The agentic SRE, written down.
How autonomous incident response actually works, where AI SRE tools differ, and why the safest fix is a reviewed pull request — not an auto-deploy to production.
What Is an AI SRE? Agentic Incident Response, Explained
An AI SRE is an autonomous agent that investigates production incidents and ships the fix. Here's how agentic incident response actually works in 2026.
Read the guide →Guides & perspectives
Agentic AI vs AIOps: What's the Difference in 2026?
AIOps correlates and detects; agentic AI runs perceive-reason-act and produces a fix. Here's how the two differ — and where each one stops in an incident.
Read →Why Your AI SRE Should Open a Pull Request, Not Deploy to Prod
An AI SRE should open a reviewed pull request, not auto-deploy. Here's why bounded autonomy ends at the merge button — and why human-in-the-loop wins.
Read →Best AI SRE Tools in 2026: The Complete Comparison
The best AI SRE tools in 2026, compared. HealOps leads on the fix-shipping motion: a reviewed pull request with a regression test, logs kept in your cloud.
Read →How to Reduce MTTR: A Practical Guide for SRE Teams
To reduce MTTR, attack where the time actually goes: handoff and sequential investigation. Here are concrete tactics — alerting, runbooks, parallel investigation, fix-as-PR.
Read →Keep Your Logs in Your Cloud: AI Incident Response Without a Data Lake
A read-only AI SRE that keeps logs in your cloud avoids the cost, compliance, and security risk of a vendor data lake. Here's the on-incident-slice model and what to ask vendors.
Read →HealOps vs — head-to-head comparisons
Honest, side-by-side breakdowns of how HealOps compares to the other AI SRE and incident-response tools you're evaluating.