Every vendor now slaps 'AIOps' on the box. Most of them just added a dashboard that says 'anomaly detected' and called it a day.

I want to tell you what AIOps actually changes, and what it doesn't.

What it actually changes

Correlation. Traditional monitoring alerts on a symptom CPU spike, 500 error, queue depth. AIOps correlates across signals and tells you one story: 'deploy 14a23 on payments-api broke the checkout flow, here are the 7 alerts it triggered.'

Noise reduction. On my old team we got 300 alerts/day. About 40 of them mattered. The rest were duplicates, known-flaky services, or transient spikes. A good AIOps layer suppresses 80% of that before a human sees it.

Root cause suggestions. Not answers suggestions. 'The top 3 likely causes based on historical incidents are...' Still needs a human to confirm. But it saves you 20 minutes of dashboard-hopping.

What it doesn't change

You still need good instrumentation. You still need runbooks.…