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/dev/null +++ b/docs/getting-started/quick-start-guide.asciidoc @@ -0,0 +1,142 @@ +[[get-started]] +== Quick start + +To quickly get up and running with {kib}, set up on Cloud, then add a sample data set that you can explore and analyze. + +When you've finished, you'll know how to: + +* <> + +* <> + +[float] +=== Before you begin +When security is enabled, you must have `read`, `write`, and `manage` privileges on the `kibana_sample_data_*` indices. For more information, refer to {ref}/security-privileges.html[Security privileges]. + +[float] +[[set-up-on-cloud]] +== Set up on cloud + +include::{docs-root}/shared/cloud/ess-getting-started.asciidoc[] + +[float] +[[gs-get-data-into-kibana]] +== Add the sample data + +Sample data sets come with sample visualizations, dashboards, and more to help you explore {kib} without adding your own data. + +. From the home page, click *Try our sample data*. + +. On the *Sample eCommerce orders* card, click *Add data*. ++ +[role="screenshot"] +image::getting-started/images/add-sample-data.png[] + +[float] +[[explore-the-data]] +== Explore the data + +*Discover* displays an interactive histogram that shows the distribution of of data, or documents, over time, and a table that lists the fields for each document that matches the index. By default, all fields are shown for each matching document. + +. Open the menu, then click *Discover*. + +. Change the <> to *Last 7 days*. ++ +[role="screenshot"] +image::images/tutorial-discover-2.png[] + +. To focus in on the documents you want to view, use the <>. In the *KQL* search field, enter: ++ +[source,text] +products.taxless_price >= 60 AND category : Women's Clothing ++ +The query returns the women's clothing orders for $60 and more. ++ +[role="screenshot"] +image::images/tutorial-discover-4.png[] + +. Hover over the list of *Available fields*, then click *+* next to the fields you want to view in the table. ++ +For example, when you add the *category* field, the table displays the product categories for the orders. ++ +[role="screenshot"] +image::images/tutorial-discover-3.png[] ++ +For more information, refer to <>. + +[float] +[[view-and-analyze-the-data]] +== View and analyze the data + +A dashboard is a collection of panels that you can use to view and analyze the data. Panels contain visualizations, interactive controls, Markdown, and more. + +. Open the menu, then click *Dashboard*. + +. Click *[eCommerce] Revenue Dashboard*. ++ +[role="screenshot"] +image::getting-started/images/tutorial-sample-dashboard.png[] + +[float] +[[filter-and-query-the-data]] +=== Filter the data + +To focus in on the data you want to view on the dashboard, use filters. + +. From the *Controls* visualization, make a selection from the *Manufacturer* and *Category* dropdowns, then click *Apply changes*. ++ +For example, the following dashboard shows the data for women's clothing from Gnomehouse. ++ +[role="screenshot"] +image::getting-started/images/tutorial-sample-filter.png[] + +. To manually add a filter, click *Add filter*, then specify the options. ++ +For example, to view the orders for Wednesday, select *day_of_week* from the *Field* dropdown, select *is* from the *Operator* dropdown, then select *Wednesday* from the *Value* dropdown. ++ +[role="screenshot"] +image::getting-started/images/tutorial-sample-filter2.png[] + +. When you are done, remove the filters. ++ +For more information, refer to <>. + +[float] +[[create-a-visualization]] +=== Create a visualization + +To create a treemap that shows the top regions and manufacturers, use *Lens*, then add the treemap to the dashboard. + +. From the {kib} toolbar, click *Edit*, then click *Create new*. + +. On the *New Visualization* window, click *Lens*. + +. From the *Available fields* list, drag and drop the following fields to the visualization builder: + +* *geoip.city_name* + +* *manufacturer.keyword* ++ +. From the visualization dropdown, select *Treemap*. ++ +[role="screenshot"] +image::getting-started/images/tutorial-visualization-dropdown.png[Visualization dropdown with Treemap selected] + +. Click *Save*. + +. On the *Save Lens visualization*, enter a title and make sure *Add to Dashboard after saving* is selected, then click *Save and return*. ++ +The