Josh VanDeraa

In this post I’m going to dive into a bit more on the Nautobot custom validators. This is a powerful validation tool that will allow for you to write your own validation capability, including in this demonstration on how to complete a validation against a remote API endpoint. The custom validators are a part of the Nautobot App extension capability. This allows for custom code to be written to validate data upon the clean() method being called, which is used in the majority of API calls and form inputs of Nautobot.

Newly released (at some point anyway) is Slack Canvas, what looks to be a little bit of on demand wiki, collaboration space, and possibly (based on marketing materials) workflow organizer. This came to light as a “pop up” when I went into a Slack window on my mobile. Being a curious person and someone that is willing to try out new things I jumped right in.

The Python Poetry is our go to package management system thus far, you can see that in all of the Python projects that Network to Code open sources, such as Nautobot, pyntc, network-importer, and NTC-Templates. Lately though, I’ve been having some challenges when my HomeBrew updates happen and my system Python gets updated. I’ve been able to recover with the help of the same few pages I land on from my Google searches. But since I’ve done this twice now, I’m using this post to document the fix as much as for myself, but for anyone else that may come across Poetry issues.

With Nautobot, one of the things that came up was how to work with secrets. Nautobot itself is not the place to maintain secrets, as it is not a vault. There may be some good cryptographic libraries out to handle this, but by its nature, that is not the intent. So Nautobot has written methods to be able to retrieve secrets from proper vault sources and be able to leverage them. These can be tricky to get set up however. I had struggled for a while myself. So now that I have it working, I thought it would be a good time to have a quick personal blog about it.

Today I was working to demonstrate how to get started with Nautobot Jobs within the Jobs root of Nautobot. This is not a pattern that I develop often, as I am typically developing Jobs within a plugin as my development standard. More to come on that later. During this case, the ask was to build a Job that would connect to a network device. I had a few troubles that I didn’t want to have to work through on a call that had limited time and that was a screen share. So I am taking to working on this via a blog post to share, and hopefully will be helpful for others as well.

In this post I dive into more about my migration of the blog site to Hugo static content system. I will dive into primarily the why and how during this post. This also dives into the few changes that I had to make in order to make the change over from a Jekyll site to the Hugo site.

Why Migrate? #

While I do not have a ton of posts, I do have a few that I like to get out into the wild periodically. As I looked around the landscape of the blog pages these days, I was starting to see my page a bit dated. I had previously went with the Jekyll Minimal Mistakes theme. The theme itself was wonderful and quite extensible. However, one of my concerns besides the look was the lack of updates coming out on the theme. Not that I was going to be taking advantage of every new feature, there seems to have been a slow down.

One of the great things about building an enterprise system, is being able to get systems to work cohesively amongst themselves to bring a complete solution. One of the workflows that is often required in a static IP address environment is the need to provide static IP addresses to hosts on a network segment. When using an IPAM (IP Address Management) solution such as Nautobot, the APIs and SDKs/modules made available for use in automation workflows is paramount to having the cohesion to make a seamless IT system.

One of the features that I find myself using periodically that I think is underrated as far as using GraphQL is its ability to alias return keys in the response. This can be extremely helpful for developers writing applications, as it allows them to have the API response with the keys they are looking for. I have found this feature particularly useful when working on applications like Meraki and Nautobot together. In Nautobot a place is typically defined as the key site. In the Meraki world this is commonly set up as a network. Without GraphQL’s alias feature, the developer would need to translate this data over.

This is a topic that I’m fairly opinionated on as of late is looking at what should be maintained within an inventory and the strategy of how to set up the inventory.

For the case of this blog post, I am going to use the term playbook to represent the automation being run. This is yes an Ansible term, but also apply this as your automation run that is using Nornir or any other automation framework.

This week Cisco announced the DevNet Expert certification exam. This exam and certification is something that I have been looking forward to for a long while. Dating back to the announcement of the certifications that were being provided. This was announced at Cisco Live 2019 in San Diego. I had started to lose some hope that this would become a reality with how long of a delay from the initial announcement to the announcement of availability. But it is now here. So here we go.