# Dashboard

## Overview

The [dashboard](https://cloud.hoverfly.io/dashboard) allows you to manage Services and Scenarios, quickly start and stop them.

Services and Scenarios on the dashboard include a Journal which logs all activity. Journal entries can be filtered by HTTP status code (eg. 501) or using text search. Note the search fields work together - status code is ANDed with text search, blank values are ignored.

## Services

Click “+ Add” to add a new service to the dashboard — it will start running automatically

**Status**

Status displays running or paused

**Name**

Click for information about the running service and to view the Journal.

**Mode**

Modes can be selected if the service has been configured with a target URL (see Create Simulations for more information about modes)

**Simulation**

Click the simulation name to view and update the running simulation.

**Actions**

*Show Usage* — shows how to use the service using `curl` or Hoverfly Cloud CLI\
\&#xNAN;*Behavior* — set the behavior of a service\
\&#xNAN;*Journal* — hover over to see a tool-tip with summary statistics, click to view the Journal

In the context menu:\
\&#xNAN;*Start* — start a paused service\
\&#xNAN;*Pause* — pause a running service\
\&#xNAN;*Reset* — clear the simulation data, journal entries and state of the service\
\&#xNAN;*Delete* — delete a service from the dashboard

*Re-import simulation* — overwrite the running simulation with the latest one

*Edit Journal Indexing* — edit the indexes configured for the service

## Scenarios

The Scenarios panel shows running scenarios\
Click the > icon to view the services inside the scenario. The same capabilities described above are available for each service.


---

# 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.cloud.hoverfly.io/dashboard.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.