VM autoscaling
Configure VM autoscaling policies for AWS ASG, Azure VMSS, GCP MIG, and AWS ECS Application Auto Scaling.
6 lessons. 1 quiz.
Read in order, or jump to what you need.
What a scaling policy actually is
By the end of this lesson, you will be able to distinguish target-tracking from step scaling, identify the right model for a workload, and configure the four key parameters.
Smart defaults: Welford stats explained
By the end of this lesson, you will be able to read smart-default recommendations, explain the Welford math behind them, and decide when to accept or override the recommendation.
Quick Setup: the one-screen flow
By the end of this lesson, you will be able to configure a complete autoscaling policy in 60 seconds using Quick Setup, distinguish Quick Setup from Advanced mode, and choose the right mode for the workload.
Three modes: monitor, recommend, autopilot
By the end of this lesson, you will be able to explain what a policy's mode records, pick Autopilot or Manual for a workload, and know who presses Apply and what does the scaling.
Apply, pause, resume, remove: the lifecycle
By the end of this lesson, you will be able to walk an autoscaler policy through its full lifecycle, understand what each operation does at the cloud layer, and execute safe rollback when needed.
The event log
By the end of this lesson, you will be able to read a policy's event log, trace who changed a policy and whether each apply or remove succeeded, and go to the cloud's own scaling history to explain why a group scaled.
Module quiz.
Take it once the lessons are done.