Mechanisms for Autoscaling
Learn what parameters can be used to autoscale an application.
We'll cover the following
There are four primary indicators to watch during the operation of an application that can indicate potential issues with maintaining uptime or responsiveness SLAs. These include CPU load, I/O load (often seen as disk pressure in Kubernetes), request and network load (often seen as network pressure in Kubernetes), and memory load. Understanding these indicators is essential in helping to prepare us to adjust configuration settings, therefore leading to scalable supporting infrastructure. Understanding how our application components affect each of these indicators is important as well.
Compute and CPU load
Get hands-on with 1200+ tech skills courses.