diff --git a/docs/deployment/schedulers/k3s.md b/docs/deployment/schedulers/k3s.md
index c28ac80df..33e55126b 100644
--- a/docs/deployment/schedulers/k3s.md
+++ b/docs/deployment/schedulers/k3s.md
@@ -476,6 +476,8 @@ Each value in the `metadata` stanza can use the following interpolated strings:
 - `DOKKU_PROCESS_TYPE`: The name of the process being scaled
 - `DOKKU_APP_NAME`: The name of the app being scaled
 
+Dokku configures a Keda `fallback` (with a failure threshold of `3` and the configured replica count) on the generated `ScaledObject` so that scaling falls back to the configured replica count when a scaler's metric source becomes unavailable. Keda only allows `fallback` when at least one trigger is something other than `cpu` or `memory`, so Dokku omits the `fallback` block when every configured trigger is a `cpu` or `memory` scaler.
+
 ##### HTTP Autoscaling
 
 In addition to the built-in scalers that Keda provides, Dokku also supports Keda's HTTP Add On. This requires that the addon be properly installed and configured. For existing k3s clusters, this can be performed by the `scheduler-k3s:ensure-charts` command:
diff --git a/plugins/scheduler-k3s/templates/chart/keda-scaled-object.yaml b/plugins/scheduler-k3s/templates/chart/keda-scaled-object.yaml
index ac0f61f23..221f054e1 100644
--- a/plugins/scheduler-k3s/templates/chart/keda-scaled-object.yaml
+++ b/plugins/scheduler-k3s/templates/chart/keda-scaled-object.yaml
@@ -33,9 +33,17 @@ spec:
   pollingInterval: {{ $config.autoscaling.polling_interval_seconds }}
   minReplicaCount: {{ $config.autoscaling.min_replicas }}
   maxReplicaCount: {{ $config.autoscaling.max_replicas }}
+  {{- $hasFallbackTrigger := false }}
+  {{- range $config.autoscaling.triggers }}
+  {{- if and (ne .type "cpu") (ne .type "memory") }}
+  {{- $hasFallbackTrigger = true }}
+  {{- end }}
+  {{- end }}
+  {{- if $hasFallbackTrigger }}
   fallback:
     failureThreshold: 3
     replicas: {{ $config.replicas }}
+  {{- end }}
   {{- if $config.autoscaling.triggers }}
   triggers:
   {{- with $config.autoscaling.triggers }}
diff --git a/tests/unit/scheduler-k3s-4.bats b/tests/unit/scheduler-k3s-4.bats
index 193ec1736..740f56901 100644
--- a/tests/unit/scheduler-k3s-4.bats
+++ b/tests/unit/scheduler-k3s-4.bats
@@ -52,6 +52,66 @@ teardown() {
   assert_output "5000"
 }
 
+@test "(scheduler-k3s) deploy autoscaling cpu-only trigger [keda-fallback]" {
+  if [[ -z "$DOCKERHUB_USERNAME" ]] || [[ -z "$DOCKERHUB_TOKEN" ]]; then
+    skip "skipping due to missing docker.io credentials DOCKERHUB_USERNAME:DOCKERHUB_TOKEN"
+  fi
+
+  INGRESS_CLASS=nginx install_k3s
+
+  run /bin/bash -c "dokku apps:create $TEST_APP"
+  echo "output: $output"
+  echo "status: $status"
+  assert_success
+
+  run deploy_app python dokku@$DOKKU_DOMAIN:$TEST_APP inject_cpu_autoscaling_app_json
+  echo "output: $output"
+  echo "status: $status"
+  assert_success
+
+  run /bin/bash -c "kubectl get scaledobjects.keda.sh $TEST_APP-web -o=jsonpath='{.spec.fallback}'"
+  echo "output: $output"
+  echo "status: $status"
+  assert_success
+  assert_output ""
+
+  run /bin/bash -c "kubectl get scaledobjects.keda.sh $TEST_APP-web -o=jsonpath='{.spec.triggers[0].type}'"
+  echo "output: $output"
+  echo "status: $status"
+  assert_success
+  assert_output "cpu"
+}
+
+@test "(scheduler-k3s) deploy autoscaling external trigger [keda-fallback]" {
+  if [[ -z "$DOCKERHUB_USERNAME" ]] || [[ -z "$DOCKERHUB_TOKEN" ]]; then
+    skip "skipping due to missing docker.io credentials DOCKERHUB_USERNAME:DOCKERHUB_TOKEN"
+  fi
+
+  INGRESS_CLASS=nginx install_k3s
+
+  run /bin/bash -c "dokku apps:create $TEST_APP"
+  echo "output: $output"
+  echo "status: $status"
+  assert_success
+
+  run deploy_app python dokku@$DOKKU_DOMAIN:$TEST_APP inject_prometheus_autoscaling_app_json
+  echo "output: $output"
+  echo "status: $status"
+  assert_success
+
+  run /bin/bash -c "kubectl get scaledobjects.keda.sh $TEST_APP-web -o=jsonpath='{.spec.fallback.failureThreshold}'"
+  echo "output: $output"
+  echo "status: $status"
+  assert_success
+  assert_output "3"
+
+  run /bin/bash -c "kubectl get scaledobjects.keda.sh $TEST_APP-web -o=jsonpath='{.spec.fallback.replicas}'"
+  echo "output: $output"
+  echo "status: $status"
+  assert_success
+  assert_output "1"
+}
+
 inject_app_json() {
   local APP="$1"
   local APP_REPO_DIR="$2"
@@ -68,3 +128,60 @@ inject_app_json() {
 }
 EOF
 }
+
+inject_cpu_autoscaling_app_json() {
+  local APP="$1"
+  local APP_REPO_DIR="$2"
+  [[ -z "$APP" ]] && local APP="$TEST_APP"
+  cat <<EOF >"$APP_REPO_DIR/app.json"
+{
+  "formation": {
+    "web": {
+      "autoscaling": {
+        "min_quantity": 1,
+        "max_quantity": 3,
+        "triggers": [
+          {
+            "name": "cpu-trigger",
+            "type": "cpu",
+            "metadata": {
+              "value": "80"
+            }
+          }
+        ]
+      }
+    }
+  }
+}
+EOF
+}
+
+inject_prometheus_autoscaling_app_json() {
+  local APP="$1"
+  local APP_REPO_DIR="$2"
+  [[ -z "$APP" ]] && local APP="$TEST_APP"
+  cat <<EOF >"$APP_REPO_DIR/app.json"
+{
+  "formation": {
+    "web": {
+      "autoscaling": {
+        "min_quantity": 1,
+        "max_quantity": 3,
+        "triggers": [
+          {
+            "name": "prom-trigger",
+            "type": "prometheus",
+            "metadata": {
+              "serverAddress": "http://prometheus.example.com:9090",
+              "metricName": "http_requests_total",
+              "threshold": "100",
+              "query": "sum(rate(http_requests_total{deployment=\"[[ .DEPLOYMENT_NAME ]]\"}[2m]))"
+            }
+          }
+        ]
+      }
+    }
+  }
+}
+EOF
+}