-
Getting Started with NetScaler
-
Deploy a NetScaler VPX instance
-
Optimize NetScaler VPX performance on VMware ESX, Linux KVM, and Citrix Hypervisors
-
Apply NetScaler VPX configurations at the first boot of the NetScaler appliance in cloud
-
Configure simultaneous multithreading for NetScaler VPX on public clouds
-
Install a NetScaler VPX instance on Microsoft Hyper-V servers
-
Install a NetScaler VPX instance on Linux-KVM platform
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Prerequisites for installing NetScaler VPX virtual appliances on Linux-KVM platform
-
Provisioning the NetScaler virtual appliance by using OpenStack
-
Provisioning the NetScaler virtual appliance by using the Virtual Machine Manager
-
Configuring NetScaler virtual appliances to use SR-IOV network interface
-
Configure a NetScaler VPX on KVM hypervisor to use Intel QAT for SSL acceleration in SR-IOV mode
-
Configuring NetScaler virtual appliances to use PCI Passthrough network interface
-
Provisioning the NetScaler virtual appliance by using the virsh Program
-
Provisioning the NetScaler virtual appliance with SR-IOV on OpenStack
-
Configuring a NetScaler VPX instance on KVM to use OVS DPDK-Based host interfaces
-
-
Deploy a NetScaler VPX instance on AWS
-
Deploy a VPX high-availability pair with elastic IP addresses across different AWS zones
-
Deploy a VPX high-availability pair with private IP addresses across different AWS zones
-
Protect AWS API Gateway using the NetScaler Web Application Firewall
-
Configure a NetScaler VPX instance to use SR-IOV network interface
-
Configure a NetScaler VPX instance to use Enhanced Networking with AWS ENA
-
Deploy a NetScaler VPX instance on Microsoft Azure
-
Network architecture for NetScaler VPX instances on Microsoft Azure
-
Configure multiple IP addresses for a NetScaler VPX standalone instance
-
Configure a high-availability setup with multiple IP addresses and NICs
-
Configure a high-availability setup with multiple IP addresses and NICs by using PowerShell commands
-
Deploy a NetScaler high-availability pair on Azure with ALB in the floating IP-disabled mode
-
Configure a NetScaler VPX instance to use Azure accelerated networking
-
Configure HA-INC nodes by using the NetScaler high availability template with Azure ILB
-
Configure a high-availability setup with Azure external and internal load balancers simultaneously
-
Configure a NetScaler VPX standalone instance on Azure VMware solution
-
Configure a NetScaler VPX high availability setup on Azure VMware solution
-
Configure address pools (IIP) for a NetScaler Gateway appliance
-
Deploy a NetScaler VPX instance on Google Cloud Platform
-
Deploy a VPX high-availability pair on Google Cloud Platform
-
Deploy a VPX high-availability pair with external static IP address on Google Cloud Platform
-
Deploy a single NIC VPX high-availability pair with private IP address on Google Cloud Platform
-
Deploy a VPX high-availability pair with private IP addresses on Google Cloud Platform
-
Install a NetScaler VPX instance on Google Cloud VMware Engine
-
-
Solutions for Telecom Service Providers
-
Load Balance Control-Plane Traffic that is based on Diameter, SIP, and SMPP Protocols
-
Provide Subscriber Load Distribution Using GSLB Across Core-Networks of a Telecom Service Provider
-
Authentication, authorization, and auditing application traffic
-
Basic components of authentication, authorization, and auditing configuration
-
Web Application Firewall protection for VPN virtual servers and authentication virtual servers
-
On-premises NetScaler Gateway as an identity provider to Citrix Cloud
-
Authentication, authorization, and auditing configuration for commonly used protocols
-
Troubleshoot authentication and authorization related issues
-
-
-
-
-
-
Configure DNS resource records
-
Configure NetScaler as a non-validating security aware stub-resolver
-
Jumbo frames support for DNS to handle responses of large sizes
-
Caching of EDNS0 client subnet data when the NetScaler appliance is in proxy mode
-
Use case - configure the automatic DNSSEC key management feature
-
Use Case - configure the automatic DNSSEC key management on GSLB deployment
-
-
-
Persistence and persistent connections
-
Advanced load balancing settings
-
Gradually stepping up the load on a new service with virtual server–level slow start
-
Protect applications on protected servers against traffic surges
-
Retrieve location details from user IP address using geolocation database
-
Use source IP address of the client when connecting to the server
-
Use client source IP address for backend communication in a v4-v6 load balancing configuration
-
Set a limit on number of requests per connection to the server
-
Configure automatic state transition based on percentage health of bound services
-
-
Use case 2: Configure rule based persistence based on a name-value pair in a TCP byte stream
-
Use case 3: Configure load balancing in direct server return mode
-
Use case 6: Configure load balancing in DSR mode for IPv6 networks by using the TOS field
-
Use case 7: Configure load balancing in DSR mode by using IP Over IP
-
Use case 10: Load balancing of intrusion detection system servers
-
Use case 11: Isolating network traffic using listen policies
-
Use case 12: Configure Citrix Virtual Desktops for load balancing
-
