# Integrating with pipelines

Akamas can integrate virtually with any pipeline tools to support the ability to optimize systems as part of a Continous Integration / Continous Delivery (CI/CD) process.

<figure><img src="/files/VjPdAnnYJyL3cxlyAHpK" alt=""><figcaption></figcaption></figure>

When integrated into a CI/CD process, the Akamas optimization becomes an additional step that can ensure a new version that is being released will not cause incidents due to bad configurations pushed to production that nobody has time to look at and that can require adjustments to make the new release perform best.

By integrating Akamas in the CI/CD pipeline, it is possible to also ensure the new release is not only passing functional and security tests but also that:

* performance regressions with respect to previous builds are avoided, such as regressions with respect to some key performance indicators (or SLOs) such as service response time or resource consumption;

<figure><img src="/files/38YiCPsFwSzYqdBNuIPG" alt=""><figcaption><p>Reactive optimization: in-the-pipe remediation (optimization task is triggered by quality gate)</p></figcaption></figure>

* configuration settings are properly tailored for the new release, thus avoiding configuration bottlenecks (e.g. wrong JVM settings or smaller Kubernetes pod resources for the new release) and decreasing the risk of performance or availability incidents.

<figure><img src="/files/8GMGPTWGZzUoL5Eo4BV6" alt=""><figcaption><p>Proactive optimization in-the-pipe</p></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.akamas.io/akamas-docs/3.5.0/integrating/integrating-value-stream-delivery.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
