Add docs about timeslice SLI

docs/en/observability/slo-create.asciidoc

@@ -26,6 +26,7 @@ The type of SLI to use depends on the location of your data:
 
 * <<custom-kql-sli, Custom KQL>> — create an SLI based on raw logs coming from your services.
 * <<custom-metric-sli, Custom metric>> — create an SLI to define custom equations from metric fields in your indices.
+* <<timeslice-metric-sli, Timeslice metric>> — create an SLI based on a custom equation that uses multiple aggregations.
 * <<histogram-metric-sli, Histogram metric>> — create an SLI based on histogram metrics.
 * <<apm-latency-and-availability-sli, APM latency and APM availability>> — create an SLI based on services using application performance monitoring (APM).
 
@@ -44,7 +45,7 @@ When defining a custom KQL SLI, set the following fields:
 * *Query filter* — A KQL filter to specify relevant criteria by which to filter the index documents.
 * *Good query* — The query yielding events that are considered good or successful. For example, `nested.field.response.latency <= 100 and nested.field.env : “production”`
 * *Total query* — The query yielding all events to take into account for computing the SLI. For example, `nested.field.env : “production”`.
-* *Partition by* — The field used to partition the data based on the values of the specific field. For example, you could partition by the `url.domain` field, which would create individual SLOs for each value of the selected field.
+* *Group by* — The field used to group the data based on the values of the specific field. For example, you could group by the `url.domain` field, which would create individual SLOs for each value of the selected field.
 
 [discrete]
 [[custom-metric-sli]]
@@ -68,7 +69,37 @@ When defining a custom metric SLI, set the following fields:
 ** *Metric [A-Z]* — The field that is aggregated using the `sum` aggregation for total events. For example, `processor.processed`
 ** *Filter [A-Z]* — The filter to apply to the metric for total events. For example, `"processor.outcome: *"`
 ** *Equation* — The equation that calculates the total metric. For example, `A`.
-* *Partition by* — The field used to partition the data based on the values of the specific field. For example, you could partition by the `url.domain` field, which would create individual SLOs for each value of the selected field.
+* *Group by* — The field used to group the data based on the values of the specific field. For example, you could group by the `url.domain` field, which would create individual SLOs for each value of the selected field.
+
+[discrete]
+[[timeslice-metric-sli]]
+== Timeslice metric
+
+Create an indicator based on a custom equation that uses statistical aggregations and a threshold to determine whether a slice is good or bad.
+Supported aggregations include `Average`, `Max`, `Min`, `Sum`, `Cardinality`, `Last value`, `Std. deviation`, `Doc count`, and `Percentile`.
+The equation supports basic math and logic.
+
+NOTE: This indicator requires you to use the `Timeslices` budgeting method.
+
+*Example:* You can define an indicator to determine whether a Kubernetes StatefulSet is healthy.
+First you set the query filter to `orchestrator.cluster.name: "elastic-k8s" AND kubernetes.namespace: "my-ns" AND data_stream.dataset: "kubernetes.state_statefulset"`.
+Then you define an equation that compares the number of ready (healthy) replicas to the number of observed replicas:
+`A == B ? 1 : 0`, where `A` retrieves the last value of `kubernetes.statefulset.replicas.ready` and `B` retrieves the last value of `kubernetes.statefulset.replicas.observed`.
+The equation returns `1` if the condition `A == B` is true (indicating the same number of replicas) or `0` if it's false. If the value is less than 1, you can determine that the Kubernetes StatefulSet is unhealthy.
+
+When defining a timeslice metric SLI, set the following fields:
+
+* *Source*
+** *Index* — The data view or index pattern you want to base the SLI on. For example, `metrics-*:metrics-*`.
+** *Timestamp field* — The timestamp field used by the index.
+** *Query filter* — A KQL filter to specify relevant criteria by which to filter the index documents. For example, `orchestrator.cluster.name: "elastic-k8s" AND kubernetes.namespace: "my-ns" AND data_stream.dataset: "kubernetes.state_statefulset"`.
+* *Metric definition*
+** *Aggregation [A-Z]* — The type of aggregation to use.
+** *Field [A-Z]* — The field to use in the aggregation. For example, `kubernetes.statefulset.replicas.ready`.
+** *Filter [A-Z]* — The filter to apply to the metric.
+** *Equation* — The equation that calculates the total metric. For example, `A == B ? 1 : 0`.
+** *Comparator* - The type of comparison to perform.
+** *Threshold* - The value to use along with the comparator to determine if the slice is good or bad.
 
 [discrete]
 [[histogram-metric-sli]]
@@ -98,7 +129,7 @@ When defining a histogram metric SLI, set the following fields:
 ** *From* — (`range` aggregation only) The starting value of the range for total events. For example, `0`.
 ** *To* — (`range` aggregation only) The ending value of the range for total events. For example, `100`.
 ** *KQL filter* — The filter for total events. For example, `"processor.outcome : *"`.
-* *Partition by* — The field used to partition the data based on the values of the specific field. For example, you could partition by the `url.domain` field, which would create individual SLOs for each value of the selected field.
+* *Group by* — The field used to group the data based on the values of the specific field. For example, you could group by the `url.domain` field, which would create individual SLOs for each value of the selected field.
 
 [discrete]
 [[apm-latency-and-availability-sli]]