Everyone is aware that it always takes longer to find a problem in a network than it should. Moving through the troubleshooting process often feels like swimming in molasses—you’re pulling hard, and progress is being made, but never fast enough or far enough to get the application back up and running before that crucial deadline. The “swimming in molasses effect” doesn’t end when the problem is found out, either—repairing the problem requires juggling a thousand variables, most of which are unknown, combined with the wit and sagacity of a soothsayer to work with vendors, code releases, and unintended consequences.

It always takes longer to find a problem than it should. Moving through the troubleshooting process often feels like swimming in molasses—it’s never fast enough or far enough to get the application back up and running before that crucial deadline. The “swimming in molasses effect” doesn’t end when the problem is found out, either—repairing the problem requires juggling a thousand variables, most of which are unknown, combined with the wit and sagacity of a soothsayer to work with vendors, code releases, and unintended consequences.

There is never enough. Whatever you name in the world of networking, there is simply not enough. There are not enough ports. There is not enough speed. There is not enough bandwidth. Many times, the problem of “not enough” manifests itself as “too much”—there is too much buffering and there are too many packets being dropped. Not so long ago, the Internet community decided there were not enough IP addresses and decided to expand the address space from 32 bits in IPv4 to 128 bits in IPv6.

It’s not unusual in the life of a network engineer to go entire weeks, perhaps even months, without “getting anything done.” This might seem odd for those who do not work in and around the odd combination of layer 1, layer 3, layer 7, and layer 9 problems network engineers must span and understand, but it’s normal for those in the field. For instance, a simple request to support a new application might require the implementation of some feature, which in turn requires upgrading several thousand devices, leading to the discovery that some number of these devices simply do not support the new software version, requiring a purchase order and change management plan to be put in place to replace those devices, which results in … The chain of dominoes, once it begins, never seems to end.

While those working in the network engineering world are quite familiar with the expression “it is always something!,” defining this (often exasperated) declaration is a little trickier. The wise folks in the IETF, however, have provided a definition in RFC1925. Rule 7, “it is always something,” is quickly followed with a corollary, rule 7a, which says: “Good, Fast, Cheap: Pick any two (you can’t have all three).”

Many within the network engineering community have heard of the OSI seven-layer model, and some may have heard of the Recursive Internet Architecture (RINA) model. The truth is, however, that while protocol designers may talk about these things and network designers study them, very few networks today are built using any of these models. What is often used instead is what might be called the Infinitely Layered Functional Indirection (ILFI) model of network engineering. In this model, nothing is solved at a particular layer of the network if it can be moved to another layer, whether successfully or not.

In the networking world, many equate simplicity with the fewest number of moving parts. According to this line of thinking, if there are 100 routers, 10 firewalls, 3 control planes, and 4 management systems in a network, then reducing the number of routers to 95, the number of firewalls to 8, the number of control planes to 1, and the number of management systems to 3 would make the system “much simpler.” Disregarding the reduction in the number of management systems, scientifically proven to always increase in number, it does seem that reducing the number of physical devices, protocols in use, etc., would tend to decrease the complexity of the network.

The world of information technology is filled, often to overflowing, with those who “know better.” For instance, I was recently reading an introduction to networking in a very popular orchestration system that began with the declaration that routing was hard, and therefore this system avoided routing. The document then went on to describe a system of moving packets around using multiple levels of Network Address Translation (NAT) and centrally configured policy-based routing (or filter-based forwarding) that was clearly simpler than the distributed protocols used to run large-scale networks. I thought, for a moment, of writing the author and pointing out the system in question had merely reinvented routing in a rather inefficient and probably broken way, but I relented.

There are many times in networking history, and in the day-to-day operation of a network, when an engineer has been asked to do what seems to be impossible. Maybe installing a circuit faster than a speeding bullet or flying over tall buildings to make it to a remote site faster than any known form of conveyance short of a transporter beam (which, contrary to what you might see in the movies, has not yet been invented).