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Data Model Transformations in Network Automation Solutions

Last year I wrote an article describing data model optimization going from a simple this is what we need to configure individual devices to a highly polished high-level network nodes and links model. Not surprisingly, as Jeremy Schulman was quick to point out, the latter one had Jinja2 templates you wouldn’t want to debug. Ever. You can’t run away from complexity… but you can manage it.

Many successful network automation solutions (example: Cisco NSO) solve the “we’d love to work with high-level data models but hate complex templates” challenge with data transformation: operators work with an abstracted data model describing services, nodes and links, and the device configuration templates use low-level data derived from the abstracted data models through a series of business logic rules or lookups (aka network design).

Link-State Routing Protocols Are Eventually Consistent

One of my readers sent me this interesting question:

Assuming we are running a very large OSPF area with a few thousand nodes. If we follow the chain reaction of OSPF LSA flooding while the network is converging at the same time, how would all routers come to know that they all now have same view of area link states and there are no further updates or convergence?

I have bad news: the design requirements for link state protocols effectively prevent that idea from ever working well.

Link-State Routing Protocols Are Eventually Consistent

One of my readers sent me this interesting question:

Assuming we are running a very large OSPF area with a few thousand nodes. If we follow the chain reaction of OSPF LSA flooding while the network is converging at the same time, how would all routers come to know that they all now have same view of area link states and there are no further updates or convergence?

I have bad news: the design requirements for link state protocols effectively prevent that idea from ever working well.

Availability Zones and Regions in AWS, Azure and GCP

My friend Daniel Dib sent me this interesting question:

As I understand it, subnets in Azure span availability zones. Do you see any drawback to this? Does subnet matter if your VMs are in different AZs?

I’m positive I don’t have to tell you what networks, subnets, and VRFs are, but you might not have worked with public cloud availability zones before. Before going into the details of Daniel’s question (and it will take us three blog posts to get to the end), let’s introduce regions and availability zones (you’ll find more details in AWS Networking and Azure Networking webinars).

Availability Zones and Regions in AWS, Azure and GCP

My friend Daniel Dib sent me this interesting question:

As I understand it, subnets in Azure span availability zones. Do you see any drawback to this? Does subnet matter if your VMs are in different AZs?

I’m positive I don’t have to tell you what networks, subnets, and VRFs are, but you might not have worked with public cloud availability zones before. Before going into the details of Daniel’s question (and it will take us three blog posts to get to the end), let’s introduce regions and availability zones (you’ll find more details in AWS Networking and Azure Networking webinars).

Rant: Don’t Ever Compare Enterprise IT Shenanigans with Apollo 13

Here’s a recent tweet by my friend Joe Onisick that triggered this blog post:

My favorite people are the ones that start with “how could we make that work?” Before jumping into all of their preconceived bs on why it won’t work.

I couldn’t agree more with that sentiment. The number of people who would invent all sorts of excuses just to avoid turning on their brains and keep to their cozy old methods is staggering. Unfortunately, someone immediately had the urge to switch into what I understood to be a heroic MacGyver mode (or maybe it was just my lack of caffeine, in which case I apologize for the misquote… but you might still like the rest of the rant):

Rant: Don’t Ever Compare Enterprise IT Shenanigans with Apollo 13

Here’s a recent tweet by my friend Joe Onisick that triggered this blog post:

My favorite people are the ones that start with “how could we make that work?” Before jumping into all of their preconceived bs on why it won’t work.

I couldn’t agree more with that sentiment. The number of people who would invent all sorts of excuses just to avoid turning on their brains and keep to their cozy old methods is staggering. Unfortunately, someone immediately had the urge to switch into what I understood to be a heroic MacGyver mode (or maybe it was just my lack of caffeine, in which case I apologize for the misquote… but you might still like the rest of the rant):

Worth Reading: Internet of Trash

I love the recent Internet of Trash article by Geoff Huston, in particular this bit:

“Move fast and break things” is not a tenable paradigm for this industry today, if it ever was. In the light of our experience with the outcomes of an industry that became fixated on pumping out minimally viable product, it’s a paradigm that heads towards what we would conventionally label as criminal negligence.

Of course it’s not just the Internet-of-Trash. Whole IT is filled with examples of startups and “venerable” companies doing the same thing and boasting about their disruptiveness. Now go and read the whole article ;)

Worth Reading: Internet of Trash

I love the recent Internet of Trash article by Geoff Huston, in particular this bit:

“Move fast and break things” is not a tenable paradigm for this industry today, if it ever was. In the light of our experience with the outcomes of an industry that became fixated on pumping out minimally viable product, it’s a paradigm that heads towards what we would conventionally label as criminal negligence.

Of course it’s not just the Internet-of-Trash. Whole IT is filled with examples of startups and “venerable” companies doing the same thing and boasting about their disruptiveness. Now go and read the whole article ;)

Worth Reading: Advice(s) for Engineering Managers

Just in case you were recently promoted to be a team leader or a manager: read these somewhat-tongue-in-cheek advices:

Need more career advice? How about The Six Year Rule by Bryan Sullins… or you could go and reread my certifications-related blog posts.

