview

For services that experience variable load, such as HTTP applications or
background job processors, `App::FargateStack` can automate the process of
scaling the number of running tasks up or down to meet demand. This ensures
high availability during traffic spikes and saves costs during quiet periods.

The framework integrates with AWS Application Auto Scaling to provide target
tracking scaling policies. This allows you to define a target metric - such as
average CPU utilization or the number of requests per minute - and the framework
will automatically manage the number of Fargate tasks to keep that metric at
your desired level.

## Enabling Autoscaling