treemap appears as the last visualization on the dashboard. ++ +[role="screenshot"] +image::getting-started/images/tutorial-final-dashboard.gif[Final dashboard with new treemap visualization] ++ +For more information, refer to <>. + +[float] +[[quick-start-whats-next]] +== What's next? + +If you are you ready to add your own data, refer to <>. + +If you want to ingest your data, refer to {ingest-guide}/ingest-management-getting-started.html[Quick start: Get logs and metrics into the Elastic Stack]. diff --git a/docs/getting-started/tutorial-discovering.asciidoc b/docs/getting-started/tutorial-discovering.asciidoc deleted file mode 100644 index 99a07acf987917..00000000000000 --- a/docs/getting-started/tutorial-discovering.asciidoc +++ /dev/null @@ -1,35 +0,0 @@ -[[explore-your-data]] -=== Explore your data - -With *Discover*, you use {ref}/query-dsl-query-string-query.html#query-string-syntax[Elasticsearch -queries] to explore your data and narrow the results with filters. - -. Open the menu, then go to *Discover*. -+ -The `shakes*` index pattern appears. - -. To make `ba*` the index, click the *Change Index Pattern* dropdown, then select `ba*`. -+ -By default, all fields are shown for each matching document. - -. In the *Search* field, enter the following, then click *Update*: -+ -[source,text] -account_number<100 AND balance>47500 -+ -The search returns all account numbers between zero and 99 with balances in -excess of 47,500. Results appear for account numbers 8, 32, 78, 85, and 97. -+ -[role="screenshot"] -image::images/tutorial-discover-2.png[Image showing the search results for account numbers between zero and 99, with balances in excess of 47,500] -+ -. Hover over the list of *Available fields*, then -click *Add* next to each field you want include in the table. -+ -For example, when you add the `account_number` field, the display changes to a list of five -account numbers. -+ -[role="screenshot"] -image::images/tutorial-discover-3.png[Image showing a dropdown with five account numbers, which match the previous query for account balance] - -Now that you know what your documents contain, it's time to gain insight into your data with visualizations. diff --git a/docs/getting-started/tutorial-sample-data.asciidoc b/docs/getting-started/tutorial-sample-data.asciidoc deleted file mode 100644 index 18ef862272f85c..00000000000000 --- a/docs/getting-started/tutorial-sample-data.asciidoc +++ /dev/null @@ -1,159 +0,0 @@ -[[explore-kibana-using-sample-data]] -== Explore {kib} using sample data - -Ready to get some hands-on experience with {kib}? -In this tutorial, you’ll work with {kib} sample data and learn to: - -* <> - -* <> - -* <> - -NOTE: If security is enabled, you must have `read`, `write`, and `manage` privileges -on the `kibana_sample_data_*` indices. For more information, refer to -{ref}/security-privileges.html[Security privileges]. - -[float] -[[add-the-sample-data]] -=== Add the sample data - -Add the *Sample flight data*. - -. On the home page, click *Load a data set and a {kib} dashboard*. - -. On the *Sample flight data* card, click *Add data*. - -[float] -[[explore-the-data]] -=== Explore the data - -Explore the documents in the index that -match the selected index pattern. The index pattern tells {kib} which {es} index you want to -explore. - -. Open the menu, then go to *Discover*. - -. Make sure `kibana_sample_data_flights` is the current index pattern. -You might need to click *New* in the {kib} toolbar to refresh the data. -+ -You'll see a histogram that shows the distribution of -documents over time. A table lists the fields for -each document that matches the index. By default, all fields are shown. -+ -[role="screenshot"] -image::getting-started/images/tutorial-sample-discover1.png[] - -. Hover over the list of *Available fields*, then click *Add* next -to each field you want explore in the table. -+ -[role="screenshot"] -image::getting-started/images/tutorial-sample-discover2.png[] - -[float] -[[view-and-analyze-the-data]] -=== View and analyze the data - -A _dashboard_ is a collection of panels that provide you with an overview of your data that you can -use to analyze your data. Panels contain everything you need, including visualizations, -interactive controls, Markdown, and more. - -To open the *Global Flight* dashboard, open the menu, then go to *Dashboard*. - -[role="screenshot"] -image::getting-started/images/tutorial-sample-dashboard.png[] - -[float] -[[change-the-panel-data]] -==== Change the panel data - -To gain insights into your data, change the appearance and behavior of the panels. -For example, edit the metric panel to find the airline that has the lowest average fares. - -. In the {kib} toolbar, click *Edit*. - -. In the *Average Ticket Price* metric panel, open the panel menu, then select *Edit visualization*. - -. To change the data on the panel, use an {es} {ref}/search-aggregations.html[bucket aggregation], -which sorts the documents that match your search criteria into different categories or buckets. - -.. In the *Buckets* pane, select *Add > Split group*. - -.. From the *Aggregation* dropdown, select *Terms*. - -.. From the *Field* dropdown, select *Carrier*. - -.. Set *Descending* to *4*, then click *Update*. -+ -The average ticket price for all four airlines appear in the visualization builder. -+ -[role="screenshot"] -image::getting-started/images/tutorial-sample-edit1.png[] - -. To save your changes, click *Save and return* in the {kib} toolbar. - -. To save the dashboard, click *Save* in the {kib} toolbar. -+ -[role="screenshot"] -image::getting-started/images/tutorial-sample-edit2.png[] - -[float] -[[filter-and-query-the-data]] -==== Filter and query the data - -To focus in on the data you want to explore, use filters and queries. -For more information, refer to -{ref}/query-filter-context.html[Query and filter context]. - -To filter the data: - -. In the *Controls* visualization, select an *Origin City* and *Destination City*, then click *Apply changes*. -+ -The `OriginCityName` and the `DestCityName` fields filter the data in the panels. -+ -For example, the following dashboard shows the data for flights from London to Milan. -+ -[role="screenshot"] -image::getting-started/images/tutorial-sample-filter.png[] - -. To manually add a filter, click *Add filter*, -then specify the data you want to view. - -. When you are finished experimenting, remove all filters. - -[[query-the-data]] -To query the data: - -. To view all flights out of Rome, enter the following in the *KQL* query bar, then click *Update*: -+ -[source,text] -OriginCityName: Rome - -. For a more complex query with AND and OR, enter: -+ -[source,text] -OriginCityName:Rome AND (Carrier:JetBeats OR Carrier:"Kibana Airlines") -+ -The dashboard panels update to display the flights out of Rome on JetBeats and -{kib} Airlines. -+ -[role="screenshot"] -image::getting-started/images/tutorial-sample-query.png[] - -. When you are finished exploring, remove the query by -clearing the contents in the *KQL* query bar, then click *Update*. - -[float] -=== Next steps - -Now that you know the {kib} basics, try out the <> tutorial, where you'll learn to: - -* Add a data set to {kib} - -* Define an index pattern - -* Discover and explore data - -* Create and add panels to a dashboard - - diff --git a/docs/getting-started/tutorial-visualizing.asciidoc b/docs/getting-started/tutorial-visualizing.asciidoc deleted file mode 100644 index a53c8cb6bc23d7..00000000000000 --- a/docs/getting-started/tutorial-visualizing.asciidoc +++ /dev/null @@ -1,193 +0,0 @@ -[[tutorial-visualizing]] -=== Visualize your data - -Shape your data using a variety -of {kib} supported visualizations, tables, and more. In this tutorial, you'll create four -visualizations that you'll use to create a dashboard. - -To begin, open the menu, go to *Dashboard*, then click *Create new dashboard*. - -[float] -[[compare-the-number-of-speaking-parts-in-the-play]] -=== Compare the number of speaking parts in the plays - -To visualize the Shakespeare data and compare the number of speaking parts in the plays, create a bar chart using *Lens*. - -. Click *Create new*, then click *Lens* on the *New Visualization* window. -+ -[role="screenshot"] -image::images/tutorial-visualize-wizard-step-1.png[Image showing different options for your new visualization] - -. Make sure the index pattern is *shakes*. - -. Display the play data along the x-axis. - -.. From the *Available fields* list, drag and drop *play_name* to the *X-axis* field. - -.. Click *Top values of play_name*. - -.. From the *Order