Merge branch 'master' into alerting/refresh-on-deletion

* master: (154 commits)
  [ML] Fix initial plugin's bundle size (elastic#74047)
  [Ingest Manager] prevent crash on unhandled rejection from setupIngestManager (elastic#74300)
  [Logs UI] Correct trial period duration in anomaly splash screen (elastic#74249)
  [Discover] Inline noWhiteSpace function (elastic#74331)
  [DOCS] Add Observability topic (elastic#73041)
  skip flaky suite (elastic#74327)
  [Security Solution][Detections] Fixes Severity Override not matching for Elastic Endpoint Security rule (elastic#74317)
  [Security Solution][Exceptions] - Fixes exceptions builder nested deletion issue and adds unit tests (elastic#74250)
  Fixed Alert details does not update page title and breadcrumb (elastic#74214)
  [src/dev/build] build Kibana Platform bundles from source (elastic#73591)
  [Reporting] Shorten asset path to help CLI FS Watcher (elastic#74185)
  Fix TMS not loaded in legacy maps (elastic#73570)
  [Security Solution] styling for notes' panel (elastic#74274)
  [Security Solution][Tech Debt] cleans up ts-ignore issues and some smaller linter issues  (elastic#74268)
  Make the actions plugin support generics (elastic#71439)
  [Security Solution] Keep original note creator (elastic#74203)
  [CI] Fix xpack kibana build dir in xpack visual regression script
  [CI] Fix baseline_capture job by adding parallel process number back
  [Monitoring] Ensure setup mode works on cloud but only for alerts (elastic#73127)
  [Maps] Custom color ramps should show correctly on the map for mvt layers (elastic#74169)
  ...

Author: gmmorris

.ci/Dockerfile

@@ -0,0 +1,38 @@
+# NOTE: This Dockerfile is ONLY used to run certain tasks in CI. It is not used to run Kibana or as a distributable.
+# If you're looking for the Kibana Docker image distributable, please see: src/dev/build/tasks/os_packages/docker_generator/templates/dockerfile.template.ts
+
+ARG NODE_VERSION=10.21.0
+
+FROM node:${NODE_VERSION} AS base
+
+RUN apt-get update && \
+    apt-get -y install xvfb gconf-service libasound2 libatk1.0-0 libc6 libcairo2 libcups2 \
+      libdbus-1-3 libexpat1 libfontconfig1 libgcc1 libgconf-2-4 libgdk-pixbuf2.0-0 libglib2.0-0 \
+      libgtk-3-0 libnspr4 libpango-1.0-0 libpangocairo-1.0-0 libstdc++6 libx11-6 libx11-xcb1 libxcb1 \
+      libxcomposite1 libxcursor1 libxdamage1 libxext6 libxfixes3 libxi6 libxrandr2 libxrender1 libxss1 \
+      libxtst6 ca-certificates fonts-liberation libappindicator1 libnss3 lsb-release xdg-utils wget openjdk-8-jre && \
+    rm -rf /var/lib/apt/lists/*
+
+RUN curl -sSL https://dl.google.com/linux/linux_signing_key.pub | apt-key add - \
+  && sh -c 'echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google.list' \
+  && apt-get update \
+  && apt-get install -y rsync jq bsdtar google-chrome-stable \
+  --no-install-recommends \
+  && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+
+RUN LATEST_VAULT_RELEASE=$(curl -s https://api.github.com/repos/hashicorp/vault/tags | jq --raw-output .[0].name[1:]) \
+  && curl -L https://releases.hashicorp.com/vault/${LATEST_VAULT_RELEASE}/vault_${LATEST_VAULT_RELEASE}_linux_amd64.zip -o vault.zip \
+  && unzip vault.zip \
+  && rm vault.zip \
+  && chmod +x vault \
+  && mv vault /usr/local/bin/vault
+
+RUN groupadd -r kibana && useradd -r -g kibana kibana && mkdir /home/kibana && chown kibana:kibana /home/kibana
+
+COPY ./bash_standard_lib.sh /usr/local/bin/bash_standard_lib.sh
+RUN chmod +x /usr/local/bin/bash_standard_lib.sh
+
+COPY ./runbld /usr/local/bin/runbld
+RUN chmod +x /usr/local/bin/runbld
+
+USER kibana

