186 lines
6.7 KiB
Plaintext
186 lines
6.7 KiB
Plaintext
[[release-highlights-6.4.0]]
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== 6.4.0 release highlights
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++++
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<titleabbrev>6.4.0</titleabbrev>
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++++
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Each release of {kib} brings new features and product improvements.
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Here are the highlights of the features that were added in 6.4.0 and
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how the user experience improved.
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Refer to the <<release-notes-6.4.0, Kibana 6.4.0 Release Notes>> for a list of bug fixes and
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other changes.
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[float]
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=== One-click sample data
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To improve the getting started experience, {kib} has a sample data
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set that enables you to take {kib} for a test ride without having to
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go through the process of loading data yourself. With one click,
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you can install a Flight data set and start interacting with {kib}
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visualizations in seconds.
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To access the sample data, go to the {kib} home page and click
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the link next to *Sample Data*.
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[role="screenshot"]
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image::images/highlights_6_4_dashboard.png[Global Flight dashboard]
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[float]
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=== Improved workflow for inspecting data
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If you’ve used a spy panel in the past to inspect the data behind a
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visualization, you’ll notice that this feature has been given a facelift.
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It’s also easier to access— you can inspect visualizations
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from multiple places in the UI. On a dashboard, open the panel
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menu for a visualization and select *Inspect*. In the visualization editor,
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click *Inspect* in the menu bar.
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[role="screenshot"]
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image::images/highlights_6_4_inspector.png[Visualization inspector]
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[float]
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=== New Beta tutorials
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You'll find new Beta tutorials on the *Add Data* page. The majority of these tutorials are
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for Metricbeat modules that fetch metrics from services. These tutorials include the Beta
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label to indicate that they are a pre-release of the software.
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To access the tutorials, go to the {kib} home page. In *Add Data to {kib}*,
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find the data type you’re interested in and click its button to view a
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list of available tutorials.
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[role="screenshot"]
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image::images/highlights_6_4_beta_tutorial.png[Add data tutorial with Beta label]
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[float]
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=== Saved Objects refresh
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*Saved Objects* in *Management* has a new look. The updated page
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provides the same features in terms of filtering, importing,
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exporting, and deleting of saved objects, plus three main improvements:
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* You can now import and export index patterns.
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* Importing saved objects has a more user-friendly workflow.
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* A new *Relationship* view allows you to view how other objects
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use an object, so you know the impact of deleting it.
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[role="screenshot"]
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image::images/highlights_6_4_saved_objects.png[Saved Objects Relationship view]
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[float]
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=== Scripted fields preview
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*Index patterns* in *Management* now allows you
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to test run a <<scripted-fields, script>> to see if your scripted fields work as intended.
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If your results require more context, you can easily include more fields in
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the test run.
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To try out this feature, open *Index patterns > Scripted fields*.
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Add or edit a scripted field and click *Get help with syntax and
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preview the results or your script*.
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Scripts are validated on save. You can’t save a script that
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won't compile.
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[role="screenshot"]
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image::images/highlights_6_4_script.png[Script preview]
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[float]
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=== Custom rules for fine tuning machine learning results
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If you want to fine tune your machine learning results
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(for example, to skip anomalies related to certain servers),
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you can now create custom rules in {kib}. Custom rules instruct
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anomaly detectors to change their behavior based on domain-specific
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knowledge that you provide. See
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https://www.elastic.co/guide/en/machine-learning/6.4/ml-rules.html[machine learning custom rules].
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[role="screenshot"]
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image::images/highlights_6_4_ml_create_rule.jpg[Machine learning create rule]
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[float]
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=== Improved usability for managing machine learning jobs
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The *Machine Learning > Job Management* page has a new look, which comes with
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better searching, filtering, and multi-select options, enabling you to
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manage multiple jobs with fewer clicks.
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[role="screenshot"]
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image::images/highlights_6-4_ml_jobs.jpg[Machine learning job management]
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[float]
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=== Response time anomalies with machine learning in APM
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The APM UI now integrates with machine learning to show anomalies in
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response times on transactions. This makes catching unexpected behavior in your
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services much easier by annotating critical anomalies on top of the response times graph.
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It’s a one-click setup in the APM UI to get the job running.
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This feature is in Beta for 6.4.
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[role="screenshot"]
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image::images/highlights_6_4_apm_response.png[Response time anomalies with Machine Learning in APM]
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[float]
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=== New query bar for searching and filtering APM data
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Adding a query will instantly apply to the data shown in graphs and tables,
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making the scope of the data immediately more focused. It comes with a handy
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autocomplete that helps find the fields and even provides suggestions to
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the data they include. This way you can easily filter for transaction response
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times higher than 2000 ms, a particular user ID, or even a response status code.
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This feature is in Beta for 6.4.
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[role="screenshot"]
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image::images/highlights_6_4_apm_query.png[Query bar for searching and filtering APM data]
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[float]
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=== Landing page for Elastic Maps Service
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The Elastic Maps Service powers all geospatial visualizations for
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{kib} by serving up basemaps tiles and vector boundary layers,
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key features that are essential for visualizing geodata. The new
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landing page allows you to preview the data that is published by
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Elastic Maps Service, either as a map or as data.
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You can do a text search for feature properties, or use your mouse
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to see the available properties for each feature. You can also use
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the landing page to download the vector data that is hosted by the
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Elastic Maps Service.
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[role="screenshot"]
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image::images/highlights_6_4_ems.png[Elastic Maps Service landing page]
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[float]
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=== Experimental API docs
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This release adds documentation for these experimental APIs:
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* The <<role-management-api, {kib} role management API>> enables you to control
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access to {kib} features and saved objects.
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* The <<logstash-configuration-management-api, Logstash configuration management API>> allows you to
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programmatically integrate with the Logstash configuration
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management feature.
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{kib} also has documentation for the <<saved-objects-api, saved objects API>>,
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which allows you to manage {kib} saved objects, including dashboards, visualizations, and index patterns.
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[float]
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=== Console enhancements
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The Console has three main improvements:
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* Support for new {es} APIs, including rollups.
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* Links to API documentation. In the Console, right click the tool
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icon for an API endpoint and select *Open documentation*.
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* Improved support for autocompletion.
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See the <<release-notes-6.4.0, {kib} 6.4.0 Release Notes>> for
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a complete list of improvements to the Console.
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