[DOCS] Refresh machine learning rule docs

docs/reference/ml/anomaly-detection/ml-configuring-alerts.asciidoc

@@ -30,38 +30,38 @@ ideal for this purpose.
 [[creating-ml-rules]]
 == Creating a rule
 
-You can create {ml} rules in the {anomaly-job} wizard after you start the job, 
-from the job list, or under **{stack-manage-app} > {alerts-ui}**.
-
-On the *Create rule* window, give a name to the rule and optionally provide 
-tags. Specify the time interval for the rule to check detected anomalies or job 
-health changes. It is recommended to select an interval that is close to the 
-bucket span of the job. You can also select a notification option with the 
-_Notify_ selector. An alert remains active as long as the configured conditions 
-are met during the check interval. When there is no matching condition in the 
-next interval, the `Recovered` action group is invoked and the status of the 
-alert changes to `OK`. For more details, refer to the documentation of 
-{kibana-ref}/create-and-manage-rules.html#defining-rules-general-details[general rule details].
-
-Select the rule type you want to create under the {ml} section and continue to 
-configure it depending on whether it is an 
-<<creating-anomaly-alert-rules, {anomaly-detect} alert>> or an 
-<<creating-anomaly-jobs-health-rules, {anomaly-job} health>> rule.
+In *{stack-manage-app} > {rules-ui}*, you can create both types of {ml} rules:
 
 [role="screenshot"]
-image::images/ml-rule.jpg["Creating a new machine learning rule"]
+image::images/ml-rule.png["Creating a new machine learning rule",500]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
+When you create a {ml} rule, you must provide a time interval for the rule to
+check detected anomalies or job health changes. It is recommended to select an
+interval that is close to the bucket span of the job.
+
+You must also select a notification option, which affects how often alerts
+generate actions. Options include running actions at each check interval, only
+when the alert status changes, or at a custom action interval. For more
+information about these options, refer to the
+{kibana-ref}/create-and-manage-rules.html#defining-rules-general-details[General rule details].
+
+In the *{ml-app}* app, you can create only {anomaly-detect} alert rules; create
+them from the {anomaly-job} wizard after you start the job or from the
+{anomaly-job} list.
 
 [[creating-anomaly-alert-rules]]
 === {anomaly-detect-cap} alert
 
-Select the job that the rule applies to.
+When you create an {anomaly-detect} alert rule, you must select the job that
+the rule applies to.
 
-You must select a type of {ml} result. In particular, you can create rules based 
-on bucket, record, or influencer results.
+You must also select a type of {ml} result. In particular, you can create rules
+based  on bucket, record, or influencer results.
 
 [role="screenshot"]
-image::images/ml-anomaly-alert-severity.jpg["Selecting result type, severity, and test interval", 500]
+image::images/ml-anomaly-alert-severity.png["Selecting result type, severity, and test interval", 500]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 For each rule, you can configure the `anomaly_score` that triggers the action. 
 The `anomaly_score` indicates the significance of a given anomaly compared to 
@@ -98,8 +98,9 @@ are met.
 [[creating-anomaly-jobs-health-rules]]
 === {anomaly-jobs-cap} health
 
-Select the job or group that the rule applies to. If you assign more jobs to the 
-group, they are included the next time the rule conditions are checked.
+When you create an {anomaly-jobs} health rule, you must select the job or group
+that the rule applies to. If you assign more jobs to the group, they are
+included the next time the rule conditions are checked.
 
 You can also use a special character (`*`) to apply the rule to all your jobs. 
 Jobs created after the rule are automatically included. You can exclude jobs 
@@ -131,7 +132,8 @@ _Errors in job messages_::
   that occur after the rule is created; it does not look at historic behavior.
 
 [role="screenshot"]
-image::images/ml-health-check-config.jpg["Selecting health checkers"]
+image::images/ml-health-check-config.png["Selecting health checkers",500]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
 As the last step in the rule creation process, 
 <<defining-actions, define the actions>> that occur when the conditions
@@ -141,43 +143,35 @@ are met.
 [[defining-actions]]
 == Defining actions
 
-Connect your rule to actions that use supported built-in integrations by 
-selecting a connector type. Connectors are {kib} services or third-party 
-integrations that perform an action when the rule conditions are met or the 
-alert is recovered. You can select in which case the action will run.
-
-[role="screenshot"]
-image::images/ml-anomaly-alert-actions.jpg["Selecting connector type"]
-
-For example, you can choose _Slack_ as a connector type and configure it to send 
-a message to a channel you selected. You can also create an index connector that 
-writes the JSON object you configure to a specific index. It's also possible to 
-customize the notification messages. A list of variables is available to include 
-in the message, like job ID, anomaly score, time, top influencers, {dfeed} ID, 
-memory status and so on based on the selected rule type. Refer to 
-<<action-variables>> to see the full list of available variables by rule type.
+Your rule can use connectors, which are {kib} services or supported third-party
+integrations that run actions when the rule conditions are met or when the 
+alert is recovered. For details about creating connectors, refer to
+{kibana-ref}/action-types.html[Connectors].
 
+For example, you can use a Slack connector to send a message to a channel. Or
+you can use an index connector that writes an JSON object to a specific index.
+It's also possible to customize the notification messages. There is a set of
+variables that you can include in the message depending on the rule type; refer
+to <<action-variables>>.
 
 [role="screenshot"]
-image::images/ml-anomaly-alert-messages.jpg["Customizing your message"]
-
-After you save the configurations, the rule appears in the *{alerts-ui}* list 
-where you can check its status and see the overview of its configuration 
-information.
+image::images/ml-anomaly-alert-messages.png["Customizing your message",500]
+// NOTE: This is an autogenerated screenshot. Do not edit it directly.
 
-The name of an alert is always the same as the job ID of the associated 
-{anomaly-job} that triggered it. You can mute the notifications for a particular 
-{anomaly-job} on the page of the rule that lists the individual alerts. You can 
-open it via *{alerts-ui}* by selecting the rule name.
+After you save the configurations, the rule appears in the
+*{stack-manage-app} > {rules-ui}* list; you can check its status and see the
+overview of its configuration information.
 
+When an alert occurs, it is always the same name as the job ID of the associated 
+{anomaly-job} that triggered it. If necessary, you can snooze rules to prevent
+them from generating actions. For more details, refer to
+{kibana-ref}/create-and-manage-rules.html#controlling-rules[Snooze and disable rules].
 
 [[action-variables]]
 == Action variables
 
-You can add different variables to your action. The following variables are 
-specific to the {ml} rule types. An `*` marks the variables that can be used for 
-actions of recovered alerts.
-
+The following variables are specific to the {ml} rule types. An asterisk (`*`)
+marks the variables that you can use in actions related to recovered alerts.
 
 [[anomaly-alert-action-variables]]
 === {anomaly-detect-cap} alert action variables