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# Introduction to the DataPrime cookbook

The DataPrime Cookbook is a collection of concise, copy-pasteable recipes designed to help you solve common log analysis and observability tasks faster. Each recipe focuses on a ready-to-use query designed to answer a specific question, flag a condition, or extract a useful signal from your data, and wraps it in a compact format that’s easy to adapt.

Recipes are grouped by use cases, like [converting timestamps](https://coralogix.com/docs/docs/dataprime/cookbook/convert_timestamp/.md), [tracking kubernetes container restarts](https://coralogix.com/docs/docs/dataprime/cookbook/container_restart/.md), or [finding periods of peak traffic](https://coralogix.com/docs/docs/dataprime/cookbook/peak_traffic/.md), so you can quickly find the operation that matches what you're trying to accomplish.

Each recipe includes:

* A practical problem statement in plain language
* A drop-in DataPrime query you can paste directly into Explore (may require tweaking)
* Optional variations or gotchas to watch for

Whether you’re tuning dashboards, automating workflows, or fighting off a Decepti-bug in production, these recipes aim to be your go-to toolkit. Search by function, find the pattern, and drop it in.