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Getting Started with Citrix ADC
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Deploy a Citrix ADC VPX instance
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Apply Citrix ADC VPX configurations at the first boot of the Citrix ADC appliance in cloud
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Install a Citrix ADC VPX instance on Microsoft Hyper-V servers
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Install a Citrix ADC VPX instance on Linux-KVM platform
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Prerequisites for Installing Citrix ADC VPX Virtual Appliances on Linux-KVM Platform
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Provisioning the Citrix ADC Virtual Appliance by using OpenStack
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Provisioning the Citrix ADC Virtual Appliance by using the Virtual Machine Manager
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Configuring Citrix ADC Virtual Appliances to Use SR-IOV Network Interface
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Configuring Citrix ADC Virtual Appliances to use PCI Passthrough Network Interface
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Provisioning the Citrix ADC Virtual Appliance by using the virsh Program
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Provisioning the Citrix ADC Virtual Appliance with SR-IOV, on OpenStack
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Configuring a Citrix ADC VPX Instance on KVM to Use OVS DPDK-Based Host Interfaces
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Deploy a Citrix ADC 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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Configure a Citrix ADC VPX instance to use SR-IOV network interface
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Configure a Citrix ADC VPX instance to use Enhanced Networking with AWS ENA
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Deploy a Citrix ADC VPX instance on Microsoft Azure
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Network architecture for Citrix ADC VPX instances on Microsoft Azure
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Configure multiple IP addresses for a Citrix ADC 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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Configure a Citrix ADC VPX instance to use Azure accelerated networking
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Configure HA-INC nodes by using the Citrix high availability template with Azure ILB
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Configure address pools (IIP) for a Citrix Gateway appliance
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Upgrade and downgrade a Citrix ADC appliance
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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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On-premises Citrix 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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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 14: ShareFile wizard for load balancing Citrix ShareFile
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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 Citrix ADC Appliance and Cisco IOS Device
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CloudBridge Connector Tunnel Diagnostics and Troubleshooting
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Synchronizing Configuration Files in a High Availability Setup
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Restricting High-Availability Synchronization Traffic to a VLAN
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Understanding the High Availability Health Check Computation
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Managing High Availability Heartbeat Messages on a Citrix ADC Appliance
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Remove and Replace a Citrix ADC in a High Availability Setup
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About text expressions
You can configure various expressions for working with text that flows through the Citrix ADC appliance. Following are some examples of how you can parse text by using a default syntax expression:
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Determine that a particular HTTP header exists.
For example, you may want to identify HTTP requests that contains a particular Accept-Language header for the purpose of directing the request to a particular server.
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Determine that a particular HTTP URL contains a particular string.
For example, you may want to block requests for particular URLs. Note that the string can occur at the beginning, middle, or end of another string.
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Identify a POST request that is directed to a particular application.
For example, you may want to identify all POST requests that are directed to a database application for the purpose of refreshing cached application data.
Note that there are specialized tools for viewing the data stream for HTTP requests and responses. You can use the tools to view the data stream.
About operations on text
A text-based expression consists of at least one prefix to identify an element of data and usually (although not always) an operation on that prefix. Text-based operations can apply to any part of a request or a response. Basic operations on text include various types of string matches.
For example, the following expression compares a header value with a string:
http.req.header("myHeader").contains("some-text")
Following expressions are examples of matching a file type in a request:
http.req.url.suffix.contains("jpeg")
http.req.url.suffix.eq("jpeg")
In the preceding examples, the contains operator permits a partial match and the eq operator looks for an exact match.
Other operations are available to format the string before evaluating it. For example, you can use text operations to strip out quotes and white spaces, to convert the string to all lowercase, or to concatenate strings.
Note:
Complex operations are available to perform matching based on patterns or to convert one type of text format to another type.
For more information, see the following topics:
Compounding and precedence in text expressions
You can apply various operators to combine text prefixes or expressions. For example, the following expression concatenates the returned values of each prefix:
http.req.hostname + http.req.url
Following is an example of a compound text expression that uses a logical AND. Both components of this expression must be TRUE for a request to match the expression:
http.req.method.eq(post) && http.req.body(1024).startswith("destination=")
Note:
For more information on operators for compounding, see Compound advanced expressions.
Categories of text expressions
The primary categories of text expressions that you can configure are:
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Information in HTTP headers, HTTP URLs, and the POST body in HTTP requests.
For more information, see Expression prefixes for text in HTTP requests and responses.
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Information regarding a VPN or a clientless VPN.
For more information, see Expression prefixes for VPNs and clientless VPNs.
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TCP payload information.
For more information about TCP payload expressions, see Advanced policy expressions: Parsing HTTP, TCP, and UDP data.
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Text in a Secure Sockets Layer (SSL) certificate.
For information about text expressions for SSL and SSL certificate data, see Advanced policy expressions: Parsing SSL certificates and Expressions for SSL certificate dates.
Note:
Parsing a document body, such as the body of a POST request, can affect performance. You may want to test the performance impact of policies that evaluate a document body.
Guidelines for text expressions
From a performance standpoint, it typically is best to use protocol-aware functions in an expression. For example, the following expression makes use of a protocol-aware function:
HTTP.REQ.URL.QUERY
The previous expression performs better than the following equivalent expression, which is based on string parsing:
HTTP.REQ.URL.AFTER_STR("?")
In the first case, the expression looks specifically at the URL query. In the second case, the expression scans the data for the first occurrence of a question mark.
There is also a performance benefit from structured parsing of text, as in the following expression:
HTTP.REQ.HEADER("Example").TYPECAST_LIST_T(',').GET(1)
(For more information on typecasting, see Typecasting data. The typecasting expression, which collects comma-delimited data and structures it into a list, typically would perform better than the following unstructured equivalent:
HTTP.REQ.HEADER("Example").AFTER_STR(",").BEFORE_STR(",")
Finally, unstructured text expressions typically have better performance than regular expressions. For example, the following is an unstructured text expression:
HTTP.REQ.HEADER("Example").AFTER_STR("more")
The previous expression would generally provide better performance than the following equivalent, which uses a regular expression:
HTTP.REQ.HEADER("Example").AFTER_REGEX(re/more/)
For more information on regular expressions, see Regular expressions.
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