We now write a short note after every incident, and the rule is that it has to be useful to somebody who was asleep at the time. What happened, how we noticed, what we did and what we changed. Blame is not one of the headings, and it has never needed to be.
Performance work is mostly subtraction. Before reaching for a clever technique, find out what the page is doing that nobody asked it to do. We have never yet profiled something without finding a piece of work that could simply be removed, and removal has the best cost profile of anything.
Do the rename in its own commit. It feels like extra ceremony right up until someone tries to find out when the behavior changed and the history shows a single enormous diff. Separating the mechanical change from the interesting one costs thirty seconds and saves a very long afternoon.
The wrong theory
export function debounce(fn, wait = 200) {
let timer;
return (...args) => {
clearTimeout(timer);
timer = setTimeout(() => fn(...args), wait);
};
}
plain preformatted text with no code element
Old code deserves a little respect, even when it is bad. It has been running in production for years and has already met all the strange inputs you have not thought of yet. Read it carefully before rewriting it, because the odd conditional in the middle is usually a scar from a real incident.
The fix itself took four lines. Finding out where those four lines belonged took most of a week, including one afternoon spent proving that the bug was not where everyone, including me, had been absolutely certain it was. That is a normal ratio, and it is worth telling new people about.
The review comment that stuck with me was a question: what happens if this runs twice? It had not occurred to me, and the answer was unpleasant. Since then I ask it of every job, webhook and migration I touch, and it has been worth more than any tool I have installed.
Where it started
After that, the only thing left was to delete the workaround. This is the step that tends to get skipped, which is how a codebase ends up with fixes for bugs that stopped existing years ago. Put the removal in the same ticket, or accept that it will outlive everyone on the team.
The number looked great on the dashboard, which should have been the first warning. It turned out we were averaging across every request, including the health checks, which are very fast and very frequent. Once they were excluded the graph told a much less flattering and far more useful story.
Every layer in this stack is caching something, and each one was added by a reasonable person solving a real problem. The trouble only starts when nobody remembers all of them. Before adding another, draw the whole path on paper and write down who clears each cache and when it happens.
What we changed afterwards
Naming turned out to matter more than the structure did. Once the function stopped being called process and started saying what it did, two of the three bugs in the surrounding code became obvious to everybody reading it, including the person who had written them, who was me.
There is a version of this that uses a library, and for a larger team it might be the right call. We looked at it, read the changelog and counted the dependencies. For the handful of cases we actually have, thirty lines we understand beat three thousand we would have to trust.
Did you try this with a cold cache? We saw very different numbers on the first request.