In the relatively short time I’ve been active here, I’ve unfortunately experienced more major service disruptions and rollback situations than I would expect from a platform of this scale and importance. These incidents typically appear to stem from production updates that weren’t fully tested or that lacked a quick/reliable rollback path.
As an IT professional, I’ve worked at several companies (from startups to large enterprises) and every single one of them - without exception - enforces a formal change control / change management process for exactly these reasons. A lightweight but effective policy usually includes the following core elements:
All non-emergency changes to production require documentation (what is changing, why, expected impact, testing performed, rollback plan).
Changes are peer-reviewed and explicitly approved by at least one other engineer or a manager before deployment.
Thorough testing in a staging environment that mirrors production as closely as possible.
A verified, tested rollback procedure that can be executed quickly if something goes wrong.
For higher-risk changes: staged rollouts (canary, percentage-based, or region-by-region) and automated health checks that can auto-revert if metrics degrade.
Even a relatively simple version of the above dramatically reduces the frequency and severity of outages while still allowing teams to move quickly when needed.
I realize implementing formal process takes effort, but given how disruptive the recent incidents have been for your users (and presumably for your team as well), I believe the long-term payoff would be enormous in terms of reliability, user trust, and probably team morale too.
I’d be happy to share real-world examples of lightweight change-control workflows that have worked well at previous companies if that would be helpful.
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8 months ago

jr smith
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8 months ago

jr smith
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