AI SRE
An AI SRE is an agent that does SRE work.
It reads alerts, logs, traces and code, works out what broke and why, and drafts the write-up. What that means, how it differs from AIOps and from a human SRE, and how to evaluate one.
What an AI SRE does.
The first hour of an incident, done before anyone opens a laptop.
- Triage
- Reads the alert, pulls recent deploys and similar past alerts, and proposes a severity.
- Investigation
- Queries logs, traces, deploys and related services, and cites the evidence for a likely cause.
- Runbooks
- Some tools run approved runbook steps, such as restarting a pod. Each one should need approval and leave an audit trail.
- Postmortems
- Assembles the timeline, the cause and the follow-ups for your team to review.
AI SRE, AIOps and a human SRE are different jobs.
Three things that get talked about as if they were one.
- AIOps
- Classifies alerts: correlation, anomaly detection, noise reduction. It does not read code or reason about cause.
- An AI SRE
- Investigates incidents end to end: reads code, queries systems and reasons across signals.
- A human SRE
- Designs for reliability, plans capacity and makes the judgment calls. AI takes the repetitive part.
How to evaluate one.
Most demos look the same. The difference shows under real conditions.
- Replay a real incident from last quarter, and compare its answer and speed with your team's
- Check what it can actually read: code, deploys and infrastructure, not just alert payloads
- Check its defaults: read-only, every write approved, a full audit trail
- Watch how it handles doubt: a useful one says how sure it is, and what would prove it wrong
Dalton does this work, and starts earlier.
Dalton is an AI Reliability Platform. It investigates incidents the way an AI SRE does, and also watches for drift before any alert fires and hands you the fix to approve.
What people ask about AI SRE.
What is an AI SRE?
An AI system that does site reliability engineering work. It investigates alerts, triages incidents and drafts postmortems, reading logs, traces, code and infrastructure the way an engineer on call would.
How is an AI SRE different from AIOps?
AIOps classifies alerts; an AI SRE investigates them. AIOps groups and filters the signals your alerting produces. An AI SRE reads code, queries systems and reasons about the cause.
Will AI SREs replace human SREs?
No. They take the repetitive investigation work, so your SREs spend their time on design, capacity and the judgment calls that need context.
What can an AI SRE do that alerting can't?
Explain the alert. Alerting fires when a number crosses a line. An AI SRE pulls the logs, deploys and related services, and tells you what probably caused it and why.
How do we evaluate AI SRE tools?
Replay a real incident. Give the tool the alert and the data your team had, and compare its answer and its speed with what your team concluded. Then check what it can read, and that every write needs approval.
How is an AI SRE different from an AI reliability platform?
An AI SRE starts when an alert fires; a platform starts before. An AI reliability platform also watches for drift, reviews changes and keeps a current map of the whole system, so it can prevent incidents as well as investigate them.
Does Dalton do AI SRE work?
Yes, and more. Dalton is an AI Reliability Platform: it investigates incidents like an AI SRE, and also catches drift before any alert fires and hands you the fix to approve.
Test it on a real incident.
A demo first, then a two-week proof of concept on your own production, read-only on every integration.