diff --git a/docs/dag/kubernetes/storage_kubernetes_infrastructure_services.rst b/docs/dag/kubernetes/storage_kubernetes_infrastructure_services.rst
index 5052a4576..408fbc404 100644
--- a/docs/dag/kubernetes/storage_kubernetes_infrastructure_services.rst
+++ b/docs/dag/kubernetes/storage_kubernetes_infrastructure_services.rst
@@ -8,7 +8,7 @@ Trident focuses on providing persistence to Kubernetes applications, but before
 
 **Node-local container storage, a.k.a. graph driver storage**
 
-One of the often overlooked components of a Kubernetes deployment is the storage which the container instances consume on the Kubernetes cluster nodes, usually referred to as `graph driver storage <https://success.docker.com/article/an-introduction-to-storage-solutions-for-docker-caas#graphdriverstorage>`_.  When a container is instantiated on a node it consumes capacity and IOPS to do many of it's operations as only data which is read from or written to a persistent volume is offloaded to the external storage.  If the Kubernetes nodes are expected to host dozens, hundreds, or more containers this may be a significant amount of temporary capacity and IOPS which are expected of the node-local storage.  
+One of the often overlooked components of a Kubernetes deployment is the storage which the container instances consume on the Kubernetes cluster nodes, usually referred to This link is broken - please correct Thanks! > as `graph driver storage <https://success.docker.com/article/an-introduction-to-storage-solutions-for-docker-caas#graphdriverstorage>`_.  When a container is instantiated on a node it consumes capacity and IOPS to do many of it's operations as only data which is read from or written to a persistent volume is offloaded to the external storage.  If the Kubernetes nodes are expected to host dozens, hundreds, or more containers this may be a significant amount of temporary capacity and IOPS which are expected of the node-local storage.  
 
 Even if you don't have a requirement to keep the data, the containers still need enough performance and capacity to execute their application. The Kubernetes administrator and storage administrator should work closely together to determine the requirements for graph storage and ensure adequate performance and capacity is available.