.ci/Jenkinsfile_baseline_capture

@@ -7,18 +7,22 @@ kibanaPipeline(timeoutMinutes: 120) {
   githubCommitStatus.trackBuild(params.commit, 'kibana-ci-baseline') {
     ciStats.trackBuild {
       catchError {
-        parallel([
-          'oss-visualRegression': {
-            workers.ci(name: 'oss-visualRegression', size: 's-highmem', ramDisk: true) {
-              kibanaPipeline.functionalTestProcess('oss-visualRegression', './test/scripts/jenkins_visual_regression.sh')(1)
-            }
-          },
-          'xpack-visualRegression': {
-            workers.ci(name: 'xpack-visualRegression', size: 's-highmem', ramDisk: true) {
-              kibanaPipeline.functionalTestProcess('xpack-visualRegression', './test/scripts/jenkins_xpack_visual_regression.sh')(1)
-            }
-          },
-        ])
+        withEnv([
+          'CI_PARALLEL_PROCESS_NUMBER=1'
+        ]) {
+          parallel([
+            'oss-visualRegression': {
+              workers.ci(name: 'oss-visualRegression', size: 's-highmem', ramDisk: true) {
+                kibanaPipeline.functionalTestProcess('oss-visualRegression', './test/scripts/jenkins_visual_regression.sh')()
+              }
+            },
+            'xpack-visualRegression': {
+              workers.ci(name: 'xpack-visualRegression', size: 's-highmem', ramDisk: true) {
+                kibanaPipeline.functionalTestProcess('xpack-visualRegression', './test/scripts/jenkins_xpack_visual_regression.sh')()
+              }
+            },
+          ])
+        }
       }
 
       kibanaPipeline.sendMail()

.ci/pipeline-library/src/test/slackNotifications.groovy

@@ -9,6 +9,7 @@ class SlackNotificationsTest extends KibanaBasePipelineTest {
     super.setUp()
 
     helper.registerAllowedMethod('slackSend', [Map.class], null)
+    prop('buildState', loadScript("vars/buildState.groovy"))
     slackNotifications = loadScript('vars/slackNotifications.groovy')
   }
 
@@ -25,13 +26,49 @@ class SlackNotificationsTest extends KibanaBasePipelineTest {
   }
 
   @Test
-  void 'sendFailedBuild() should call slackSend() with message'() {
+  void 'sendFailedBuild() should call slackSend() with an in-progress message'() {
     mockFailureBuild()
 
     slackNotifications.sendFailedBuild()
 
     def args = fnMock('slackSend').args[0]
 
+    def expected = [
+      channel: '#kibana-operations-alerts',
+      username: 'Kibana Operations',
+      iconEmoji: ':jenkins:',
+      color: 'danger',
+      message: ':hourglass_flowing_sand: elastic / kibana # master #1',
+    ]
+
+    expected.each {
+      assertEquals(it.value.toString(), args[it.key].toString())
+    }
+
+    assertEquals(
+      ":hourglass_flowing_sand: *<http://jenkins.localhost:8080/job/elastic+kibana+master/1/|elastic / kibana # master #1>*",
+      args.blocks[0].text.text.toString()
+    )
+
+    assertEquals(
+      "*Failed Steps*\n• <http://jenkins.localhost:8080|Execute test task>",
+      args.blocks[1].text.text.toString()
+    )
+
+    assertEquals(
+      "*Test Failures*\n• <https://localhost/|x-pack/test/functional/apps/fake/test·ts.Fake test &lt;Component&gt; should &amp; pass &amp;>",
+      args.blocks[2].text.text.toString()
+    )
+  }
+
+  @Test
+  void 'sendFailedBuild() should call slackSend() with message'() {
+    mockFailureBuild()
+
+    slackNotifications.sendFailedBuild(isFinal: true)
+
+    def args = fnMock('slackSend').args[0]
+
     def expected = [
       channel: '#kibana-operations-alerts',
       username: 'Kibana Operations',
@@ -65,7 +102,7 @@ class SlackNotificationsTest extends KibanaBasePipelineTest {
     mockFailureBuild()
     def counter = 0
     helper.registerAllowedMethod('slackSend', [Map.class], { ++counter > 1 })
-    slackNotifications.sendFailedBuild()
+    slackNotifications.sendFailedBuild(isFinal: true)
 
     def args = fnMocks('slackSend')[1].args[0]
 
@@ -88,6 +125,29 @@ class SlackNotificationsTest extends KibanaBasePipelineTest {
     )
   }
 
+  @Test
+  void 'sendFailedBuild() should call slackSend() with a channel id and timestamp on second call'() {
+    mockFailureBuild()
+    helper.registerAllowedMethod('slackSend', [Map.class], { [ channelId: 'CHANNEL_ID', ts: 'TIMESTAMP' ] })
+    slackNotifications.sendFailedBuild(isFinal: false)
+    slackNotifications.sendFailedBuild(isFinal: true)
+
+    def args = fnMocks('slackSend')[1].args[0]
+
+    def expected = [
+      channel: 'CHANNEL_ID',
+      timestamp: 'TIMESTAMP',
+      username: 'Kibana Operations',
+      iconEmoji: ':jenkins:',
+      color: 'danger',
+      message: ':broken_heart: elastic / kibana # master #1',
+    ]
+
+    expected.each {
+      assertEquals(it.value.toString(), args[it.key].toString())
+    }
+  }
+
   @Test
   void 'getTestFailures() should truncate list of failures to 10'() {
     prop('testUtils', [

