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, tracking kubernetes container restarts, or finding periods of peak traffic, 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.

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