Worth Reading: Advice(s) for Engineering Managers

Just in case you were recently promoted to be a team leader or a manager: read these somewhat-tongue-in-cheek advices:

Need more career advice? How about The Six Year Rule by Bryan Sullins… or you could go and reread my certifications-related blog posts.

Repost: On the Importance of Line-Rate Switching of Small Packets

I made a flippant remark in a blog comment

While it’s academically stimulating to think about forwarding small packets (and applicable to large-scale VoIP networks), most environments don’t have to deal with those. Looks like it’s such a non-issue that I couldn’t find recent data; in the good old days ~50% of the packets were 1500 byte long.

… and Minh Ha (by now a regular contributor to my blog) quickly set me straight with a lengthy comment that’s too good to be hidden somewhere at the bottom of a page. Here it is (slightly edited). Also, you might want to read other comments to the original blog post for context.

Repost: On the Importance of Line-Rate Switching of Small Packets

I made a flippant remark in a blog comment

While it’s academically stimulating to think about forwarding small packets (and applicable to large-scale VoIP networks), most environments don’t have to deal with those. Looks like it’s such a non-issue that I couldn’t find recent data; in the good old days ~50% of the packets were 1500 byte long.

… and Minh Ha (by now a regular contributor to my blog) quickly set me straight with a lengthy comment that’s too good to be hidden somewhere at the bottom of a page. Here it is (slightly edited). Also, you might want to read other comments to the original blog post for context.

State Consistency in Distributed SDN Controller Clusters

Every now and then I get a question along the lines of “why can’t we have a distributed SDN controller (because resiliency) that would survive network partitioning?” This time, it’s not the incompetency of solution architects or programmers, but the fundamental limitations of what can be done when you want to have consistent state across a distributed system.

TL&DR: If your first thought was CAP Theorem you’re absolutely right. You can probably stop reading right now. If you have no idea what I’m talking about, maybe it’s time you get fluent in distributed systems concepts after you’re finished with this blog post and all the reference material linked in it. Don’t know where to start? I put together a list of resources I found useful.

State Consistency in Distributed SDN Controller Clusters

Every now and then I get a question along the lines of “why can’t we have a distributed SDN controller (because resiliency) that would survive network partitioning?” This time, it’s not the incompetency of solution architects or programmers, but the fundamental limitations of what can be done when you want to have consistent state across a distributed system.

TL&DR: If your first thought was CAP Theorem you’re absolutely right. You can probably stop reading right now. If you have no idea what I’m talking about, maybe it’s time you get fluent in distributed systems concepts after you’re finished with this blog post and all the reference material linked in it. Don’t know where to start? I put together a list of resources I found useful.

Demonstrate Small Automation Wins

Long long time ago in a country far far away when traveling was still a thing I led an interesting data center fabric design workshop. We covered tons of interesting topics, including automating network services deployments (starting with VLAN self-service for server admins).

As was often the case in my workshops, we had representatives from multiple IT teams sitting in the room, and when I started explaining how I’d automate VLAN deployments, the server administrator participating in the workshop quickly chimed in: “that’s exactly how I implemented self-service for some of our customers, it makes perfect sense to use the same approach for server port and VLAN provisioning”, and everyone else in the room agreed… apart from the networking engineer, who used a counter-argument along the lines of “we only provision a new VLAN or server port every few days, we can do it by hand” and no amount of persuasion would move him.

Demonstrate Small Automation Wins

Long long time ago in a country far far away when traveling was still a thing I led an interesting data center fabric design workshop. We covered tons of interesting topics, including automating network services deployments (starting with VLAN self-service for server admins).

As was often the case in my workshops, we had representatives from multiple IT teams sitting in the room, and when I started explaining how I’d automate VLAN deployments, the server administrator participating in the workshop quickly chimed in: “that’s exactly how I implemented self-service for some of our customers, it makes perfect sense to use the same approach for server port and VLAN provisioning”, and everyone else in the room agreed… apart from the networking engineer, who used a counter-argument along the lines of “we only provision a new VLAN or server port every few days, we can do it by hand” and no amount of persuasion would move him.

OMG, It’s Graphs Everywhere

One of the subscribers watching the Graph Algorithms in Networks webinar found the webinar had an interesting impact on his perspective (according to his feedback):

This is genuine content that I haven’t seen anywhere else. It helps to get up to speed on computer science topics that are relevant to network professionals. After attending this webinar, I couldn’t unsee the graphs anymore that are almost everywhere in networking.

This webinar is available with Standard ipSpace.net Subscription as are other webinars by Rachel Traylor including Network Connectivity, Graph Theory, and Reliable Network Design, Queuing Theory and Reliability Theory: Networking through a Systems Analysis Lens. She’ll be back next week starting a series of deep dives into reliability topics. Hope you’ll enjoy them as much as our subscriber did the Graph Algorithms webinar.

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