Use case 13: Configure Citrix Virtual Apps and Desktops for load balancing
-
Use case 14: ShareFile wizard for load balancing Citrix ShareFile
-
Use case 15: Configure layer 4 load balancing on the NetScaler appliance
-
-
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Export metrics directly from NetScaler to Splunk
-
Export audit logs and events directly from NetScaler to Splunk
-
-
-
-
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Authentication and authorization for System Users
-
-
-
Configuring a CloudBridge Connector Tunnel between two Datacenters
-
Configuring CloudBridge Connector between Datacenter and AWS Cloud
-
Configuring a CloudBridge Connector Tunnel Between a Datacenter and Azure Cloud
-
Configuring CloudBridge Connector Tunnel between Datacenter and SoftLayer Enterprise Cloud
-
Configuring a CloudBridge Connector Tunnel Between a NetScaler Appliance and Cisco IOS Device
-
CloudBridge Connector Tunnel Diagnostics and Troubleshooting
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Export metrics directly from NetScaler to Splunk
NetScaler now supports direct export of metrics to Splunk in the JSON format. NetScaler provides rich metrics to monitor your application health and application security health. By exporting the metrics provided by NetScaler to Splunk, you can visualize the metrics and get meaningful insights.
Configure exporting metrics directly from NetScaler to Splunk
To configure the export of metrics you must perform the following steps:
- Configure an HTTP event collector (HEC) on Splunk.
- Create a service for Splunk on NetScaler.
- Create a time series analytics profile for direct export of metrics to Splunk.
Configure an HTTP event collector on Splunk
You can forward metrics to Splunk by configuring an HTTP event collector. Configuring the HTTP event collector involves creating an authentication token and associating a metric index with the token where metrics are sent, and setting the HTTP port number.
See the Splunk documentation for information on how to configure the HTTP event collector.
Once you have configured the HTTP event collector, copy the authentication token and save it for reference. You need to specify this token while configuring the analytics profile on NetScaler.
Create a collector service for Splunk on NetScaler
You can create a collector service on NetScaler to collect and export metrics from NetScaler to Splunk. Do the following to create a collector service for Splunk.
add service <collector> <splunk-server-ip-address> <protocol> <port>
Example:
add service splunk_service 10.102.34.155 HTTP 8088
In this configuration:
-
ip-address
: Specify the Splunk server IP address. -
collector-name
: Specify the collector. -
protocol
: Specify the protocol as HTTP or HTTPS -
port
: Specify the port number of the Splunk HTTP event collector.
Configure a time series analytics profile on NetScaler
Do the following to create a time series analytic profile on NetScaler. While creating the time series profile, enable the option for metrics collection and specify details such as Splunk authentication token, name of the collector, output mode, and URL. By default, the time series analytics data is exported every 30 seconds but you can configure it in the range of 30–300 seconds using the metrics frequency parameter.
-
Create a time series analytics profile.
add analytics profile <profile-name> -type timeseries -metrics enabled -outputMode json -collectors <collector-name> -analyticsAuthToken <"auth-token"> -analyticsEndpointUrl <endpoint-url>
In this configuration,
auth_token
must be configured as “Splunk<auth token generated in Splunk HTTP event collector>
”.Example:
add analytics profile splunk_profile -type timeseries -metrics enabled -outputMode json -collectors splunk_service -analyticsAuthToken "Splunk 1234-5678-12345" -analyticsEndpointUrl /services/collector
In this configuration:
-
metrics
: Specify the value as enabled to enable metrics collection. -
collectors
: Specify the collector service created for Splunk. -
analyticsAuthToken
: Specify the authentication token to be included in the authorization header while sending metrics to Splunk. The format is “Splunkauth-token
”. Here,auth-token
is the authentication token created on the Splunk server while configuring the HTTP event collector. -
analyticsEndpointUrl
: Configure this value as/services/collector
to send metrics to the default index associated with the configured auth token. To redirect metrics to a specific index, specify the index name in the URL (/services/collector?index=
).
Note:
You can modify the time series analytics profile parameters using the
set analytics profile
command. -
-
Verify the analytics profile configuration using the show analytics profile command.
# show analytics profile splunk_profile 1) Name: splunk_profile Collector: splunk_service Profile-type: timeseries Output Mode: json Metrics: ENABLED Schema File: schema.json Metrics Export Frequency: 30 Events: DISABLED Auditlog: DISABLED Serve mode: Push Authentication Token: <auth-token> Endpoint URL: /services/collector Endpoint Content-type: Endpoint Metadata: Reference Count: 0
Once the configuration is successful, metrics are sent as HTTP payloads to Splunk and you can view it on the Splunk application user interface.
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