[AIAB-04] Optimize a Java-based Kubernetes application (Online Boutique)
This guide will walk you through the steps of optimizing an application running on a Kubernetes cluster using Akamas.
You will optimize Online Boutique, a cloud-native microservices application implemented by Google as a demo application for Kubernetes. It is a web-based sample, yet a fully-fledged, e-commerce application.
What you will learn
How to integrate your Kubernetes Cluster with Akamas
How to model the Online Boutique application inside Akamas
How to configure Prometheus to let Akamas collect Kubernetes performance metrics
How to optimize a Kubernetes application using Akamas
What you will need
Basic understanding of the concepts - you may want to watch a quick (2m) video included in this Welcome to Akamas guide and get yourself familiar with Akamas' key concepts by reading the Learn Akamas key concepts guide.
An Akamas installation with a valid license - you may want to read the Akamas in-a-box guide to set up your Akamas instance.
A working Kubernetes cluster - if you do not have such a cluster available, you can easily create a local one following the next sections of this guide.
You can find all the configuration files used in this guide on Akamas' public GitHub repository.
Please clone the repository in the home directory of the Akamas instance by running the command
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