Docker and Kubernetes provides delightful APIs to show various statuses of our
applications. From CPU, Load average, HTTP response times, etc. we all have
what we need to make sure our app is running healthily. When things are on
fire, we Ops people twiddle some knobs like spin up more Pods to keep things
going. We use mostly our experience and knowledge of the systems that we are
running to know what to do.
However, if you look at everyday things like your airconditioners and
thermostats, they don't have an Ops team that gets paged to set the correct
level of the coolant to set your room to the right temperature. They use some
math behind called *Control Theory* to keep your room's temperature stable. In
this talk, I will show how we can use the same concepts to autoscale and manage
the health of our applications on Kubernetes.
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