Merge pull request #100751 from jswoodward/ekpgh-vfxt-periodic-update-2

Ekpgh vfxt periodic update 2

Author: GitHubber17

articles/avere-vfxt/avere-vfxt-add-storage.md

@@ -4,7 +4,7 @@ description: How to add a back-end storage system to your Avere vFXT for Azure
 author: ekpgh
 ms.service: avere-vfxt
 ms.topic: conceptual
-ms.date: 12/14/2019
+ms.date: 01/13/2020
 ms.author: rohogue
 ---
 
@@ -27,7 +27,7 @@ These steps use the Avere Control Panel. Read [Access the vFXT cluster](avere-vf
 
 ## Create a core filer
 
-"Core filer" is a vFXT term for a backend storage system. The storage can be a hardware NAS appliance like NetApp or Isilon, or it can be a cloud object store. More information about core filers can be found in the [Avere cluster settings guide](https://azure.github.io/Avere/legacy/ops_guide/4_7/html/settings_overview.html#managing-core-filers).
+"Core filer" is a vFXT term for a back-end storage system. The storage can be a hardware NAS appliance like NetApp or Isilon, or it can be a cloud object store. More information about core filers can be found in the [Avere cluster settings guide](https://azure.github.io/Avere/legacy/ops_guide/4_7/html/settings_overview.html#managing-core-filers).
 
 To add a core filer, choose one of the two main types of core filers:
 
@@ -64,7 +64,7 @@ Next, proceed to [Create a junction](#create-a-junction).
 
 ### Azure Blob Storage cloud core filer
 
-To use Azure Blob storage as your vFXT cluster's backend storage, you need an empty container to add as a core filer.
+To use Azure Blob storage as your vFXT cluster's back-end storage, you need an empty container to add as a core filer.
 
 Adding Blob storage to your cluster requires these tasks:
 

articles/avere-vfxt/avere-vfxt-additional-resources.md

@@ -4,7 +4,7 @@ description: Links to additional information about Avere vFXT for Azure
 author: ekpgh
 ms.service: avere-vfxt
 ms.topic: conceptual
-ms.date: 01/09/2019
+ms.date: 01/13/2020
 ms.author: rohogue
 ---
 
@@ -20,12 +20,12 @@ Additional Avere cluster documentation can be found on the website at <https://a
   * [Customizing Support and Monitoring Settings](<https://azure.github.io/Avere/legacy/create_cluster/4_8/html/config_support.html#config-support>) explains how to customize support upload settings and enable remote monitoring.
   * [Configuring VServers and Global Namespace](<https://azure.github.io/Avere/legacy/create_cluster/4_8/html/config_vserver.html#config-vserver>) has information about creating a client-facing namespace.
   * [Configuring DNS for the Avere cluster](<https://azure.github.io/Avere/legacy/create_cluster/4_8/html/config_network.html#dns-overview>) explains how to configure round-robin DNS.
-  * [Adding Backend Storage](<https://azure.github.io/Avere/legacy/create_cluster/4_8/html/config_core_filer.html#add-core-filer>) documents how to add core filers.
+  * [Adding Back-end Storage](<https://azure.github.io/Avere/legacy/create_cluster/4_8/html/config_core_filer.html#add-core-filer>) documents how to add core filers.
 
 * The [Cluster Configuration Guide](<https://azure.github.io/Avere/#operations>) is a complete reference of settings and options for an Avere cluster. A vFXT cluster uses a subset of these options, but most of the same configuration pages apply.
 
 * The [Dashboard Guide](<https://azure.github.io/Avere/#operations>) explains how to use the cluster monitoring features of the Avere Control Panel.
 
 ## vFXT creation and management documentation
 
-A full guide for using vfxt.py, the cloud cluster creation and management utility, is provided on GitHub: [Cloud cluster management with vfxt.py](https://github.com/Azure/AvereSDK/blob/master/docs/README.md).
+A full guide for using vfxt.py, a script-based cloud cluster creation and management utility, is provided on GitHub: [Cloud cluster management with vfxt.py](https://github.com/Azure/AvereSDK/blob/master/docs/README.md).

articles/avere-vfxt/avere-vfxt-configure-dns.md

@@ -4,7 +4,7 @@ description: Configuring a DNS server for round-robin load balancing with Avere
 author: ekpgh
 ms.service: avere-vfxt
 ms.topic: conceptual
-ms.date: 10/31/2018
+ms.date: 12/19/2019
 ms.author: rohogue
 ---
 

articles/avere-vfxt/avere-vfxt-data-ingest.md

@@ -4,15 +4,15 @@ description: How to add data to a new storage volume for use with the Avere vFXT
 author: ekpgh
 ms.service: avere-vfxt
 ms.topic: conceptual
-ms.date: 11/21/2019
+ms.date: 12/16/2019
 ms.author: rohogue
 ---
 
