# \[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](https://github.com/akamaslabs/kubernetes-online-boutique).

To start, clone the repository.

```bash
git clone https://github.com/akamaslabs/kubernetes-online-boutique.git
```

#### What you will learn <a href="#user-content-what-you-will-learn" id="user-content-what-you-will-learn"></a>

* 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 <a href="#user-content-what-you-will-need" id="user-content-what-you-will-need"></a>

* Access to the Akamas-In-A-Sandbox (AIAS) environment with valid credentials.
* Install the [Akamas CLI](https://docs.akamas.io/akamas-docs/installing-akamas/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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