[AIAS-03] Guide: Create a study to optimize K8s microservices costs using the Akamas CLI
This guide describes how to optimize the cost efficiency of a Kubernetes microservice application.
The target application is Online Boutique, a popular app developed by Google for demo purposes. Online Boutique runs on a minimal Kubernetes cluster within the Akamas sandbox environment so you don't need to install anything on your side.
You will use the Akamas CLI to create this study, to familiarize with Akamas Optimization-as-Code approach.
All the configuration files and scripts referenced in this guide can be downloaded from Akamas' public GitHub repository.
To start, clone the repository.
What you will learn
How to use the Akamas CLI to create an Optimization Study and all its supporting artifacts
How to model the Online Boutique application (which is available in the environment)
How to configure Prometheus to let Akamas collect Kubernetes performance metrics
How to optimize a Kubernetes application using Akamas
What you will need
Access to the Akamas-In-A-Sandbox (AIAS) environment with valid credentials.
Install the Akamas CLI and use your free trial instance URL as API address as follows:
https://<your-free-trial-sandbox-address>:8443
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