F5 Networks Developing iRules for BIG-IP

Lesson 1: Setting Up the BIG-IP System

• Introducing the BIG-IP System
• Initially Setting Up the BIG-IP System
• Archiving the BIG-IP System Configuration
• Leveraging F5 Support Resources and Tools

Lesson 2: Getting Started with iRules

• Customizing Application Delivery with iRules
• Triggering an iRule
• Leveraging the DevCentral Ecosystem
• Creating and Deploying iRules

Lesson 3: Exploring iRule Elements

• Introducing iRule Constructs
• Understanding iRule Events and Event Context
• Working with iRule Commands
• Logging from an iRule Using SYSLOG-NG (LOG Command)
• Working with User-Defined Variables
• Working with Operators and Data Types
• Working with Conditional Control Structures (IF and SWITCH)
• Incorporating Best Practices in iRules

Lesson 4: Developing and Troubleshooting iRules

• Mastering Whitespace and Special Symbols
• Grouping Strings
• Developing and Troubleshooting Tips
• Using Fiddler to Test and Troubleshoot iRules

Lesson 5: Optimizing iRule Execution

• Understanding the Need for Efficiency
• Measure iRule Runtime Efficiency Using Timing Statistics
• Modularizing iRules for Administrative Efficiency
• Using Procedures to Modularize Code
• Optimizing Logging
• Using High-Speed Logging Commands in an iRule
• Implementing Other Efficiencies
• Using Looping Control Structures (WHILE, FOR, FOREACH Commands)

Lesson 6: Securing Web Applications with iRules

• Integrating iRules into Web Application Defense
• Mitigating HTTP Version Attacks
• Mitigating Path Traversal Attacks
• Using iRules to Defends Against Cross-Site Request Forgery (CSRF)
• Mitigating HTTP Method Vulnerabilities
• Securing HTTP Cookies with iRules
• Adding HTTP Security Headers
• Removing Undesirable HTTP Headers

Lesson 7: Working with Numbers and Strings

• Understanding Number Forms and Notation
• Working with Strings (STRING and SCAN Commands)
• Combining Strings (Adjacent Variables, CONCAT and APPEND Commands)
• Using iRule String Parsing Functions (FINDSTR, GETFIELD, and SUBSTR Commands)

Lesson 8: Processing the HTTP Payload

• Reviewing HTTP Headers and Commands
• Accessing and Manipulating HTTP Headers (HTTP::header Commands)
• Other HTTP commands (HTTP::host, HTTP::status, HTTP::is_keepalive, HTTP::method, HTTP::version, HTTP::redirect, HTTP::respond, HTTP::uri)
• Parsing the HTTP URI (URI::path, URI::basename, URI::query)
• Parsing Cookies with HTTP::cookie
• Selectively Compressing HTTP Data (COMPRESS Command)

Lesson 9: Working with iFiles and Data Groups

• Working with iFiles
• Introducing Data Groups
• Working with Old Format Data Groups (MATCHCLASS, FINDCLASS)
• Working with New Format Data Groups (CLASS MATCH, CLASS SEARCH)

Lesson 10: Using iRules with Universal Persistence, Stream, and Statistics Profiles

• Implementing Universal Persistence (PERSIST UIE Command)
• Working with the Stream Profile (STREAM Command)
• Collecting Statistics Using a Statistics Profile (STATS Command)
• Collecting Statistics Using iStats (ISTATS Command)

Lesson 11: Incorporating Advanced Variables

• Reviewing the Local Variable Namespace
• Working with Arrays (ARRAY Command)
• Using Static and Global Variables
• Using the Session Table (TABLE Command)
• Processing Session Table Subtables
• Counting “Things” Using the Session Table

Students will learn,

• Setting Up the BIG-IP System
• Getting Started with iRules
• Exploring iRule Elements
• Developing and Troubleshooting iRules
• Optimizing iRule Execution
• Securing Web Applications with iRules
• Working with Numbers and Strings
• Processing the HTTP Payload
• Working with iFiles and Data Groups
• Using iRules with Universal Persistence, Stream, and Statistics Profiles
• Incorporating Advanced Variables

Administering BIG-IP or Configuring BIG-IP LTM: Local Traffic Manager or hold the F5 Certified BIG-IP Administrator certification

F5 Networks Administering BIG-IP

Or

F5 Networks Configuring BIG-IP LTM: Local Traffic Manager

This course is intended for system administrators, network administrators and application developers responsible for the customization of traffic flow through a BIG-IP system.