Book Image

Serverless Architectures with Kubernetes

By : Onur Yılmaz, Sathsara Sarathchandra
Book Image

Serverless Architectures with Kubernetes

By: Onur Yılmaz, Sathsara Sarathchandra

Overview of this book

Kubernetes has established itself as the standard platform for container management, orchestration, and deployment. By learning Kubernetes, you’ll be able to design your own serverless architecture by implementing the function-as-a-service (FaaS) model. After an accelerated, hands-on overview of the serverless architecture and various Kubernetes concepts, you’ll cover a wide range of real-world development challenges faced by real-world developers, and explore various techniques to overcome them. You’ll learn how to create production-ready Kubernetes clusters and run serverless applications on them. You'll see how Kubernetes platforms and serverless frameworks such as Kubeless, Apache OpenWhisk and OpenFaaS provide the tooling to help you develop serverless applications on Kubernetes. You'll also learn ways to select the appropriate framework for your upcoming project. By the end of this book, you’ll have the skills and confidence to design your own serverless applications using the power and flexibility of Kubernetes.
Table of Contents (11 chapters)
2
2. Introduction to Serverless in the Cloud

Autoscaling Kubernetes Clusters

Kubernetes clusters are designed to run scalable applications reliably. In other words, if the Kubernetes cluster runs 10 instances of your application today, it should also support running 100 instances in the future. There are two mainstream methods to reach this level of flexibility: redundancy and autoscaling. Let's assume that the 10 instances of your application are running on 3 servers in your cluster. With the redundancy, you need at least 27 extra idle servers to be capable of running 100 instances in the future. It also means paying for the empty servers as well as operational and maintenance costs. With autoscaling, you need automated procedures to create or remove servers. Autoscaling ensures that there are no excessive idle servers and minimizes the costs while meeting the scalability requirements.

GKE Cluster Autoscaler is the out-of-box solution for handling autoscaling in Kubernetes clusters. When it is enabled, it automatically...