250 lines
9.9 KiB
Plaintext
250 lines
9.9 KiB
Plaintext
[[release-highlights-7.2.0]]
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== 7.2.0 release highlights
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++++
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<titleabbrev>7.2.0</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 feature and user experience changes in 7.2.0.
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Refer to the {kib} <<breaking-changes-7.2, breaking changes>> and <<release-notes-7.2.0,
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release notes>> for a list of bug fixes and other changes.
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//NOTE: The notable-highlights tagged regions are re-used in the
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//Installation and Upgrade Guide
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// tag::notable-highlights[]
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// end::notable-highlights[]
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[float]
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=== Feature controls
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Want to hide Dev Tools from the left navigation? Show Stack Monitoring only to
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admins? Or, give certain users access to only Dashboard and Canvas?
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<<kibana-role-management, Feature controls>> allow you to hide and
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restrict applications and features in the {kib} UI.
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[role="screenshot"]
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image::release-notes/images/7.2-feature-controls.png[Feature controls]
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You can configure {kib} applications and features based on your users’ needs,
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and when used with security, based on their privileges. This means different
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roles can have access to different features in the same space. Power users
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might have privileges to create and edit visualizations and dashboards,
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while analysts or executives might have Dashboard and Canvas with
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read-only privileges.
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[role="screenshot"]
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image::release-notes/images/7.2-space-privileges.png[Space privileges]
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[float]
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=== Saved Object Import and Export API
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{kib} has new APIs for <<saved-objects-api-import, importing>> and
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<<saved-objects-api-export, exporting>> saved objects, including dashboards,
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visualizations, index patterns, maps, Canvas workpads, and advanced settings.
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A benefit of this new API is that it automatically exports the dependencies
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of the saved object. Just export the dashboard you need and its visualizations
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and index patterns are exported as well. You can use the new APIs in the Management UI,
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or call them directly.
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[role="screenshot"]
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image::release-notes/images/7.2-saved-objects.png[Saved objects]
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[float]
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=== Rolled up data in Time Series Visual Builder
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Time Series Visual Builder now has features for visualizing rolled up data. Similar
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to Visualize, you can create index patterns that use rollup indices or mix rollup
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and raw indices to visualize all data together. You can also create multiple
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y-axes with different index patterns or rollup indices in the same chart.
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When you specify the index in Visual Builder, you must explicitly state the
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rollup name. Visual Builder will not include a rollup index if you use a wildcard.
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See https://github.com/elastic/kibana/pull/28762[PR #28762]
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for details.
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[float]
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=== Canvas enhancements
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Canvas provides enhancements to custom elements, workpad filtering, and autoplay.
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[float]
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==== Custom elements
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Elements, such as charts, metrics, shapes, and images, are the building blocks
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of a Canvas workpad. You can combine these elements to create new and interesting
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presentations of your data. Your custom element might be as simple as a metric
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on top of a geometric shape. Or, you might create a more complex grouping backed
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by queries and conditional statements.
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With 7.2, you can save custom elements for reuse across your workpads. This
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reduces the need for copy and paste. It also enables you to share your custom
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elements with your teammates.
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[role="screenshot"]
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image::release-notes/images/7.2-canvas-custom-elements.png[Canvas custom elements]
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[float]
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==== Filter groups
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If you’ve used the time or dropdown filter elements in Canvas, you know that
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they apply to the entire workpad (and not just the page they are in). This
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behavior is still the default, but you can now choose which elements are
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affected by specific filters. This gives you more options for exploring data
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visualizations.
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[role="screenshot"]
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image::release-notes/images/7.2-canvas-filters.png[Canvas custom elements]
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[float]
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==== Autoplay
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As part of the ongoing work to provide kiosk mode in Canvas, version 7.2
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introduces the ability to autoplay your workpad pages. Once enabled, full screen
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mode automatically cycles through your workpad pages based on the time interval
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you define.
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[float]
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=== Snapshot repositories
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This release introduces phase one of the {kib} Snapshot UI for managing backups
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of your {es} indices and clusters. Snapshots are important because they provide
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a copy of your data in case something goes wrong. If you need to roll back to an
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older version of your data, you can restore a snapshot from the repository.
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Use the Snapshot UI to register new repositories, edit existing ones, and drill down into
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details about your repositories and snapshots. See <<snapshot-repositories, Snapshot repositories>>
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for step-by-step instructions. Additional snapshot and recovery features are
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planned for upcoming versions.
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[role="screenshot"]
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image::release-notes/images/7.2-snapshot-repositories.png[Snapshot repositories]
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[float]
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=== Maps in dashboards and other improvements
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beta[]The Maps app now adds the ability to include your saved map on a
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dashboard. You can view and interact with your geospatial data alongside
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bar charts, pie charts, and other visualizations. Click the map to
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quickly hone in on the data you desire, and that data is shown across the dashboard,
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similar to how you interact with other visualization types. See
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<<maps-embedding, Adding a map to a dashboard>> for step-by-step instructions.
