Every automation rule you write feels obvious on the afternoon you write it. That is exactly why AIOps pair review matters: the person who built a correlation rule, a suppression window or an auto-remediation step has read it so many times that the eye slides over its flaws. A colleague seeing it cold will trip over them in minutes. Below are the questions teams ask most often when they start pairing on operations changes, answered without ceremony.

What does AIOps pair review actually mean?

It means that no change to how your monitoring thinks or acts goes live until a second person has looked at it alongside you. That can be a screen-share, a desk-side chat or a five-line pull request comment. Whichever format you pick, the routine counts more than the tooling. One person explains what the change is meant to do; the other tries to break that explanation with awkward questions.

The author is the worst candidate for catching their own mistakes. They know what they meant, so they read what they meant rather than what is on the page. A reviewer only has the page. If the rule is ambiguous to them, it will be ambiguous to the engineer who inherits it at three in the morning.

Which changes deserve a second pair of eyes?

Anything that alters what the system tells people or does on its own. In practice that is a short list:

• New or edited correlation and grouping logic, because a wrong join quietly merges unrelated incidents.
• Thresholds, baselines and anomaly sensitivity settings.
• Automated actions such as restarts, scaling nudges or ticket creation.
• Routing and escalation tables, where one mistyped team name sends pages into a void.
• Maintenance windows and mute rules, which have a habit of outliving their purpose.

Dashboard colour tweaks and wording fixes can skip the ritual. Save the attention for changes whose failure would be silent.

Is pair debugging different from review?

Many teams blur the two, so it helps to separate them before you commit to a routine.

Yes, and it is worth having both. Review happens before the change ships; pair debugging happens while you are chasing something live. When an incident is unfolding, the person at the keyboard tends to tunnel into one theory. Sitting a second engineer beside them, even virtually, gives you somebody whose only job is to ask “what else could explain this?” and to keep a running list of what has already been ruled out.

A useful split is driver and navigator. The driver types and narrates. The navigator watches the clock, reads the graphs the driver has stopped looking at and says the uncomfortable thing, such as “we have not checked whether the deploy finished”. Swap roles every twenty minutes or so, because fatigue shows up differently in each seat.

What should the reviewer actually look for?

Give them a short, concrete lens rather than a vague instruction to “have a look”. Four prompts cover most ground.

1. Intent against effect. Ask the author to say in one sentence what should happen, then trace one real past event through the rule and see whether it matches.
2. Edge cases. What happens when a source goes quiet, sends duplicates or arrives late? Missing data is the classic blind spot.
3. Blast radius. If this rule is wrong, how many services feel it and how fast would anyone notice?
4. Reversal. Can the change be switched off by someone who did not write it, using nothing but its name?

Notice that none of these require the reviewer to be a specialist in the affected system. A fresh mind with these prompts will still surface problems the author skimmed past.

Won’t pairing slow us down?

It adds minutes to a change and removes hours from the incident that follows a bad one. The honest accounting is that most reviews find nothing dramatic. What they find instead is the small stuff: a copied label that still names the old environment, a threshold written in milliseconds where the source reports seconds, a notification channel that was archived last quarter. Each one is trivial to fix before launch and irritating to diagnose after.

If speed is the worry, keep the loop tight. Reviews should be small, ideally something readable in ten minutes, and the reviewer should answer within the same working day. Large bundles of unrelated edits are what make review feel slow, so split them.

How do we keep it from becoming a rubber stamp?

Rubber stamps appear when review is a box to tick, not a conversation. Three habits help. First, require the reviewer to write down one thing they checked, not merely “looks good”. Second, rotate who reviews whom so nobody settles into a comfortable pattern of mutual approval. Third, celebrate catches. When someone finds a mistake in your work, thanking them out loud makes the next review sharper, because people look harder when finding something is rewarded.

It also helps to be generous in return. Pairing works as a favour economy: you spend ten minutes on a colleague’s change today and they spend ten on yours tomorrow. Teams that track the balance informally, without scoreboards, tend to keep it healthy.

Where does this idea show up outside operations?

Almost everywhere that details carry consequences. Anyone who has had a friend glance over a form before submitting it has done a version of this. A good example is medical travel planning: KneeHospitals is a medical tourism website organised by country, carrying hospital and doctor directories, along with quote and appointment request pages.
Whatever the form, the sensible habit is to hand your entries to a relative or friend and let them read the dates, spellings and reference numbers against your paperwork before you press send. Nothing clinical is involved; it is just a second reader. The same instinct, applied on a quiet Tuesday afternoon, is what keeps a bad regex out of production.

How do we start on Monday?

Pick one category of change from the list above and make pairing mandatory for it only. Write the four review prompts on a card or a wiki page. Agree a response time. After a fortnight, look at what the reviews caught and decide whether to widen the scope.

If you are still deciding how much intelligence to give your event pipeline, our walkthrough on bringing automation into an IT group sensibly sets out the groundwork. For the human side of live troubleshooting, the piece on getting started with live IT troubleshooting complements what you have read here. And if your alert volume is the thing wearing the team down, tidying event floods with smarter tooling is a sensible companion read.

What about remote and night-shift teams?

Pairing travels well. Remote engineers can share a screen and a voice channel, and a written review in a ticket works for people in different time zones, provided the author supplies enough context for a cold read. Night-shift staff are the group most likely to be working alone, and also the group whose mistakes are least likely to be noticed before morning. If your overnight rota is thin, agree a standing arrangement where a daytime colleague reviews overnight changes first thing, and where the on-call engineer has a named person to phone for a quick sanity check before running anything irreversible.

Another small practice worth stealing: when you hand a change to a reviewer, tell them which part you are least sure about. It sounds like admitting weakness, yet it directs scarce attention to the right place and makes honest uncertainty normal rather than embarrassing.

The short version

Whoever wrote the change cannot see it clearly. Ask a colleague to look, give them concrete questions, keep the changes small, rotate partners and return the favour promptly. The cost is a few minutes; the payoff is fewer surprises when the pager goes off.