.ci/runbld_no_junit.yml

@@ -3,4 +3,4 @@
 profiles:
 - ".*": # Match any job
     tests:
-      junit-filename-pattern: "8d8bd494-d909-4e67-a052-7e8b5aaeb5e4" # A bogus path that should never exist
+      junit-filename-pattern: false

.eslintrc.js

@@ -529,6 +529,7 @@ module.exports = {
         'x-pack/test_utils/**/*',
         'x-pack/gulpfile.js',
         'x-pack/plugins/apm/public/utils/testHelpers.js',
+        'x-pack/plugins/canvas/shareable_runtime/postcss.config.js',
       ],
       rules: {
         'import/no-extraneous-dependencies': [

.gitignore

@@ -49,6 +49,8 @@ npm-debug.log*
 .tern-project
 .nyc_output
 .ci/pipeline-library/build/
+.ci/runbld
+.ci/bash_standard_lib.sh
 .gradle
 
 # apm plugin

Jenkinsfile

@@ -4,59 +4,18 @@ library 'kibana-pipeline-library'
 kibanaLibrary.load()
 
 kibanaPipeline(timeoutMinutes: 155, checkPrChanges: true, setCommitStatus: true) {
-  githubPr.withDefaultPrComments {
-    ciStats.trackBuild {
-      catchError {
-        retryable.enable()
-        parallel([
-          'kibana-intake-agent': workers.intake('kibana-intake', './test/scripts/jenkins_unit.sh'),
-          'x-pack-intake-agent': workers.intake('x-pack-intake', './test/scripts/jenkins_xpack.sh'),
-          'kibana-oss-agent': workers.functional('kibana-oss-tests', { kibanaPipeline.buildOss() }, [
-            'oss-firefoxSmoke': kibanaPipeline.functionalTestProcess('kibana-firefoxSmoke', './test/scripts/jenkins_firefox_smoke.sh'),
-            'oss-ciGroup1': kibanaPipeline.ossCiGroupProcess(1),
-            'oss-ciGroup2': kibanaPipeline.ossCiGroupProcess(2),
-            'oss-ciGroup3': kibanaPipeline.ossCiGroupProcess(3),
-            'oss-ciGroup4': kibanaPipeline.ossCiGroupProcess(4),
-            'oss-ciGroup5': kibanaPipeline.ossCiGroupProcess(5),
-            'oss-ciGroup6': kibanaPipeline.ossCiGroupProcess(6),
-            'oss-ciGroup7': kibanaPipeline.ossCiGroupProcess(7),
-            'oss-ciGroup8': kibanaPipeline.ossCiGroupProcess(8),
-            'oss-ciGroup9': kibanaPipeline.ossCiGroupProcess(9),
-            'oss-ciGroup10': kibanaPipeline.ossCiGroupProcess(10),
-            'oss-ciGroup11': kibanaPipeline.ossCiGroupProcess(11),
-            'oss-ciGroup12': kibanaPipeline.ossCiGroupProcess(12),
-            'oss-accessibility': kibanaPipeline.functionalTestProcess('kibana-accessibility', './test/scripts/jenkins_accessibility.sh'),
-            // 'oss-visualRegression': kibanaPipeline.functionalTestProcess('visualRegression', './test/scripts/jenkins_visual_regression.sh'),
-          ]),
-          'kibana-xpack-agent': workers.functional('kibana-xpack-tests', { kibanaPipeline.buildXpack() }, [
-            'xpack-firefoxSmoke': kibanaPipeline.functionalTestProcess('xpack-firefoxSmoke', './test/scripts/jenkins_xpack_firefox_smoke.sh'),
-            'xpack-ciGroup1': kibanaPipeline.xpackCiGroupProcess(1),
-            'xpack-ciGroup2': kibanaPipeline.xpackCiGroupProcess(2),
-            'xpack-ciGroup3': kibanaPipeline.xpackCiGroupProcess(3),
-            'xpack-ciGroup4': kibanaPipeline.xpackCiGroupProcess(4),
-            'xpack-ciGroup5': kibanaPipeline.xpackCiGroupProcess(5),
-            'xpack-ciGroup6': kibanaPipeline.xpackCiGroupProcess(6),
-            'xpack-ciGroup7': kibanaPipeline.xpackCiGroupProcess(7),
-            'xpack-ciGroup8': kibanaPipeline.xpackCiGroupProcess(8),
-            'xpack-ciGroup9': kibanaPipeline.xpackCiGroupProcess(9),
-            'xpack-ciGroup10': kibanaPipeline.xpackCiGroupProcess(10),
-            'xpack-accessibility': kibanaPipeline.functionalTestProcess('xpack-accessibility', './test/scripts/jenkins_xpack_accessibility.sh'),
-            'xpack-savedObjectsFieldMetrics': kibanaPipeline.functionalTestProcess('xpack-savedObjectsFieldMetrics', './test/scripts/jenkins_xpack_saved_objects_field_metrics.sh'),
-            'xpack-securitySolutionCypress': { processNumber ->
-              whenChanged(['x-pack/plugins/security_solution/', 'x-pack/test/security_solution_cypress/', 'x-pack/plugins/triggers_actions_ui/public/application/sections/action_connector_form/', 'x-pack/plugins/triggers_actions_ui/public/application/context/actions_connectors_context.tsx']) {
-                kibanaPipeline.functionalTestProcess('xpack-securitySolutionCypress', './test/scripts/jenkins_security_solution_cypress.sh')(processNumber)
-              }
-            },
-
-            // 'xpack-visualRegression': kibanaPipeline.functionalTestProcess('xpack-visualRegression', './test/scripts/jenkins_xpack_visual_regression.sh'),
-          ]),
-        ])
+  slackNotifications.onFailure(disabled: !params.NOTIFY_ON_FAILURE) {
+    githubPr.withDefaultPrComments {
+      ciStats.trackBuild {
+        catchError {
+          retryable.enable()
+          kibanaPipeline.allCiTasks()
+        }
       }
     }
   }
 
