Why Is It Still Hard to Judge Issues During On-Call Even as Monitoring Data Keeps Growing?
What wears on the on-call engineer most is often not a total lack of clues. It is that clues have already started to appear one after another, yet nobody can make a clear judgment on site.
What really slows people down is often not “we cannot see anything,” but “we have already seen some signals and still do not know what to judge first.”Ten minutes after a release, the business side reports that the homepage API has started to wobble. Xiao Li, the platform troubleshooting engineer on call, is pulled into the incident chat. The frontend says the page spinner is obviously lasting longer. A backend engineer wonders whether one machine’s load suddenly spiked. Then someone on the duty phone adds, “I think an abnormal alert flashed by just now.” Each person seems to offer one piece of information, but when these fragments are put together, the scene becomes even more uncomfortable: did the host jitter first, did the service slow down first, or did a dependency fail first?
There are not exactly too few clues. That is the difficult part. Business feedback, chat messages, scattered alerts, and a few monitoring pages pulled up on the fly all seem to say something, but nobody can clearly tell which one came first, which one is only a consequence, or which layer should be checked first.
The problem is not that there are no signals. The problem is that the signals appear, but the judgment never gets picked up smoothly.On the surface, Xiao Li looks like he has “already seen a lot.” But ask just three more questions, and the scene jams immediately:
Which type of object should we check first this time? Do these signals really belong to the same incident? Is it already time to escalate?When teams feel that monitoring-based judgment is always one beat too slow, the root cause is often not missing data in the platform. It is that these three judgments were never caught in stride.