> 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-03-optimize-a-java-based-application-konakart-with-lre/aiab-03-architecture-overview.md).

# \[AIAB-03] Architecture overview

The following picture represents the high-level architecture of how Akamas operates in this scenario.

Here are the main elements:

* The target system to be optimized is Konakart, a real-world e-commerce web application based on Java and running as a Docker container within a dedicated cloud instance - in this guide, the goal is to optimize Konakart throughput and response time
* The optimization scope covers the Konakart Java Virtual Machine (JVM), with JVM parameters specified in a Docker configuration file on the Konakart cloud instance
* The optimization experiments leverage LoadRunner Enterprise as a load-testing tool
* The optimization results leverage Prometheus as a telemetry provider to collect JVM and OS-level metrics.

<figure><img src="https://1455297369-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FWaLHgCJcLYwHY9VZwaxO%2Fuploads%2FvVpISjN4Qzn1cx8n7ajB%2Farchitecture%20(1).png?alt=media&amp;token=97eae7ea-2f4e-4ebd-bd52-3b958d99a1c8" alt=""><figcaption></figcaption></figure>


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