Skip to main content

Manumation, the worst best practice.


There is a pattern I see with many clients, often enough that I sought out a word to describe it: Manumation, A sort of well-meaning automation that usually requires frequent, extensive and expensive intervention to keep it 'working'.

You have probably seen it, the build server that needs a prod and a restart 'when things get a bit busy'. Or a deployment tool that, 'gets confused' and a 'test suite' that just needs another run or three.

The cause can be any number of the usual suspects - a corporate standard tool warped 5 ways to make it fit what your team needs. A one-off script 'that manager' decided was an investment and needed to be re-used... A well-intended attempt to 'automate all the things' that achieved the opposite.

They result in a manually intensive - automated process, where your team is like a character in the movie Metropolis, fighting with levers all day, just to keep the lights on upstairs. Manual-automation, manumation.

Metropolis (1927)

The answer is to use... Sorry, I don't have a magic tool, with a funky name, light-hearted ReadMe and a 3 word install command.

When presented with this situation I advise people to take a step back. Think about what they want for their team, and themselves. We want to deliver faster and easier right?

Often removing a tool, can save time and work. Could that complicated deployment system be replaced with a 5 line bash script?

Could that test suite, focus on the sort of techniques computers are good at? (reading and writing to APIs at speed, randomisation, graphing, comparison/diffing of complicated documents etc.) Many teams fall into the trap of 'look no hands' as if they are trying to spin plates rather than build quality software, fast.

Sounds simple, but when people are wedded to a tool or an idea of how things 'should be' because it was in that book - by that guy "its a best practice!" then it can be difficult to get things simplified.

Step back before things become comical. Safety Last! (1923)

But simplification is often the easiest and quickest place to start. It rarely makes sense to mix in more, to something that is already a muddle. If your team is already manually keeping the 'automation' going, then letting someone do the process manually - for a few hours will probably help you figure out what can be reliably automated, and what are the sticky complicated bits - people are quicker at doing.

Software testing is often overtaken by the above sort of [broken] tools feeding frenzy. The look no hands evangelist, may have had great ideas, but did that suite of tests really make your life easier? Did it free up time for finding the important bugs? Or are you now finding the real bugs in the test automation, while the software your product owner is paying for is hobbling along slowly and expensively to production?
Labels:

Comments

  1. Unknown20 February 2018 at 08:56

    I know what you mean. I've seen these everywhere. Automation that was supposed to save time, but ended up requiring more work to maintain by hand. Especially in software testing.

    But any automation is code at the end of the day. And poorly implemented automation is simply code with code-smells. And tests created with many of these software testing tools are rife with poor code hygiene, such as hard-coded IDs, magic waits, and un-readability that compromises the maintainability of the tests (and sanity of the testers/developers).

    We need better tools that work for us, not the other way around.

    Oh, and if you are looking for an robust way to automate testing for web apps, try UI-licious (https://uilicious.com). I'm the maker of it, and I gladly invite you to try it and tell me if this is still manumation needed. ;)

    Shi Ling
    @taishiling (twitter)

    ReplyDelete

Post a Comment

Popular posts from this blog

Can Gen-AI understand Payments?

When it comes to rolling out updates to large complex banking systems, things can get messy quickly. Of course, the holy grail is to have each subsystem work well independently and to do some form of Pact or contract testing – reducing the complex and painful integration work. But nonetheless – at some point you are going to need to see if the dog and the pony can do their show together – and its generally better to do that in a way that doesn’t make millions of pounds of transactions fail – in a highly public manner, in production.  (This post is based on my recent lightning talk at  PyData London ) For the last few years, I’ve worked in the world of high value, real time and cross border payments, And one of the sticking points in bank [software] integration is message generation. A lot of time is spent dreaming up and creating those messages, then maintaining what you have just built. The world of payments runs on messages, these days they are often XML messages – and they ...
Post a Comment
Read more

What possible use could Gen AI be to me? (Part 1)

There’s a great scene in the Simpsons where the Monorail salesman comes to town and everyone (except Lisa of course) is quickly entranced by Monorail fever… He has an answer for every question and guess what? The Monorail will solve all the problems… somehow. The hype around Generative AI can seem a bit like that, and like Monorail-guy the sales-guy’s assure you Gen AI will solve all your problems - but can be pretty vague on the “how” part of the answer. So I’m going to provide a few short guides into how Generative (& other forms of AI) Artificial Intelligence can help you and your team. I’ll pitch the technical level differently for each one, and we’ll start with something fairly not technical: Custom Chatbots. ChatBots these days have evolved from the crude web sales tools of ten years ago, designed to hoover up leads for the sales team. They can now provide informative answers to questions based on documents or websites. If we take the most famous: Chat GPT 4. If we ignore the...
Post a Comment
Read more