Welcome to F5’s Automation, Orchestration and Programmability Training series. The intended audience for these labs are Super NetOps and DevOps engineers that would like to leverage the various programmability tools offered by the F5 platform. If you require a pre-built lab environment please contact your F5 account team and they can provide access to environments on an as-needed basis.
The content contained here leverages a full DevOps CI/CD pipeline and is sourced from the following GitHub repository:
https://github.com/f5devcentral/f5-automation-labs/
Bugs and Requests for enhancements can be made using by opening an Issue within the repository.
Please follow the instructions provided by the instructor to start your lab and access your jump host.
Note
All work for this lab will be performed exclusively from the Windows jumphost. No installation or interaction with your local system is required.
In order to complete this series of training classes you will need to utilize a specific Lab Environment. You can consume this training in a couple of ways:
All pre-built environments implement the Lab Topology shown below.
Please follow the instructions provided by your lab instructor to access your lab environment.
Warning
The AWS CFT will run in your account. The template includes components and instances that will incur a charge. This charge will be billed to your account.
Click the link below to start a pre-built lab environment using a CloudFormation template in Amazon AWS:
The network topology implemented for this lab is very simple. Since the focus of the lab is Control Plane programmability rather that Data Plane traffic flow we can keep the data plane fairly simple. The following components have been included in your lab environment:
The following table lists VLANS, IP Addresses and Credentials for all components:
Component | VLAN/IP Address(es) | Credentials |
---|---|---|
Windows Jumphost |
|
Administrator/available in instance details |
BIG-IP A |
|
admin/admin |
BIG-IP B |
|
admin/admin |
iWorkflow |
|
admin/admin |
Linux Server |
|
root/default |
Docker Server |
|
root/default |