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[role="screenshot"]
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image::release-notes/images/7.2-maps.png[Embedded map in dark mode]
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Additional improvements to the new Maps app include:
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* *Dark mode.* Building on the support for dark mode in {kib} 7.0, the
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Elastic Maps Service now publishes dark themed tiles. This means that the
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Maps app now fully respects dark mode.
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* *Collapsible map legends.* Use this feature to get an unobstructed
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view of a map in a dashboard.
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* *Class styling.* With this style, you can symbolize map features by class.
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Use layer filtering to define the class for each layer, and static styling to
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symbolize each class. See <<maps-vector-style-class>> for an example.
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[float]
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=== {kib} in Japanese
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{kib} now supports Japanese, in addition to Simplified Chinese and English.
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If you’d like to use {kib} with Japanese, set `i18n.locale` to `ja-JP` in your
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`kibana.yml` file. The Japanese localization is a work in progress.
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We welcome your feedback in the form of a https://github.com/elastic/kibana/issues[Github issue].
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You can also https://github.com/elastic/kibana/pulls[issue a pull request in GitHub].
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[role="screenshot"]
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image::release-notes/images/7.2-localization.jpg[Kibana in Japanese]
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[float]
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=== {dataframes-cap}
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beta[] Machine Learning now enables you to transform your data with
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{ref}/transforms.html[{dataframes}]. A
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new wizard guides you through the process of creating a {dataframe}: selecting
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the source data, the fields you want to group by, and the aggregations for
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pivoting the data. There is also a preview of the transform for reviewing the configuration.
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[role="screenshot"]
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image::release-notes/images/7.2-data-frames.png[{dataframes-cap}]
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{transforms-cap} are managed on a new list page, displaying the details and
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status of each {transform}, and controls for starting, stopping, or deleting {transforms}.
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[role="screenshot"]
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image::release-notes/images/7.2-data-frames-list-view.png[{dataframes-cap}]
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[float]
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=== Search for influencers in Anomaly Explorer
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A query bar is now available in the Machine Learning Anomaly Explorer, which
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enables you to filter anomaly results for one or more selected influencers.
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The query bar suggests influencer field names and values for the selected jobs
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as you type.
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[float]
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=== Simplified creation of {ml} jobs for sample data sets and {metricbeat} data
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If you use the {kib} sample data sets, there are now {ml} jobs for the
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sample eCommerce orders and the sample web logs. These jobs demonstrate a
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variety of ways that you can detect anomalous behavior in the sample data. You
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can add the jobs when you <<add-sample-data,load the sample data>> or use the
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supplied configuration when you are creating jobs in the Machine Learning app.
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Likewise, if you use the
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{metricbeat-ref}/metricbeat-module-system.html[{metricbeat} system module] to
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monitor your servers, there is a {ml} wizard that recognizes this type of data.
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For example, with the supplied configuration you can detect unusual increases in
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disk utilization:
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[role="screenshot"]
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image::release-notes/images/7.2-metricbeat-ml-modules.png[Embedded map in dark mode]
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These wizards expedite the creation of pre-configured jobs, dashboards, searches,
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and visualizations. For more information, see <<ml-jobs>>.
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[float]
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=== View recent log entries alongside your monitoring data
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You can now see your cluster's recent log entries within the *Stack Monitoring*
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application:
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[role="screenshot"]
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image::release-notes/images/7.2-monitoring-logs.png["Monitoring recent {es} logs"]
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See <<elasticsearch-metrics>>. If you want to see earlier log entries, you can
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follow a link to the <<xpack-logs,Logs UI>> and continue your investigation
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there.
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TIP: You must use {filebeat} to collect the logs.
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//See {ref}/configuring-filebeat.html[Collecting {es} log data with {filebeat}].
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[float]
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=== Observability
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Observability has two new notable features.
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* Metrics Explorer is a new view in the Infrastructure app. Metrics Explorer
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enhances how you interact with infrastructure metrics in an ad hoc way.
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* APM agents now collect language-specific metrics, in addition to the common
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key performance indicators. These new metrics are automatically displayed in the APM UI.
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For more information, visit the https://www.elastic.co/blog/elastic-observability-update-7-2-0[Observability blog].
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[float]
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=== Give us your feedback
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Enjoy all the new features and functionality in {kib} 7.2. Play around with them
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locally or on the https://www.elastic.co/cloud/elasticsearch-service[Elasticsearch Service]
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and reach out on the https://discuss.elastic.co/c/kibana[Kibana Discuss forum]
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if you have any questions or feedback.
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