direction* dropdown, select *Ascending*. - -.. In the *Label* field, enter `Play Name`. - -. Display the number of speaking parts per play along the y-axis. - -.. From the *Available fields* list, drag and drop *speaker* to the *Y-axis* field. - -.. Click *Unique count of speaker*. - -.. In the *Label* field, enter `Speaking Parts`. -+ -[role="screenshot"] -image::images/tutorial-visualize-bar-1.5.png[Bar chart showing the speaking parts data] - -. *Save* the chart with the name `Bar Example`. -+ -To show a tooltip with the number of speaking parts for that play, hover over a bar. -+ -Notice how the individual play names show up as whole phrases, instead of -broken up into individual words. This is the result of the mapping -you did at the beginning of the tutorial, when you marked the `play_name` field -as `not analyzed`. - -[float] -[[view-the-average-account-balance-by-age]] -=== View the average account balance by age - -To gain insight into the account balances in the bank account data, create a pie chart. In this tutorial, you'll use the {es} -{ref}/search-aggregations.html[bucket aggregation] to specify the pie slices to display. The bucket aggregation sorts the documents that match your search criteria into different -categories and establishes multiple ranges of account balances so that you can find how many accounts fall into each range. - -. Click *Create new*, then click *Pie* on the *New Visualization* window. - -. On the *Choose a source* window, select `ba*`. -+ -Since the default search matches all documents, the pie contains a single slice. - -. In the *Buckets* pane, click *Add > Split slices.* - -.. From the *Aggregation* dropdown, select *Range*. - -.. From the *Field* dropdown, select *balance*. - -.. Click *Add range* until there are six rows of fields, then define the following ranges: -+ -[source,text] -0 999 -1000 2999 -3000 6999 -7000 14999 -15000 30999 -31000 50000 - -. Click *Update*. -+ -The pie chart displays the proportion of the 1,000 accounts that fall into each of the ranges. -+ -[role="screenshot"] -image::images/tutorial-visualize-pie-2.png[Pie chart displaying accounts that fall into each of the ranges, scaled to 1000 accounts] - -. Add another bucket aggregation that displays the ages of the account holders. - -.. In the *Buckets* pane, click *Add*, then click *Split slices*. - -.. From the *Sub aggregation* dropdown, select *Terms*. - -.. From the *Field* dropdown, select *age*, then click *Update*. -+ -The break down of the ages of the account holders are displayed -in a ring around the balance ranges. -+ -[role="screenshot"] -image::images/tutorial-visualize-pie-3.png[Final pie chart showing all of the changes] - -. Click *Save*, then enter `Pie Example` in the *Title* field. - -[float] -[role="xpack"] -[[visualize-geographic-information]] -=== Visualize geographic information - -To visualize geographic information in the log file data, use <>. - -. Click *Create new*, then click *Maps* on the *New Visualization* window. - -. To change the time, use the time filter. - -.. Set the *Start date* to `May 18, 2015 @ 12:00:00.000`. - -.. Set the *End date* to `May 20, 2015 @ 12:00:00.000`. -+ -[role="screenshot"] -image::images/gs_maps_time_filter.png[Image showing the time filter for Maps tutorial] - -.. Click *Update* - -. Map the geo coordinates from the log files. - -.. Click *Add layer > Clusters and grids*. - -.. From the *Index pattern* dropdown, select *logstash*. - -.. Click *Add layer*. - -. Specify the *Layer Style*. - -.. From the *Fill color* dropdown, select the yellow to red color ramp. - -.. In the *Border width* field, enter `3`. - -.. From the *Border color* dropdown, select *#FFF*, then click *Save & close*. -+ -[role="screenshot"] -image::images/tutorial-visualize-map-2.png[Example of a map visualization] - -. Click *Save*, then enter `Map Example` in the *Title* field. - -. Add the map to your dashboard. - -.. Open the menu, go to *Dashboard*, then click *Add*. - -.. On the *Add panels* flyout, click *Map Example*. - -[float] -[[tutorial-visualize-markdown]] -=== Add context to your visualizations with Markdown - -Add context to your new visualizations with Markdown text. - -. Click *Create new*, then click *Markdown* on the *New Visualization* window. - -. In the *Markdown* text