Opleiding: F5 Developing iRules for BIG-IP
Course Outline
This course provides networking professionals a functional understanding of iRules development. The course builds on the foundation of the Administering BIG-IP v11 course demonstrating how to logically plan and write iRules to help monitor and manage common tasks involved with processing traffic on the BIG-IP. Course Labs consist of writing applying and evaluating the effect of iRules on LTM traffic. This hands-on course includes lectures labs and discussions.
Prerequisites & Audience
Students should be familiar with the BIG-IP LTM system and in particular how to setup and configure a BIG-IP LTM system including virtual servers pools profiles VLANs and self-IPs.
Students are required to complete one of the following F5 prerequisites before attending this course:
- Administering BIG-IP V11 instructor-led course
- F5 Certified BIG-IP Administrator
In addition the following web-based courses will be very helpful for any student with limited BIG-IP LTM administration and configuration:
- Getting Started with BIG-IP web-based training
- Getting Started with BIG-IP Local Traffic Manager (LTM) web-based training
Students should understand:
- TMOS administration
- Network concepts and configuration
- Programming concepts
- Web application delivery
Target Audience
This course is intended for network administrators network engineers network architects application developers security administrators and security architects responsible for installation setup configuration and administration of BIG-IP LTM Systems. Students attending should be interested in developing iRules to help monitor and manage common tasks involved with processing traffic on BIG-IP.
Course Topics
Topics covered in this course include:
- Introduction
- DevCentral - The Resource for iRules
- iRule Elements
- Syntax and Troubleshooting
- iRule Optimization
- iRules and Security
- Expressions and Operators
- Variables and Loops
- External File Types: iFiles and Data Classes
- Profiles: Persistence Stream and Statistics
- Advanced Variables and Final Project
