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Docs: Added known bugs to release highlights when upgrading to 6.5.0
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clintongormley committed Nov 15, 2018
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<titleabbrev>6.5.0</titleabbrev>
++++

Each release of {kib} brings new features and product improvements.
Here are the highlights of the features that were added in 6.5.0 and
[WARNING]
.Known Bugs
============================
There is a known bug when upgrading to Kibana 6.5.0 when Security is enabled.
If you are using Security, please wait for 6.5.1 to be released before
upgrading.
============================

Each release of {kib} brings new features and product improvements.
Here are the highlights of the features that were added in 6.5.0 and
how the user experience improved.

Refer to the <<release-notes-6.5.0, {kib} 6.5.0 Release Notes>> for a list of bug fixes and
Refer to the <<release-notes-6.5.0, {kib} 6.5.0 Release Notes>> for a list of bug fixes and
other changes.

[float]
=== Organize your work in spaces

<<xpack-spaces, Spaces>> is one of our most highly requested features. Spaces allow you to organize
your saved objects into meaningful categories. For example, you might place all
sales visuals in a sales space and all logging objects in a logging space.
<<xpack-spaces, Spaces>> is one of our most highly requested features. Spaces allow you to organize
your saved objects into meaningful categories. For example, you might place all
sales visuals in a sales space and all logging objects in a logging space.

[role="screenshot"]
image::images/highlights_6_5_select-space.png[Select your space dashboard]

You can create as many spaces as you need, change spaces at any time, and move
saved objects between spaces. With security enabled, you can control which roles
You can create as many spaces as you need, change spaces at any time, and move
saved objects between spaces. With security enabled, you can control which roles
and users have access to which spaces using role-based access control (RBAC).

To create, edit, and delete spaces, use *Management > Spaces*.
To create, edit, and delete spaces, use *Management > Spaces*.
Or, if you prefer to create your spaces programmatically, you can use the <<spaces-api, {kib} Spaces API>>.

[float]
=== Monitor cross-cluster replication (beta)

Monitoring includes a new UI for monitoring {ref}/ccr-apis.html[cross-cluster replication] as a beta
feature in 6.5. Cross-cluster replication gives you resiliency in case the primary
cluster fails--a secondary cluster serves as a hot backup. With the UI, you can
Monitoring includes a new UI for monitoring {ref}/ccr-apis.html[cross-cluster replication] as a beta
feature in 6.5. Cross-cluster replication gives you resiliency in case the primary
cluster fails--a secondary cluster serves as a hot backup. With the UI, you can
monitor how indices are replicated from one cluster to another and view detailed
information on the leader index, the following indices, and the shards.
information on the leader index, the following indices, and the shards.
You’ll also get verification on whether the replication process is viable.

[role="screenshot"]
Expand All @@ -44,17 +52,17 @@ image::images/highlights_6_5_cross-cluster.png[Monitoring for cross-cluster dash
[float]
=== Showcase your data in Canvas (beta)

<<canvas, Canvas>> is {kib}’s new place for showcasing your data live in a pixel-perfect design.
Starting with a blank workpad, you can create a story about your data by combining
static content (text, images, and shapes) with data-driven elements (charts, tables,
images, and many others). Each dynamic element is connected to a sample data
source by default, so you can experiment with it before connecting to your own data.
Canvas supports multiple languages for querying Elasticsearch: es docs, SQL, and Timelion syntax.

Canvas tools have rich styling capabilities, allowing users to change colors and
styles of both static and dynamic elements. Canvas is designed so you can tweak
an element’s content and style using the UI, or go deeper and edit the expressions
that create the element or the css styling. In short, Canvas gives you everything
<<canvas, Canvas>> is {kib}’s new place for showcasing your data live in a pixel-perfect design.
Starting with a blank workpad, you can create a story about your data by combining
static content (text, images, and shapes) with data-driven elements (charts, tables,
images, and many others). Each dynamic element is connected to a sample data
source by default, so you can experiment with it before connecting to your own data.
Canvas supports multiple languages for querying Elasticsearch: es docs, SQL, and Timelion syntax.

Canvas tools have rich styling capabilities, allowing users to change colors and
styles of both static and dynamic elements. Canvas is designed so you can tweak
an element’s content and style using the UI, or go deeper and edit the expressions
that create the element or the css styling. In short, Canvas gives you everything
you need to showcase your live data, your way.

[role="screenshot"]
Expand All @@ -64,11 +72,11 @@ image::images/highlights_6_5_canvas.png[Canvas workpad with sample flight data s
=== Create and manage rollup jobs

{kib} has a new <<data-rollups, Rollup UI>> for creating, starting, stopping, and deleting rollup
jobs. Rollups is a recent addition to Elasticsearch and {ref}/rollup-apis.html[APIs for creating and
managing rollups] have been available since 6.4. A rollup index summarizes historical
data and stores it compactly for future analysis, so you can query, aggregate,
and visualize this data using a fraction of the storage. A rollup job is a periodic
task that aggregates the data for the rollup index. To navigate to the UI, go to
jobs. Rollups is a recent addition to Elasticsearch and {ref}/rollup-apis.html[APIs for creating and
managing rollups] have been available since 6.4. A rollup index summarizes historical
data and stores it compactly for future analysis, so you can query, aggregate,
and visualize this data using a fraction of the storage. A rollup job is a periodic
task that aggregates the data for the rollup index. To navigate to the UI, go to
*Management*, and under *Elasticsearch*, click *Rollup Jobs*.

