diff --git a/python/ray/_private/worker.py b/python/ray/_private/worker.py
index 1677843688f9..1c9b5e20b59f 100644
--- a/python/ray/_private/worker.py
+++ b/python/ray/_private/worker.py
@@ -2313,6 +2313,11 @@ def get(
                 UserWarning,
             )
 
+        # Record this usage in telemetry
+        import ray._private.usage.usage_lib as usage_lib
+
+        usage_lib.record_extra_usage_tag(usage_lib.TagKey.RAY_GET_TIMEOUT_ZERO, "True")
+
     worker = global_worker
     worker.check_connected()
 
diff --git a/src/ray/protobuf/usage.proto b/src/ray/protobuf/usage.proto
index 280ddb14a39a..52f397cfbab3 100644
--- a/src/ray/protobuf/usage.proto
+++ b/src/ray/protobuf/usage.proto
@@ -85,4 +85,8 @@ enum TagKey {
   // The count(int) of worker crash with exit type 'out-of-memory' since
   // the cluster started, emitted from GCS
   WORKER_CRASH_OOM = 303;
+  // If {true, false} setting of timeout =0 in `ray.get``, i.e. ray.get(..., timeout=0)
+  // This is to track usage of the buggy behavior that will be fixed.
+  // See https://github.com/ray-project/ray/issues/28465 for more details.
+  RAY_GET_TIMEOUT_ZERO = 304;
 }