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Getting Started with NetScaler
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Deploy a NetScaler VPX instance
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Optimize NetScaler VPX performance on VMware ESX, Linux KVM, and Citrix Hypervisors
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Apply NetScaler VPX configurations at the first boot of the NetScaler appliance in cloud
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Configure simultaneous multithreading for NetScaler VPX on public clouds
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Install a NetScaler VPX instance on Microsoft Hyper-V servers
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Install a NetScaler VPX instance on Linux-KVM platform
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Prerequisites for installing NetScaler VPX virtual appliances on Linux-KVM platform
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Provisioning the NetScaler virtual appliance by using OpenStack
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Provisioning the NetScaler virtual appliance by using the Virtual Machine Manager
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Configuring NetScaler virtual appliances to use SR-IOV network interface
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Configuring NetScaler virtual appliances to use PCI Passthrough network interface
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Provisioning the NetScaler virtual appliance by using the virsh Program
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Provisioning the NetScaler virtual appliance with SR-IOV on OpenStack
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Configuring a NetScaler VPX instance on KVM to use OVS DPDK-Based host interfaces
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Deploy a NetScaler VPX instance on AWS
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Deploy a VPX high-availability pair with elastic IP addresses across different AWS zones
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Deploy a VPX high-availability pair with private IP addresses across different AWS zones
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Protect AWS API Gateway using the NetScaler Web Application Firewall
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Configure a NetScaler VPX instance to use SR-IOV network interface
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Configure a NetScaler VPX instance to use Enhanced Networking with AWS ENA
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Deploy a NetScaler VPX instance on Microsoft Azure
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Network architecture for NetScaler VPX instances on Microsoft Azure
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Configure multiple IP addresses for a NetScaler VPX standalone instance
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Configure a high-availability setup with multiple IP addresses and NICs
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Configure a high-availability setup with multiple IP addresses and NICs by using PowerShell commands
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Deploy a NetScaler high-availability pair on Azure with ALB in the floating IP-disabled mode
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Configure a NetScaler VPX instance to use Azure accelerated networking
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Configure HA-INC nodes by using the NetScaler high availability template with Azure ILB
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Configure a high-availability setup with Azure external and internal load balancers simultaneously
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Configure a NetScaler VPX standalone instance on Azure VMware solution
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Configure a NetScaler VPX high availability setup on Azure VMware solution
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Configure address pools (IIP) for a NetScaler Gateway appliance
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Deploy a NetScaler VPX instance on Google Cloud Platform
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Deploy a VPX high-availability pair on Google Cloud Platform
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Deploy a VPX high-availability pair with external static IP address on Google Cloud Platform
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Deploy a single NIC VPX high-availability pair with private IP address on Google Cloud Platform
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Deploy a VPX high-availability pair with private IP addresses on Google Cloud Platform
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Install a NetScaler VPX instance on Google Cloud VMware Engine
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Solutions for Telecom Service Providers
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Load Balance Control-Plane Traffic that is based on Diameter, SIP, and SMPP Protocols
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Provide Subscriber Load Distribution Using GSLB Across Core-Networks of a Telecom Service Provider
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Authentication, authorization, and auditing application traffic
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Basic components of authentication, authorization, and auditing configuration
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Web Application Firewall protection for VPN virtual servers and authentication virtual servers
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On-premises NetScaler Gateway as an identity provider to Citrix Cloud
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Authentication, authorization, and auditing configuration for commonly used protocols
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Troubleshoot authentication and authorization related issues
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Exporting Performance Data of Web Pages to AppFlow Collector
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Persistence and persistent connections
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Advanced load balancing settings
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Gradually stepping up the load on a new service with virtual server–level slow start
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Protect applications on protected servers against traffic surges
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Retrieve location details from user IP address using geolocation database
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Use source IP address of the client when connecting to the server
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Use client source IP address for backend communication in a v4-v6 load balancing configuration
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Set a limit on number of requests per connection to the server
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Configure automatic state transition based on percentage health of bound services
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Use case 2: Configure rule based persistence based on a name-value pair in a TCP byte stream
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Use case 3: Configure load balancing in direct server return mode
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Use case 6: Configure load balancing in DSR mode for IPv6 networks by using the TOS field
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Use case 7: Configure load balancing in DSR mode by using IP Over IP
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Use case 10: Load balancing of intrusion detection system servers
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Use case 11: Isolating network traffic using listen policies
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Use case 12: Configure Citrix Virtual Desktops for load balancing
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Use case 13: Configure Citrix Virtual Apps and Desktops for load balancing
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Use case 14: ShareFile wizard for load balancing Citrix ShareFile
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Use case 15: Configure layer 4 load balancing on the NetScaler appliance
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Authentication and authorization for System Users
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Configuring a CloudBridge Connector Tunnel between two Datacenters
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Configuring CloudBridge Connector between Datacenter and AWS Cloud
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Configuring a CloudBridge Connector Tunnel Between a Datacenter and Azure Cloud
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Configuring CloudBridge Connector Tunnel between Datacenter and SoftLayer Enterprise Cloud
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Configuring a CloudBridge Connector Tunnel Between a NetScaler Appliance and Cisco IOS Device
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CloudBridge Connector Tunnel Diagnostics and Troubleshooting
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Exporting performance data of webpages to AppFlow collector
The EdgeSight Monitoring application provides webpage monitoring data with which you can monitor the performance of various Web applications served in a NetScaler environment. You can now export this data to AppFlow collectors to get an in-depth analysis of the webpage applications. AppFlow, which is based on the IPFIX standard, provides more specific information about web application performance than does EdgeSight monitoring alone.
