Sometimes doom-scrolling through Twitter has its rewards. A good while back, in between the Ever Givenš¢ memes (how we miss the big boat!) and the usual screamsš± into the void, I came across this tweet from Charity Majors (@mipsytipsy), CTO atĀ @honeycombio
Thatās it. Thatās the tweet.
These are such great analogies. Unless weāre running away from imminent dangerš¦, humans have a really hard time processing that faster is safer. Usually, when we feel threatened or uncertain, we slow down, take our time and look at our options. š¤
Even in relatively comfortable situations, we sense that increasing our speed will also increase our risk. And in the world of software these ādeep-seated biological impulsesā create human barriers to automation.
Yeah, why is that?
There are several reasons why tech leads and managers cling to these deep-seated notions of predictability, safety and routine. Continuous delivery scares them becauseā¦..
- They donāt trust their teams to push desirable changes to PROD every 20 minutes ā
- They think batching changes means more oversight (also great for spreading any potential blame around š)
- They think slower deploys š make for higher quality and fewer bugs
DevOps people know none of this is true. Low frequency deploys and batched changes arenāt good for productivity, but they do give managers the illusion of control. And because the idea that āfaster is saferā doesnātĀ feelĀ right, people will make all kinds of trade-offs to hold on to that illusion.
Wizadora, nothingās surer!
As ever, DORAā¤ļø has findings that back up what we see in the field. In the 2018 report, they found that āmisguided performers suffer from a cautious approach.ā Itās worth quoting at length:
āWe often hear from organizations that prefer to take a cautious approach to software development and delivery. They assure usāand their stakeholdersāthat releasing code infrequently can be an effective strategy, as they use the extra time between deployments for testing and quality checks to minimize the likelihood of failure. For the most part, they achieve that goal.ā
Notice the positive reinforcement. They believe slow is safe and theyāre even seeing results that confirm those beliefs. Itās all fun and games until someone loses an eye though. The report continues:
āDeveloping software in increasingly complex systems is difficult and failure is inevitable. Making large-batch and infrequent changes introduces risk to the deployment process. When failures occur, it can be difficult to understand what caused the problem and then restore service. Worse, deployments can cause cascading failures throughout the system. Those failures take a remarkably long time to fully recover from.āĀ š¬
How long exactlyā°? DORA found that anywhere between 1 and 6 months was a reasonable ballpark for a full recovery. And it was all going so well! We were on the ice and inching along. Suddenly, weāre flat on our faces with no easy way of getting back up. Turns out slow wasnāt that safe after all.
Plus ca change!
We found something similar in a previous post on the FCAās report onĀ Implementing Technology Change. Asked to grade their own homework ā , managers thought that their costly and time-consuming change management processes were effective, precisely because they were costly and time-consuming!
If it costs money and takes time it must be doing something, right? Managers were buying into that illusion even as they reported that change failure rates were the single biggest cause of incidents. Cognitive dissonance to the moon! š š
Charityās tweet inspired me (thank youš!) because the idea that āspeed is safetyā applies to change management as well as continuous delivery. Theyāre part of the same value stream. If you can automateš¤ your change and release controls as part of your DevOps pipelines, thereās no reason to delay release candidates because some guyšØš»āš¼ with a clipboard needs to eyeball š them first.
Managers still see their job as a high wire act where a pinky toe on either side of the rope means disaster. We need to encourage them to go faster by thinking more like ice skaters and less like tightrope walkers.
Also published here.