   if (params.NOTIFY_ON_FAILURE) {
-    slackNotifications.onFailure()
     kibanaPipeline.sendMail()
   }
 }

docs/apm/images/apm-anomaly-alert.png

@@ -1,36 +1,61 @@
 [role="xpack"]
 [[machine-learning-integration]]
-===  integration
+=== Machine learning integration
 
 ++++
 <titleabbrev>Integrate with machine learning</titleabbrev>
 ++++
 
-The Machine Learning integration initiates a new job predefined to calculate anomaly scores on APM transaction durations.
-Jobs can be created per transaction type, and are based on the service's average response time.
+The Machine learning integration initiates a new job predefined to calculate anomaly scores on APM transaction durations.
+With this integration, you can quickly pinpoint anomalous transactions and see the health of
+any upstream and downstream services.
 
-After a machine learning job is created, results are shown in two places:
+Machine learning jobs are created per environment, and are based on a service's average response time.
+Because jobs are created at the environment level,
+you can add new services to your existing environments without the need for additional machine learning jobs.
 
-The transaction duration graph will show the expected bounds and add an annotation when the anomaly score is 75 or above.
+After a machine learning job is created, results are shown in two places:
 
+* The transaction duration chart will show the expected bounds and add an annotation when the anomaly score is 75 or above.
++
 [role="screenshot"]
 image::apm/images/apm-ml-integration.png[Example view of anomaly scores on response times in the APM app]
 
-Service maps will display a color-coded anomaly indicator based on the detected anomaly score.
-
+* Service maps will display a color-coded anomaly indicator based on the detected anomaly score.
++
 [role="screenshot"]
 image::apm/images/apm-service-map-anomaly.png[Example view of anomaly scores on service maps in the APM app]
 
 [float]
 [[create-ml-integration]]
-=== Create a new machine learning job
+=== Enable anomaly detection
+
+To enable machine learning anomaly detection:
+
+. From the Services overview, Traces overview, or Service Map tab,
+select **Anomaly detection**.
+
+. Click **Create ML Job**.
 
-To enable machine learning anomaly detection, first choose a service to monitor.
-Then, select **Integrations** > **Enable ML anomaly detection** and click **Create job**.
+. Machine learning jobs are created at the environment level.
+Select all of the service environments that you want to enable anomaly detection in.
+Anomalies will surface for all services and transaction types within the selected environments.
+
+. Click **Create Jobs**.
 
 That's it! After a few minutes, the job will begin calculating results;
-it might take additional time for results to appear on your graph.
-Jobs can be managed in *Machine Learning jobs management*.
+it might take additional time for results to appear on your service maps.
+Existing jobs can be managed in *Machine Learning jobs management*.
 
 APM specific anomaly detection wizards are also available for certain Agents.
 See the machine learning {ml-docs}/ootb-ml-jobs-apm.html[APM anomaly detection configurations] for more information.
+
+[float]
+[[warning-ml-integration]]
+=== Anomaly detection warning
+
+To make machine learning as easy as possible to set up,
+the APM app will warn you when filtered to an environment without a machine learning job.
+
+[role="screenshot"]
+image::apm/images/apm-anomaly-alert.png[Example view of anomaly alert in the APM app]

docs/apm/machine-learning.asciidoc

@@ -4,6 +4,9 @@
 
 ## AssistanceAPIResponse interface
 
+> Warning: This API is now obsolete.
+> 
+> 
 
 <b>Signature:</b>