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My scripts and code and other stuff to help better support BIG-IP VE on Azure

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thepowercoders/my-bigip-stuff

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f5-bigip

This repo contains various F5 scripts and workbooks which I have developed in supporting build and configuration of the F5 BIG-IP NVA. I only build in Microsoft Azure so these scripts may be usable for appliances or other clouds, but bear in mind that I am not writing or supporting them for anything other than Azure. The repo contains the following:

azure-build

This folder contains scripts which have been developed to support the build of a BIG-IP Virtual Edition (VE) Virtual Machines in Azure.

ltm

This folder contains scripts used in the Local Traffic Manager (LTM). The scripts are detailed below:

EAV Monitor

scripts

This folder contains various scripts used to support various activities on the BIG-IP. The scripts are detailed below:

upload_package

This script is used to install a iControl LX package (DO, AS3, TS ..etc). It was written as the bigip-runtime-init was failing for me when I was trying to install Telemetry Streaming due to a timeout (ref: github issue 51).

The script will install the package and check that install has been successful by polling the iApps LX package control endpoint: /mgmt/shared/iapp/package-management-tasks

telemetry-streaming

This folder contains Azure Log Analytics workbooks which have been developed to visual telemetry data sent to Azure by the Telemetry Streaming service.

The following workbooks have been developed:

To install a workbook, type 'workbooks' in the Azure Portal search bar and select 'Azure Workbooks':

Azure Portal Search

Select 'Create' and then select to create an Empty workbook New Workbook

Click the Advanced Editor button : Advanced Editor Button

  • Make sure Template Type is set to 'Gallery Template'.
  • In the edit box, remove the initial configuration.
  • Copy-Paste the required workbook from this repo into the edit box.
  • Click on the Apply button.

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My scripts and code and other stuff to help better support BIG-IP VE on Azure

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