field, enter: -+ -[source,markdown] -# This is a tutorial dashboard! -The Markdown widget uses **markdown** syntax. -> Blockquotes in Markdown use the > character. - -. Click *Update*. -+ -The Markdown renders in the preview pane. -+ -[role="screenshot"] -image::images/tutorial-visualize-md-2.png[Image showing example markdown editing field] - -. Click *Save*, then enter `Markdown Example` in the *Title* field. - -[role="screenshot"] -image::images/tutorial-dashboard.png[Final visualization with bar chart, pie chart, map, and markdown text field] - -[float] -=== Next steps - -Now that you have the basics, you're ready to start exploring your own system data with {kib}. - -* To add your own data to {kib}, refer to <>. - -* To search and filter your data, refer to {kibana-ref}/discover.html[Discover]. - -* To create a dashboard with your own data, refer to <>. - -* To create maps that you can add to your dashboards, refer to <>. - -* To create presentations of your live data, refer to <>. diff --git a/docs/images/tutorial-discover-2.png b/docs/images/tutorial-discover-2.png index 681e4834de830e..cf217562c37fd9 100644 Binary files a/docs/images/tutorial-discover-2.png and b/docs/images/tutorial-discover-2.png differ diff --git a/docs/images/tutorial-discover-3.png b/docs/images/tutorial-discover-3.png index bbab47acaf9d40..b024ad6dc39fe8 100644 Binary files a/docs/images/tutorial-discover-3.png and b/docs/images/tutorial-discover-3.png differ diff --git a/docs/management/rollups/create_and_manage_rollups.asciidoc b/docs/management/rollups/create_and_manage_rollups.asciidoc index e20f384b5ed181..7324f45594bd74 100644 --- a/docs/management/rollups/create_and_manage_rollups.asciidoc +++ b/docs/management/rollups/create_and_manage_rollups.asciidoc @@ -67,7 +67,7 @@ You can read more at {ref}/rollup-job-config.html[rollup job configuration]. === Try it: Create and visualize rolled up data This example creates a rollup job to capture log data from sample web logs. -To follow along, add the <>. +To follow along, add the sample web logs data set. In this example, you want data that is older than 7 days in the target index pattern `kibana_sample_data_logs` to roll up once a day into the index `rollup_logstash`. You’ll bucket the diff --git a/docs/redirects.asciidoc b/docs/redirects.asciidoc index 209dfa6675eb9e..02dab10b7c8021 100644 --- a/docs/redirects.asciidoc +++ b/docs/redirects.asciidoc @@ -75,7 +75,7 @@ This page has moved. Please see <>. [role="exclude",id="add-sample-data"] == Add sample data -This page has moved. Please see <>. +This page has moved. Please see <>. [role="exclude",id="tilemap"] == Coordinate map @@ -128,3 +128,9 @@ This content has moved. See This content has moved. See {ref}/ccr-getting-started.html#ccr-getting-started-remote-cluster[Connect to a remote cluster]. + +[role="exclude",id="tutorial-define-index"] +== Define your index patterns + +This content has moved. See +<>. diff --git a/docs/setup/connect-to-elasticsearch.asciidoc b/docs/setup/connect-to-elasticsearch.asciidoc index ea02afb8a9fda6..0daa3f1e0e55eb 100644 --- a/docs/setup/connect-to-elasticsearch.asciidoc +++ b/docs/setup/connect-to-elasticsearch.asciidoc @@ -11,7 +11,7 @@ To start working with your data in {kib}, you can: * Connect {kib} with existing {es} indices. -If you're not ready to use your own data, you can add a <> +If you're not ready to use your own data, you can add a <> to see all that you can do in {kib}. [float] diff --git a/docs/user/dashboard/dashboard-drilldown.asciidoc b/docs/user/dashboard/dashboard-drilldown.asciidoc index e50c1281beede5..5e928fd731bb47 100644 --- a/docs/user/dashboard/dashboard-drilldown.asciidoc +++ b/docs/user/dashboard/dashboard-drilldown.asciidoc @@ -39,7 +39,7 @@ Create the *Host Overview* drilldown shown above. *Set up the dashboards* -. Add the <> data set. +. Add the sample web logs data set. . Create a new dashboard, called `Host Overview`, and include these visualizations from the sample data set: diff --git a/docs/user/dashboard/url-drilldown.asciidoc b/docs/user/dashboard/url-drilldown.asciidoc index 620a2d2056bf13..b71dfb016c765f 100644 --- a/docs/user/dashboard/url-drilldown.asciidoc +++ b/docs/user/dashboard/url-drilldown.asciidoc @@ -36,7 +36,7 @@ The following panels support URL