Managing DHCP with Puppet

Managing DHCP with Puppet

In my previous post on managing DNS with Puppet I walked you through the code to configure an internal DNS domain with puppet. In this post I will cover setting up a DHCP server that supports IP reservations and has failover configured. I use this with two raspberry pis that also provide my DNS. While DHCP might often be ran off your router, in a home lab you might want to run DHCP in a separate VLAN for testing things out like PXE booting.

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Managing DNS with Puppet

Managing DNS with Puppet

One of the more important things in configuration management is DNS. In home labs we often don’t have DNS out of box. Some folks do use pi-holes but often don’t configure custom domains. I often use static reservations for all my IOT devices. This means all devices on my network can use DNS names to configure and talk to each other with those respective static’ish IPs. In this post I will show you how I use Puppet to setup an internal DNS domain.

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Graphite, Grafana and Collectd

Graphite, Grafana and Collectd

I recently moved my existing esxi hypervisors to ProxMox to have more control then the esxi shell allowed. This allows me to run puppet natively on the hyper visor host. As part of this upgrade I installed an old SSD and ram into my 2011 Mac Mini. While doing so I broke the small traces that attach the cooling fan. After some research I found many people have done the same and just leave it fanless. This presented me with a great opportunity to graph the the various temp sensors as I tried different cooling methods.

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Run Terraform In Docker

Run Terraform In Docker

In my previous post on compiling go in docker I noted that it had many advantages. This is also true for tools like terraform. One of the major advantages of say Terraform Cloud is the fact that you can pin or change your terraform version. Terraform like many configuration languages is not backwards compatible. Upgrading code , while easier then say puppet , can be complex when you have multiple state files. Being able to selectively upgrade one terraform configuration while leaving the others pinned allows for more flexibility. Using docker means you don’t have to rely on your local machines copy or version compatibility across your team.

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