Merge pull request #284856 from denisacatalinastan/patch-1

Update storage-introduction.md

Author: prmerger-automator[bot]

articles/storage/common/storage-introduction.md

@@ -60,7 +60,7 @@ The following table compares Azure Storage services and shows example scenarios
 | **Azure Blobs** | Allows unstructured data to be stored and accessed at a massive scale in block blobs.<br/><br/>Also supports [Azure Data Lake Storage Gen2](../blobs/data-lake-storage-introduction.md) for enterprise big data analytics solutions. | You want your application to support streaming and random access scenarios.<br/><br/>You want to be able to access application data from anywhere.<br/><br/>You want to build an enterprise data lake on Azure and perform big data analytics. |
 | **Azure Elastic SAN** | Azure Elastic SAN is a fully integrated solution that simplifies deploying, scaling, managing, and configuring a SAN, while also offering built-in cloud capabilities like high availability. | You want large scale storage that is interoperable with multiple types of compute resources (such as SQL, MariaDB, Azure virtual machines, and Azure Kubernetes Services) accessed via the [internet Small Computer Systems Interface](https://en.wikipedia.org/wiki/ISCSI) (iSCSI) protocol.|
 | **Azure Disks** | Allows data to be persistently stored and accessed from an attached virtual hard disk. | You want to "lift and shift" applications that use native file system APIs to read and write data to persistent disks.<br/><br/>You want to store data that isn't required to be accessed from outside the virtual machine to which the disk is attached. |
-| **Azure Container Storage** (preview) | Azure Container Storage (preview) is a volume management, deployment, and orchestration service that integrates with Kubernetes and is built natively for containers. | You want to dynamically and automatically provision persistent volumes to store data for stateful applications running on Kubernetes clusters. |
+| **Azure Container Storage**| Azure Container Storage is a volume management, deployment, and orchestration service that integrates with Kubernetes and is built natively for containers. | You want to dynamically and automatically provision persistent volumes to store data for stateful applications running on Kubernetes clusters. |
 | **Azure Queues** | Allows for asynchronous message queueing between application components. | You want to decouple application components and use asynchronous messaging to communicate between them.<br><br>For guidance around when to use Queue Storage versus Service Bus queues, see [Storage queues and Service Bus queues - compared and contrasted](../../service-bus-messaging/service-bus-azure-and-service-bus-queues-compared-contrasted.md). |
 | **Azure Tables** | Allows you to store structured NoSQL data in the cloud, providing a key/attribute store with a schemaless design. | You want to store flexible datasets like user data for web applications, address books, device information, or other types of metadata your service requires. <br/><br/>For guidance around when to use Table Storage versus Azure Cosmos DB for Table, see [Developing with Azure Cosmos DB for Table and Azure Table Storage](/azure/cosmos-db/table-support). |