drilldowns: This example shows how to create the "Show on Github" drilldown shown above. -. Add the <> data set. +. Add the sample web logs data set. . Open the *[Logs] Web traffic* dashboard. This isn’t data from Github, but it should work for demonstration purposes. . In the dashboard menu bar, click *Edit*. . In *[Logs] Visitors by OS*, open the panel menu, and then select *Create drilldown*. diff --git a/docs/user/getting-started.asciidoc b/docs/user/getting-started.asciidoc deleted file mode 100644 index a877f6a66a79ad..00000000000000 --- a/docs/user/getting-started.asciidoc +++ /dev/null @@ -1,61 +0,0 @@ -[[get-started]] -= Get started - -[partintro] --- - -Ready to try out {kib} and see what it can do? The quickest way to get started with {kib} is to set up on Cloud, then add a sample data set to explore the full range of {kib} features. - -[float] -[[set-up-on-cloud]] -== Set up on cloud - -include::{docs-root}/shared/cloud/ess-getting-started.asciidoc[] - -[float] -[[gs-get-data-into-kibana]] -== Get data into {kib} - -The easiest way to get data into {kib} is to add a sample data set. - -{kib} has several sample data sets that you can use before loading your own data: - -* *Sample eCommerce orders* includes visualizations for tracking product-related information, -such as cost, revenue, and price. - -* *Sample flight data* includes visualizations for monitoring flight routes. - -* *Sample web logs* includes visualizations for monitoring website traffic. - -To use the sample data sets: - -. Go to the home page. - -. Click *Load a data set and a {kib} dashboard*. - -. Click *View data* and view the prepackaged dashboards, maps, and more. - -[role="screenshot"] -image::getting-started/images/add-sample-data.png[] - -NOTE: The timestamps in the sample data sets are relative to when they are installed. -If you uninstall and reinstall a data set, the timestamps change to reflect the most recent installation. - -[float] -== Next steps - -* To get a hands-on experience creating visualizations, follow the <> tutorial. - -* If you're ready to load an actual data set and build a dashboard, follow the <> tutorial. - --- - -include::{kib-repo-dir}/getting-started/tutorial-sample-data.asciidoc[] - -include::{kib-repo-dir}/getting-started/tutorial-full-experience.asciidoc[] - -include::{kib-repo-dir}/getting-started/tutorial-define-index.asciidoc[] - -include::{kib-repo-dir}/getting-started/tutorial-discovering.asciidoc[] - -include::{kib-repo-dir}/getting-started/tutorial-visualizing.asciidoc[] diff --git a/docs/user/index.asciidoc b/docs/user/index.asciidoc index 3d04e163485216..128a676dddc4e9 100644 --- a/docs/user/index.asciidoc +++ b/docs/user/index.asciidoc @@ -2,6 +2,8 @@ include::introduction.asciidoc[] include::whats-new.asciidoc[] +include::{kib-repo-dir}/getting-started/quick-start-guide.asciidoc[] + include::setup.asciidoc[] include::monitoring/configuring-monitoring.asciidoc[leveloffset=+1] @@ -11,8 +13,6 @@ include::monitoring/monitoring-kibana.asciidoc[leveloffset=+2] include::security/securing-kibana.asciidoc[] -include::getting-started.asciidoc[] - include::discover.asciidoc[] include::dashboard/dashboard.asciidoc[] diff --git a/docs/user/introduction.asciidoc b/docs/user/introduction.asciidoc index 079d183dd959dd..7e5dc59b03a2c7 100644 --- a/docs/user/introduction.asciidoc +++ b/docs/user/introduction.asciidoc @@ -155,6 +155,6 @@ and start exploring data in minutes. You can also <> — no code, no additional infrastructure required. -Our <> and in-product guidance can +Our <> and in-product guidance can help you get up and running, faster. Click the help icon image:images/intro-help-icon.png[] in the top navigation bar for help with questions or to provide feedback. diff --git a/docs/user/security/rbac_tutorial.asciidoc b/docs/user/security/rbac_tutorial.asciidoc index cc4af9041bcd9c..bf7be6284b1a99 100644 --- a/docs/user/security/rbac_tutorial.asciidoc +++ b/docs/user/security/rbac_tutorial.asciidoc @@ -28,7 +28,7 @@ To complete this tutorial, you'll need the following: * **A space**: In this tutorial, use `Dev Mortgage` as the space name. See <> for details on creating a space. -* **Data**: You can use <> or +* **Data**: You can use <> or live data. In the following steps, Filebeat and Metricbeat data are used. [float]