> 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-workflow.md).

# \[AIAS-01] Explore the Workflow

From the "Workflows" page, you can explore all the Workflows within the sandbox: these define all the steps used to automate the performance optimization process. Open the Workflow for our example study, "Auth service", and explore it by selecting the tasks in the diagram.

<figure><img src="/files/0UgUjNHIo19w2SIloYFd" alt=""><figcaption></figcaption></figure>

Akamas executes the steps defined in the workflow for each tuning experiment.

In this example, the Workflow performs the following tasks:

* Write the new configuration (parameter values recommended by Akamas AI) to the K8s deployment file
* Start the load test (in this study, this was done by leveraging a JMeter integration, as illustrated in the [architecture overview](/quick-guides/quick-guides-akamas-in-a-sandbox/aias-01-guide-explore-an-optimization-study-for-a-kubernetes-microservices-application/aias-01-architecture-overview.md))
* Calculate the cloud cost associated with this configuration.


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