# What is a Continuous Feedback platform?

Digma's focus is analyzing observability. The basic premise is that there is a lot of useful information in logs traces and metrics - they just require a lot more processing to glean any insights you can actually use as a developer.  You can think of Digma as a data pipeline. Its main concern is not storing a lot of raw data but aggregating and processing it continuously, looking for anomalies, changes, and useful analytics.&#x20;

Digma ingests observability based on the [OTEL standard](https://opentelemetry.io/) (which it can also automatically collect using the IDE), processes the data, and then exposes insights to the IDE plugin which can map and connect it with the code.

<figure><img src="/files/BQozMTHCmhWmQAUNILUI" alt=""><figcaption></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.digma.ai/digma-developer-guide/what-is-a-continuous-feedback-platform.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.