 # Moving data to the vFXT cluster - Parallel data ingest
 
-After you've created a new vFXT cluster, your first task might be to move data onto its new storage volume. However, if your usual method of moving data is issuing a simple copy command from one client, you will likely see a slow copy performance. Single-threaded copying is not a good option for copying data to the Avere vFXT cluster's backend storage.
+After you've created a new vFXT cluster, your first task might be to move data onto a new storage volume in Azure. However, if your usual method of moving data is issuing a simple copy command from one client, you will likely see a slow copy performance. Single-threaded copying is not a good option for copying data to the Avere vFXT cluster's back-end storage.
 
-Because the Avere vFXT cluster is a scalable multi-client cache, the fastest and most efficient way to copy data to it is with multiple clients. This technique parallelizes ingestion of the files and objects.
+Because the Avere vFXT for Azure cluster is a scalable multi-client cache, the fastest and most efficient way to copy data to it is with multiple clients. This technique parallelizes ingestion of the files and objects.
 
 ![Diagram showing multi-client, multi-threaded data movement: At the top left, an icon for on-premises hardware storage has multiple arrows coming from it. The arrows point to four client machines. From each client machine three arrows point toward the Avere vFXT. From the Avere vFXT, multiple arrows point to Blob storage.](media/avere-vfxt-parallel-ingest.png)
 
@@ -39,12 +39,12 @@ The data ingestor VM is part of a tutorial where the newly created VM mounts the
 
 ## Strategic planning
 
-When building a strategy to copy data in parallel, you should understand the tradeoffs in file size, file count, and directory depth.
+When designing a strategy to copy data in parallel, you should understand the tradeoffs in file size, file count, and directory depth.
 
 * When files are small, the metric of interest is files per second.
 * When files are large (10MiBi or greater), the metric of interest is bytes per second.
 
-Each copy process has a throughput rate and a files-transferred rate, which can be measured by timing the length of the copy command and factoring the file size and file count. Explaining how to measure the rates is outside the scope of this document, but it is imperative to understand whether you’ll be dealing with small or large files.
+Each copy process has a throughput rate and a files-transferred rate, which can be measured by timing the length of the copy command and factoring the file size and file count. Explaining how to measure the rates is outside the scope of this document, but it is important to understand whether you’ll be dealing with small or large files.
 
 ## Manual copy example
 
@@ -273,7 +273,7 @@ This method is a simple and time-effective method for datasets up to the number
 
 ## Use the msrsync utility
 
-The ``msrsync`` tool also can be used to move data to a backend core filer for the Avere cluster. This tool is designed to optimize bandwidth usage by running multiple parallel ``rsync`` processes. It is available from GitHub at <https://github.com/jbd/msrsync>.
+The ``msrsync`` tool also can be used to move data to a back-end core filer for the Avere cluster. This tool is designed to optimize bandwidth usage by running multiple parallel ``rsync`` processes. It is available from GitHub at <https://github.com/jbd/msrsync>.
 
 ``msrsync`` breaks up the source directory into separate “buckets” and then runs individual ``rsync`` processes on each bucket.
 
@@ -318,7 +318,7 @@ To use ``msrsync`` to populate an Azure cloud volume with an Avere cluster, foll
 
 ## Use the parallel copy script
 
-The ``parallelcp`` script also can be useful for moving data to your vFXT cluster's backend storage.
+The ``parallelcp`` script also can be useful for moving data to your vFXT cluster's back-end storage.
 
 The script below will add the executable `parallelcp`. (This script is designed for Ubuntu; if using another distribution, you must install ``parallel`` separately.)
 

articles/avere-vfxt/avere-vfxt-demo-links.md

@@ -4,7 +4,7 @@ description: links to code demonstration tutorials for Avere vFXT
 author: ekpgh
 ms.service: avere-vfxt
 ms.topic: conceptual
-ms.date: 10/31/2018
+ms.date: 12/19/2019
 ms.author: rohogue
 ---
 
@@ -14,13 +14,13 @@ Sample tutorials are provided on [GitHub](https://github.com/Azure/Avere). These
 
 ## Video rendering
 
-* [Rendering using Azure Batch and Avere vFXT](https://github.com/Azure/Avere/blob/master/docs/maya_azure_batch_avere_vfxt_demo.md) - A 60-minute demo that demonstrates how to use Autodesk Maya with Azure Batch and an Avere vFXT cluster to generate an animated movie
+* [Rendering using Azure Batch and Avere vFXT](https://github.com/Azure/Avere/blob/master/docs/maya_azure_batch_avere_vfxt_demo.md) - A 60-minute project that demonstrates how to use Autodesk Maya with Azure Batch and an Avere vFXT cluster to generate an animated movie
 
