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F5-TRG-BIG-AUTO
Automating BIG-IP with Ansible
Contact F5-TRG-BIG-AUTO

 

Overview

This course assumes that you have successfully completed the Administering BIG-IP course, or equivalent, and have hands-on experience working in a production BIG-IP environment for several months. You should have a solid understanding of the environment in which the BIG-IP is deployed. This course is meant for BIG-IP administrators, network engineers, applications engineers, etc., who will be responsible for troubleshooting problems associated with their BIG-IP system.

Students will learn:

  • Learn DevOps techniques for the onboarding of and deploying apps to BIG-IP. Start by reviewing the Linux command line and then review basic BIG-IP concepts such as F5 terminology, round robin server pool load balancing, health monitor checks, layer 4 proxying, and source address translation both in lecture and in hands-on labs. Next, focus on automation and DevOps concepts, such as Infrastructure as Code, the role of orchestration, Source of Truth, atomicity, idempotency and imperative vs. declarative operations and their APIs.
  • Dive into JSON, the standard scripting notation of DevOps, and investigate programming BIG-IP systems using JSON-based iControl REST. Discover onboarding BIG-IP using iControl REST, both in lecture and hands-on labs.
  • Explore the alternative data serialization language to JSON, YAML, which is used by Kubernetes and many other applications, before jumping into Ansible. Learn about the Ansible architecture, components, modules and how it uses Python and iControl REST to run on just about any platform. Build trust relationships with BIG-IP systems and backend servers using advanced inventory files. Create sophisticated playbooks that feature fact gathering, conditional tasks, and secure password vaults that are used to onboard, provision, license and deploy HA applications to BIG-IP systems.

Duration

  •  2 days

Language

  • English
  • Portuguese
  • Spanish

 

Delivery Mode:

  • ILT
  • VILT

 

 

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Contact us!

 

 

Location Mexico

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