[role="screenshot"]
Expand All @@ -77,12 +85,12 @@ image::images/highlights_6_5_rollup.png[Create a rollup job dashboard]
[float]
=== View rolled up data in visualizations (beta)

{kib} now has <<visualize-rollup-data, beta features for visualizing rolled up data>>.
You can create index
patterns that use rollup indices or mix rollup and raw indices to visualize all
data together. Most visualizations support rolled up data, with the exception of
Timelion, Visual Builder, and Vega visualizations. You can also create dashboards
that use visualizations based on rolled up and raw data. Finally, both rolled up
{kib} now has <<visualize-rollup-data, beta features for visualizing rolled up data>>.
You can create index
patterns that use rollup indices or mix rollup and raw indices to visualize all
data together. Most visualizations support rolled up data, with the exception of
Timelion, Visual Builder, and Vega visualizations. You can also create dashboards
that use visualizations based on rolled up and raw data. Finally, both rolled up
and raw data are available in Discover.

[role="screenshot"]
Expand All @@ -91,27 +99,27 @@ image::images/highlights_6_5_rollup-viz.png[Beats management UI]
[float]
=== Manage your Beats in a central location (beta)

The Beats management UI is your one-stop shop for centrally managing your Beats
deployments. This new UI saves you time because you no longer have to log onto the
machine where the Beat is deployed to conduct configuration updates. From the UI,
you can manage the enrollment of multiple Beats and update their configurations as
a fleet. You must have security enabled to access the Beats UI. This feature is
initially only available for Filebeat and Metricbeat.
The Beats management UI is your one-stop shop for centrally managing your Beats
deployments. This new UI saves you time because you no longer have to log onto the
machine where the Beat is deployed to conduct configuration updates. From the UI,
you can manage the enrollment of multiple Beats and update their configurations as
a fleet. You must have security enabled to access the Beats UI. This feature is
initially only available for Filebeat and Metricbeat.

[role="screenshot"]
image::images/highlights_6_5_beats.png[Beats management UI]

[float]
=== Monitor and manage your infrastructure (beta)

{kib} has two new beta features for logging and metrics use cases, Infrastructure
and Logs, both available from the side navigation. With Infrastructure, you can
explore infrastructure metrics and logs for common servers, containers, and services.
{kib} has two new beta features for logging and metrics use cases, Infrastructure
and Logs, both available from the side navigation. With Infrastructure, you can
explore infrastructure metrics and logs for common servers, containers, and services.

[role="screenshot"]
image::images/highlights_6_5_kubernetes.png[Example infrastructure management dashboard]

Using Logs, you can stream logs in real time or scroll through historical views in
Using Logs, you can stream logs in real time or scroll through historical views in
a console-like experience

[role="screenshot"]
Expand All @@ -120,28 +128,28 @@ image::images/highlights_6_5_logs.gif[Animated view of log management features]
[float]
=== Distributed tracing in APM (beta)

The APM UI now supports distributed tracing as a beta feature in 6.5. Distributed
tracing enables you to analyze and view performance throughout your microservices
architecture by tracing all requests. These requests range from the initial web
request to your frontend service to queries made to your backend services.
This gives you a trace of how your services interact with one another and enables
you to pinpoint bottlenecks faster.
The APM UI now supports distributed tracing as a beta feature in 6.5. Distributed
tracing enables you to analyze and view performance throughout your microservices
architecture by tracing all requests. These requests range from the initial web
request to your frontend service to queries made to your backend services.
This gives you a trace of how your services interact with one another and enables
you to pinpoint bottlenecks faster.

[role="screenshot"]
image::images/highlights_6_5_tracing.png[Example of tracing data in APM UI]

[float]
=== Get started with two new sample data sets

{kib} has two new, one-click sample data sets tailored to the new user experience.
If you’re interested in business analytics, install the eCommerce data set, which
has visualizations for product-related information, such as cost, revenue, and price.
If you’re looking to analyze website traffic, check out the web logs sample data set.
{kib} has two new, one-click sample data sets tailored to the new user experience.
If you’re interested in business analytics, install the eCommerce data set, which
has visualizations for product-related information, such as cost, revenue, and price.
If you’re looking to analyze website traffic, check out the web logs sample data set.
To access the sample data, go to the {kib} home page and click *Load a data set and a {kib} dashboard*.

Each sample is prepackaged with a dashboard and a Canvas
workpad. The workpad for the eCommerce sample includes two different styles for
the same data. The workpads are a hands-on way for new users to
Each sample is prepackaged with a dashboard and a Canvas
workpad. The workpad for the eCommerce sample includes two different styles for
the same data. The workpads are a hands-on way for new users to
learn Canvas.

[role="screenshot"]
Expand All @@ -150,12 +158,12 @@ image::images/highlights_6_5_sample-canvas.png[Canvas workpad included with new
[float]
=== Visualize data from a log file

Machine learning features are now available for users on a Basic license. The Data
Visualizer helps you understand the metrics and fields in your data in preparation
for further analysis. With the new File Data Visualizer, you can upload a CSV, NDJSON,
or log file. The File Data Visualizer uses the new File Structure API to identify
the file format and field mappings. You can then choose to import the data into an
Elasticsearch index. The log file import feature is experimental in 6.5, and is
Machine learning features are now available for users on a Basic license. The Data
Visualizer helps you understand the metrics and fields in your data in preparation
for further analysis. With the new File Data Visualizer, you can upload a CSV, NDJSON,
or log file. The File Data Visualizer uses the new File Structure API to identify
the file format and field mappings. You can then choose to import the data into an
Elasticsearch index. The log file import feature is experimental in 6.5, and is
limited to files up to 100 MB in size.

[role="screenshot"]
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