You can configure both load balancing and content switching virtual servers to export EdgeSight Monitoring data to AppFlow collectors. Before configuring a virtual server for AppFlow export, associate an AppFlow action with the EdgeSight Monitoring responder policy.
The following webpage performance data is exported to AppFlow:
- Page Load Time. Elapsed time, in milliseconds, from when the browser starts to receive the first byte of a response until the user starts to interact with the page. At this stage, all the page content might not be loaded.
- Page Render Time. Elapsed time, in milliseconds, from when the browser receives the first byte of response until either all page content has been rendered or the page load action has timed out.
- Time Spent on the Page. Time spent by users on a page. Represents the time from one page request to the next one.
AppFlow transmits the performance data by using the Internet Protocol Flow Information eXport (IPFIX) format, which is an open Internet Engineering Task Force (IETF) standard defined in RFC 5101. The AppFlow templates use the following enterprise-specific Information Elements (EIEs) to export the information:
- Client Load End Time. Time at which the browser received the last byte of a response to load all the objects of the page such as images, scripts, and style sheets.
- Client Load Start Time. Time at which the browser receives the first byte of the response to load any objects of the page such as images, scripts, and Style sheets.
- Client Render End Time. Time at which a browser finished rendering the entire page, including the embedded objects.
- Client Render Start Time. Time at which the browser started rendering the page.
Prerequisites for exporting performance data of webpages to AppFlow collectors
Before associating the AppFlow action with the AppFlow policy, verify that the following prerequisites have been met:
- The AppFlow feature has been enabled and configured.
- The Responder feature has been enabled.
- The EdgeSight Monitoring feature has been enabled.
- EdgeSight Monitoring has been enabled on the load balancing or content switching virtual servers bound to the services of applications for which you want to collect the performance data.
Associating an AppFlow action with the EdgeSight monitoring responder policy
To export the webpage performance data to the AppFlow collector, you must associate an AppFlow action with the EdgeSight Monitoring responder policy. An AppFlow action specifies which set of collectors receive the traffic.
To associate an AppFlow action with the EdgeSight Monitoring Responder policy by using the CLI
At the command prompt, type:
set responder policy <name> -appflowAction <action_Name>
<!--NeedCopy-->
Example
set responder policy pol -appflowAction actn
<!--NeedCopy-->
To associate an AppFlow action with the EdgeSight Monitoring Responder policy by using the GUI
- Navigate to AppExpert > Responder > Policies.
- In the details pane, select an EdgeSight Monitoring responder policy, and then click Open.
- In the Configure Responder Policy dialog box, in the AppFlow Action drop-down list, select the AppFlow action associated with the collectors to which you want to send the webpage performance data.
- Click OK.
Configuring a virtual server to export EdgeSight statistics to AppFlow collectors
To export EdgeSight statistics information from a virtual server to the AppFlow collector, you must associate an AppFlow action with the virtual server.
To associate an AppFlow action with a Load Balancing or Content Switching virtual server by using the GUI
- Navigate to Traffic Management > Load Balancing > Virtual Servers. You can also navigate to Traffic Management > Content Switching > Virtual Servers.
- In the details pane, select a virtual server, or multiple virtual servers, and then click Enable EdgeSight Monitoring.
- In the Enable EdgeSight Monitoring dialog box, select the Export EdgeSight statistics to Appflow check box.
- From the AppFlow Action drop-down list, select the AppFlow action. The AppFlow action defines the list of AppFlow collectors to which it exports EdgeSight Monitoring statistics. If you have selected multiple load balancing virtual servers, the same AppFlow Action is associated with the responder policies bound to them. You can later change the AppFlow Action configured for each of the selected Load Balancing virtual server individually, if necessary.
- Click OK.
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