> For the complete documentation index, see [llms.txt](https://docs.digma.ai/digma-developer-guide/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.digma.ai/digma-developer-guide/what-is-a-continuous-feedback-platform.md).

# 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. 

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.

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