Book Image

Kubernetes for Serverless Applications

By : Russ McKendrick
Book Image

Kubernetes for Serverless Applications

By: Russ McKendrick

Overview of this book

Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. It has been adopted by companies such as Google, its original developers, and Microsoft as an integral part of their public cloud platforms, so that you can develop for Kubernetes and not worry about being locked into a single vendor. This book will initially start by introducing serverless functions. Then you will configure tools such as Minikube to run Kubernetes. Once you are up-and-running, you will install and configure Kubeless, your first step towards running Function as a Service (FaaS) on Kubernetes. Then you will gradually move towards running Fission, a framework used for managing serverless functions on Kubernetes environments. Towards the end of the book, you will also work with Kubernetes functions on public and private clouds. By the end of this book, we will have mastered using Function as a Service on Kubernetes environments.
Table of Contents (13 chapters)

Monitoring Kubernetes

Before we start to look at various ways we can monitor our Kubernetes cluster we should quickly talk about what we mean by monitoring when it comes to a tool with potentially a lot of moving parts.

Traditionally, monitoring servers has meant keeping a close eye on the availability of applications running on fixed servers. To do this, our monitoring tool would collate information on the CPU, RAM, and disk utilization, as well as which services were running, the number of processes, and also the availability of the services and the server itself.

We would set triggers at certain thresholds so that, for example, if there was an increase of CPU load, we could log in to the server and do some investigation before said CPU load starts to affect our application's performance.

As you can image, monitoring a Kubernetes cluster is a lot different to this...