# Shyft Search Documentation

## Overview

ShyftSearch is a log search and analytics tool designed to quickly find insights across large log datasets

> <mark style="color:blue;">**What it can do ?**</mark> ShyftSearch enables users to search, schedule searches, and analyze logs from any source or format. It connects directly to AWS S3, Azure Blob, GCP Storage, and other object stores, fetching logs in real time or from archives. Users can perform instant or automated scheduled searches, extract fields using regex, and visualize results through interactive dashboards.

> <mark style="color:blue;">**How it is different ?**</mark> ShyftSearch handles diverse data sources with minimal configuration. Unlike other platforms that store complete datasets and increase storage costs, ShyftSearch stores only the metadata, fetching required data from the source cloud storage on demand and caching it temporarily for faster access. It integrates with Splunk, OpenSearch, and multiple cloud platforms simultaneously, enabling efficient archived data searches while reducing overhead and overall costs.


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# 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://supercloudnow.gitbook.io/supercloudnow-docs/shyft-search-documentation.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.