Skip to main content

Before re-usability comes usability

Reuse remains one of the holy grails in software architecture. How wonderful is life if we can write a piece of code(component, module, service, you name it...) only once and then start to use it everywhere?

It is not surprising that I see a lot of IT managers and architects always play the 'reusability' card no matter the context. Reusability is important. Period!

The risks of reusability

As a consequence hours and hours are spend in meetings, design discussions, alignment sessions between stakeholders… to find out how we can make what we are trying to build reusable. This not only overcomplicates our designs but can also lead to gold plating(“What if this happens?”, “Maybe we will need that somewhere in the future?”).

Another effect of this unhealthy addication to reuse is that it starts to hinder usability. By building a UI component, a piece of code or a data model in such a way that it becomes re-usable, it also becomes more ‘generic’ or ‘general purpose.

My youngest son is learning to write. Yes, he can use a blank sheet of paper to write his first words, but a purpose built paper with preprinted lines makes it a lot easier for him to write.

Although a blank sheet of paper is reusable in a lot more situations, it makes his job; writing his first words; a lot harder.

Therefore:

Before something becomes re-useable, it must first be useable.

And that can only be achieved when it is built for purpose.

Reuse is a fallacy

The core idea behind reuse is to get things done faster. We believe that by creating something reusable we can build our IT solutions faster.

One of the reasons we fall in this trap, is that we confuse reusability with standardization.  Standardized parts support building something at a lower price and can easily be reused in multiple products. By investing extra time up front while designing a part, we can save time and money in the long run because we can make as many copies as we want, without having to pay extra.

Although this is certainly applicable in the real world, it is far less the case in software development.  In software development, we can prototype a lot faster. The cost of designing a component is really small compared to designing physical products.

The hidden cost of reuse

A situation I have seen a lot at customers is that first a large amount of time is spend in designing a component in such a way that it should be reusable. (Notice the should be, because at the moment we have designed the component, we have not implemented it anywhere so we have no idea if we can achieve our dream of reusability).

This component is then provided to a development team that tries to use it, has to spend time to understand how it works, if it can tackle their needs, if changes are needed and so on.  As a result, each party that tries to use that asset, needs to spend extra time, costs and efforts to understand how the asset works, if it can handle their context, if they need to change it to make it work, to test it and so on. In other words: Each user of the “reusable” asset has to make the asset usable for their context.

Worst case this can cost more than writing a solution for the given context from scratch.

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Cache stampede: when our cache turned against us

While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...

A complex system designed from scratch never works

A few years ago, I worked as an architect on a big mainframe rewrite. I still count it as one of my failures. Not because the technology was wrong, but because I couldn't convince the management team to simplify the approach. Years later, the organization is still struggling to get the new system up and running. I left the project at the time, because I couldn't put my name behind an approach that would take very long and cost a lot of money without a working system to show for it along the way. Gall’s Law That memory keeps coming back to me, because it's a textbook case of Gall's Law playing out in real life. Gall's Law , from John Gall's Systemantics , states it plainly: A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works, and it cannot be patched to make it work. You have to start over with a simple system that works. What does that mean in practice,...