The hidden cost of inconsistency in engineering teams

Listen on:

Engineering teams’ time and money are often drained by mismatched tooling and poor habits, among other things. 

In this episode of the Simple Talk podcast, the Redgate Advocates share their own stories of this in reality – from a mysterious 47-second retry, to the one ‘rogue’ engineer who derails a team.  

They also discuss how to get everyone pulling in the same direction without forcing everything to be identical, and whether AI helps or hurts. 

Listen or watch to every episode of the Redgate Simple Talk podcast at 
https://www.red-gate.com/simple-talk/podcasts/ 

The hidden cost of inconsistency in engineering teams (10 key takeaways)

Don’t have time to listen to the whole episode? Here are the 10 key takeaways:

Small inconsistences add up

Mismatched paths, server names, and typos across a team waste a lot of engineering time – meaning lost money and productivity.

Script the setup

Version-controlled build scripts, like the one used for Oracle RAC environments, mean everyone builds and learns the same way.

Development is communication

Code and databases are languages – so the less consistent you are, the less effective your team becomes.

Undocumented decisions are expensive

A bare “wait 47 seconds on a retry” comment hid a resubmission bug that took weeks to find. Don’t make the same mistake – ensure thorough documentation of everything.

Common tooling speeds people up

Using a variety of tools – like GitHub and GitLab, or different monitoring tools – leads to team mismatch and bloat. In contrast, shared (and common) tools and processes help to shorten the ramp-up when engineers change teams.

Standardize the process – not every detail

Teams can work differently inside a shared deployment mechanism as long as the core process is the same.

Start small and get people together

Bring in your most adaptable people, run a proof of concept, and get the key players face-to-face to set things up.

Codify what works

Your processes need to survive the weakest person being on call, and sometimes that takes a benevolent dictatorship. One rogue individual, however well-meaning, can send a team off the rails.

AI is a lever (as long as strong guardrails are in place)

AI can help with formatting, linting, documentation, and refactoring. It can still go off the rails, though, and can amplify poor communication – so having strong AI governance is crucial.

Consistent doesn’t mean ‘the same’

Be consistent where it matters, like how you present RPO (recovery point objective) and RTO (recovery time objective). At the same time, try to avoid both foolish consistency and foolish inconsistency.