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new quickstart page for collecting data

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stevebang 2019-01-23 21:48:06 -08:00
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_More information about collecting data with InfluxDB v2.0 is coming shortly._
**Note: More guides appearing shortly!**
The following guides will give you a taste of how you can use the InfluxDB user
interface (UI) to collect data into InfluxDB 2.0 buckets and display the data
in dashboards.
{{< children >}}

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---
title: Quick start to collecting system metrics from InfluxDB 2.0 OSS
seotitle: Quick start to collecting data from InfluxDB 2.0 OSS
description: >
Use the InfluxDB 2.0 user interface to quickly configure Telegraf plugins and start monitoring system statistics.
menu:
v2_0:
name: Quick start to collect system metrics
parent: Collect data
weight: 1
---
Follow the steps described here to quickly configure Telegraf plugins and to
start collecting system metrics from your InfluxDB 2.0 OSS instance.
## Configure a connection for available Telegraf plugins
Follow the steps below to configure your Telegraf plugins and connection for
collecting system statistics.
1. Open a web browser to your InfluxDB 2.0 instance [localhost:9999](http://localhost:9999).
The login screen for the UI (user interface) appears.
2. Log in using your username and password. The **Getting started with InfluxDB 2.0** screen appears.
3. Click **Configure a Data Collector**. A new dialog appears with the **Telegraf** selected.
4. Click **Create Configuration**. The **Data Loading** page appears.
5. Select your predefined **Bucket**, click the **System** option, and then
click **Continue**. A page with **Plugins to Configure** appears.
6. Review the list of **Plugins to Configure**. Click **Continue** repeatedly to cycle through
information on each of the plugins and then continue to the next step. Alternatively, click
**Skip to Verify** to proceed to the next step.
7. On the **Listen for Telegraf Data** page, follow the steps to install Telegraf,
configure your API Token, and start Telegraf on your local instance.
8. Verify that you correctly completed these steps by clicking **Listen for Data** (if you don't
see this, scroll down the internal frame). A "Connection Found!" message appears.
9. After verifying your new connection, click **Finish**. Your configuration name
and the associated bucket name appears in the list of Telegraf connections.
After configuring your Telegraf plugins and connection, you can create a dashboard
that displays your system statistics.
## Create a dashboard to display system statistics
The steps below will guide you to creating a dashboard and adding a cell that
displays a system measurement that your InfluxDB 2.0 server instance is now collecting.
1. Click **Dashboards** in the navigation bar on the left. You should see the
**Dashboards** page that lists any existing dashboards.
2. Click **Create Dashboard**. A new dashboard appears.
3. Click **Name this Dashboard** and enter a name (for example, "System Stats").
4. Click **Add Cell**. A new page appears to define a cell to appear in your
new dashboard.
5. Click **Name this Cell** and enter a cell name (for example, "Maximum CPU Usage").
6. In the lower left, select the bucket that is collecting your system statistics.
Under **_measurement**, a listing of available measurements appears.
7. Click **cpu**. A new **_field** listing appears.
8. Scroll down the list and select **usage_system**. A new **cpu** listing appears.
9. In the **cpu** listing, select **cpu-total**.
10. In the **AGGREGATE FUNCTIONS** listing on the right, select **max**.
11. Click **Submit**, located above **AGGREGATE FUNCTIONS**. A line graph displaying
recently collected data appears.
12. To finish adding the cell, click the green box with a check symbol (located in the
upper right of the page). Your new dashboard with one cell now appears.
You have now created a dashboard with one cell displaying a system measurement based on
data collected using the Telegraf plugins and connection that you configured. You can
continue to explore the new time series data being collected in your bucket by creating
new cells and trying out different visualizations and cell displays.