chore: Update discovery artifacts (#1291)
* chore: update docs/dyn/index.md
* chore(abusiveexperiencereport): update the api
* chore(acceleratedmobilepageurl): update the api
* chore(accessapproval): update the api
* chore(accesscontextmanager): update the api
* chore(adexchangebuyer2): update the api
* chore(adexperiencereport): update the api
* chore(admob): update the api
* chore(analytics): update the api
* chore(analyticsreporting): update the api
* chore(androiddeviceprovisioning): update the api
* chore(androidenterprise): update the api
* chore(androidpublisher): update the api
* chore(apigateway): update the api
* chore(artifactregistry): update the api
* chore(bigqueryconnection): update the api
* chore(bigquerydatatransfer): update the api
* chore(billingbudgets): update the api
* chore(binaryauthorization): update the api
* chore(blogger): update the api
* chore(books): update the api
* chore(calendar): update the api
* chore(chat): update the api
* chore(chromeuxreport): update the api
* chore(civicinfo): update the api
* chore(classroom): update the api
* chore(cloudbilling): update the api
* chore(cloudbuild): update the api
* chore(clouddebugger): update the api
* chore(clouderrorreporting): update the api
* chore(cloudfunctions): update the api
* chore(cloudidentity): update the api
* chore(cloudiot): update the api
* chore(cloudkms): update the api
* chore(cloudprofiler): update the api
* chore(cloudresourcemanager): update the api
* chore(cloudscheduler): update the api
* chore(cloudshell): update the api
* chore(cloudtasks): update the api
* chore(cloudtrace): update the api
* chore(composer): update the api
* chore(containeranalysis): update the api
* chore(content): update the api
* chore(customsearch): update the api
* chore(datacatalog): update the api
* chore(datafusion): update the api
* chore(datamigration): update the api
* chore(datastore): update the api
* chore(deploymentmanager): update the api
* chore(digitalassetlinks): update the api
* chore(displayvideo): update the api
* chore(dlp): update the api
* chore(dns): update the api
* chore(docs): update the api
* chore(domains): update the api
* chore(domainsrdap): update the api
* chore(doubleclickbidmanager): update the api
* chore(doubleclicksearch): update the api
* chore(drive): update the api
* chore(driveactivity): update the api
* chore(eventarc): update the api
* chore(factchecktools): update the api
* chore(fcm): update the api
* chore(file): update the api
* chore(firebase): update the api
* chore(firebasedatabase): update the api
* chore(firebasedynamiclinks): update the api
* chore(firebasehosting): update the api
* chore(firebaseml): update the api
* chore(firebaserules): update the api
* chore(firestore): update the api
* chore(fitness): update the api
* chore(gamesConfiguration): update the api
* chore(gamesManagement): update the api
* chore(gameservices): update the api
* chore(genomics): update the api
* chore(gmail): update the api
* chore(gmailpostmastertools): update the api
* chore(groupsmigration): update the api
* chore(groupssettings): update the api
* chore(healthcare): update the api
* chore(iam): update the api
* chore(iamcredentials): update the api
* chore(iap): update the api
* chore(identitytoolkit): update the api
* chore(indexing): update the api
* chore(jobs): update the api
* chore(kgsearch): update the api
* chore(language): update the api
* chore(libraryagent): update the api
* chore(licensing): update the api
* chore(lifesciences): update the api
* chore(logging): update the api
* chore(managedidentities): update the api
* chore(manufacturers): update the api
* chore(memcache): update the api
* chore(ml): update the api
* chore(monitoring): update the api
* chore(networkmanagement): update the api
* chore(osconfig): update the api
* chore(pagespeedonline): update the api
* chore(playablelocations): update the api
* chore(playcustomapp): update the api
* chore(policytroubleshooter): update the api
* chore(poly): update the api
* chore(privateca): update the api
* chore(prod_tt_sasportal): update the api
* chore(pubsub): update the api
* chore(pubsublite): update the api
* chore(realtimebidding): update the api
* chore(recommendationengine): update the api
* chore(recommender): update the api
* chore(redis): update the api
* chore(remotebuildexecution): update the api
* chore(reseller): update the api
* chore(runtimeconfig): update the api
* chore(safebrowsing): update the api
* chore(sasportal): update the api
* chore(script): update the api
* chore(searchconsole): update the api
* chore(secretmanager): update the api
* chore(servicecontrol): update the api
* chore(servicedirectory): update the api
* chore(siteVerification): update the api
* chore(slides): update the api
* chore(smartdevicemanagement): update the api
* chore(sourcerepo): update the api
* chore(sqladmin): update the api
* chore(storage): update the api
* chore(storagetransfer): update the api
* chore(streetviewpublish): update the api
* chore(sts): update the api
* chore(tagmanager): update the api
* chore(tasks): update the api
* chore(testing): update the api
* chore(texttospeech): update the api
* chore(toolresults): update the api
* chore(trafficdirector): update the api
* chore(transcoder): update the api
* chore(translate): update the api
* chore(vault): update the api
* chore(vectortile): update the api
* chore(verifiedaccess): update the api
* chore(videointelligence): update the api
* chore(vision): update the api
* chore(webfonts): update the api
* chore(webmasters): update the api
* chore(websecurityscanner): update the api
* chore(workflowexecutions): update the api
* chore(workflows): update the api
* chore(youtubeAnalytics): update the api
* chore(youtubereporting): update the api
* chore(docs): Add new discovery artifacts and reference documents
diff --git a/docs/dyn/compute_v1.autoscalers.html b/docs/dyn/compute_v1.autoscalers.html
index 7f5aed7..ec31b78 100644
--- a/docs/dyn/compute_v1.autoscalers.html
+++ b/docs/dyn/compute_v1.autoscalers.html
@@ -154,6 +154,9 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # 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.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -423,6 +426,9 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # 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.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -561,6 +567,9 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # 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.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -787,6 +796,9 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # 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.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -955,6 +967,9 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # 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.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.
@@ -1163,6 +1178,9 @@
#
# Virtual machine initialization times might vary because of numerous factors. We recommend that you test how long an instance may take to initialize. To do this, create an instance and time the startup process.
"cpuUtilization": { # CPU utilization policy. # Defines the CPU utilization policy that allows the autoscaler to scale based on the average CPU utilization of a managed instance group.
+ "predictiveMethod": "A String", # 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.
"utilizationTarget": 3.14, # The target CPU utilization that the autoscaler maintains. Must be a float value in the range (0, 1]. If not specified, the default is 0.6.
#
# If the CPU level is below the target utilization, the autoscaler scales in the number of instances until it reaches the minimum number of instances you specified or until the average CPU of your instances reaches the target utilization.