-* [Why use the Avere vFXT for rendering?](https://github.com/Azure/Avere/blob/master/docs/why_avere_for_rendering.md) - A demonstration that compares rendering times from NAS with and without an Avere vFXT cluster
+* [Why use the Avere vFXT for rendering?](https://github.com/Azure/Avere/blob/master/docs/why_avere_for_rendering.md) - A demonstration that compares rendering times from network-attached storage with and without an Avere vFXT cluster
 
 ## High-performance computing
 
-* [Best Practices for Improving Azure Virtual Machine (VM) Boot Time](https://github.com/Azure/Avere/blob/master/docs/azure_vm_provision_best_practices.md) - A reproducible test of using Avere vFXT for Azure to improve boot times when spinning up thousands of compute clients quickly
+* [Best practices for improving Azure Virtual Machine (VM) boot time](https://github.com/Azure/Avere/blob/master/docs/azure_vm_provision_best_practices.md) - A reproducible test that uses Avere vFXT for Azure to improve boot times when spinning up thousands of compute clients quickly
 
 ## vFXT performance
 

articles/avere-vfxt/avere-vfxt-deploy-overview.md

@@ -4,9 +4,10 @@ description: Overview of deploying Avere vFXT for Azure
 author: ekpgh
 ms.service: avere-vfxt
 ms.topic: conceptual
-ms.date: 02/20/2019
+ms.date: 01/13/2020
 ms.author: rohogue
 ---
+<!-- filename is linked to in the marketplace template, make sure it gets a redirect if we rename it -->
 
 # Avere vFXT for Azure - deployment overview
 
@@ -20,7 +21,7 @@ After [planning your system](avere-vfxt-deploy-plan.md), you can begin to create
 
 An Azure Resource Manager template in the Azure Marketplace collects the necessary information and automatically deploys the entire cluster.
 
-After the vFXT cluster is up and running, you will want to know how to connect clients to it and (optionally) how to move your data to the new Blob storage container. If you use a NAS storage system, you need to add it after the cluster is created.
+After the vFXT cluster is up and running, there are still some configuration steps to take before using it. If you created a new Blob storage container, you'll want to move your data to it. If you use a NAS storage system, you need to add it after the cluster is created. You will want to connect clients to the cluster.
 
 Here is an overview of all of the steps.
 
@@ -35,21 +36,23 @@ Here is an overview of all of the steps.
    Cluster creation involves these steps, which are all done by the marketplace template:
 
    * Create new network infrastructure and resource groups, if needed
-   * Create a *cluster controller*  
+   * Create a cluster controller
 
      The cluster controller is a simple VM that resides in the same virtual network as the Avere vFXT cluster and has the custom software needed to create and manage the cluster. The controller creates the vFXT nodes and forms the cluster, and it also provides a command-line interface to manage the cluster during its lifetime.
 
-     If you create a new virtual network or subnet during the deployment, your controller will have a public IP address. This means the controller can serve as a jump host for connecting to the cluster from outside the subnet.
+     If you create a new virtual network or subnet during the deployment, your controller will have a public IP address. This means the controller can serve as a jump host for connecting to the cluster from outside the virtual network.
 
    * Create the cluster node VMs
 
-   * Configure the cluster node VMs to form the cluster
+   * Create the cluster from the individual nodes
 
    * Optionally, create a new Blob container and configure it as back-end storage for the cluster
 
+   Cluster creation is described in detail in [Deploy the vFXT cluster](avere-vfxt-deploy.md).
+
 1. Configure the cluster
 
-   Connect to the Avere vFXT configuration interface (Avere Control Panel) to customize the cluster's settings. Opt in for support monitoring, and add your storage system if you are using an on-premises data center.
+   Connect to the Avere vFXT configuration interface (Avere Control Panel) to customize the cluster's settings. Opt in for support monitoring, and add your storage system if you are using hardware storage or additional Blob containers.
 
    * [Access the vFXT cluster](avere-vfxt-cluster-gui.md)
    * [Enable support](avere-vfxt-enable-support.md)
@@ -62,7 +65,7 @@ Here is an overview of all of the steps.
 1. Add data (if needed)
 
    Because the Avere vFXT is a scalable multi-client cache, the best way to move data to a new back-end storage container is with a multi-client, multi-threaded file copy strategy.
-   
+
    If you need to move working set data to a new Blob container or other back-end storage system, follow the instructions in [Moving data to the vFXT cluster](avere-vfxt-data-ingest.md).
 
 ## Next steps