Add support for google_compute_autoscaler autoscalingPolicy.cpuUtiliz…

…ation.predictiveMethod (#4523) (#8547) Co-authored-by: upodroid <[email protected]> Signed-off-by: Modular Magician <[email protected]> Co-authored-by: upodroid <[email protected]>
hashicorp · Feb 24, 2021 · 88ba149 · 88ba149
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diff --git a/.changelog/4523.txt b/.changelog/4523.txt
@@ -0,0 +1,3 @@
+```release-note:enhancement
+compute: added autoscaling_policy.cpu_utilization.predictive_method field to `google_compute_autoscaler` and `google_compute_region_autoscaler`
+```
diff --git a/website/docs/r/compute_autoscaler.html.markdown b/website/docs/r/compute_autoscaler.html.markdown
@@ -357,6 +357,12 @@ The `cpu_utilization` block supports:
   specified or until the average utilization reaches the target
   utilization.
 
+* `predictive_method` -
+  (Optional, [Beta](https://terraform.io/docs/providers/google/guides/provider_versions.html))
+  Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are:
+  - NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics.
+  - OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.
+
 The `metric` block supports:
 
 * `name` -

diff --git a/website/docs/r/compute_region_autoscaler.html.markdown b/website/docs/r/compute_region_autoscaler.html.markdown
@@ -269,6 +269,12 @@ The `cpu_utilization` block supports:
   specified or until the average utilization reaches the target
   utilization.
 
+* `predictive_method` -
+  (Optional, [Beta](https://terraform.io/docs/providers/google/guides/provider_versions.html))
+  Indicates whether predictive autoscaling based on CPU metric is enabled. Valid values are:
+  - NONE (default). No predictive method is used. The autoscaler scales the group to meet current demand based on real-time metrics.
+  - OPTIMIZE_AVAILABILITY. Predictive autoscaling improves availability by monitoring daily and weekly load patterns and scaling out ahead of anticipated demand.
+
 The `metric` block supports:
 
 * `name` -