In the last weeks I described the challenges you might face when converting XML documents that contain lists with a single element into JSON, be it on device (Nexus OS) or in an Ansible module. Now let’s see how we can fix that.

There’s one more thing I feel needs to be done before I go for that coffee break: a webinar focusing on network automation concepts (as opposed to replacing Excel with YAML and Ansible or Becoming a Python Coder). Here’s a rough list of concepts I think should be in there:

• Data models and data stores
• Data model transformations
• Single source of truth
• Abstraction layers
• Idempotency

Anyone who spent some time reading cloud providers’ documentation instead of watching slide decks or vendor keynotes knows that setting up infrastructure in a public cloud is not much simpler than doing it on-premises. You will outsource hardware management (installations, upgrades, replacements…) and might deal with an orchestration system provisioning services instead of configuring individual devices, but you still have to make the same decisions, and take the same set of responsibilities.

In December 2020 Ed Horley invited me to a chat about IPv6 in the public cloud. While I usually don’t want to think about a protocol that’s old enough to buy its own beer in US, we nonetheless had interesting discussions (including the need for frequent RA messages in AWS VPC).

Corey Quinn mentioned me in a tweet linking to AWS announcement that they are the biggest user of BGP RPKI (by the size of signed address space) worldwide. Good for them – I’m sure it got their marketing excited. It’s also trivial to do once you have the infrastructure in place. Just saying…

On a more serious front: how important is RPKI and what misuses can it stop?

If you’ve never heard of RPKI, the AWS blog post is not too bad, Nick Matthews wrote a “look grandma, this is how it works” version in 280-character installments, and you should definitely spend some time exploring MANRS resources. Here’s a short version for differently-attentive ;))

Last week I wrote about the interesting challenges you might encounter when using data generated by a Junos device in an Ansible playbook. Unfortunately it’s not just Junos – every system built around XML-based data structures might experience the same issues, including Cisco Nexus OS.

I always claimed that VMware Fault Tolerance makes no sense. After all, the only thing it does is protect a VM against a server hardware failure… in the world where software crashes are way more common, and fat fingers cause most of the outages.

But wait, it gets worse, the whole thing is incredibly complex – you might like this description Minh Ha left as a comment to my Fifty Shades of High Availability blog post.

In mid-December I announced a set of tools that will help you build Vagrant-based remote labs much faster than writing Vagrantfiles and Ansible inventories by hand.

In early January I received a nice surprise: Dave Thelen not only decided to use the tool, he submitted a pull request with full-blown (and correctly implemented) ArcOS support. A few days later I managed to figure out what needs to be configured on vSRX to make it work, added Junos support, and thus increased the number of supported platforms to six (spanning five different operating systems).

After discussing the technology options one has when trying to get a packet across the network, we dived deep into two interesting topics:

• How do you combine packet forwarding at multiple layers of OSI stack (multi-layer switching)?
• What happens when you do layer-N forwarding over layer-M transport core where N <= M (example: IPv6 packets over IPv4 packets) aka tunneling?

You’ll find more details (including other hybrids like Loose Source Routing) in Multi-Layer Switching and Tunneling video.

When you want to transport a complex data structure between components of a distributed system you’re usually using a platform-independent data encoding format like XML, YAML, or JSON.

XML was the hip encoding format in days when Junos and Cisco Nexus OS was designed and lost most of its popularity in the meantime due to its complexity (attributes, namespaces…) that makes it hard to deal with XML documents in most programming languages.

JSON is the new cool kid on the block. It’s less complex than XML, maps better into data structures supported by modern programming languages, and has decently fast parser implementations.