> For the complete documentation index, see [llms.txt](https://docs.akamas.io/quick-guides/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.akamas.io/quick-guides/quick-guides-akamas-in-a-box/aiab-04-optimize-a-java-based-kubernetes-application-online-boutique/aiab-04-create-the-system-and-its-components.md).

# \[AIAB-04] Create the system and its components

### Create the System

Duration: 02:00

To model the Online Boutique inside Akamas, we need to create a corresponding System with its components in Akamas, and also associate a Prometheus telemetry instance to the system to allow Akamas to collect the performance metrics.

The entire Akamas system, together with the Prometheus telemetry instance, can be installed with a single command by leveraging the `create-system.sh` script provided in the `scripts` folder.

This script requires, as an argument, the public IP address of the cluster `CLUSTER_IP`.

Now you need to first login to Akamas with the following command:

```bash
akamas login --user <login> --password <password>
```

and then run the above-mentioned script in a shell where you have the Akamas CLI installed:

```bash
bash kubernetes-online-boutique/scripts/create-system.sh <CLUSTER_IP>
```

The scripts should return a message similar to: `System created correctly`.

At this point, you can access the Akamas UI under and verify that the System and its component are listed in the Systems menu:

<figure><img src="https://1455297369-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FWaLHgCJcLYwHY9VZwaxO%2Fuploads%2FLMml7YI2cYrhoVn23vW7%2Fakamas-system.png?alt=media&amp;token=e62676c0-98b7-4304-a8ca-212b528725b4" alt=""><figcaption></figcaption></figure>

Notice that this System leverages the following Optimization Packs:

* Kubernetes: it provides a component type required to model each Kubernetes Pod - one for each Deployment in the Online Boutique.
* Optimization Packs for Web Applications: it models the end-to-end metrics of the Online Boutique, such as the application response time and throughput.


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