diff --git a/docs/user/production-considerations/task-manager-health-monitoring.asciidoc b/docs/user/production-considerations/task-manager-health-monitoring.asciidoc
index f64c120f61298..d6b90a4f19e11 100644
--- a/docs/user/production-considerations/task-manager-health-monitoring.asciidoc
+++ b/docs/user/production-considerations/task-manager-health-monitoring.asciidoc
@@ -6,6 +6,8 @@
 <titleabbrev>Health monitoring</titleabbrev>
 ++++
 
+experimental[]
+
 The Task Manager has an internal monitoring mechanism to keep track of a variety of metrics, which can be consumed with either the health monitoring API or the {kib} server log.
 
 The health monitoring API provides a reliable endpoint that can be monitored.
diff --git a/docs/user/production-considerations/task-manager-troubleshooting.asciidoc b/docs/user/production-considerations/task-manager-troubleshooting.asciidoc
index 5e75aef0d9570..c6a7b7f3d53fd 100644
--- a/docs/user/production-considerations/task-manager-troubleshooting.asciidoc
+++ b/docs/user/production-considerations/task-manager-troubleshooting.asciidoc
@@ -60,6 +60,8 @@ For details on scaling Task Manager, see <<task-manager-scaling-guidance>>.
 [[task-manager-diagnosing-root-cause]]
 ==== Diagnose a root cause for drift
 
+experimental[]
+
 The following guide helps you identify a root cause for _drift_ by making sense of the output from the <<task-manager-health-monitoring>> endpoint.
 
 By analyzing the different sections of the output, you can evaluate different theories that explain the drift in a deployment.