> 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-sandbox/aias-01-guide-explore-an-optimization-study-for-a-kubernetes-microservices-application/aias-01-explore-the-system.md).
# \[AIAS-01] Explore the System
From the "Systems" page, you can explore all the Systems within the sandbox. A System is the application being optimized; in our example, it is called "Auth service". You can get to this page either by selecting it on the sidebar or by following the link in the header of the opened Offline Study.
As you can see, the System is represented by several components, whose parameters and metrics you can explore:
* The JVM powering the application. In this example, we selected to optimize 5 common JVM parameters like heap size and garbage collector (click on the card for the full set of 61 parameters for the OpenJDK 11 runtime)
* The Kubernetes Container, whose parameters CPU and Memory limits and requests have all been selected in the optimization scope
* The Kubernetes Workload, which tracks deployment-level metrics like the number of pod replicas
* The Web Application, whose metrics are used to measure the impact of the configurations experimented during the study, including the cost and the application performance metrics
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